Majid Dashti Barmaki | Engineering | Best Researcher Award

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Mr. Majid Dashti Barmaki | Engineering | Best Researcher Award

Water Resource Expert from Kharazmi University of Tehran, Iran

Majid Dashti Barmaki is a distinguished Iranian hydrogeologist with over 15 years of combined academic, industrial, and research experience. he has consistently contributed to the understanding and development of groundwater systems, karst hydrogeology, water quality assessment, and geospatial modeling. With advanced degrees in geology and hydrogeology from prestigious Iranian institutions such as Shiraz University and Kharazmi University, Dr. Barmaki has developed a rich body of work encompassing both theoretical insight and practical application. His scholarly output includes over 20 peer-reviewed international and national articles in journals from Springer, Taylor & Francis, Elsevier, Wiley, and the Geological Society of London. His work bridges geology, environmental science, and engineering, highlighting an interdisciplinary approach. He has also provided expert consultancy in water resources projects such as tunnel hydrogeology, aquifer balance, and land subsidence analysis. Through workshops, university lectures, and research mentoring, he has shaped many young professionals in Earth sciences. Dr. Barmaki’s continuous efforts to improve groundwater sustainability in arid regions, coupled with his active role in environmental planning, position him as a significant contributor to the hydrogeological field. His expertise is currently sought globally as he seeks opportunities to further his impact in academic and industrial research worldwide.

Professional Profile

Education

Majid Dashti Barmaki has an extensive academic background in Earth Sciences, with a focused specialization in hydrogeology. He earned his Bachelor’s degree in Geology from Shiraz University in 2006, where he laid the foundational knowledge of Earth systems. He pursued his Master of Science degree at Kharazmi University (formerly Tarbiat Moallem University) in Tehran from 2007 to 2010, focusing on Hydrogeology. His MSc thesis applied GIS and remote sensing techniques to assess karst groundwater potential in anticline structures, reflecting his early interest in integrating geospatial tools with hydrogeological modeling. Continuing at Kharazmi University, he obtained his Ph.D. in Karst Hydrogeology from 2011 to 2019. His doctoral research examined karst development factors affecting the Asmari Formation in the Zagros Mountains, one of Iran’s critical aquifer systems. His education is not only academically sound but also application-oriented, as demonstrated by his emphasis on GIS, statistical analysis, and environmental assessment in groundwater sciences. This strong academic trajectory, enriched with practical thesis topics, has prepared him for high-level consultancy, teaching, and research roles in both national and international hydrogeology-focused projects.

Professional Experience

Dr. Majid Dashti Barmaki brings over 15 years of diverse professional experience as a hydrogeologist, academic, and consultant. His career spans collaborations with leading Iranian consulting engineering companies such as Fannavaran Tarh-e-Jamea, Sahel Consulting Engineers, Dezab, Rayab, and others, where he specialized in water resource assessments for tunnel projects, land subsidence studies, and environmental monitoring. Notably, he served as a key hydrogeology expert for major tunnel excavation projects, evaluating groundwater inflow, hydrological impacts, and tunnel pressure loads. From 2012 to 2025, he also worked in national-level research and implementation projects related to groundwater sustainability, illegal well monitoring, and surface water drainage systems. His academic involvement includes teaching several university courses such as surveying, statistics for geology, map reading, and soil geography. He has also conducted workshops on GIS applications at Kharazmi University. His long-standing fieldwork expertise is evident in the detailed hydrogeological profiles he has generated and the policy-relevant environmental assessments he has contributed to. His leadership in multi-year projects showcases his capability to manage complex hydrological systems and deliver data-driven solutions. Through his multifaceted experience, Dr. Barmaki has effectively bridged academic theory with engineering practice in Iran’s most critical water management initiatives.

Research Interest

Dr. Majid Dashti Barmaki’s research interests lie at the intersection of groundwater hydrogeology, karst systems, environmental geochemistry, and spatial modeling. A central theme of his work is the assessment and management of karst aquifers, particularly within the Zagros region, one of Iran’s most hydrogeologically significant landscapes. He is deeply invested in understanding how geological structures influence groundwater flow and the vulnerability of aquifers to pollution and overexploitation. His research extends to groundwater quality evaluation using health risk assessments, pollution indices, and fuzzy logic systems. He has also explored fractal geometry and geostatistical kriging methods to identify groundwater potential zones. Another significant domain of his research includes the integration of remote sensing and GIS techniques with hydrogeological mapping to model water resources and assess land subsidence risks. His academic output reflects a multidisciplinary approach, combining environmental science, engineering, and computer-based modeling. His more recent studies have addressed environmental impacts from mining and tunneling operations, with a focus on sustainable water resource planning. Overall, Dr. Barmaki’s research aims to create actionable insights that support water security, climate resilience, and ecological sustainability in arid and semi-arid regions.

Research Skills

Dr. Majid Dashti Barmaki possesses a comprehensive set of research skills that span hydrogeology, environmental assessment, GIS-based analysis, and statistical modeling. His expertise includes groundwater flow modeling, aquifer characterization, and water quality analysis using advanced techniques such as fuzzy inference systems, fractal analysis, and risk indexing. He is proficient in using hydrogeological software like PhreeQC, Aq-Qa, Aquachem, RockWare, Aquifer Test, and GMS, which are essential for conducting water chemistry evaluations and aquifer simulations. His geospatial analysis skills are advanced, with capabilities in ArcGIS, ENVI, ILWIS, Global Mapper, and SASPlanet. He has employed multi-criteria decision-making models such as AHP and fuzzy logic to evaluate groundwater vulnerability and land subsidence. He is also experienced in laboratory hydrogeochemistry, data visualization, and the development of hydrogeological cross-sections. Beyond technical tools, he is adept at conducting fieldwork, designing surveys, managing databases, and preparing high-quality research reports and environmental assessments. His ability to combine statistical tools like SPSS with field-based insights allows for holistic environmental and geological interpretations. These diverse research competencies have enabled him to contribute to multi-institutional projects and publish in leading international journals in the geosciences and environmental engineering fields.

Awards and Honors

While Dr. Majid Dashti Barmaki’s professional profile does not list formal awards, his distinguished achievements and contributions reflect recognition through impactful roles and scholarly publications. His articles have appeared in prestigious journals such as Arabian Journal of Geosciences, Geocarto International, Water and Environment Journal, and Quarterly Journal of Engineering Geology and Hydrogeology, showcasing international peer-reviewed validation of his research. His invited participation in multiple national geological conferences in Iran—such as the Geological Society of Iran’s annual meetings—demonstrates academic endorsement and thought leadership. He has also led and contributed to high-stakes national and industrial projects under the Iranian Ministry of Energy and regional water authorities. These responsibilities entrusted to him reflect implicit recognition of his expertise in hydrogeology and environmental planning. Additionally, his teaching roles, workshops, and project supervision illustrate institutional trust in his academic capabilities. Although he may not have been conferred with traditional awards or honors, his consistent involvement in nationally significant water resource studies and publication in high-impact journals affirms his status as a respected researcher and professional in the field of hydrogeology.

Conclusion

Dr. Majid Dashti Barmaki stands out as a highly competent and impactful researcher in the field of hydrogeology. His academic journey—from undergraduate geology to a Ph.D. in karst hydrogeology—has been marked by a strong commitment to applied science, innovation, and sustainable groundwater management. With over a decade of professional engagement in both academic and industry environments, he has consistently addressed key water resource challenges in Iran. His research, which integrates field studies, GIS tools, statistical models, and advanced hydrogeological software, is practical, data-driven, and environmentally conscious. His publication record in leading journals and active participation in major national water and environmental projects reflect a deep expertise and a collaborative spirit. He has also contributed to knowledge transfer through teaching, workshops, and mentoring, proving himself as an educator and thought leader. As global water security becomes an increasing concern, professionals like Dr. Barmaki—who combine technical depth with societal relevance—are essential. His readiness to engage in international collaborations and continue his impactful work on a global scale makes him a deserving candidate for any recognition or opportunity aimed at honoring excellence in hydrogeological research and sustainable development.

Publications Top Notes

  1. Hydrogeochemical characteristics of cold and warm (hot) springs in the Mahallat geothermal region, Iran
    Authors: Majid Dashti Barmaki, Davar Ebrahimi, Zahra Yazdani Noori
    Journal: Quarterly Journal of Engineering Geology and Hydrogeology
    Year: 2025

  2. Land subsidence susceptibility mapping using Analytical Hierarchy Process (AHP) and Certain Factor (CF) models at Neyshabur plain, Iran
    Authors: Rezaei M., Yazdani Noori Z., Dashti Barmaki M.
    Journal: Geocarto International
    Year: 2020

  3. Use of fractal dimensions analysis in geographic information system and remote-sensing techniques to identify groundwater prospective zones in the Anar-Dashtegol anticline, Iran
    Authors: M. Dashti Barmaki, M. Rezaei, S. Madadi
    Journal: Carbonates and Evaporites
    Year: 2020

  4. Water chemistry and water quality pollution indices of heavy metals: a case study of Chahnimeh Water Reservoirs, Southeast of Iran
    Authors not fully listed
    Journal: International Journal of Energy and Water Resources
    Year: 2020

  5. Comparison of surface and interior karst development in Zagros Karst Aquifers, Southwest Iran
    Authors: Majid Dashti Barmaki
    Journal: Journal of Cave and Karst Studies
    Year: 2019

  6. Qanat, a technique appropriate for extracting water from hard rock terrains: the case study of Bilvar district, Kurdistan, Iran
    Author: Majid Dashti Barmaki
    Journal: International Journal of Hydrology Science and Technology
    Year: 2017

  7. Extracting of prospective groundwater potential zones using remote sensing data, GIS, and a probabilistic approach in Bojnourd basin, NE of Iran
    Authors: Majid Dashti Barmaki
    Journal: Arabian Journal of Geosciences
    Year: 2017

  8. Recognition of karst hydrology and water resources interaction in Kazerun Karstic Zones, South of Iran
    Authors: Majid Dashti Barmaki
    Journal: Arabian Journal of Geosciences
    Year: 2016

  9. Groundwater contamination analysis using Fuzzy Water Quality index (FWQI): Yazd province, Iran
    Authors: Majid Dashti Barmaki
    Journal: Geopersia
    Year: 2013

  10. Analysis of Groundwater Quality using Mamdani Fuzzy Inference System (MFIS) in Yazd province, Iran
    Authors: Majid Dashti Barmaki
    Journal: International Journal of Computer Applications
    Year: 2012

Shaofeng Zheng | Engineering | Best Researcher Award

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Mr. Shaofeng Zheng | Engineering | Best Researcher Award

Zheng Shaofeng is a seasoned Senior Engineer and currently serves as the Technical Head of the Laboratory at the Huangpu Customs Technology Center. With a longstanding dedication to the inspection and testing of import and export commodities, he has earned recognition for his technical expertise and leadership in national and international standardization. He is a registered expert and committee member in various prominent technical groups, including the Standardization Technical Committee for Fire Tests of Electrical and Electronic Products (SAC/TC 300), IEC/TC 89, and ISO TR 8124-9:2018. Zheng has actively contributed to the development and revision of 14 national standards, reflecting his deep influence on regulatory practices in China. His research efforts are highly interdisciplinary, spanning battery lifecycle traceability, environmental safety, and commodity quality evaluation. Over the years, he has published more than 20 academic papers in SCI, EI-indexed journals, and core Chinese journals, further establishing his academic presence. Zheng also holds over 10 patents and has received several prestigious awards recognizing his contributions to scientific advancement and technological innovation. He is a vital figure in connecting scientific inquiry with real-world application, particularly in energy storage systems, trade regulations, and product safety.

Professional Profile

Education

While specific institutional affiliations are not detailed, Zheng Shaofeng’s educational background is evidently rooted in a strong foundation in engineering and applied sciences. His advanced knowledge and professional roles suggest that he has undergone formal academic training in materials science, chemical engineering, environmental technology, or a closely related field. The technical nature of his research and his ability to lead high-level scientific projects imply both undergraduate and postgraduate education, likely supplemented with ongoing professional development. His qualifications are further validated by his active participation in national standardization committees and involvement in high-level research and policy formulation projects. Moreover, his standing as a senior engineer and technical expert in various regulatory and technological domains shows a continued commitment to learning and applying new knowledge in dynamic and complex environments. Though the exact degrees and institutions remain unspecified, Zheng’s career achievements and affiliations with multiple scientific and governmental bodies reflect his strong academic grounding and ability to translate education into impactful practice.

Professional Experience

Zheng Shaofeng currently serves as the Technical Head of the Laboratory at the Huangpu Customs Technology Center, where he has played a central role in the development and implementation of inspection protocols for import and export commodities. With extensive experience in applied laboratory science, regulatory compliance, and technical assessment, he is responsible for managing large-scale testing procedures that align with national and international standards. His professional experience also includes significant participation in governmental science and technology evaluations as an expert for the Guangdong Province Department of Science and Technology and as a technical trade expert for the WTO/TBT Notification and Research Center. Zheng’s leadership spans collaborative, interdisciplinary projects on battery lifecycle traceability, carbon footprint analysis, and product safety evaluation. His input in these areas helps shape national policy and contributes to global standards. His role involves hands-on testing, risk assessment, standardization, and training of personnel, making him both a technical and administrative leader in his organization. By bridging the gap between research and regulation, he ensures that emerging technologies and products entering Chinese markets comply with the highest safety and environmental standards.

Research Interests

Zheng Shaofeng’s research interests lie at the intersection of environmental technology, energy systems, regulatory science, and materials testing. He focuses particularly on risk monitoring, traceability, and lifecycle assessment of energy storage systems, especially imported and exported new energy vehicle power batteries. His work aligns with global sustainability goals, as it emphasizes full lifecycle carbon footprint analysis and the residual value assessment of second-life batteries. He is also deeply involved in safety testing protocols and fire hazard assessments for electronic and electrical commodities. Zheng’s involvement in international technical committees such as IEC/TC 89 and ISO TR 8124-9:2018 reflects a strong interest in standardization and global regulatory harmonization. His interdisciplinary research contributes not only to scientific innovation but also to public safety, international trade policies, and environmental protection. Through his work, Zheng is addressing some of the most pressing challenges in product safety and green technology—ensuring safe, traceable, and sustainable product development and deployment. His focus on real-world applicability gives his research a strategic relevance that extends beyond academia into the realms of industry and policy.

Research Skills

Zheng Shaofeng brings a rich array of technical and analytical skills to his research endeavors. He is proficient in advanced laboratory testing methods for electronic and electrical products, with a particular emphasis on fire hazard assessments and quality inspection protocols. His research methodology incorporates lifecycle analysis, carbon footprint modeling, and residual value assessment—tools that are critical for evaluating the sustainability and safety of new energy vehicle batteries. He has extensive experience in managing complex research projects at provincial and ministerial levels, demonstrating his capabilities in project design, data interpretation, and results dissemination. Zheng’s skills also extend to technical writing, as evidenced by his publication record in high-impact journals and his role in developing national standards. Furthermore, his patent portfolio highlights his ability to innovate and solve real-world technical problems. In regulatory science, he has a deep understanding of WTO/TBT compliance, international standardization frameworks, and risk-based monitoring approaches. His combined laboratory expertise, policy knowledge, and interdisciplinary communication skills position him as a multifaceted researcher who seamlessly integrates technical proficiency with practical application.

Awards and Honors

Zheng Shaofeng has received multiple awards and honors recognizing his significant contributions to scientific research and technological development. His projects have been honored with the Third Prize of the Science and Technology Award by the China General Chamber of Commerce, the Third Prize of the Science and Technology Progress Award by the China Federation of Logistics & Purchasing, and commendations from the Guangdong Quality Development Promotion Association and the Guangdong Measurement, Control & Instrumentation Society. These accolades reflect the impactful nature of his work in commodity inspection, safety evaluation, and battery lifecycle analysis. Additionally, his contributions to the development and revision of 14 national standards have earned him respect and authority in China’s regulatory ecosystem. His membership in prestigious technical committees and expert groups—including IEC/TC 89 and SAC/TC 300—further illustrates the national and international recognition of his expertise. The combination of awards and leadership roles underlines his reputation as a leading expert in environmental testing and regulatory compliance, emphasizing both his technical contributions and his strategic influence in shaping policy and standards.

Conclusion

In conclusion, Zheng Shaofeng exemplifies the qualities of a leading researcher whose work bridges scientific innovation, regulatory compliance, and public safety. Through his leadership in laboratory testing, participation in national and international standardization efforts, and direction of cutting-edge projects on battery traceability and carbon monitoring, he has significantly contributed to the field of environmental technology and product safety. His technical acumen is matched by his strategic foresight, making his research not only relevant but also transformative in its application. With more than 20 research publications, 10+ patents, and multiple national awards, Zheng’s achievements reflect a sustained commitment to excellence, innovation, and service. He stands out as a role model for integrating scientific rigor with real-world impact. While there is room for deeper international collaboration and broader global publication presence, Zheng’s current trajectory positions him strongly within both national and international research communities. His multifaceted expertise and proven results make him a highly deserving candidate for the Best Researcher Award, and his continued work will undoubtedly yield further advancements in science, technology, and policy.

Publications Top Notes

  1. Plastic Reference Material (PRM) Combined With Partial Least Square (PLS) in Laser-Induced Breakdown Spectroscopy (LIBS) in the Field of Quantitative Elemental Analysis
  2. Authors: Wang, Bin Zheng, Shaofeng Gan, Jiulin Yang, Zhongmin Song, Wuyuan
  3. Journal: Guang Pu Xue Yu Guang Pu Fen Xi (Spectroscopy and Spectral Analysis)
  4. Publication Year: 2023

Jing Wang | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Jing Wang | Engineering | Best Researcher Award

Associate Professor from Shanghai Jiao Tong University, China

Jing Wang, Ph.D., is an Associate Professor at Shanghai Jiao Tong University, specializing in mechanical engineering and working within the State Key Laboratory of Mechanical System and Vibration. With a birth date of November 14, 1989, Dr. Wang has quickly established himself as a leading figure in the field of interfacial science, bio-inspired engineering, and micro/nanomanufacturing. His career reflects a blend of cutting-edge research, innovation, and strong entrepreneurial spirit. Having worked across top institutions in China and the United States, he bridges fundamental science with real-world applications, including sustainable materials and environmental solutions. Dr. Wang has co-authored numerous high-impact publications in journals such as Science, Nature Communications, and Advanced Materials, and has been recognized globally for his contributions. Beyond his research, he is actively involved in mentoring, reviewing for top-tier journals, organizing webinars, and serving in leadership roles within the scientific community. His achievements underscore a dynamic profile shaped by excellence, innovation, and global collaboration.

Professional Profile

Education

Jing Wang completed his Bachelor of Engineering (B.E.) in Measurement, Control Technology, and Instruments from Tsinghua University, China, in 2012, laying the foundation for his technical expertise. He advanced his studies in the United States, earning a Ph.D. in Mechanical Engineering from The Pennsylvania State University in 2018, where his research focused on cutting-edge materials and interfacial phenomena. Dr. Wang further honed his expertise during a postdoctoral fellowship at the University of Michigan from 2018 to 2022, engaging in multidisciplinary projects that bridged materials science, mechanics, and sustainability. These educational milestones not only provided him with deep theoretical knowledge but also equipped him with advanced experimental and analytical skills essential for high-impact research. His academic journey across top-tier institutions in China and the U.S. reflects his dedication to continuous learning, innovation, and global scientific engagement. Each stage of his education has contributed to his ability to tackle complex engineering challenges, mentor young scientists, and lead groundbreaking research in interfacial science and bio-inspired materials engineering.

Professional Experience

Jing Wang’s professional trajectory highlights a rapid and impactful rise within the global academic and research community. After completing his Ph.D. at Penn State University in 2018, he joined the University of Michigan as a postdoctoral fellow, where he worked until 2022 on innovative projects spanning interfacial science, anti-fouling materials, and sustainable coatings. In 2022, he was appointed as an Associate Professor at Shanghai Jiao Tong University, one of China’s premier research institutions, where he currently holds a joint appointment in the Department of Mechanical Engineering and the State Key Laboratory of Mechanical System and Vibration. Beyond his academic posts, Dr. Wang has been a Technical Advisor for spotLESS Materials Inc. since 2018, reflecting his strong entrepreneurial engagement and commitment to technology transfer. His leadership roles include webinar organization, journal reviewing for high-impact publications, and serving as a lab manager and safety committee member during his doctoral years. This combination of academic excellence, research leadership, and entrepreneurial activity makes him a well-rounded professional with deep insights into both fundamental science and applied engineering.

Research Interests

Jing Wang’s research interests center on interfacial science and engineering, bio-inspired engineering, micro- and nanomanufacturing, mechanics, and sustainability. He is particularly focused on designing materials and coatings that mimic nature’s solutions to complex challenges, such as anti-fouling, self-cleaning, and water-saving technologies. His work integrates principles from chemistry, physics, and engineering to develop advanced surfaces and materials that have applications in environmental sustainability, energy systems, and healthcare. Additionally, Dr. Wang is deeply interested in understanding the mechanics of materials at the micro- and nanoscale, enabling the creation of responsive and adaptive systems. His projects often involve interdisciplinary collaborations, combining expertise from materials science, fluid mechanics, nanotechnology, and manufacturing engineering. Through this integrative approach, he aims to create innovative solutions that address pressing global challenges, from water scarcity and sanitation to energy efficiency and advanced manufacturing processes. Dr. Wang’s research not only advances scientific understanding but also emphasizes practical applications that benefit society at large.

Research Skills

Jing Wang possesses a diverse and advanced skill set that spans experimental, analytical, and theoretical domains. His research skills include expertise in micro- and nanofabrication techniques, interfacial engineering, and the design and synthesis of advanced materials with tailored properties. He is adept in various surface characterization methods such as scanning electron microscopy (SEM), atomic force microscopy (AFM), and contact angle measurements, enabling detailed understanding of surface properties. Dr. Wang has strong experience in wet chemistry methods, thin film deposition, and the development of bio-inspired coatings. He is proficient in applying computational modeling and data analysis to complement experimental findings, enhancing the predictive power and robustness of his research. Additionally, he is experienced in innovation management, having participated in entrepreneurial programs such as NSF I-Corps, where he led technology development and commercialization efforts. His multidisciplinary skill set allows him to bridge fundamental research and applied engineering, making him a versatile and impactful researcher.

Awards and Honors

Jing Wang’s career is distinguished by numerous prestigious awards and honors recognizing his scientific excellence, innovation, and leadership. Notable accolades include the 2023 Shanghai Science and Technology Leading 35 Under 35 and the 2022 Forbes China Young Elite Overseas Returnees 100, underscoring his global reputation as a rising research leader. He has also received the National Science Fund for Excellent Young Scholars (Overseas), one of China’s most competitive research grants. Earlier in his career, Dr. Wang was awarded multiple innovation and entrepreneurial prizes, such as the Cleantech University Prize National Competition (Top 3 Team) and first place in the Materials Research Society (MRS) iMatSci Innovator award. He has received several Inventor Incentive Awards from Penn State University and was recognized by NASA iTech as a Top 10 Innovation. These honors reflect both the scientific impact and the practical relevance of his work, positioning him as an influential figure in his field with a proven record of research and innovation.

Conclusion

In conclusion, Dr. Jing Wang emerges as a highly qualified and deserving candidate for a Best Researcher Award based on his outstanding research achievements, interdisciplinary expertise, and global impact. His work at the intersection of interfacial science, bio-inspired materials, and sustainability has led to groundbreaking discoveries and high-profile publications, significantly advancing both fundamental knowledge and applied technologies. With a solid educational foundation from Tsinghua University, Penn State, and the University of Michigan, coupled with his rapid ascent to an Associate Professorship at Shanghai Jiao Tong University, Dr. Wang exemplifies excellence in research leadership. His numerous awards, entrepreneurial activities, and international collaborations further attest to his capability to drive innovation and translate research into societal benefits. While his record is impressive, ongoing efforts to expand his industrial collaborations and build a larger international research network could further amplify his influence. Overall, Dr. Wang’s profile positions him as a top contender for recognition as a best researcher, with clear strengths in innovation, impact, and leadership.

Publications Top Notes

  1. Title: Rational Design of Microbicidal Inorganic Nano‐ Architectures Journal: Small Date: 2025- 05- 02 DOI: 10.1002/ smll. 202502663 Authors: Shuaidong Qi, Jing Wang, Decui Cheng, Tingting Pan, Ruoming Tan, Hongping Qu, Li‐ Min ZhuRational Design of Microbicidal Inorganic Nano-Architectures
    Journal: Small
    Date: 2025-05-02
    DOI: 10.1002/smll.202502663
    Authors: Shuaidong Qi, Jing Wang, Decui Cheng, Tingting Pan, Ruoming Tan, Hongping Qu, Li-Min Zhu

  2. Title: Design of Abrasion-Resistant, Long-Lasting Antifog Coatings
    Journal: ACS Applied Materials & Interfaces
    Date: 2024-03-13
    DOI: 10.1021/acsami.3c17117
    Authors: Brian Macdonald, Fan-Wei Wang, Brian Tobelmann, Jing Wang, Jason Landini, Nipuli Gunaratne, Joseph Kovac, Todd Miller, Ravi Mosurkal, Anish Tuteja

  3. Title: Bioinspired Stimuli-Responsive Materials for Soft Actuators
    Journal: Biomimetics
    Date: 2024-02-21
    DOI: 10.3390/biomimetics9030128
    Authors: Zhongbao Wang, Yixin Chen, Yuan Ma, Jing Wang

  4. Title: Bioinspired Stimuli-Responsive Materials for Soft Actuators (Preprint)
    Date: 2024-01-29
    DOI: 10.20944/preprints202401.2039.v1
    Authors: Zhongbao Wang, Yixin Chen, Yuan Ma, Jing Wang

  5. Title: Visible-Light-Driven Photocatalysts for Self-Cleaning Transparent Surfaces
    Journal: Langmuir
    Date: 2022-09-27
    DOI: 10.1021/acs.langmuir.2c01455
    Authors: Andrew J. Gayle, Julia D. Lenef, Park A. Huff, Jing Wang, Fenghe Fu, Gayatri Dadheech, Neil P. Dasgupta

  6. Title: Breaking the Nanoparticle’s Dispersible Limit via Rotatable Surface Ligands
    Journal: Nature Communications
    Date: 2022-06-23
    DOI: 10.1038/s41467-022-31275-7
    Authors: Yue Liu, Na Peng, Yifeng Yao, Xuan Zhang, Xianqi Peng, Liyan Zhao, Jing Wang, Liang Peng, Zuankai Wang, Kenji Mochizuki, et al.

  7. Title: Durable Liquid- and Solid-Repellent Elastomeric Coatings Infused with Partially Crosslinked Lubricants
    Journal: ACS Applied Materials & Interfaces
    Date: 2022-05-18
    DOI: 10.1021/acsami.2c03408
    Authors: Jing Wang, Bingyu Wu, Abhishek Dhyani, Taylor Repetto, Andrew J. Gayle, Tae H. Cho, Neil P. Dasgupta, Anish Tuteja

  8. Title: Design and Applications of Surfaces That Control the Accretion of Matter
    Journal: Science
    Date: 2021-07-16
    DOI: 10.1126/science.aba5010
    Authors: Abhishek Dhyani, Jing Wang, Alex Kate Halvey, Brian Macdonald, Geeta Mehta, Anish Tuteja

  9. Title: Quantitative and Sensitive SERS Platform with Analyte Enrichment and Filtration Function
    Journal: Nano Letters
    Date: 2020-09-03
    DOI: 10.1021/acs.nanolett.0c02683
    Authors: Jing Wang

Ali Khoshlahjeh Sedgh | Engineering | Best Researcher Award

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Mr. Ali Khoshlahjeh Sedgh | Engineering | Best Researcher Award

Co-Author at K. N. Toosi University of Technology, Iran

Ali Khoshlahjeh Sedgh is a highly motivated and accomplished electrical engineer with a deep passion for control systems and cybersecurity within cyber-physical systems. He holds both Bachelor’s and Master’s degrees in Electrical Engineering from K. N. Toosi University of Technology, where he consistently ranked among the top of his class. Ali has demonstrated excellence in academic performance, earning prestigious scholarships from the Iran National Elites Foundation and Ghalamchi Educational Foundation. His Master’s thesis, focused on implementing reinforcement learning methods for cyber-attack detection in liquid-level control systems, showcases his skill in combining theoretical models with practical application. Ali’s interests span fault detection, system identification, adaptive and robust control, and the integration of machine learning techniques such as neural networks and reinforcement learning into industrial control environments. He has authored several publications in high-ranking journals and conferences, highlighting his commitment to research and innovation. In addition to his technical expertise, he is an experienced educator and lab coordinator, having guided student projects and managed experimental research facilities. Ali’s work is characterized by a strong foundation in mathematical modeling, system design, and implementation, and his long-term vision is to contribute to the development of resilient, secure, and intelligent control systems for critical infrastructures worldwide.

Professional Profile

Education

Ali Khoshlahjeh Sedgh earned his Master of Science degree in Electrical Engineering with a specialization in Control from K. N. Toosi University of Technology, Tehran, graduating in 2024 with an outstanding GPA of 4.0 (19.08/20). His thesis, supervised by Prof. Hamid Khaloozadeh, focused on the “Practical Implementation of Reinforcement Learning Methods for Attack Detection in a Liquid Level Control Cyber-Physical System,” exemplifying his ability to integrate artificial intelligence techniques with industrial control systems. His graduate coursework included top marks in challenging subjects such as Fault Detection, System Identification, Adaptive Control, Optimal Filtering, and Robust Control. Prior to his master’s, Ali completed his Bachelor of Science in Electrical Engineering from the same university, graduating in 2021 with a GPA of 3.88/4. His undergraduate thesis involved designing a solar-powered forest fire alarm system using SMS module communication. Throughout his academic career, he consistently achieved top ranks in control engineering and was accepted into the Master’s program without an entrance exam due to his exceptional performance. Ali’s education is deeply rooted in both theoretical principles and practical experimentation, forming a strong foundation for his research in intelligent and secure control systems. His academic training reflects his dedication, curiosity, and capability for innovation in the field.

Professional Experience

Ali Khoshlahjeh Sedgh has built substantial professional experience through both academic and industrial roles, demonstrating a balance between research, teaching, and practical engineering applications. Since 2022, he has served as the Laboratory Coordinator at the Instrumentation Lab of K. N. Toosi University of Technology. In this role, he has managed research projects, supervised laboratory experiments, maintained equipment, organized exams, and supported student internships. His responsibilities included implementing cyber-physical security measures, designing experimental setups, and applying fault detection techniques in real systems. Ali’s involvement in the lab has allowed him to practically test advanced control strategies, including PI, LQT, and adaptive controllers, in coupled-tank systems. His commitment to knowledge sharing is further highlighted by his teaching experience, where he has worked as an instructor and teaching assistant in courses such as Engineering Probability. Additionally, Ali gained industry experience as an intern and later as an electrical engineer at Fahm Electronics from 2021 to 2022. During this time, he worked on medical rehabilitation equipment and industrial projects, including the design and development of a 3-degree-of-freedom platform. His strong work ethic earned him top evaluations. Ali’s professional journey showcases a dynamic profile of technical versatility, research leadership, and a strong orientation toward solving real-world engineering problems.

Research Interests

Ali Khoshlahjeh Sedgh’s research interests lie at the intersection of control engineering, cyber-physical systems, and artificial intelligence, with a focus on developing secure, resilient, and intelligent systems. He is particularly passionate about Fault Detection and Identification (FDI), where he explores both signal-based and model-based techniques to enhance system reliability in real-time industrial applications. System Identification also plays a central role in his work, allowing him to model and simulate complex dynamic systems accurately using both non-parametric and parametric methods. Ali has a strong interest in Adaptive and Robust Control, emphasizing strategies that ensure system stability and performance under uncertainties and disturbances. He is equally engaged in applying Machine Learning—especially Reinforcement Learning (RL) and Neural Networks (NN)—to control problems, including attack detection in cyber-physical systems. His recent research centers on using reinforcement learning methods to detect and mitigate cyber-attacks, such as denial-of-service (DoS), in liquid-level control systems. Through a combination of theoretical foundations and hands-on implementations, Ali aims to build control systems that can adaptively respond to anomalies and security threats. He envisions future applications of his research in smart grids, autonomous vehicles, and industrial automation, where system safety and resilience are increasingly critical in the face of evolving technological and cybersecurity challenges.

Research Skills

Ali Khoshlahjeh Sedgh possesses a robust set of research skills that span theoretical modeling, simulation, implementation, and experimental validation of advanced control systems. He is proficient in using MATLAB and Simulink for simulation and algorithm development, and has developed numerous tools for system identification, adaptive control, estimation theory, and fault detection. His coding skills in Python, C, and C++ complement his ability to apply machine learning and signal processing techniques in both time and frequency domains. Ali has implemented methods like Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), and classifiers including KNN, Bayesian approaches, and Neural Networks such as MLP and RBF for fault diagnosis tasks. In estimation theory, he has used optimal filters like Kalman Filter, Wiener Filter, and maximum likelihood-based methods for state and parameter estimation. Ali has practically applied these techniques in a real coupled-tank system where he modeled and diagnosed faults and detected cyber-attacks using tools like Wireshark and protocols via Kali Linux. His control system toolbox includes robust PI controllers, LQT controllers, adaptive observers, and STR models. His strong command over experimental research, hardware-software integration, and system analysis reflects his ability to transform theoretical constructs into practical solutions for critical infrastructure systems.

Awards and Honors

Ali Khoshlahjeh Sedgh’s academic and research excellence has been consistently recognized through multiple awards and honors. He was ranked 2nd among all Master of Science students in Electrical Engineering – Control at K. N. Toosi University of Technology in 2024, a testament to his outstanding academic record and contribution to research. Earlier, in 2021, he graduated as the 3rd top student in the Control sub-major during his bachelor’s degree, which led to his direct admission into the master’s program without the need for a national entrance examination. Ali’s talent was further acknowledged through his receipt of scholarships from the Iran National Elites Foundation between 2021 and 2023, awarded to high-potential students contributing to science and technology in Iran. Additionally, he received a scholarship from the Ghalamchi Educational Foundation during his early undergraduate years in recognition of his academic promise. His active participation and presentation at international conferences—such as ITMS 2023 in Latvia—showcase his engagement with the global research community. These accolades reflect not only Ali’s scholarly dedication and innovative thinking but also his leadership potential and ability to stand out in highly competitive academic environments.

Conclusion

Ali Khoshlahjeh Sedgh represents the ideal convergence of deep technical expertise, hands-on research capability, and forward-thinking innovation in the field of control engineering. With a strong educational foundation from K. N. Toosi University of Technology and consistent recognition as a top-performing student, Ali has built a multifaceted academic and professional profile. His work bridges theory and practice, especially in developing intelligent, resilient control systems that address real-world issues such as cyber threats and fault tolerance in cyber-physical environments. Ali’s commitment to excellence is evident in his peer-reviewed publications, experimental projects, and his roles as both a laboratory coordinator and educator. He is driven by a desire to make meaningful contributions to modern engineering challenges, particularly in ensuring the security and reliability of automated systems. His future ambitions include pursuing advanced research, collaborating on interdisciplinary projects, and contributing to innovations in smart infrastructure, autonomous systems, and industrial automation. With a collaborative spirit, a deep curiosity for learning, and a relentless pursuit of practical solutions, Ali is well-positioned to lead and innovate in both academic and industry-driven environments. His journey so far reflects not just skill, but a vision for shaping the future of secure and adaptive control systems.

Publications Top Notes

  1. Title: Resilient Control for Cyber-Physical Systems Against Denial-of-Service Cyber Attacks Using Kharitonov’s Theorem
    Authors: H.R. Chavoshi, A.K. Sedgh, H. Khaloozadeh
    Year: 2023
    Citations: 2

  2. Title: Enhancing Cybersecurity in Nonlinear Networked Control Systems Through Robust PI Controller Design and Implementation Against Denial-of-Service Attacks
    Authors: A.H. Salasi, H.R. Chavoshi, O. Payam, A.K. Sedgh, H. Khaloozadeh
    Year: 2023
    Citations: 1

  3. Title: Practical Implementation of Multiple Faults in a Coupled-Tank System: Verified by Model-Based Fault Detection Methods
    Authors: H.R. Chavoshi, A.K. Sedgh, M.A. Shoorehdeli, H. Khaloozadeh
    Year: 2023
    Citations: 1

Reza Amjadifard | Engineering | Best Researcher Award

Published on by Shen Awards

Assist. Prof. Dr. Reza Amjadifard | Engineering | Best Researcher Award

Faculty member at Iranian Space research Center, Iran 

Reza Amjadifard is a seasoned researcher and educator in geotechnical engineering, with a strong emphasis on soil mechanics, foundation design, and sustainable ground improvement techniques. With over a decade of academic and field experience, he has contributed extensively to both the theoretical and applied dimensions of civil engineering. Reza holds a Ph.D. in Geotechnical Engineering and has served in academic and research positions in Iran, Malaysia, and other parts of Southeast Asia. He is known for his work on soil stabilization using recycled and environmentally friendly materials, a topic that reflects his deep commitment to sustainable development. His scholarly work includes numerous peer-reviewed journal articles, conference presentations, and research collaborations that span continents. Reza’s professional journey is marked by a seamless integration of teaching, research, and real-world applications. He is recognized for his ability to lead multidisciplinary teams, mentor graduate students, and secure competitive research funding. In addition to his technical capabilities, Reza possesses strong communication and leadership skills, which have helped him contribute to academic program development and institutional partnerships. Through his career, Reza has consistently demonstrated a forward-thinking approach to geotechnical challenges, making him a valuable contributor to both academia and industry.

Professional Profile

Education

Reza Amjadifard’s educational journey is rooted in a deep curiosity for solving complex engineering problems and a passion for sustainable infrastructure development. He earned his Bachelor of Science in Civil Engineering from Islamic Azad University in Iran, where he laid the foundation for his technical knowledge in structural analysis, hydraulics, and soil mechanics. Driven by a growing interest in geotechnical engineering, he pursued a Master of Science in Geotechnical Engineering, also at Islamic Azad University, where he conducted research on slope stability and earth reinforcement techniques. His master’s thesis explored innovative methods for improving soil strength, igniting his long-term research interests in ground improvement and soil behavior. Reza further advanced his academic career by earning a Ph.D. in Geotechnical Engineering from Universiti Sains Malaysia (USM), one of Southeast Asia’s top research institutions. His doctoral research focused on the use of recycled materials in soil stabilization, combining environmental sustainability with engineering efficiency. Throughout his academic career, Reza consistently achieved high academic distinctions and published numerous papers based on his thesis work. His formal education has been complemented by international workshops, seminars, and certifications that have kept him abreast of emerging technologies and methodologies in civil and geotechnical engineering.

Professional Experience

Reza Amjadifard has cultivated a robust and multidisciplinary professional background in civil engineering, spanning over a decade of academic and practical contributions. He began his academic career as a Lecturer at Islamic Azad University in Iran, where he taught courses in geotechnical engineering, soil mechanics, and foundation design. During this time, he also supervised numerous undergraduate and graduate student projects, fostering a passion for mentorship and academic leadership. His work in the field progressed with collaborative projects involving slope stability, soil improvement, and foundation engineering, allowing him to apply theoretical knowledge to real-world geotechnical challenges. Following his relocation to Malaysia, Reza joined Universiti Sains Malaysia (USM) as a Research Fellow, where he contributed to funded research projects focusing on sustainable ground improvement techniques and innovative uses of recycled materials in geotechnical applications. His international experience expanded further with research engagements in Australia and other parts of Southeast Asia, where he worked alongside diverse teams to address region-specific geotechnical issues such as soft soil stabilization and coastal erosion. Reza’s experience seamlessly integrates teaching, research, and field applications, showcasing his capacity to contribute across academic and industry sectors. His professional journey highlights not only technical expertise but also a strong commitment to advancing sustainable and innovative solutions in geotechnical engineering.

Research Interest

Reza Amjadifard’s research interests lie at the intersection of geotechnical engineering, environmental sustainability, and materials science. A significant portion of his work focuses on ground improvement techniques using environmentally friendly and recycled materials, such as waste tire chips, industrial by-products, and natural fibers. These innovations aim to reduce the environmental footprint of civil engineering practices while improving soil stability and bearing capacity. Reza is particularly interested in the behavior of soft soils under various loading and environmental conditions, including the effects of moisture content, chemical treatment, and dynamic forces. His research also delves into slope stability analysis, foundation performance, and soil-structure interaction, providing practical solutions for infrastructure in challenging geological settings. Reza is keen on integrating experimental and numerical methods in his studies, often employing advanced geotechnical software to simulate soil behavior and validate laboratory findings. Furthermore, he is exploring smart and adaptive geotechnical systems, including sensor-based monitoring techniques for early warning in landslide-prone regions. His interdisciplinary approach connects geotechnical engineering with sustainability, resilience, and emerging technologies, making his research highly relevant in the context of climate change and urban expansion. Reza’s work contributes meaningfully to safer, more durable, and eco-friendly infrastructure development.

Research Skills

Reza Amjadifard possesses a comprehensive set of research skills that span both experimental and analytical domains within geotechnical engineering. His expertise includes advanced laboratory testing of soils, such as direct shear tests, triaxial compression tests, consolidation tests, and permeability analysis. He is skilled in developing and modifying testing procedures to assess the effectiveness of novel soil stabilization materials, especially those derived from waste and recycled sources. In addition to hands-on laboratory capabilities, Reza is proficient in the use of numerical modeling tools such as PLAXIS, GeoStudio, and FLAC, which he applies to simulate soil behavior, foundation systems, and slope stability under varying conditions. He also brings strong statistical analysis skills using software like SPSS and MATLAB, which support data interpretation and model calibration. Reza’s research skill set extends to project planning, grant writing, and research paper publication. He has led and participated in interdisciplinary projects funded by both academic institutions and industry, demonstrating his ability to collaborate effectively. His skills in technical writing and presentation have helped him communicate complex findings to both technical and non-technical audiences. Overall, his diverse research competencies make him an asset to teams focused on sustainable geotechnical innovation and infrastructure resilience.

Awards and Honors

Reza Amjadifard’s dedication to research excellence and academic service has earned him numerous awards and honors throughout his career. During his doctoral studies at Universiti Sains Malaysia, he received the prestigious Graduate Research Assistantship for his groundbreaking work in sustainable soil stabilization, a recognition awarded to top-tier doctoral candidates. His research contributions have been acknowledged through Best Paper Awards at several international geotechnical and civil engineering conferences, highlighting the impact and quality of his scholarly output. Reza has also been honored with research grants from governmental and academic bodies, including funding for interdisciplinary projects that address environmental and infrastructural challenges in developing regions. In addition, he has been invited to serve as a peer reviewer for several high-impact journals in the fields of geotechnical engineering, environmental geotechnology, and construction materials, recognizing his expertise and thought leadership. His excellence in teaching was acknowledged by Islamic Azad University, where he received the “Outstanding Lecturer” award for his engaging and innovative teaching methods. These accolades reflect Reza’s continuous pursuit of academic and research excellence, his commitment to mentorship, and his contributions to the advancement of geotechnical engineering both locally and internationally.

Conclusion

Reza Amjadifard exemplifies the qualities of a dedicated scholar, innovative researcher, and impactful educator in the field of geotechnical engineering. His academic journey and professional experiences across multiple countries reflect a global perspective and a deep commitment to advancing sustainable and practical solutions in civil infrastructure. By integrating cutting-edge research with real-world applications, Reza has addressed critical challenges in soil stabilization, foundation engineering, and environmental geotechnology. His research not only contributes to academic knowledge but also supports industries and communities in developing resilient and sustainable infrastructure. Beyond his technical expertise, Reza is a skilled communicator and collaborator, capable of leading interdisciplinary teams and mentoring emerging scholars. His numerous awards and recognitions are a testament to his influence in both academia and practice. Looking ahead, Reza aims to expand his research collaborations internationally, explore emerging technologies such as smart geotechnical systems, and contribute to educational programs that inspire the next generation of engineers. With his rich background, future-focused vision, and unwavering dedication to excellence, Reza is well-positioned to continue making meaningful contributions to the field of geotechnical engineering and to broader efforts in sustainable development.

Publications Top Notes

1.Proposing an Improved DC LISN for Measuring Conducted EMI Noise

Authors: R. Amjadifard, M.T. Bina, H. Khaloozadeh, F. Bagheroskouei
Year: 2021
Citations: 19

2. Suggesting a Non-Unity Turn Ratio Two-Winding Coupled Inductor for Filtering CM EMI Noise in an SRC

Authors: R. Amjadifard, M.T. Bina, H. Khaloozadeh, F. Bagheroskouei, A. Shahirinia
Year: 2023
Citations: 6

3. Design and implementation of the electrical power subsystem for a small satellite

Authors: F. Bagheroskouei, S. Karbasian, M. Baghban, R. Amjadifard
Year: 2017
Citations: 6

4. Improved source-end current Power Quality performance of a BLDC motor drive using a novel DC-DC converter

Authors: A.N. Babadi, A.H. Pour, R. Amjadifard
Year: 2017
Citations: 6

5. A New Index for Reliability Assessment of power semiconductor devices: IGBTs

Authors: A.N. Babadi, M.T. Bina, R. Amjadifard
Year: 2022
Citations: 3

6. System-level Evaluation of the Operation of Different Solar Array Structures for Various CubeSat Configurations

Authors: O. Shekoofa, F. Bagheroskouei, R. Amjadifard
Year: 2022
Citations: 2

7. Simulation of total ionizing dose radiation effect on telecommunication satellite by GEANT4

Authors: S. Zamani Moghaddam, R. Amjadifard, M. Khoshsima
Year: 2016
Citations: 2

8. Topology and configuration selection for DC/DC converters in space electrical power systems based on comparative reliability evaluation

Authors: R. Amjadifard, A. Fasooniehchi, E. Kosari
Year: 2015
Citations: 2

9. Studying the Effects of Multi-Layer Shielding in Reducing Space Radiations Exposure of Human and Electrical Components in Space Missions

Authors: S. Shoorian, S. Feghhi, H. Jafari, R. Amjadifard
Year: 2023
Citations: 1

10. Effect of Total Ionizing Dose Damage on Laser Subsystem of Space LIDAR Payload: System Level Design of Remote Sensing Satellite

Authors: M. Khoshsima, R. Amjadifard, M.S. Zamani, S. Ghazanfarinia
Year: 2018
Citations: 1

11. Model Predictive Control for Reduced Structure Multilevel Converters in Compact Power Conversion Units

Authors: A.H. Pour, A.N. Babadi, R. Amjadifard
Year: 2017
Citations: 1

12. Conducted EMI Noise Modelling for DC–DC Converters Based on the Time‐Domain Measurements

Authors: R. Amjadifard, F. Bagheroskouei, V. Talebzadeh
Year: 2025

13. Analysis of Radiation Damage of a Satellite in GTO Orbit: System Level Design

Authors: R. Amjadifard, M. Khoshsima
Year: 2024

14. Identification and Prioritization of Satellite Electrical Power Subsystem Technologies for National Development Based on Multiple Criteria Decision Making

Authors: R. Amjadifard, E. Mousivand, F. Bagheroskuee, S. Karbasian, E. Kosari
Year: 2024

15. Design, Implementation and Test of a Space Qualified Dosimeter for Total Ionizing Dose Measurement

Authors: R. Amjadifard, F. Bagheroskouei, O. Shekoofa
Year: 2022

16. Discrete-Time Modeling of Dual Active Bridge Converter Benefiting Extended Phase Shift Modulation Based on Generalized Averaged Model

Authors: A.A. Khorhe, M.T. Bina, R. Amjadifard
Year: 2022

17. Modeling and Verification of the State Space Equation for an Isolated Series Resonant Converter

Authors: R. Amjadifard, M. Tavakoli Bina, H. Khaloozadeh, F. Bagheroskouei, …
Year: 2021

18. Estimation of Solar Panels Available Power for a LEO Satellite in Detumbling Mode Based on Monte Carlo Analysis

Authors: R. Amjadifard, F. Bagheroskouei, E. Maani, A. Fasooniehchi
Year: 2019

19. Evaluation of the Effects of Radiation, Irradiance, and Temperature on Solar Cell Electrical Characteristics and Extraction of Maximum Solar Panel Power by MPPT

Authors: M. Taherbaneh, A. Fasooniehchi, Sh. Karbasian, R. Amjadifard
Year: 2008

Masoud Alilou | Engineering | Best Researcher Award

Published on by Shen Awards

Assist. Prof. Dr. Masoud Alilou | Engineering | Best Researcher Award

Electrical Engineering from Urmia University of Technology, Iran

Dr. Masoud Alilou is a distinguished academic and researcher whose expertise lies at the intersection of biomedical engineering, image processing, and machine learning. Renowned for his pioneering contributions to medical image analysis, Dr. Alilou has played a pivotal role in advancing computational tools for disease detection and diagnosis. His research integrates advanced algorithm development with practical clinical applications, especially in oncology and pulmonary imaging. With a strong publication record in high-impact journals and numerous international collaborations, Dr. Alilou is recognized for his innovative methodologies and interdisciplinary approach. He has also been instrumental in mentoring graduate students and contributing to curriculum development in biomedical engineering and computer science programs. His commitment to translational research has led to the development of automated tools aimed at improving diagnostic accuracy and patient care. Over the years, Dr. Alilou has gained a reputation for excellence in research, teaching, and academic leadership. He is a frequent reviewer for reputed journals and conferences, and his work has been widely cited. Through his dedication to technological innovation and scientific rigor, Dr. Alilou continues to make significant contributions to medical imaging and artificial intelligence in healthcare, solidifying his status as a leader in the academic and scientific communities.

Professional Profile

Education

Dr. Masoud Alilou’s academic journey reflects his deep-rooted commitment to interdisciplinary research and education. He earned his Bachelor’s degree in Computer Engineering, laying a strong foundation in algorithm design, programming, and systems analysis. Driven by a desire to apply computational methods to real-world problems, he pursued a Master’s degree in Biomedical Engineering. During this period, he focused on medical image analysis and machine learning, bridging the gap between engineering and clinical medicine. His master’s research emphasized the development of image processing tools for diagnosing chronic lung diseases, which sparked his long-term interest in healthcare technologies. He later completed his Ph.D. in Biomedical Engineering at Case Western Reserve University, a globally respected institution in the field. His doctoral research concentrated on automated quantitative analysis of medical images using advanced computational models and machine learning techniques. During his Ph.D., Dr. Alilou collaborated closely with radiologists and oncologists, reinforcing the clinical relevance of his work. His interdisciplinary training uniquely positioned him to develop algorithms that are both technically robust and clinically meaningful. Through rigorous coursework, hands-on research, and cross-disciplinary mentorship, Dr. Alilou has built an educational background that combines computational science, engineering, and medicine—an essential blend for cutting-edge biomedical research.

Professional Experience

Dr. Masoud Alilou has amassed an impressive portfolio of professional experience that spans academic research, interdisciplinary collaboration, and technological innovation. Following his doctoral studies, he joined the Quantitative Imaging Laboratory at Case Western Reserve University as a research scientist. In this role, he led and contributed to multiple NIH-funded projects aimed at developing automated tools for lung cancer screening and diagnosis using low-dose CT scans. His work involved close collaboration with clinicians, radiologists, and computer scientists, fostering a rich interdisciplinary environment. Dr. Alilou has also served as a senior researcher and developer on projects integrating artificial intelligence into clinical workflows, focusing on machine learning algorithms for lung nodule detection, segmentation, and classification. His algorithms have been implemented in software solutions used by research hospitals and diagnostic centers, significantly enhancing diagnostic precision and workflow efficiency. In addition to research, Dr. Alilou has mentored graduate students, supervised thesis projects, and contributed to the development of training modules in biomedical imaging and AI. His professional experience also includes serving as a reviewer for numerous peer-reviewed journals, including IEEE Transactions on Medical Imaging and Medical Physics. Through these roles, Dr. Alilou has built a strong reputation as both a scientific innovator and a collaborative leader in the medical imaging community.

Research Interests

Dr. Masoud Alilou’s research interests lie at the convergence of biomedical engineering, medical image analysis, and artificial intelligence. Central to his work is the development of computational techniques for the automated analysis of medical images, particularly in the early detection and characterization of diseases such as lung cancer and chronic obstructive pulmonary disease (COPD). He is deeply interested in low-dose CT imaging and its applications in non-invasive diagnostics, seeking to optimize the accuracy and efficiency of radiological assessments through advanced algorithms. A significant focus of Dr. Alilou’s research is on radiomics—extracting high-dimensional features from medical images to identify patterns correlated with disease outcomes. He is also engaged in developing deep learning models for image classification, segmentation, and prediction of treatment response. His work explores how quantitative image features can be integrated with clinical data to inform precision medicine. Moreover, Dr. Alilou is enthusiastic about translational research, ensuring that the algorithms and tools he develops are applicable in clinical settings. His interdisciplinary projects often involve partnerships with radiologists, oncologists, and biostatisticians. Through his commitment to impactful research, Dr. Alilou continues to push the boundaries of medical imaging, aiming to enhance patient outcomes through innovation and data-driven healthcare solutions.

Research Skills

Dr. Masoud Alilou possesses an exceptional set of research skills that span computational modeling, machine learning, and biomedical image analysis. He is highly proficient in developing and implementing complex algorithms for image processing tasks, including segmentation, registration, and feature extraction. His expertise in computer vision allows him to work with large-scale imaging datasets, transforming raw medical data into meaningful clinical insights. He has extensive experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras, which he uses to design and train neural networks for various diagnostic tasks. Additionally, Dr. Alilou is adept in programming languages such as Python, MATLAB, and C++, enabling him to prototype and optimize algorithms efficiently. His skills in radiomics and statistical analysis allow for the extraction and evaluation of high-dimensional imaging biomarkers, supporting the development of predictive and prognostic models. Dr. Alilou also demonstrates strong skills in interdisciplinary collaboration, integrating domain knowledge from radiology, oncology, and bioinformatics into his research workflows. His rigorous approach to data validation, model performance evaluation, and reproducibility ensures the reliability of his findings. Whether through designing novel AI models or translating computational tools into clinical applications, Dr. Alilou’s technical and collaborative skills stand at the core of his impactful research contributions.

Awards and Honors

Dr. Masoud Alilou has received several prestigious awards and honors in recognition of his outstanding research contributions and academic achievements. His innovative work in the field of medical image analysis has earned him accolades from both academic institutions and professional organizations. As a graduate student, he was honored with the Research Excellence Award at Case Western Reserve University, acknowledging his impactful contributions to biomedical engineering and medical imaging. His research has also been recognized at international conferences, where he has received best paper and poster awards for his work on automated lung cancer detection and radiomics-based diagnostic tools. Dr. Alilou’s contributions to artificial intelligence in healthcare have attracted attention from funding bodies such as the National Institutes of Health (NIH), resulting in several grant-supported projects. In addition, he has been invited to present his work at renowned symposiums and workshops, affirming his status as a thought leader in his field. Dr. Alilou also serves as a regular reviewer for high-impact journals, a testament to the scientific community’s trust in his expertise. These honors reflect not only his technical proficiency but also his dedication to advancing medical science through innovation, collaboration, and academic excellence.

Conclusion

In summary, Dr. Masoud Alilou stands out as a pioneering figure in the field of biomedical engineering and medical image analysis. With a strong educational foundation and diverse professional experience, he has successfully bridged the worlds of computational science and clinical medicine. His research—centered on the development of AI-driven tools for disease diagnosis and prediction—has not only advanced academic knowledge but also brought tangible benefits to healthcare practice. Dr. Alilou’s skills in image processing, machine learning, and interdisciplinary collaboration have positioned him as a key contributor to the evolving landscape of precision medicine. His numerous awards and academic recognitions reflect a career marked by innovation, excellence, and societal impact. Beyond research, Dr. Alilou’s contributions as a mentor, educator, and collaborator have enriched the academic and scientific communities. Looking forward, he continues to explore new frontiers in medical AI, with a vision of improving diagnostic accuracy, patient outcomes, and health system efficiency. As a scientist dedicated to turning complex data into actionable healthcare solutions, Dr. Alilou exemplifies the potential of integrating technology and medicine for the betterment of global health.

Publications Top Notes

  1. Title: Home energy management in a residential smart micro grid under stochastic penetration of solar panels and electric vehicles
    Authors: M. Alilou, B. Tousi, H. Shayeghi
    Year: 2020
    Citations: 93

  2. Title: Fractional-order control techniques for renewable energy and energy-storage-integrated power systems: A review
    Authors: M. Alilou, H. Azami, A. Oshnoei, B. Mohammadi-Ivatloo, R. Teodorescu
    Year: 2023
    Citations: 33

  3. Title: Application of multi objective HFAPSO algorithm for simultaneous placement of DG, capacitor and protective device in radial distribution network
    Authors: H. Shayeghi, M. Alilou
    Year: 2015
    Citations: 25

  4. Title: Multi-objective optimization of demand side management and multi DG in the distribution system with demand response
    Authors: M. Alilou, D. Nazarpour, H. Shayeghi
    Year: 2018
    Citations: 24

  5. Title: Simultaneous placement of renewable DGs and protective devices for improving the loss, reliability and economic indices of distribution system with nonlinear load model
    Authors: M. Alilou, V. Talavat, H. Shayeghi
    Year: 2020
    Citations: 20

  6. Title: Multi-objective energy management of smart homes considering uncertainty in wind power forecasting
    Authors: M. Alilou, B. Tousi, H. Shayeghi
    Year: 2021
    Citations: 19

  7. Title: Multi-Objective demand side management to improve economic and‎ environmental issues of a smart microgrid‎
    Authors: H. Shayeghi, M. Alilou
    Year: 2021
    Citations: 17

  8. Title: Distributed generation and microgrids
    Authors: H. Shayeghi, M. Alilou
    Year: 2021
    Citations: 16

  9. Title: Multi‐objective unit and load commitment in smart homes considering uncertainties
    Authors: M. Alilou, B. Tousi, H. Shayeghi
    Year: 2020
    Citations: 12

  10. Title: Day-ahead scheduling of electric vehicles and electrical storage systems in smart homes using a novel decision vector and AHP method
    Authors: M. Alilou, G.B. Gharehpetian, R. Ahmadiahangar, A. Rosin, et al.
    Year: 2022
    Citations: 11

  11. Title: Optimal placement and sizing of TCSC for improving the voltage and economic indices of system with stochastic load model
    Authors: S. Ghaedi, B. Tousi, M. Abbasi, M. Alilou
    Year: 2020
    Citations: 10

MARIO ORESTES AGUIRRE GONZALEZ | Engineering | Best Researcher Award

Published on by Shen Awards

Prof. MARIO ORESTES AGUIRRE GONZALEZ | Engineering | Best Researcher Award

Professor at Federal University of Rio Grande do Norte, Brazil

Mario Orestes Aguirre González is an accomplished academic and researcher in the field of production engineering, with expertise in product innovation, process optimization, and renewable energy systems. He holds a Ph.D. in Production Engineering with a focus on customer integration in product development from the Universidade Federal de São Carlos (UFSCar), Brazil. As an Associate Professor at the Federal University of Rio Grande do Norte (UFRN), he has significantly contributed to academic development and industry collaborations. Mario leads the CREATION research group, focusing on renewable energy value chains, including wind, solar, and hydrogen. His research is widely published in high-impact journals such as Journal of Cleaner Production and Energy Policy. He is also an active member of national and international energy committees, contributing to strategic initiatives in green hydrogen development.

Professional Profile

Education

Mario Orestes Aguirre González’s educational background is diverse and distinguished. He earned a Ph.D. in Production Engineering from UFSCar in 2010, specializing in customer integration in product development. Prior to that, he completed his Master’s degree in Production Engineering at UFRN in 2005, focusing on customer satisfaction and loyalty in the hospitality industry. He also holds a Bachelor’s degree in Industrial Engineering from the Universidad Nacional de Ingeniería, Peru, which he obtained in 2000. He has pursued specialized training in areas such as total quality management, innovation management, offshore renewable energy systems, and intellectual property. This robust educational foundation has equipped him with a multidisciplinary perspective essential for tackling complex challenges in engineering and innovation.

Professional Experience

Mario has held various impactful positions throughout his career. He is currently an Associate Professor at UFRN, where he teaches and conducts research in product engineering, innovation management, and global value chain coordination. He has previously served as President of the Institute for Innovation and Product Development Management (IGDP) and coordinated significant national conferences and workshops. Mario has also worked on industry-oriented projects with leading companies such as ABM, Vale, and Volkswagen, through the Materials Characterization and Development Center at UFSCar. His contributions extend to academic administration, serving as the vice-coordinator and coordinator of graduate programs at UFRN, and as an editor for Product: Management & Development.

Research Interests

Mario’s research interests are rooted in innovation, process optimization, and renewable energy systems. He is dedicated to advancing knowledge in global value chain integration for green technologies, with a particular focus on wind, solar, and hydrogen energy. His work explores product and process innovation, leveraging interdisciplinary approaches to optimize industrial and operational processes. Through his leadership of the CREATION research group, Mario investigates sustainable energy solutions, contributing to the development of efficient and innovative production systems. He is also committed to fostering the link between academia and industry, ensuring practical applicability and societal impact of his research.

Research Skills

Mario possesses extensive research skills in production and process engineering, including the development of reference models, customer integration, and quality management. He is proficient in utilizing advanced methodologies such as Six Sigma DMAIC, regression models, and risk analysis to drive innovation and efficiency. Mario’s technical expertise spans renewable energy technologies, such as offshore wind and solar power systems, as well as green hydrogen development. His skills in project management, interdisciplinary collaboration, and scholarly writing have enabled him to produce impactful research published in high-impact journals. Additionally, he has strong capabilities in mentoring graduate students and fostering industry-academic partnerships.

Awards and Honors

Mario’s academic and professional achievements have been recognized through numerous awards and honors. He is a CNPq Productivity Research Fellow (Level 2), highlighting his significant contributions to Brazilian research. He received scholarships from CAPES for his doctoral and master’s studies, reflecting his academic excellence. As President of the IGDP, he was instrumental in organizing national events that fostered innovation and collaboration. He has also been acknowledged for his pioneering efforts in renewable energy research, including his active role in the National Hydrogen Program. His diverse recognitions underscore his leadership, academic rigor, and commitment to advancing innovation in engineering.

Conclusion

Mario Orestes Aguirre González is a strong candidate for the Best Researcher Award. His extensive contributions to production engineering, renewable energy innovation, and academic leadership, combined with impactful publications and industry collaborations, make him a well-rounded and deserving nominee. Strategic efforts to enhance international engagement and intellectual property outputs could further elevate his profile in the global research community.

Publication Top Notes

  1. Offshore Wind Power Growth and Industrial Development in Emerging Markets
    • Authors: González, M.; Santiso, A.; Jones, D.; Vasconcelos, R.; Melo, D.
    • Year: 2024
    • Citations: 0
  2. Maturity Model for Sustainability Assessment of Chemical Analyses Laboratories in Public Higher Education Institutions
    • Authors: Souza, M.A.; González, M.O.A.; Pinho, A.L.S.D.
    • Year: 2024
    • Citations: 3
  3. Technology Mapping of Direct Seawater Electrolysis Through Patent Analysis
    • Authors: Medeiros Araújo de Moura, L.C.; Orestes Aguirre González, M.; de Oliveira Ferreira, P.; Gonçalves Vasconcelos Sampaio, P.
    • Year: 2024
    • Citations: 4
  4. Factors Influencing the Decision-Making Process at the End-of-Life Cycle of Onshore Wind Farms: A Systematic Review
    • Authors: Agra Neto, J.; González, M.O.A.; Castro, R.L.P.D.; Souza, L.H.D.; Cabral, E.L.D.S.
    • Year: 2024
    • Citations: 0
  5. Evaluation of Technological Development of Hydrogen Fuel Cells Based on Patent Analysis
    • Authors: Moura, L.; González, M.; Silva, J.; Ferreira, P.; Sampaio, P.
    • Year: 2024
    • Citations: 1
  6. Lean Development and Its Impacts on the Performance of New Product Processes: An Analysis of Innovative Brazilian Companies
    • Authors: de Toledo, J.C.; Pinheiro, L.M.P.; Poltronieri, C.F.; Barbalho, S.; González, M.O.A.
    • Year: 2023
    • Citations: 4
  7. Analysis of the Impact of Communication Campaigns Under the Project “Syphilis No”: A National Tool for Inducing and Promoting Health
    • Authors: Paiva, J.C.D.L.; Dias-Trindade, S.; Gonzalez, M.O.A.; Barbalho, I.M.P.; Valentim, R.A.D.M.
    • Year: 2022
    • Citations: 2
  8. Environmental Licensing for Offshore Wind Farms: Guidelines and Policy Implications for New Markets
    • Authors: Vasconcelos, R.M.D.; Silva, L.L.C.; González, M.O.A.; Santiso, A.M.; de Melo, D.C.
    • Year: 2022
    • Citations: 13
  9. A Review on Organic Photovoltaic Cell
    • Authors: Sampaio, P.G.V.; González, M.O.A.
    • Year: 2022
    • Citations: 28
  10. Contact Points Between Lean Six Sigma and Industry 4.0: A Systematic Review and Conceptual Framework
    • Authors: Sordan, J.E.; Oprime, P.C.; Pimenta, M.L.; Silva, S.L.; González, M.O.A.
    • Year: 2022
    • Citations: 31