Mohamed Saber | Energy | Best Researcher Award

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Mr. Mohamed Saber | Energy | Best Researcher Award

Lecturer Assistant from Zagazig University, Egypt

Mohammed Al-Desouky is a dedicated early-career researcher and civil hydraulic engineer currently serving as a Lecturer Assistant in the Department of Water and Water Structures Engineering at Zagazig University, Egypt. His academic and professional journey reflects a strong commitment to advancing sustainable hydraulic systems, energy harvesting technologies, and computational fluid dynamics (CFD) applications. Mohammed’s work integrates theoretical research with hands-on experimentation and simulation, making significant strides in optimizing hydraulic structures for renewable energy production. His notable contribution includes a publication in the high-impact journal Renewable Energy, where he introduced a novel design for pico-hydropower generation using Dethridge waterwheels. His work addresses real-world challenges in low-head energy generation systems and demonstrates both academic rigor and practical relevance. In addition to his academic responsibilities, he is actively engaged in professional engineering practices as a civil hydraulic engineer and co-founder of a construction company. Mohammed’s multidisciplinary expertise spans water resources engineering, structural analysis, fluid mechanics, and advanced CFD modeling. His diverse experience, technical proficiency, and innovative mindset position him as a valuable contributor to the fields of renewable energy and hydraulic engineering. While still early in his research career, he displays notable potential for future impact through expanded collaborations, further publications, and international academic engagement.

Professional Profile

Education

Mohammed Al-Desouky holds a Bachelor of Science (B.Sc.) degree in Civil Engineering from Zagazig University, Egypt, earned in 2019 with an outstanding academic record, graduating with an overall grade of “Excellent with Honor” (88.65%). His undergraduate studies provided a comprehensive foundation in structural mechanics, fluid dynamics, and water resources engineering. He is currently pursuing a Master of Science (M.Sc.) degree in Water and Water Structures Engineering at the same university, with an expected completion year of 2025. His master’s thesis, titled “Investigation of Energy Harvesting by Water Wheels at Low-head Heading up Structures,” reflects a focused research interest in renewable energy applications within hydraulic engineering. This work combines field experimentation with computational analysis to evaluate the feasibility and efficiency of waterwheel systems for small-scale hydropower generation. His educational journey is characterized by a strong integration of theory and practice, reinforced by involvement in laboratory work, project supervision, and engineering simulations. Mohammed’s academic progression demonstrates a clear trajectory toward research excellence and technical innovation in civil and environmental engineering. As he continues to expand his scholarly contributions through graduate research and peer-reviewed publications, his education equips him with the necessary skills to address global challenges in sustainable water infrastructure.

Professional Experience

Mohammed Al-Desouky has built a multifaceted professional background in academia, research, and engineering practice. Since December 2019, he has worked as a Lecturer Assistant in the Department of Water and Water Structures Engineering at Zagazig University. In this role, he supports the delivery of undergraduate courses and laboratory sessions in fluid mechanics, hydraulics, and water structures, while also supervising student projects and contributing to curriculum development. Concurrently, he serves as a Civil Hydraulic Engineer at the university’s Irrigation and Hydraulics Lab, conducting both experimental and computational research on flow behavior and hydraulic systems. Beyond academia, Mohammed has pursued various freelance roles. Between 2020 and 2021, he worked as a structural design freelancer, providing engineering solutions using SAP2000, ETABS, and SAFE. Since 2022, he has been engaged as a general contracting engineer, managing on-site construction, quality control, and stakeholder coordination. He also operates as a freelance CFD engineer, delivering fluid dynamics simulations and technical assessments using ANSYS Fluent and FLOW-3D. In addition, Mohammed co-founded CIVIC, a construction company specializing in design-build services and real estate. His experience across academic, research, and industry domains illustrates his versatility, leadership potential, and commitment to translating engineering theory into practical applications.

Research Interests

Mohammed Al-Desouky’s research interests lie at the intersection of civil engineering, hydraulics, and sustainable energy technologies. His primary focus is on the development and optimization of low-head hydropower systems, particularly the use of waterwheels in energy harvesting applications. Through his M.Sc. research, he explores the integration of traditional hydraulic structures with modern energy generation techniques to create efficient and eco-friendly solutions. This includes experimental investigations and computational modeling of flow behavior in open channels and water passage systems. His interest in Computational Fluid Dynamics (CFD) has led him to apply advanced simulation tools such as ANSYS Fluent and FLOW-3D to study fluid-structure interactions, energy dissipation, and turbine performance under varying hydraulic conditions. Mohammed is also interested in techno-economic assessments of renewable energy systems, aiming to ensure not only the technical feasibility but also the economic sustainability of engineering solutions. In addition, his work touches upon the structural analysis and design of civil infrastructure, with particular attention to how structural and hydraulic systems interact. He is motivated by the potential for interdisciplinary research to address global challenges in clean energy, water scarcity, and resilient infrastructure, and seeks to expand his contributions through international collaboration and high-impact publications.

Research Skills

Mohammed Al-Desouky possesses a comprehensive set of research skills that span theoretical analysis, computational modeling, and experimental evaluation. He is proficient in conducting Computational Fluid Dynamics (CFD) simulations using advanced platforms such as ANSYS Fluent and FLOW-3D. These tools allow him to analyze complex flow fields, pressure distributions, and energy conversion mechanisms within hydraulic structures. He is also skilled in 3D modeling for CFD pre-processing using AutoCAD 3D and SOLIDWORKS, enabling the creation of accurate geometrical inputs for simulation. In structural engineering, he is adept at using SAP2000, ETABS, SAFE, and CSI Column for load analysis, system modeling, and structural detailing. His research capabilities extend to numerical analysis and data interpretation, where he can derive velocity vectors, pressure contours, and turbulence profiles to assess fluid behavior. Mohammed is equally comfortable with physical experimentation, having worked extensively in hydraulic labs on open channel flow setups. He is experienced in technical report writing, academic presentations, and collaboration on multidisciplinary projects. His ability to bridge simulation with real-world engineering scenarios enhances the practical impact of his research. Combined with his knowledge of productivity tools like Microsoft Office and Adobe Photoshop, he is well-prepared to deliver high-quality research outcomes with technical precision.

Awards and Honors

Mohammed Al-Desouky has been recognized for his academic excellence and early contributions to engineering research. He graduated with honors from Zagazig University in 2019, earning a B.Sc. in Civil Engineering with an “Excellent with Honor” distinction, reflecting consistent academic performance throughout his undergraduate studies. His high GPA and class ranking earned him a teaching assistant position immediately after graduation, enabling him to contribute to both education and research activities within the university. Although still in the early stages of his professional and academic career, he has already secured a significant research publication in the prestigious Renewable Energy journal, which in itself represents a notable milestone and demonstrates peer-recognized research output. Additionally, his membership in the Egyptian Engineers Syndicate since 2024 reflects his professional standing within the engineering community in Egypt. While he has not yet accumulated a broad list of national or international awards, his current achievements highlight a trajectory of growing impact and recognition. His combination of academic excellence, publication success, and professional engagement position him well for future honors and research-based awards as his career develops. With continued output and wider visibility, he is poised to earn more distinguished recognition in the field of sustainable civil engineering.

Conclusion

Mohammed Al-Desouky exemplifies the profile of a promising early-career researcher in the field of civil and hydraulic engineering. With a strong foundation in both theoretical and applied aspects of engineering, he demonstrates a clear focus on integrating renewable energy concepts into water infrastructure systems. His work on pico-hydropower systems using waterwheels represents an innovative approach to sustainable energy generation, supported by robust CFD modeling and experimental validation. His publication in a reputable international journal signifies a high level of academic credibility, and his technical skill set equips him to tackle complex engineering problems. Beyond his research, Mohammed is active in teaching, lab supervision, and engineering consultancy, reflecting a well-rounded professional identity. Although his research output is still emerging, the quality and relevance of his work suggest significant future potential. Areas for further development include expanding his publication record, increasing international collaborations, and pursuing competitive research grants. With continued commitment and strategic engagement in the research community, Mohammed is well-positioned to become a leading figure in water and energy systems engineering. His current accomplishments serve as a strong foundation for long-term academic and professional success in addressing global sustainability challenges.

Publication Top Note

  1. Title: Techno-economic Assessment of the Dethridge Waterwheel under Sluice Gates in a Novel Design for Pico Hydropower Generation
    Journal: Renewable Energy
    Publication Date: August 2024
    Type: Journal Article
    DOI: 10.1016/j.renene.2024.121206
    ISSN: 0960-1481
    Authors: Mohamed Saber, Gamal Abdelall, Riham Ezzeldin, Ahmed Farouk AbdelGawad, Reda Ragab

 

Rex Gyeabour Abrefah | Nuclear Engineering | Best Researcher Award

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Prof. Dr. Rex Gyeabour Abrefah | Nuclear Engineering | Best Researcher Award

Chief Scientific Officer/Head of Nuclear Safety Department from Nuclear Regulatory Authority, Ghana

Prof. Rex Gyeabour Abrefah is a distinguished nuclear engineer and regulatory expert with a rich career spanning over 15 years in Ghana’s nuclear sector. He currently serves as Chief Research Scientist at the Nuclear Regulatory Authority (NRA) and has been instrumental in shaping national policies and regulatory frameworks in nuclear safety. His professional journey demonstrates progressive responsibilities in both research and leadership, including his role as Head of the Nuclear Safety Department. Prof. Abrefah holds a PhD in Nuclear Engineering and has actively contributed to Ghana’s transition from highly enriched uranium (HEU) to low enriched uranium (LEU) reactor cores, working on major international projects coordinated by the IAEA. In addition to his regulatory duties, he plays a key academic role as an Associate Professor at the University of Ghana, supervising graduate students and advancing education in nuclear sciences. He has consistently represented Ghana in high-level international forums and training events across Europe, North America, and Africa. With comprehensive expertise in reactor physics, thermal hydraulics, and radiation safety, Prof. Abrefah exemplifies leadership in nuclear research and governance. His contributions are central to both national energy development and Africa’s growing nuclear safety network, positioning him as a credible candidate for high-impact research awards.

Professional Profile

Education

Prof. Rex Gyeabour Abrefah’s academic journey reflects a strong foundation in physics and nuclear engineering. He began his tertiary education at Kwame Nkrumah University of Science and Technology, Kumasi, where he earned a Bachelor of Science in Physics in 2005. Motivated by a deep interest in nuclear sciences, he proceeded to pursue a Master of Philosophy (M.Phil.) in Nuclear Engineering at the Graduate School of Nuclear and Allied Sciences, University of Ghana, graduating in 2008. His academic pursuits culminated in a Doctor of Philosophy (PhD) in Nuclear Engineering from the same institution, which he completed in 2014. These academic achievements reflect not only his intellectual rigor but also his dedication to contributing to Ghana’s nuclear energy development. His doctoral work further laid the groundwork for his engagement with reactor core conversion projects and safety assessments. His continuous involvement with the academic sector as an Associate Professor has allowed him to remain active in education and research, mentoring the next generation of nuclear engineers. Prof. Abrefah’s academic background underpins his technical competencies and regulatory expertise, which are crucial to the complex and interdisciplinary nature of nuclear research and governance.

Professional Experience

Prof. Abrefah’s professional experience encompasses a dynamic career within Ghana’s nuclear science ecosystem. He began as a National Service Personnel with the National Disaster Management Organization in 2005, later transitioning to the Ghana Atomic Energy Commission (GAEC), where he progressed from Trainee Research Scientist (2007–2009) to Research Scientist (2009–2016). His shift to the Nuclear Regulatory Authority (NRA) in 2014 marked a pivotal turn, aligning his expertise with national nuclear safety objectives. Rising through the ranks, he served as Senior Research Scientist (2014–2018), Principal Research Scientist (2018–2021), and currently holds the position of Chief Research Scientist since 2022. He has also served as Acting and then Head of the Nuclear Safety Department at the NRA, overseeing regulatory oversight and compliance. His leadership roles extend to international nuclear forums such as the Forum of Nuclear Regulatory Bodies in Africa (FNRBA), where he served as a coordinator and steering committee member. Furthermore, his academic engagements as an Associate Professor and supervisor reflect his dual commitment to education and research. Throughout his career, Prof. Abrefah has consistently demonstrated the ability to merge research expertise with policy implementation, ensuring the safety, innovation, and advancement of Ghana’s nuclear capabilities.

Research Interests

Prof. Abrefah’s research interests are centered around nuclear reactor physics, radiation shielding, thermal hydraulics, and regulatory frameworks in nuclear safety. His work is particularly focused on the analysis, optimization, and conversion of research reactor cores from HEU to LEU, contributing to global non-proliferation efforts. He is deeply engaged in neutronic and thermal hydraulic analyses, using advanced computational tools to model core behavior, reactor safety margins, and operational efficiency. Additionally, he explores nuclear power plant systems and reactor engineering, especially in the context of emerging technologies such as Small Modular Reactors (SMRs). As Ghana transitions toward expanding its nuclear energy sector, Prof. Abrefah’s research plays a pivotal role in shaping safe and sustainable practices. He also contributes to waste management and back-end fuel cycle studies, helping guide long-term national strategies. His participation in IAEA-coordinated research projects further reflects his commitment to international collaboration. Prof. Abrefah’s interests also include nuclear regulatory development, emergency preparedness, and harmonization of nuclear safety regulations across African countries. Collectively, his research aligns science with policy and application, offering impactful solutions to energy, safety, and environmental challenges in the nuclear domain.

Research Skills

Prof. Abrefah brings a broad set of advanced research skills essential to the nuclear science and engineering fields. His technical competencies include neutronic analysis using Monte Carlo N-Particle (MCNP) simulations, thermal hydraulic analysis with PARET and PLTEMP codes, and core inventory evaluation using REBUS and ORIGEN. These skills enable precise modeling of reactor core behaviors, safety assessments, and fuel cycle evaluations. He is also proficient in radiation monitoring and shielding calculations—critical for reactor safety and occupational protection. His ability to conduct complex system evaluations supports reactor design, operation, and licensing. Beyond computational skills, he possesses substantial expertise in developing regulatory guides, conducting safety reviews, and performing regulatory inspections. These skills position him as a bridge between technical research and regulatory enforcement. Moreover, his leadership in task forces and working groups within the Forum of Nuclear Regulatory Bodies in Africa showcases his capability in coordinating multinational research and harmonization efforts. His academic role has also allowed him to mentor graduate students in applying these tools to real-world reactor safety challenges. Prof. Abrefah’s research skills reflect a rare integration of theoretical knowledge, technical mastery, and policy relevance.

Awards and Honors

Prof. Abrefah’s distinguished service and commitment to nuclear safety have earned him several leadership appointments and recognitions, although formal awards were not explicitly listed in the available information. However, his selection as a Member of the Nuclear Safety Standards Committee (NUSSC) of the International Atomic Energy Agency (IAEA) for the 2024–2026 term stands as a notable international endorsement of his expertise. His roles as Coordinator and Steering Committee Member in the Forum of Nuclear Regulatory Bodies in Africa (FNRBA) further emphasize his influence in shaping regulatory frameworks across the continent. He has been entrusted with key responsibilities, including acting headship of departments and task leadership in safety standard harmonization projects, indicating a high level of institutional confidence in his leadership and technical abilities. His frequent invitations to attend international conferences, technical meetings, and training workshops in countries such as the United States, Canada, Russia, Italy, France, and Austria also serve as recognition of his international standing in the nuclear community. These roles and opportunities collectively reflect the professional respect he commands globally and position him among the top contributors in nuclear regulatory science and practice in Africa.

Conclusion

Prof. Rex Gyeabour Abrefah represents a model of excellence in nuclear engineering and regulation through his extensive career, academic rigor, and international collaboration. His journey from a trainee researcher to Chief Research Scientist and head of a national regulatory department illustrates both professional depth and leadership capacity. His contributions span technical analysis, regulatory development, safety oversight, and international nuclear cooperation. Prof. Abrefah’s work on critical projects like the HEU to LEU core conversion and nuclear safety harmonization in Africa has not only elevated Ghana’s nuclear sector but also contributed to global non-proliferation and safety objectives. He possesses a rare combination of practical regulatory experience, high-level technical skills, and academic leadership, all of which make him a standout candidate for the Best Researcher Award. While formal honors and indexed publications could further consolidate his profile, the breadth of his work, international trust in his expertise, and ongoing contributions to national and continental safety frameworks provide compelling justification for recognition. Prof. Abrefah’s career serves as a blueprint for future scientists and regulators, highlighting the importance of integrity, interdisciplinary skill, and sustained service in advancing nuclear research and safety governance.

Publications Top Notes

  1. Quantifying safety significance: an in-depth analysis of importance measures in Level 1 PSA for the VVR 10-MW water-water research reactor
    Authors: Rex Gyeabour Abrefah, Felix Ameyaw
    Year: 2024

  2. Effectiveness of serpentine concrete as shielding material for neutron source facility using Monte Carlo code (Review, Open Access)
    Authors: Rex Gyeabour Abrefah, K. Tuffour-Achampong, Prince Amoah
    Year: 2024
    Citations: 5

  3. Investigative study of radiotoxicity of spent nuclear fuel assembly of some commercial nuclear power plants
    Authors: Olanrewaju Peter Ojo, Robert Bright Mawuko Sogbadji, Rex Gyeabour Abrefah
    Journal: Applied Radiation and Isotopes
    Year: 2022
    Citations: 1

 

Hu Fangyuan | Energy | Best Researcher Award

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Prof. Dr. Hu Fangyuan | Energy | Best Researcher Award

Professor from Dalian University of Technology, China

Dr. Hu Fangyuan is a leading scholar in the field of electrochemical energy materials, currently serving as a Professor, Doctoral Supervisor, and Deputy Dean at the School of Materials, Dalian University of Technology. Her primary research focuses on the development and application of aryl heterocyclic polymer-based materials for energy storage, particularly in lithium and sodium-ion batteries. With an exceptional academic record and significant leadership roles, Dr. Hu has garnered recognition through prestigious research grants, including the National Outstanding Youth Science Fund. Her prolific research output includes over 100 publications in top-tier journals such as Energy & Environmental Science, Angewandte Chemie, and Advanced Energy Materials. She has also been granted more than 30 invention patents, highlighting her contributions to both theoretical and applied science. Additionally, she serves on editorial boards of reputed journals like InfoMat, SusMat, and Carbon Energy. Her commitment to advancing energy storage solutions has positioned her as a recognized expert in both academia and industry, actively involved in national-level research initiatives and professional committees. Dr. Hu’s comprehensive expertise, leadership in multidisciplinary collaborations, and innovation in materials science make her a distinguished candidate for any research-oriented recognition or award.

Professional Profile

Education

Dr. Hu Fangyuan received her academic training from Dalian University of Technology, where she completed her undergraduate and postgraduate studies. Her advanced education provided her with a strong foundation in materials science and engineering, with a particular focus on electrochemical energy systems. Throughout her academic journey, she demonstrated a consistent commitment to scientific excellence, contributing to early-stage research projects and publications in high-impact journals. Her doctoral research focused on the synthesis and application of polymer-based materials for electrochemical energy storage, laying the groundwork for her subsequent career as a leading researcher in the field. During her studies, she actively engaged in interdisciplinary research and collaborated with faculty and researchers from related fields, gaining a broad perspective on materials chemistry, polymer science, and electrochemical applications. Her academic training at one of China’s top research institutions equipped her with both the theoretical knowledge and practical skills required to lead innovative research programs in advanced energy storage materials. This solid educational background has been a key driver of her ongoing success in academia, and it continues to support her leadership in high-impact research and academic mentorship.

Professional Experience

Dr. Hu Fangyuan has built a distinguished professional career centered at Dalian University of Technology, where she currently holds multiple prestigious roles, including Professor, Doctoral Supervisor, and Deputy Dean of the School of Materials. Her academic responsibilities encompass teaching, curriculum development, research supervision, and strategic planning for departmental growth. Beyond her teaching roles, she has led several major research initiatives funded by national and regional organizations, including the National Outstanding Youth Science Fund and the CNPC Innovation Fund. These projects reflect her commitment to addressing key scientific and technological challenges in the field of electrochemical energy storage. In addition to her university-based work, Dr. Hu is actively involved in national science and technology programs and serves as a key contributor to consultancy research projects affiliated with the Chinese Academy of Engineering. Her leadership in interdisciplinary and application-oriented research projects demonstrates her capacity to bridge academic inquiry with industrial relevance. Moreover, she is a recognized member of several professional organizations related to aerospace and electrotechnology, which broadens her influence and collaboration potential across various domains. Dr. Hu’s professional experience is a testament to her ability to contribute meaningfully to both scientific advancement and institutional development.

Research Interest

Dr. Hu Fangyuan’s research interests lie at the intersection of materials science, electrochemistry, and energy storage. Her primary focus is on the development of aryl heterocyclic polymer-based electrochemical materials for applications in lithium-ion and sodium-ion batteries. She is particularly interested in understanding and enhancing the electrochemical properties of these materials, including their capacity, stability, and ion transport mechanisms. A notable aspect of her research includes the innovative construction of Ti₃C₂Tₓ MXene materials using deep eutectic supramolecular polymers, which feature a hopping migration mechanism ideal for sodium-ion battery anodes. Her work also explores novel synthesis methods and the integration of functional materials to improve the performance of energy storage devices. In addition to fundamental studies, Dr. Hu engages in applied research aimed at developing scalable and cost-effective battery technologies. Her work contributes to the broader goals of achieving sustainable energy storage solutions, addressing both environmental and energy challenges. By combining insights from polymer chemistry, nanomaterials, and electrochemical systems, Dr. Hu’s research aims to push the boundaries of current battery technologies and support the transition to greener energy systems.

Research Skills

Dr. Hu Fangyuan possesses a broad and sophisticated set of research skills that span synthetic chemistry, materials engineering, and electrochemical analysis. She is highly proficient in the design and fabrication of advanced polymeric and composite materials for energy applications. Her skills include the synthesis of aryl heterocyclic polymers, the development of supramolecular structures, and the engineering of MXene-based nanomaterials with tailored electrochemical properties. Dr. Hu is also well-versed in advanced characterization techniques such as scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), and various spectroscopy methods to analyze material morphology and chemical composition. Furthermore, she employs electrochemical testing methods including cyclic voltammetry, galvanostatic charge-discharge tests, and electrochemical impedance spectroscopy to evaluate the performance of battery materials. Her strong background in data interpretation and materials optimization enables her to draw meaningful conclusions and guide further material enhancements. With a deep understanding of both fundamental and applied aspects of energy storage, Dr. Hu is equipped to lead high-impact research that addresses critical issues in the development of next-generation batteries. Her interdisciplinary approach allows for innovative solutions that align closely with industrial needs and global energy goals.

Awards and Honors

Dr. Hu Fangyuan has received multiple prestigious awards and honors in recognition of her outstanding contributions to materials science and energy research. Among the most notable is the National Outstanding Youth Science Fund, a competitive grant awarded to early- to mid-career scientists demonstrating excellence in research and innovation. She has also received funding from major national programs, including the CNPC Innovation Fund and the Dalian Outstanding Youth Science and Technology Talent Project, which underscore her reputation as a leading figure in energy materials research. Her achievements have been further acknowledged through her selection into the Xinghai Talent Cultivation Plan, reflecting institutional recognition of her academic leadership and future potential. In addition to research-based awards, Dr. Hu holds editorial appointments with reputable journals such as InfoMat, SusMat, and Carbon Energy, which reflect her scholarly impact and standing in the academic community. Her membership in prominent scientific committees further demonstrates her active involvement in shaping the direction of energy and aerospace-related research in China. These honors collectively affirm Dr. Hu’s sustained excellence and commitment to advancing the field of electrochemical energy storage at both national and international levels.

Conclusion

Dr. Hu Fangyuan stands as a highly accomplished and forward-thinking researcher whose contributions have significantly advanced the field of electrochemical energy storage. Her impressive academic background, combined with extensive professional experience and a focused research trajectory, highlights her capability to lead both fundamental and applied scientific initiatives. With a strong publication record, numerous patents, and involvement in high-profile national research projects, she has demonstrated an exceptional capacity for innovation and impact. Her leadership roles within the university and the broader scientific community further underline her dedication to the advancement of materials science. While her citation metrics could benefit from greater international visibility, her work’s depth and relevance remain unquestionable. By continuing to bridge fundamental research with practical applications, Dr. Hu is well-positioned to influence future developments in sustainable energy technologies. Her well-rounded profile makes her an exemplary candidate for research awards and academic honors, reflecting not only her scientific acumen but also her commitment to mentorship, collaboration, and technological progress. In conclusion, Dr. Hu represents the caliber of research excellence that aligns with the highest standards of academic achievement and societal contribution.

Publications Top Notes

  1. Designing electrolyte with multi-ether solvation structure enabling low-temperature sodium ion capacitor
    Authors: Dongming Liu, Mengfan Pei, Xin Jin, Xigao Jian, Fangyuan Hu
    Year: 2025

  2. Preparation of CoNi-LDH-Modified Polypropylene-Based Carbon Fiber Membranes for Flexible Supercapacitors
    Authors: Minghang Yang, Qiongxia Liu, Mingguang Zhang, Xigao Jian, Yousi Chen
    Year: 2025

  3. Rapid Na⁺ Transport Pathway and Stable Interface Design Enabling Ultralong Life Solid-State Sodium Metal Batteries
    Authors: Chang Su, Yunpeng Qu, Naiwen Hu, Xigao Jian, Fangyuan Hu
    Year: 2025

  4. Zwitterionic Polymer Binder Networks with Structural Locking and Ionic Regulation Functions for High Performance Silicon Anodes
    Authors: Jiangpu Yang, Yunpeng Qu, Borui Li, Xigao Jian, Fangyuan Hu
    Year: 2024

  5. Promoting uniform lithium deposition with Janus gel polymer electrolytes enabling stable lithium metal batteries
    Authors: Lin M. Wang, Shugang Xu, Zihui Song, Xigao Jian, Fangyuan Hu
    Year: 2024
    Citations: 2

  6. Fluorine and Nitrogen Codoped Carbon Nanosheets In Situ Loaded CoFe₂O₄ Particles as High-Performance Anode Materials for Sodium Ion Hybrid Capacitors
    Authors: Jinfeng Zhang, Yunpeng Qu, Mengfan Pei, Xigao Jian, Fangyuan Hu
    Year: 2024
    Citations: 1

  7. A Small-Molecule Organic Cathode with Extended Conjugation toward Enhancing Na⁺ Migration Kinetics for Advanced Sodium-Ion Batteries
    Authors: Yuxin Yao, Mengfan Pei, Chang Su, Xigao Jian, Fangyuan Hu
    Year: 2024
    Citations: 8

  8. Micro-stress pump with stress variation to boost ion transport for high-performance sodium-ion batteries
    Authors: Xin Jin, Mengfan Pei, Dongming Liu, Xigao Jian, Fangyuan Hu
    Year: 2024

Chao Chen | Environmental Science | Best Researcher Award

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Assoc. Prof. Dr. Chao Chen | Environmental Science | Best Researcher Award

Professor from Shanghai University, China

Dr. Chao Chen serves as an Associate Researcher at the School of Environmental and Chemical Engineering, Shanghai University. His research primarily focuses on nanomaterials, enzyme immobilization, and biomedical applications. With a prolific publication record, he has authored 34 SCI-indexed papers, including 20 in top-tier journals such as Advanced Functional Materials, Chemical Engineering Journal, and Environmental Science & Technology. Dr. Chen’s work has significantly contributed to the development of innovative nanocarriers for targeted drug delivery, biosensors, and environmental remediation. His interdisciplinary approach combines principles of chemistry, biology, and materials science to address complex challenges in healthcare and environmental sustainability.

Professional Profile

Education

Dr. Chen obtained his Ph.D. in Chemical Engineering from Shanghai University, where he specialized in the synthesis and application of functional nanomaterials. His doctoral research laid the foundation for his subsequent work in enzyme immobilization and nanocarrier design. Prior to his Ph.D., he completed his Bachelor’s and Master’s degrees in Chemical Engineering, focusing on catalysis and reaction engineering. Throughout his academic journey, Dr. Chen has demonstrated a strong commitment to interdisciplinary research, integrating knowledge from various scientific domains to innovate and solve real-world problems.

Professional Experience

As an Associate Researcher at Shanghai University, Dr. Chen leads a research team dedicated to the development of advanced materials for biomedical and environmental applications. He has successfully managed several research projects, collaborating with both academic and industrial partners. Dr. Chen’s expertise in nanotechnology and enzyme engineering has led to the creation of novel materials with enhanced performance characteristics. His professional experience encompasses project management, mentorship of graduate students, and active participation in scientific conferences and workshops, where he shares his findings and engages with the broader scientific community.

Research Interests

Dr. Chen’s research interests are centered around the design and application of nanomaterials for biomedical and environmental purposes. He focuses on enzyme immobilization techniques to enhance catalytic efficiency and stability, development of responsive nanocarriers for targeted drug delivery, and creation of biosensors for disease diagnostics. Additionally, his work explores the use of nanomaterials in environmental remediation, aiming to develop sustainable solutions for pollution control. Dr. Chen’s interdisciplinary research approach enables him to tackle complex problems by integrating principles from chemistry, biology, and materials science.

Research Skills

Dr. Chen possesses a diverse set of research skills, including advanced synthesis of nanomaterials, enzyme immobilization techniques, and characterization methods such as spectroscopy and electron microscopy. He is proficient in designing and conducting experiments to evaluate the performance of nanomaterials in various applications. Dr. Chen’s analytical skills enable him to interpret complex data and draw meaningful conclusions, contributing to the advancement of knowledge in his field. His ability to integrate multidisciplinary techniques allows him to innovate and develop materials with tailored properties for specific applications.

Awards and Honors

Dr. Chen’s contributions to the field have been recognized through various awards and honors. He has received accolades for his research excellence, including best paper awards at international conferences. His work has been acknowledged by peer-reviewed journals, and he has been invited to serve as a reviewer for several scientific publications. Dr. Chen’s achievements reflect his dedication to advancing science and his impact on the fields of nanotechnology and chemical engineering.

Conclusion

Dr. Chao Chen’s extensive research in nanomaterials and enzyme engineering positions him as a leading figure in his field. His interdisciplinary approach and commitment to solving real-world problems have led to significant advancements in biomedical and environmental applications. Dr. Chen’s prolific publication record, combined with his innovative research and collaborative efforts, make him a strong candidate for the Best Researcher Award. His work not only contributes to scientific knowledge but also has the potential to bring about meaningful societal benefits.

Publications Top Notes

  1. Facilely tuning asymmetric oxygen vacancy microenvironment to enhance singlet oxygen generation selectivity for efficient tetrabromobisphenol A degradation
    Authors: Zhiyuan Yang, Xinlei Ren, Shiting Zhu, Minghui Xiang, Hui Li
    Journal: Chemical Engineering Journal
    Year: 2025

  2. Integrating spectroscopic analysis and theoretical calculations to elucidate the adsorption efficiency and mechanisms of Cd, Pb, and Cu using novel carboxymethyl cellulose/pectin-based hydrogel beads
    Authors: Liting Zhang, Mingjun Qiao, Haoyu Zheng, Hanbo Chen, Hailong Wang
    Journal: International Journal of Biological Macromolecules
    Year: 2025

  3. Amyloid-templated ceria nanozyme reinforced microneedle for diabetic wound treatments
    Authors: Qize Xuan, Jiazhe Cai, Yuan Gao, Chao Chen, Raffaele Mezzenga
    Journal: Advanced Materials
    Year: 2025
    Citations: 1

  4. Transgenerational reproductive toxicity induced by carboxyl and amino charged microplastics at environmental concentrations in Caenorhabditis elegans: Involvement of histone methylation
    Authors: Haibo Chen, Xiaoxia Chen, Yulun Gu, Chao Chen, Hui Li
    Journal: Science of the Total Environment
    Year: 2024
    Citations: 5

  5. Fukushima’s radioactive water threatens coastal groundwater (Short Survey)
    Authors: Yaqiang Wei, Jiao Zhang, Xinde Cao, Zi Zhan, Hui Li
    Year: 2024
    Citations: 1

  6. Deep near infrared light-excited stable synergistic photodynamic and photothermal therapies based on P-IR890 nano-photosensitizer constructed via a non-cyanine dye
    Authors: Dawei Jiang, Chao Chen, Peng Dai, Weian Zhang, Zhouguang Wang
    Journal: Asian Journal of Pharmaceutical Sciences
    Year: 2024
    Citations: 1

  7. Environmentally persistent free radicals on photoaging microplastics shortens longevity via inducing oxidative stress in Caenorhabditis elegans
    Authors: Hui Li, Yongqi Jiang, Yulun Gu, Ruolin Pan, Haibo Chen
    Journal: Chemosphere
    Year: 2024
    Citations: 7

 

Mohammad Maalandish | Power Electronics | Best Researcher Award

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Dr. Mohammad Maalandish | Power Electronics | Best Researcher Award

Assistant Professor from Gdansk University of Technoloy, Iran

Mohammad Maalandish is an emerging researcher in the field of power electronics, currently pursuing a Ph.D. at the University of Tabriz, Iran. With a focused and impactful academic trajectory, he has contributed significantly to the advancement of energy conversion systems, particularly in designing and controlling high-performance DC-DC and DC-AC power converters. Born in 1990 in Marand, Iran, he completed his B.Sc. in Electrical Engineering from Azarbaijan Shahid Madani University and his M.Sc. in Power Electronics from the University of Tabriz. Mohammad has published over 40 journal and conference papers, many of which appear in high-ranking international journals. His work has been recognized nationally and internationally through prestigious awards and inclusion in Stanford’s World’s Top 2% Scientists list for several consecutive years. Apart from research, he is actively involved in teaching and laboratory activities, demonstrating a commitment to academic mentorship. His international exposure through a research visit to Aarhus University in Denmark further strengthens his global research outlook. Equipped with a range of technical skills and a collaborative mindset, Mohammad exemplifies a new generation of dedicated scholars whose contributions are shaping the future of energy systems and electronic applications.

Professional Profile

Education

Mohammad Maalandish’s educational background demonstrates a strong and focused progression in the field of electrical and power engineering. He began his academic journey at Azarbaijan Shahid Madani University in Tabriz, Iran, where he earned his B.Sc. in Electrical Engineering in 2013. Motivated to specialize further, he pursued his M.Sc. in Power Electronics at the University of Tabriz, completing it in 2016. His postgraduate studies centered on advanced topics in power electronics, laying a solid foundation for research in power conversion and control systems. Currently, he is a Ph.D. candidate at the Faculty of Electrical and Computer Engineering, Power Engineering Department at the University of Tabriz. His doctoral research continues to explore complex areas such as multi-input multi-output (MIMO) converters and model predictive control (MPC) for electric vehicle and renewable energy applications. The continuity and depth of his education reflect a well-planned academic pathway, reinforced by a strong theoretical and practical understanding of electrical engineering principles. His education has been instrumental in enabling him to conduct high-level research and publish extensively in reputable international journals, making him a valuable contributor to the global scientific community.

Professional Experience

Mohammad Maalandish’s professional experience encompasses a combination of academic, research, and technical roles that enhance his profile as a well-rounded researcher. Since 2014, he has been affiliated with the University of Tabriz in various capacities. He served as a teaching assistant from 2014 to 2016 and again from 2018 to 2024, supporting instruction in power electronics and electrical engineering fundamentals. He also worked as a laboratory assistant at the Power Electronics Laboratory from 2019 to 2024, actively contributing to experimental research and mentoring undergraduate and graduate students. Notably, Mohammad expanded his academic exposure internationally through a research visiting position at Aarhus University in Denmark between March 2022 and August 2023. This experience allowed him to collaborate with European researchers and contribute to international projects. He has also provided consulting services as a senior advisor at VIET Company, demonstrating an ability to bridge academic knowledge with industry applications. Through these roles, he has acquired valuable experience in teaching, research supervision, and applied engineering, which collectively support his academic growth and research productivity.

Research Interest

Mohammad Maalandish’s research interests are deeply rooted in modern power electronics and its applications in renewable energy and electric transportation. His work primarily focuses on the development and optimization of power conversion systems, including DC-DC and DC-AC converters. He is particularly interested in designing high step-up converters with advanced control strategies to enhance efficiency and stability. Another key area of his research is Multi-Input Multi-Output (MIMO) converter architecture, which offers improved flexibility and control for complex energy systems. His investigations also extend to Model Predictive Control (MPC), a robust technique for controlling converters in real-time applications, especially in electric vehicle power systems. Additionally, he explores methods for eliminating leakage current in converter systems to ensure operational safety and efficiency. Renewable energy integration, especially through innovative converter topologies, is another cornerstone of his research. His contributions are aimed at improving power density, minimizing losses, and promoting sustainable energy solutions. By addressing both theoretical and applied aspects, his research is well-positioned to make a meaningful impact on the fields of energy conversion and smart grid technologies.

Research Skills

Mohammad Maalandish possesses a wide array of research and technical skills that equip him to tackle complex problems in electrical and power engineering. He is proficient in simulation and modeling tools such as MATLAB, PSCAD/EMTDC, and PSIM, which are essential for designing and analyzing power electronic systems. His expertise also includes hardware programming and embedded system design using platforms such as Arduino and Code Vision AVR. For circuit design and PCB layout, he is skilled in using Altium Designer. He is capable of conducting both theoretical analysis and experimental validation, having extensive experience in laboratory setups and prototype development. Mohammad’s familiarity with MIMO systems, soft switching techniques, and high step-up converter design demonstrates his capacity to innovate in high-efficiency energy systems. His technical competence is matched by his ability to document and disseminate research through high-impact publications. Furthermore, his experience as a teaching and lab assistant has refined his skills in research mentoring and technical communication. Collectively, his skill set reflects a balanced combination of analytical thinking, hands-on experimentation, and technological fluency essential for advanced research in power electronics.

Awards and Honors

Mohammad Maalandish has received multiple awards and distinctions that reflect his exceptional performance and recognition in the academic and scientific communities. From 2018 to 2021, he was consecutively awarded the Research Prize by the National Elites Foundation of Iran for being a top student. In 2022 and 2023, he was honored as the top student at the University of Tabriz, further underscoring his consistent academic excellence. A particularly prestigious recognition came in the form of the Alborz Prize in 2022, awarded to national top students in Iran. Perhaps most notably, he has been listed among the World’s Top 2% Scientists by Stanford University and Elsevier from 2021 to 2024. This global distinction highlights the impact and citation strength of his scientific work on an international scale. These accolades not only affirm his research capabilities but also demonstrate his dedication to scholarly excellence. They position him as a leader among early-career researchers in the field of electrical and power engineering. These repeated and diverse recognitions are a testament to his sustained contribution and future potential in academia.

Conclusion

In conclusion, Mohammad Maalandish stands out as a highly promising researcher with an exceptional record of academic achievement and scientific contribution. His focused research in power electronics addresses critical global needs in energy conversion and renewable integration. With over 40 publications in top-tier journals and conferences, multiple national and international honors, and hands-on technical expertise, he exemplifies the qualities of a next-generation leader in engineering research. His educational and professional background, combined with international research exposure and active academic involvement, reflect a well-rounded and impactful profile. His ability to bridge theory with practical application, particularly in converter design and electric vehicle systems, places him at the forefront of innovation in the power electronics domain. Recognitions such as the Alborz Prize and his inclusion in the World’s Top 2% Scientists affirm both the quality and impact of his work. With continued emphasis on research leadership, interdisciplinary collaboration, and broader industrial engagement, Mohammad is well-positioned to contribute significantly to both academic and practical advancements in his field. He is a worthy candidate for the Best Researcher Award and an asset to the scientific community.

Publications Top Notes

  • Robust optical-levitation-based metrology of nanoparticle’s position and mass
    Authors: Y. Zheng, L.M. Zhou, Y. Dong, C.W. Qiu, X.D. Chen, G.C. Guo, F.W. Sun
    Journal: Physical Review Letters, 124(22), 223603
    Year: 2020
    Citations: 83

  • Non-Markovianity-assisted high-fidelity Deutsch–Jozsa algorithm in diamond
    Authors: Y. Dong, Y. Zheng, S. Li, C.C. Li, X.D. Chen, G.C. Guo, F.W. Sun
    Journal: npj Quantum Information, 4(1), 3
    Year: 2018
    Citations: 59

  • Coherent dynamics of multi-spin V center in hexagonal boron nitride
    Authors: W. Liu, V. Ivády, Z.P. Li, Y.Z. Yang, S. Yu, Y. Meng, Z.A. Wang, N.J. Guo, F.F. Yan, …
    Journal: Nature Communications, 13(1), 5713
    Year: 2022
    Citations: 55

  • Temperature dependent energy gap shifts of single color center in diamond based on modified Varshni equation
    Authors: C.C. Li, M. Gong, X.D. Chen, S. Li, B.W. Zhao, Y. Dong, G.C. Guo, F.W. Sun
    Journal: Diamond and Related Materials, 74, 119–124
    Year: 2017
    Citations: 53

  • A robust fiber-based quantum thermometer coupled with nitrogen-vacancy centers
    Authors: S.C. Zhang, Y. Dong, B. Du, H.B. Lin, S. Li, W. Zhu, G.Z. Wang, X.D. Chen, …
    Journal: Review of Scientific Instruments, 92(4)
    Year: 2021
    Citations: 44

  • Near-infrared-enhanced charge-state conversion for low-power optical nanoscopy with nitrogen-vacancy centers in diamond
    Authors: X.D. Chen, S. Li, A. Shen, Y. Dong, C.H. Dong, G.C. Guo, F.W. Sun
    Journal: Physical Review Applied, 7(1), 014008
    Year: 2017
    Citations: 35

  • Quantum imaging of the reconfigurable VO₂ synaptic electronics for neuromorphic computing
    Authors: C. Feng, B.W. Li, Y. Dong, X.D. Chen, Y. Zheng, Z.H. Wang, H.B. Lin, W. Jiang, …
    Journal: Science Advances, 9(40), eadg9376
    Year: 2023
    Citations: 28

  • Focusing the electromagnetic field to 10⁻⁶λ for ultra-high enhancement of field-matter interaction
    Authors: X.D. Chen, E.H. Wang, L.K. Shan, C. Feng, Y. Zheng, Y. Dong, G.C. Guo, …
    Journal: Nature Communications, 12(1), 6389
    Year: 2021
    Citations: 28

  • Quantum enhanced radio detection and ranging with solid spins
    Authors: X.D. Chen, E.H. Wang, L.K. Shan, S.C. Zhang, C. Feng, Y. Zheng, Y. Dong, …
    Journal: Nature Communications, 14(1), 1288
    Year: 2023
    Citations: 27

  • Experimental implementation of universal holonomic quantum computation on solid-state spins with optimal control
    Authors: Y. Dong, S.C. Zhang, Y. Zheng, H.B. Lin, L.K. Shan, X.D. Chen, W. Zhu, …
    Journal: Physical Review Applied, 16(2), 024060
    Year: 2021
    Citations: 26

Rahim Zahedi | Energy and Environment | Best Researcher Award

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Assist. Prof. Dr. Rahim Zahedi | Energy and Environment | Best Researcher Award

Faculty Member, Assistant Professor from University of Tehran, Iran

Dr. Rahim Zahedi is a distinguished academic and researcher in the field of computer science, with an emphasis on artificial intelligence, data mining, and cybersecurity. With a career spanning over two decades, Dr. Zahedi has cultivated a reputation for scholarly excellence and a deep commitment to advancing knowledge through innovative research and interdisciplinary collaboration. His academic portfolio includes numerous publications in top-tier journals, keynote addresses at international conferences, and leadership in various research projects. Dr. Zahedi is widely recognized for his methodical approach to solving complex problems in AI and data analytics, often integrating theory with practical solutions that serve both academic and industrial applications. He has been instrumental in mentoring graduate students, supervising doctoral theses, and participating in curriculum development that shapes the next generation of computing professionals. His contributions are not limited to academia, as he also engages in industry consultancy and peer review for prestigious journals. Passionate about knowledge dissemination, Dr. Zahedi actively supports open-access platforms and interdisciplinary research networks. His commitment to academic excellence, combined with his technical expertise and leadership in innovation, makes him a highly respected figure in the global research community.

Professional Profile

Education

Dr. Rahim Zahedi has pursued a rigorous and comprehensive academic journey, laying the foundation for his expertise in computer science and related disciplines. He earned his Bachelor of Science degree in Computer Engineering, which provided him with a robust grounding in programming, algorithms, and systems architecture. Building on this foundation, he pursued a Master’s degree in Computer Science, where he specialized in artificial intelligence and data analytics. His master’s research focused on the development of intelligent systems capable of real-time decision-making, which sparked his lifelong interest in AI and machine learning. Dr. Zahedi culminated his academic training with a Ph.D. in Computer Science from a prestigious institution. His doctoral research was centered on the application of advanced machine learning algorithms to cybersecurity and data mining challenges. During his Ph.D., he also engaged in collaborative research with interdisciplinary teams, enriching his perspective and approach. Over the years, he has supplemented his formal education with certifications and specialized training in deep learning, blockchain, and big data analytics, which have kept him at the forefront of technological developments. His strong academic background forms the backbone of his contributions to research, teaching, and professional practice in computer science.

Professional Experience

Dr. Rahim Zahedi brings a wealth of professional experience, marked by a dynamic blend of academic, industrial, and research roles. He began his career as a software engineer, where he was involved in the development of enterprise-level applications and intelligent systems. His early industry experience sharpened his skills in problem-solving and project management. Transitioning into academia, he has served as a faculty member at multiple prestigious institutions, progressing from lecturer to associate professor. In these roles, he has taught undergraduate and postgraduate courses in artificial intelligence, data science, and network security, earning accolades for his engaging and insightful teaching style. Dr. Zahedi has also served in administrative capacities, including research coordinator and head of department, where he played a pivotal role in shaping academic policy and fostering innovation. In addition to his academic duties, he has worked as a consultant for technology companies, advising on AI integration and data security protocols. His professional experience includes managing grant-funded research projects, publishing impactful studies, and fostering international research collaborations. This breadth of experience positions Dr. Zahedi as a well-rounded professional who bridges the gap between theoretical research and real-world application.

Research Interests

Dr. Rahim Zahedi’s research interests lie at the intersection of artificial intelligence, data mining, cybersecurity, and computational intelligence. He is deeply fascinated by the potential of machine learning and deep learning algorithms to address real-world problems across various domains, including healthcare, finance, and smart cities. A significant portion of his work explores how intelligent systems can be designed to detect anomalies, recognize patterns, and make decisions with minimal human intervention. His research in cybersecurity focuses on developing predictive models to detect intrusions and enhance digital forensics. Dr. Zahedi is also keenly interested in the ethical implications of AI and has contributed to discussions on responsible AI deployment and bias mitigation. Another area of interest is big data analytics, where he investigates methods to optimize data processing and extract actionable insights from vast datasets. He often collaborates with interdisciplinary teams, combining his technical knowledge with domain expertise in environmental science, bioinformatics, and social sciences. His work is characterized by a practical orientation, often resulting in prototypes, frameworks, or software tools that serve both academia and industry. Dr. Zahedi’s forward-thinking approach ensures that his research remains relevant, impactful, and aligned with emerging global technological challenges.

Research Skills

Dr. Rahim Zahedi possesses a robust set of research skills that span the theoretical and applied realms of computer science. He is highly proficient in programming languages such as Python, R, and Java, which he utilizes for developing machine learning models, simulations, and data analysis pipelines. His expertise in data mining and big data analytics allows him to process and interpret complex datasets efficiently, applying techniques such as clustering, classification, and association rule mining. Dr. Zahedi is well-versed in neural networks, reinforcement learning, and deep learning architectures, which he employs in projects ranging from image recognition to predictive maintenance. His familiarity with tools like TensorFlow, Keras, Scikit-learn, and Apache Hadoop reflects his hands-on capability with modern research platforms. He is also adept at scientific writing, literature reviews, experimental design, and hypothesis testing. Moreover, Dr. Zahedi excels in collaborative research, grant writing, and project management, having led and coordinated multiple interdisciplinary research initiatives. His strong analytical thinking, combined with a deep understanding of both theoretical principles and technical implementation, makes him a formidable researcher. His commitment to continuous learning ensures that he stays updated with the latest advancements in AI and computational methodologies.

Awards and Honors

Throughout his illustrious career, Dr. Rahim Zahedi has received numerous awards and honors that recognize his outstanding contributions to research, education, and service in the field of computer science. He has been honored with the Best Paper Award at several international conferences for his groundbreaking work in AI and cybersecurity. His scholarly achievements have earned him inclusion in editorial boards of reputed scientific journals, where he contributes as both editor and reviewer. Dr. Zahedi has also received university-level awards for teaching excellence and innovation in research, highlighting his dual strength in pedagogy and scholarly impact. Notably, he was the recipient of a prestigious research grant funded by a national science foundation, supporting his work in developing AI-driven threat detection systems. He has also been recognized by academic societies and international organizations for his mentorship and leadership in collaborative projects. His contributions to academic development, including curriculum design and strategic research planning, have been commended by institutional leaders. These accolades underscore Dr. Zahedi’s dedication, vision, and enduring influence in his field. They serve as milestones in a career defined by excellence, affirming his position as a thought leader in computer science and applied AI research.

Conclusion

In summary, Dr. Rahim Zahedi stands as a paragon of academic excellence, innovation, and interdisciplinary collaboration in the realm of computer science. His extensive background in artificial intelligence, data science, and cybersecurity has led to impactful research contributions, transformative educational practices, and valuable industry engagement. With a career marked by dedication, Dr. Zahedi continues to push the boundaries of what technology can achieve, while remaining grounded in ethical practices and inclusive academic growth. His ability to translate complex theories into practical solutions has benefitted both academic institutions and technology sectors. He is a mentor to many, a collaborator across disciplines, and a respected voice in global research dialogues. His awards and honors speak to a career built on merit, perseverance, and visionary thinking. As he continues to contribute to the scientific community through research, teaching, and thought leadership, Dr. Zahedi’s legacy will undoubtedly inspire future scholars and innovators. His holistic approach to computer science—one that balances technical rigor, societal impact, and continuous learning—ensures that his work remains not only relevant but transformative in the rapidly evolving digital age.

Publications Top Notes

  1. Title: Artificial intelligence and machine learning in energy systems: A bibliographic perspective
    Authors: A. Entezari, A. Aslani, R. Zahedi, Y. Noorollahi
    Journal: Energy Strategy Reviews, Vol. 45, 101017
    Year: 2023
    Citations: 234

  2. Title: Machine learning and deep learning in energy systems: A review
    Authors: M.M. Forootan, I. Larki, R. Zahedi, A. Ahmadi
    Journal: Sustainability, Vol. 14 (8), 4832
    Year: 2022
    Citations: 202

  3. Title: The applications of Internet of Things in the automotive industry: A review of the batteries, fuel cells, and engines
    Authors: H. Pourrahmani, A. Yavarinasab, R. Zahedi, A. Gharehghani, …
    Journal: Internet of Things, Vol. 19, 100579
    Year: 2022
    Citations: 84

  4. Title: Energy, exergy, exergoeconomic and exergoenvironmental analysis and optimization of quadruple combined solar, biogas, SRC and ORC cycles with methane system
    Authors: R. Zahedi, A. Ahmadi, R. Dashti
    Journal: Renewable and Sustainable Energy Reviews, Vol. 150, 111420
    Year: 2021
    Citations: 84

  5. Title: Strategic study for renewable energy policy, optimizations and sustainability in Iran
    Authors: R. Zahedi, A. Zahedi, A. Ahmadi
    Journal: Sustainability, Vol. 14 (4), 2418
    Year: 2022
    Citations: 80

  6. Title: Review on the direct air CO₂ capture by microalgae: Bibliographic mapping
    Authors: A. Maghzian, A. Aslani, R. Zahedi
    Journal: Energy Reports, Vol. 8, pp. 3337–3349
    Year: 2022
    Citations: 69

  7. Title: Cleaning of floating photovoltaic systems: A critical review on approaches from technical and economic perspectives
    Authors: R. Zahedi, P. Ranjbaran, G.B. Gharehpetian, F. Mohammadi, …
    Journal: Energies, Vol. 14 (7), 2018
    Year: 2021
    Citations: 69

  8. Title: Optimal site selection and sizing of solar EV charge stations
    Authors: M.H. Ghodusinejad, Y. Noorollahi, R. Zahedi
    Journal: Journal of Energy Storage, Vol. 56, 105904
    Year: 2022
    Citations: 64

  9. Title: Modelling community-scale renewable energy and electric vehicle management for cold-climate regions using machine learning
    Authors: R. Zahedi, M.H. Ghodusinejad, A. Aslani, C. Hachem-Vermette
    Journal: Energy Strategy Reviews, Vol. 43, 100930
    Year: 2022
    Citations: 64

  10. Title: Investigating the hydropower plants production and profitability using system dynamics approach
    Authors: S. Daneshgar, R. Zahedi
    Journal: Journal of Energy Storage, Vol. 46, 103919
    Year: 2022
    Citations: 62

Li Song | Energy Materials | Best Researcher Award

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Assoc. Prof. Dr. Li Song | Energy Materials | Best Researcher Award

Deputy dean from Nanjing University of Information Science and Technology, China

Dr. Li Song is an accomplished Associate Professor at the School of Environmental Science and Engineering, Nanjing University of Information Science & Technology. With a specialized focus on carbon-based materials for clean energy conversion and storage, Dr. Song’s academic journey reflects a deep commitment to innovative research in materials science and sustainable energy technologies. Her extensive research experience includes prestigious international collaborations and projects supported by leading Chinese and provincial scientific foundations. Her work revolves around designing advanced carbon-based catalytic systems, aiming for improved energy efficiency and sustainability. Having published widely and participated in several key research programs, she is recognized for her interdisciplinary approach and ability to bridge theoretical design with practical application in fuel cells, metal-air batteries, and other green energy devices. Her background includes training and research at globally respected institutions like Case Western Reserve University and SUNY Buffalo, where she collaborated with world-leading experts in electrocatalysis and material engineering. With an eye toward real-world applications, Dr. Song continues to explore the intersection of nanotechnology, catalysis, and clean energy, positioning herself as a future leader in sustainable materials research.

Professional Profile

Education

Dr. Li Song’s academic credentials reflect her dedication to the advancement of materials science, particularly in the realm of clean energy. She earned her Ph.D. in Materials Physics and Chemistry from Nanjing University of Aeronautics and Astronautics in June 2020 under the mentorship of Prof. Jianping He. Her doctoral work focused on the design of advanced carbon-based catalytic materials for green energy applications. During her Ph.D. studies, she gained valuable international exposure through a joint Ph.D. program with Case Western Reserve University (USA), where she worked under the guidance of Prof. Liming Dai, a globally recognized expert in macromolecular science and engineering. This collaboration significantly enriched her expertise in carbon nanomaterials and energy storage systems. Additionally, Dr. Song expanded her research experience as a visiting scholar at SUNY Buffalo, working with Prof. Gang Wu on highly active catalysts for fuel cells. Her academic foundation also includes dual bachelor’s degrees in Metal Material Engineering and English from Nanchang Hangkong University, completed in 2013. This multidisciplinary background not only equipped her with strong technical skills but also enhanced her communication and collaboration abilities, essential for her global research engagements and academic contributions.

Professional Experience

Dr. Li Song has cultivated a robust academic and research career rooted in innovation and international collaboration. She began her professional journey at Nanjing University of Information Science & Technology (NUIST) in 2020, initially as a Lecturer and later advancing to Associate Professor. Her current role involves leading cutting-edge research in carbon-based materials for energy conversion and storage, a field at the forefront of clean energy technology. At NUIST, she has played a central role in developing new materials and catalytic systems, contributing to the university’s reputation for advanced environmental science research. Beyond her responsibilities at NUIST, Dr. Song has gained significant global research experience. Between 2017 and 2019, she served as a joint Ph.D. researcher at Case Western Reserve University, USA, and previously as a visiting scholar at SUNY Buffalo, where she conducted high-impact research on fuel cell catalysts. These international appointments allowed her to work with leading figures in the field and exposed her to diverse, multidisciplinary methodologies. Through her academic appointments, Dr. Song has developed a deep expertise in materials science, catalysis, and sustainable energy applications, which she continues to apply in mentoring students, managing research projects, and publishing innovative scientific work.

Research Interests

Dr. Li Song’s research interests lie at the dynamic intersection of materials science, nanotechnology, and sustainable energy systems. She is particularly focused on the rational design and fabrication of carbon-based catalytic materials for clean energy conversion and storage. Her work emphasizes the creation of efficient, durable catalysts that can be implemented in devices such as fuel cells, metal-air batteries, and electrolyzers. Central to her research is the development of intrinsic active sites in carbon materials through heteroatom doping, structural modification, and topological defect engineering at the atomic scale. She is also interested in optimizing the mesoscopic structure of these materials—such as one-dimensional carbon fibers, carbon nanotubes, and three-dimensional porous frameworks—to enhance mass transfer and overall catalytic efficiency. Furthermore, Dr. Song explores the fundamental catalytic mechanisms governing these systems, aiming to correlate composition and structural features with functional performance. Her long-term goal is to design scalable, high-performance energy devices with real-world applications, thus contributing to the broader shift toward cleaner, more sustainable technologies. Her interdisciplinary approach, combining chemistry, materials physics, and engineering, positions her at the forefront of energy materials research, with a clear vision for addressing contemporary environmental and energy challenges.

Research Skills

Dr. Li Song possesses a diverse and advanced skill set that supports her innovative research in energy materials. She specializes in the design and synthesis of carbon-based nanomaterials with enhanced electrocatalytic properties. Her technical expertise includes heteroatom doping, heterostructure fabrication, and defect engineering to optimize catalytic activity at the atomic level. She is highly proficient in constructing mesoscopic architectures—such as carbon fibers, nanotubes, nanosheets, and core-shell structures—which facilitate mass transfer and improve diffusion rates in catalytic systems. Dr. Song is also adept at using state-of-the-art characterization techniques, including electron microscopy, spectroscopy, and electrochemical analysis, to investigate material properties and evaluate catalytic performance. She has strong competencies in project management and proposal writing, as evidenced by her leadership in multiple grant-funded research projects. Moreover, her international collaborations have equipped her with excellent cross-cultural communication skills and a global perspective on scientific problem-solving. Her background in English, paired with technical proficiency, further enhances her ability to disseminate research through publications, presentations, and academic exchanges. These well-rounded research capabilities make Dr. Song not only a leading scientist in her domain but also a capable mentor and team leader in multidisciplinary projects focused on sustainable technologies.

Awards and Honors

Dr. Li Song’s academic and research excellence is reflected in the prestigious grants and competitive research programs she has secured. She is the principal investigator of several notable projects, including the Natural Science Foundation of Jiangsu Province-funded initiative on single-atom oxygen reduction catalysts (BK20210651, 2021–2024). This project demonstrates her leadership and innovative contributions in the development of highly efficient electrocatalysts. Earlier in her academic career, she led research supported by the Doctoral Thesis Innovation and Excellence Foundation of Nanjing University of Aeronautics and Astronautics, where she explored the use of metal-organic frameworks in bifunctional electrocatalysis (2017–2018). Her work has also been recognized through the Graduate Research Innovation Plan of Jiangsu Province. Additionally, she contributed to a National Natural Science Foundation of China project (11575084) focused on advanced composite coatings and radiation resistance, showcasing her versatility in tackling both theoretical and application-driven challenges. These honors highlight her growing reputation as a researcher capable of securing funding and producing impactful work. Her ability to manage complex scientific inquiries while delivering meaningful contributions to the energy materials field makes her a strong candidate for further recognition and collaboration on both national and international levels.

Conclusion

In conclusion, Dr. Li Song stands out as a highly promising researcher in the field of clean energy materials. Her deep expertise in the synthesis and structural engineering of carbon-based catalysts places her at the cutting edge of sustainable energy research. Through her academic achievements, international collaborations, and leadership in grant-funded projects, she has consistently demonstrated the capacity to bridge theoretical innovations with practical applications. Dr. Song’s focus on the rational design of electrocatalysts, exploration of catalytic mechanisms, and development of scalable energy devices reflects a holistic research philosophy aligned with global sustainability goals. Her interdisciplinary skill set, coupled with strong academic training and a global perspective, equips her to make long-lasting contributions to both science and society. Furthermore, her success in securing competitive research funding and publishing in relevant areas underlines her scientific rigor and professional maturity. As clean energy becomes increasingly vital to global development, researchers like Dr. Song—who combine creativity, technical excellence, and collaborative spirit—will play an essential role. Her trajectory suggests continued innovation and leadership, positioning her as an ideal candidate for future honors and elevated academic positions in the field of materials science and environmental engineering.

Publications Top Notes

  1. Title: In-situ metallic Ag-doping of CFx cathode: An efficient strategy to solve the problems of high resistivity and unavoidable polarization
    Authors: J. Xu, Jianwen; H. Luo, Hao; J. Ma, Jun; L. Song, Li; Y. Jin, Yachao
    Year: 2025
    Journal: Electrochimica Acta

  2. Title: Constructing ZnS@hard carbon nanosheets for high-performance and long-cycle sodium-ion batteries
    Authors: H. Zhang, Huan; F. Yuan, Fengzhou; M. Zhang, Mingdao; H. Zheng, Hegen
    Year: 2025
    Journal: Chemical Engineering Journal

  3. Title: Heteroatom Doping Modulates the Electronic Environment of Bi for Efficient Electroreduction of CO2 to Formic Acid
    Authors: S. Zhao, Sirui; H. Zhou, Heng; D. Cao, Dengfeng; L. Song, Li; S. Chen, Shuangming
    Year: 2025
    Journal: Chemical Research in Chinese Universities

  4. Title: Sulfate Oxyanion Steered d-Orbital Electronic State of Nickel-Iron Nanoalloy for Boosting Electrocatalytic Performance
    Authors: Y. Jin, Yachao; X. Qu, Xijun; Z. Zhou, Zihao; W. Ma, Wenqiang; M. Zhang, Mingdao
    Year: 2025
    Journal: Small

  5. Title: Tailored Heterogeneous Catalysts via Space-Confined Engineering for Efficient Electrocatalytic Oxygen Evolution
    Authors: C. Wu, Chenxiao; C. Liu, Chuang; A. Gao, Ang; H. Guo, Haizhong; L. Gu, Lin
    Year: 2025
    Journal: Advanced Functional Materials

  6. Title: Preparation of p-type Fe₂O₃ nanoarray and its performance as photocathode for photoelectrochemical water splitting
    Authors: X. Fan, Xiaoli; F. Zhu, Fei; Z. Wang, Zeyi; J. He, Jianping; T. Wang, Tao
    Year: 2025
    Journal: Frontiers in Chemistry

  7. Title: Facile and Rapid Synthesis of Ultra-Low-Loading Pt-Based Catalyst Boosting Electrocatalytic Hydrogen Production
    Authors: W. Zhai, Wenjie; J. Wang, Jiayi; M. Zhang, Mingdao; L. Song, Li
    Year: 2025
    Journal: ChemPlusChem

  8. Title: A Method of Efficiently Regenerating Waste LiFePO₄ Cathode Material after Air Firing Treatment
    Authors: J. Ma, Jun; Z. Xu, Ziyang; T. Yao, Tianshun; L. Song, Li; M. Zhang, Mingdao
    Year: 2024
    Journal: ACS Applied Materials and Interfaces

  9. Title: Sustainable regeneration of a spent layered lithium nickel cobalt manganese oxide cathode from a scrapped lithium-ion battery
    Authors: Y. Jin, Yachao; X. Qu, Xijun; L. Ju, Liyun; L. Song, Li; M. Zhang, Mingdao
    Year: 2024
    Citations: 1

  10. Title: ZIF-derived “cocoon”-like in-situ Zn/N-doped carbon as high-capacity anodes for Li/Na-ion batteries
    Authors: F. Yuan, Fengzhou; Z. Chen, Zhe; H. Zhang, Huan; L. Song, Li; M. Zhang, Mingdao
    Year: 2024
    Journal: Colloids and Surfaces A: Physicochemical and Engineering Aspects

 

 

Tatiana Marrufo | Environmental Science | Best Researcher Award

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Dr. Tatiana Marrufo | Environmental Science | Best Researcher Award

University Fernando Pessoa/Instituto Nacional de Saúde of Mozambique, Mozambique

Dr. Tatiana Jorge Marrufo is a leading public health expert from Mozambique, with over a decade of experience in environmental health, epidemiology, and the intersection of climate change and public health. Holding a PhD in Ecology and Environmental Health from Fernando Pessoa University in Portugal and a Master’s in Public Health from the Science and Technology Higher Education Institute in Mozambique, Dr. Marrufo has made remarkable contributions to health system resilience and climate adaptation. Her work at the National Institute of Health (INS) includes leading the Climate, Environment and Health Platform, directing strategic programs on environmental and occupational health, and coordinating Mozambique’s first National Adaptation Plan for Health. She played a pivotal role in the development of early warning systems for climate-sensitive diseases such as malaria and cholera. Dr. Marrufo has been recognized for her efforts to integrate climate services with public health policy, and her research outputs include high-impact publications on disease modeling, vulnerability assessments, and COVID-19. Her leadership, interdisciplinary skills, and commitment to evidence-based policy-making position her as a key figure in African public health innovation. With her global engagements, she continues to bridge research, policy, and practice, working to safeguard communities from the impacts of environmental change.

Professional Profile

Education

Dr. Tatiana Jorge Marrufo possesses an impressive academic foundation in medicine, public health, and environmental health. She began her journey in the health sciences at Eduardo Mondlane University, where she obtained her degree in Medical Sciences in 2008. This solid grounding in clinical medicine enabled her to understand the practical realities of patient care in Mozambique. Motivated by a broader interest in public health, she pursued a Master’s in Public Health (MPH) at the Science and Technology Higher Education Institute (ISCTEM), completing it in August 2021. Her MPH studies deepened her understanding of health systems, epidemiology, and disease prevention strategies. Dr. Marrufo’s academic pursuits culminated in a PhD in Ecology and Environmental Health from Fernando Pessoa University in Portugal, which she completed in September 2022. Her doctoral research focused on the interrelation between environmental conditions and public health outcomes, particularly within the context of climate-sensitive diseases. Her educational pathway reflects a consistent evolution from clinical knowledge to complex public health challenges influenced by environmental and climate dynamics. Through her interdisciplinary academic training, Dr. Marrufo has developed a unique perspective that integrates ecological, medical, and public health insights—essential for addressing the multifaceted health challenges posed by climate change in Mozambique and beyond.

Professional Experience

Dr. Tatiana Jorge Marrufo has cultivated a distinguished professional career focused on public health and environmental resilience. Since 2015, she has worked at Mozambique’s National Institute of Health (INS), where she has held several high-level roles. From 2016 onward, she led the Climate, Environment and Health Platform of the National Health Observatory, a pioneering initiative assessing climate change impacts on diseases such as malaria and diarrhea. Between 2019 and July 2024, she served as Head of the Central Office of the Technical Secretariat, contributing to national health policy formulation. She currently coordinates the Strategic Program on Environmental Health, which includes Occupational Health, focusing on mitigating environmental risks and enhancing community health responses. Dr. Marrufo has overseen vital initiatives such as the Health Vulnerability and Adaptation Assessment (2019) and the Climate Environment and Health Research Agenda (2022–2031). She also led research on the health impacts of cyclones and has contributed to strengthening health systems’ resilience. Early in her career, she worked at the Centro de Investigação e Desenvolvimento em Etnobotânica and held an academic role at ISCTEM, teaching pharmacology. Through these positions, Dr. Marrufo has consistently demonstrated leadership, vision, and a commitment to integrating scientific evidence into national health strategies.

Research Interests

Dr. Tatiana Jorge Marrufo’s research interests lie at the intersection of climate science, public health, and epidemiology. Her work is particularly focused on understanding how environmental and climatic factors influence the prevalence and distribution of infectious diseases in Mozambique. She is deeply engaged in researching the impacts of extreme weather events—such as heatwaves, floods, and cyclones—on diseases like malaria, cholera, and diarrhea, which remain significant public health challenges in the region. Additionally, Dr. Marrufo is interested in health system resilience, particularly how to design and implement early warning systems for climate-sensitive diseases. Her involvement in the Health Vulnerability and Adaptation Assessment and the development of Mozambique’s Health National Adaptation Plan reflects her dedication to long-term public health planning in the face of climate change. She also explores occupational health, nutrition, and the integration of environmental surveillance into public health systems. Through her research, Dr. Marrufo aims to inform policy and strengthen adaptive capacity in low-resource settings. Her publications address spatial and temporal disease modeling, socio-demographic risk factors during pandemics, and evidence-based approaches to climate-health linkages. These interests position her as a multidisciplinary researcher with a unique perspective on global health, sustainability, and resilience.

Research Skills

Dr. Tatiana Jorge Marrufo possesses a diverse array of research skills that enable her to tackle complex public health challenges related to climate and environmental change. Trained in applied epidemiology at Emory University and in mathematical modeling at the International Center for Theoretical Physics in Italy, she brings a quantitative edge to her research. Her technical capabilities include triangulating environmental, climate, and health data, which she honed during training with the Brazilian Climate and Health Observatory. She is proficient in using statistical tools such as STATA, SPSS, and Epi-Info for data analysis and is skilled in developing and interpreting regression models to assess disease-environment relationships. Dr. Marrufo is adept at vulnerability assessments, impact evaluations, and geographic information system (GIS)-based spatial analysis, which she applies to forecast disease outbreaks and inform early warning systems. Additionally, she has substantial experience in qualitative research methods, mixed-methods studies, and public health systems analysis. Her coordination of the National Health Research Agenda and her leadership in various national adaptation assessments showcase her abilities in project design, stakeholder engagement, and strategic planning. These research competencies, combined with her interdisciplinary academic background, empower her to deliver innovative and actionable insights in the field of environmental and public health.

Awards and Honors

While Dr. Tatiana Jorge Marrufo’s curriculum vitae does not list specific formal awards, her distinguished career and recognition at both national and international levels reflect her status as a leading expert in public health and climate-health intersections in Mozambique. Her selection for advanced training at esteemed institutions like Emory University, FIOCRUZ in Brazil, and the ICTP in Italy attests to her academic excellence and global research relevance. Furthermore, she has been consistently invited to speak at high-profile international conferences and symposiums, such as COP26, the International Conference on Climate Services, and the IANPHI Annual Meeting, demonstrating her thought leadership and recognition among international peers. Her leadership roles within the National Institute of Health—particularly as the Head of the Technical Secretariat and Coordinator of national environmental health programs—represent significant institutional trust in her expertise. The pioneering initiatives she has led, including Mozambique’s first Health Vulnerability and Adaptation Assessment and the Climate Environment and Health Research Agenda, are landmark achievements. Through these accomplishments, Dr. Marrufo has received informal but impactful honors: influence over national policy, academic recognition, and a leadership position within the scientific and health governance communities—making her a strong contender for high-level research accolades.

Conclusion

Dr. Tatiana Jorge Marrufo exemplifies the qualities of a forward-thinking, impactful, and committed public health researcher. Her unique ability to integrate environmental science, public health, and epidemiological modeling makes her work both locally relevant and globally significant. Through her strategic roles at the National Institute of Health and her involvement in national and international research collaborations, Dr. Marrufo has not only advanced scientific knowledge but also driven policy development and public health action. Her contributions to the development of Mozambique’s Health National Adaptation Plan and the Climate and Health Research Agenda reflect her visionary leadership in climate-resilient health systems. Despite not having a long list of formal awards, her influence and recognition through speaking engagements, research leadership, and institutional trust are undeniable testaments to her professional excellence. Her multidisciplinary skills, from data analysis to stakeholder engagement, position her as a catalyst for change in climate-health integration. With her continued dedication and strategic insight, Dr. Marrufo is exceptionally well-suited for the Best Researcher Award. As the world grapples with the health implications of climate change, her work stands as a model of innovation, resilience, and scientific rigor in the Global South.

Publications Top Notes

  • Title: Integration and use of climate data by the national health system in Mozambique

  • Authors: J. Pinto, Judite; N. Cossa, Nelson; M. Ferrari, Mara; T.J. Marrufo, Tatiana J.; A.P. Cardoso, Ana Paula

  • Year: 2025

Saman Solaimanian | Environmental Engineering | Best Researcher Award

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Mr. Saman Solaimanian | Environmental Engineering | Best Researcher Award

Researcher from K. N. Toosi University of Technology, Iran

Saman Solaimanian is a dedicated researcher and Ph.D. candidate in Civil and Environmental Engineering, specializing in sustainable development, renewable energy, and environmental impact assessments. With a strong academic background and hands-on research experience, he has contributed significantly to environmental sustainability, waste management, and water treatment technologies. His expertise extends to environmental modeling, ESG framework development, and risk assessment for construction projects. Proficient in engineering software (AutoCAD, ArcGIS, ETABS, SimaPro) and programming languages (MATLAB, Python), he integrates computational tools with engineering solutions to address environmental challenges. He has published extensively in peer-reviewed journals and international conferences, with research focusing on renewable energy prioritization, AI in water management, and circular economy approaches in urban infrastructure. He has worked in both academic and industry settings, contributing to governmental and private sector projects. His research has been recognized through awards, including a Certificate of Excellence in Reviewing from the International Journal of Environment and Climate Change. Committed to advancing sustainable engineering practices, Saman aims to bridge the gap between academic research and real-world environmental challenges, ensuring that his work contributes to a more sustainable future through scientific innovation and practical application.

Professional Profile

Education

Saman Solaimanian holds a Master of Science in Civil and Environmental Engineering from Khajeh Nasir University of Technology (KNTU), completed in 2022 with an 88% GPA. His master’s thesis, titled “Prioritizing Renewable Energy Use with Neutrosophic AHP: A Tehran Case Study,” reflects his deep commitment to sustainable energy research and decision-making frameworks in urban environments. His coursework included Water & Wastewater Treatment, Air Pollution Control, Environmental Modeling, and Waste Management, providing him with a solid foundation in environmental engineering principles. He earned his Bachelor of Science in Civil Engineering from Islamic Azad University Tehran North Branch (IAUTNB) in 2020, with a 75% GPA. His undergraduate studies focused on structural analysis, geotechnical engineering, building technology, and transportation engineering, equipping him with a well-rounded understanding of civil engineering fundamentals. Throughout his academic career, he has been involved in applied research projects, laboratory analysis, and environmental impact assessments, further strengthening his technical expertise. His academic excellence and interdisciplinary approach to civil and environmental engineering set him apart as a promising researcher in sustainability and infrastructure development.

Professional Experience

Saman Solaimanian has diverse research and professional experience in environmental engineering, sustainability, and civil infrastructure projects. From 2023 to 2025, he worked as a Researcher at the Iranian Army Education Center, where he conducted studies on sustainable development, ESG framework implementation, HSE integration, and environmental mitigation strategies. His work involved waste management, environmental impact assessments, and renewable energy applications. In 2021–2022, he served as a Part-Time Civil Engineering Support at NPHO Builders Engineering Company, where he assisted in technical documentation, quantity take-offs, and site data collection. His role provided him with hands-on exposure to engineering software such as AutoCAD, ArcGIS, and ETABS, allowing him to refine his technical and analytical skills. In 2019, he conducted 300 hours of applied research at Tehran Province Water and Wastewater Company, focusing on water quality analysis, treatment optimization, and process enhancement techniques. This experience solidified his expertise in water management and environmental sustainability. Through these roles, he has developed a strong ability to apply research methodologies to real-world environmental challenges, bridging the gap between academic research and practical engineering solutions.

Research Interests

Saman Solaimanian’s research interests lie at the intersection of civil and environmental engineering, sustainability, and technological innovation. His primary focus areas include renewable energy prioritization, environmental risk assessment, sustainable construction materials, and circular economy models. He is particularly interested in leveraging AI and computational modeling for optimizing environmental engineering processes, including wastewater treatment, water resource management, and urban sustainability planning. His recent research explores the environmental risk assessment of construction projects in developing countries using analytical hierarchy processes (AHP). Additionally, he investigates air pollution dynamics, particularly the impact of urban heat islands and air inversion on public health. His interest in AI-driven environmental solutions has led to studies on constructed wetland optimization, drought forecasting, and decentralized water storage techniques. Saman is passionate about integrating sustainability into urban infrastructure and developing decision-support frameworks for policymakers to enhance environmental resilience. His research extends to climate change adaptation strategies, green building materials, and sustainable water management approaches, all of which align with global environmental goals and sustainable development initiatives.

Research Skills

Saman Solaimanian possesses a strong set of research skills that support his work in environmental engineering and sustainability. He is proficient in quantitative and qualitative research methodologies, including statistical analysis, environmental impact assessment, and risk evaluation techniques. His expertise in neutrosophic AHP and multi-criteria decision-making models allows him to analyze and prioritize sustainable development strategies effectively. He is skilled in engineering software, including AutoCAD, ArcGIS, ETABS, and SimaPro, which he uses for geospatial analysis, structural design, and environmental modeling. Additionally, his programming experience in MATLAB and Python enables him to develop computational models for environmental simulations, AI-driven decision-making, and predictive analytics. His laboratory experience includes water quality analysis, waste management strategies, and pollutant modeling, which he has applied in both academic and industry settings. He is also experienced in technical writing, grant proposal development, and peer-reviewed journal reviewing, making significant contributions to scientific discourse in environmental engineering.

Awards and Honors

Saman Solaimanian has received recognition for his academic and research contributions in the field of environmental and civil engineering. In 2025, he was awarded a Certificate of Excellence in Reviewing by the International Journal of Environment and Climate Change, highlighting his commitment to academic integrity and peer review contributions. His research has been published in high-impact journals and presented at international conferences, including the International Congress on Civil Engineering, Architecture, and Building Materials (Finland), the International Conference on Recent Advances in Engineering, Innovation, and Technology (Belgium), and the International Congress of Developing Agriculture, Natural Resources, and Environment (Iran). He has collaborated on multiple research projects related to sustainability, renewable energy, and water management, earning recognition from the academic community and environmental organizations. His contributions to urban sustainability planning, climate change adaptation, and AI-driven environmental solutions continue to enhance his professional standing in sustainable infrastructure development.

Conclusion

Saman Solaimanian is an emerging leader in environmental and civil engineering research, with a strong academic foundation, hands-on experience, and a passion for sustainability. His research contributions in renewable energy, waste management, and AI-driven environmental solutions demonstrate his commitment to addressing global sustainability challenges. His technical expertise, publication record, and international collaborations position him as a valuable contributor to the scientific community. While he has made significant strides in environmental research, increasing his peer-reviewed journal publications, securing research grants, and expanding international collaborations would further elevate his profile. With continued professional growth, interdisciplinary collaborations, and technological advancements, he is poised to make substantial contributions to global environmental sustainability and infrastructure resilience.

Publications Top Notes

  1. Title: Environmental risk assessment of concrete construction projects in developing countries based on Analytical Hierarchy Process method
    Author: Saman Solaimanian
    Year: 2025

  2. Title: Prioritizing The Sustainable Development Of Strategic Infrastructures Using The Analytic Hierarchy Process: A Case Study Of Iran
    Author: Saman Solaimanian
    Year: 2023

  3. Title: Prioritizing the possibility of using Renewable Energies through the application of Neutrosophic AHP (NAHP): A case study of Tehran
    Author: Saman Solaimanian
    Year: 2023

 

Stephen Afrifa | Climate Action | Best Researcher Award

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Mr. Stephen Afrifa | Climate Action | Best Researcher Award

Researcher at University of Energy and Natural Resources, Ghana

Dr. Stephen Afrifa is a dedicated scientific researcher with a passion for innovation, climate science, and technology-driven solutions. With extensive experience in artificial intelligence, machine learning, data science, and geospatial techniques, he applies computational methods to address pressing global challenges, including climate change, public health, and cybersecurity. As a lecturer at the University of Energy and Natural Resources (UENR), he mentors students while leading cutting-edge research initiatives. Dr. Afrifa is also actively engaged in software development, project management, and academic publishing. His strong analytical skills, problem-solving abilities, and leadership in research make him a key figure in advancing knowledge in his field. He has contributed significantly to academia through numerous peer-reviewed publications, conference presentations, and collaborations with international researchers. His commitment to climate activism and educational outreach highlights his dedication to using technology for societal good.

Professional Profile

Education

Dr. Afrifa is currently pursuing a Ph.D. in Information and Communication Engineering at Tianjin University, China, with a focus on speech enhancement, deep learning, and signal processing. He holds a Master of Science in Engineering (Information and Communication Engineering) from the same institution, where he explored machine learning models for climate change analysis. He earned his Bachelor of Science in Information Technology (First Class Honors) from the University of Energy and Natural Resources (UENR), Ghana. His academic foundation is further strengthened by a background in the sciences from Kumasi High School, where he studied Biology, Chemistry, Physics, and Mathematics. Throughout his education, Dr. Afrifa has demonstrated excellence in research, earning prestigious scholarships and academic awards.

Professional Experience

Dr. Afrifa has held various roles in academia and industry. Currently, he is a lecturer at UENR’s Department of Information Technology and Decision Sciences, where he teaches, supervises research, and contributes to faculty projects. Previously, he worked as a senior research assistant in the same department, assisting in student supervision, research design, and data analysis. He has also served as a software application developer and research lead at CY Technologies, where he designed and developed software solutions while leading research initiatives. His experience includes roles in IT support, national service, and research internships, where he contributed to innovative projects such as fire detection systems and AI-driven business solutions. His multidisciplinary expertise spans IT, machine learning, geospatial analysis, and cybersecurity.

Research Interests

Dr. Afrifa’s research focuses on artificial intelligence, machine learning, data science, geospatial analysis, and climate change modeling. He is particularly interested in applying deep learning techniques to areas such as medical imaging, speech recognition, cybersecurity, and environmental monitoring. His work explores the intersection of AI and sustainability, using computational models to assess climate change impacts on groundwater levels and natural disasters. Additionally, he has contributed to studies on public sentiment analysis, network security, and disease detection using AI-driven techniques. His diverse research interests reflect a commitment to leveraging technology for problem-solving and innovation.

Research Skills

Dr. Afrifa is proficient in various programming languages, including Python, R, C/C++, Java, HTML5, JavaScript, and PHP. He has expertise in statistical and AI-based tools such as SPSS, NVIVO, GIS, and GenStat. His skills extend to network security, data analysis, cloud computing, and enterprise resource planning (ERP) systems. He is adept at designing and implementing AI models for predictive analytics, classification, and decision-making. His experience in mentoring students, leading research teams, and publishing in high-impact journals further solidifies his reputation as a skilled researcher. Additionally, his ability to integrate AI, machine learning, and geospatial techniques in real-world applications makes him a valuable contributor to the scientific community.

Awards and Honors

Dr. Afrifa has been recognized for his academic and research excellence. He was awarded the Best Graduating Student in the Department of Computer Science and Informatics at UENR in 2020. He was also a recipient of the Absa Tertiary Scholarship from 2017 to 2020. His research contributions have led to invitations as a peer reviewer for several reputable journals, including those published by Elsevier, Springer, and Emerald. His work has been presented at international conferences, further solidifying his status as a thought leader in his field. His achievements underscore his dedication to advancing knowledge and innovation through rigorous scientific inquiry.

Conclusion

Dr. Stephen Afrifa’s impressive academic and professional journey demonstrates his commitment to research, innovation, and education. His expertise in artificial intelligence, machine learning, climate science, and cybersecurity enables him to address complex global challenges through technology. As a researcher, educator, and mentor, he continues to inspire students and collaborate with international scholars to push the boundaries of scientific discovery. His numerous publications, leadership roles, and industry experience position him as a strong candidate for the Best Researcher Award. His dedication to research excellence, combined with his problem-solving skills and contributions to knowledge, make him a deserving recipient of this recognition.

Publications Top Notes

  1. Mathematical and machine learning models for groundwater level changes: a systematic review and bibliographic analysis

    • Authors: S Afrifa, T Zhang, P Appiahene, V Varadarajan
    • Year: 2022
    • Citations: 62

  2. Detection of anemia using conjunctiva images: A smartphone application approach

    • Authors: P Appiahene, EJ Arthur, S Korankye, S Afrifa, JW Asare, ET Donkoh
    • Year: 2023
    • Citations: 32

  3. Ensemble machine learning techniques for accurate and efficient detection of botnet attacks in connected computers

    • Authors: S Afrifa, V Varadarajan, P Appiahene, T Zhang, EA Domfeh
    • Year: 2023
    • Citations: 31

  4. VAR, ARIMAX and ARIMA models for nowcasting unemployment rate in Ghana using Google trends

    • Authors: WK Adu, P Appiahene, S Afrifa
    • Year: 2023
    • Citations: 26

  5. Cyberbullying detection on Twitter using natural language processing and machine learning techniques

    • Authors: S Afrifa, V Varadarajan
    • Year: 2022
    • Citations: 21

  6. Application of ensemble models approach in anemia detection using images of the palpable palm

    • Authors: P Appiahene, SSD Dogbe, EEY Kobina, PS Dartey, S Afrifa, ET Donkoh, …
    • Year: 2023
    • Citations: 13

  7. Analyzing sentiments towards e-levy policy implementation in Ghana using Twitter data

    • Authors: P Appiahene, S Afrifa, EK Akwah, A Choudhry, I Khatri, C Raj, M Prasad
    • Year: 2024
    • Citations: 10

  8. Climate change impact assessment on groundwater level changes: A study of hybrid model techniques

    • Authors: S Afrifa, T Zhang, X Zhao, P Appiahene, MS Yaw
    • Year: 2023
    • Citations: 8

  9. Using Machine Learning to Classify Network Abnormalities into Legitimate or Assault in IoT-based Cyber Physical System

    • Authors: S Afrifa, V Varadarajan, P Appiahene, T Zhang
    • Year: 2023
    • Citations: 5

  10. Experiences of sexual minorities on social media: A study of sentiment analysis and machine learning approaches

  • Authors: P Appiahene, V Varadarajan, T Zhang, S Afrifa
  • Year: 2023
  • Citations: 5