Masoud Alilou | Engineering | Best Researcher Award

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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

Macdex Mutema | Engineering | Excellence in Research Award

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Dr. Macdex Mutema | Engineering | Excellence in Research Award

Senior Research Engineer from Agricultural Research Council, South Africa

Dr. Macdex Mutema is an accomplished water resources scientist with extensive experience in surface water hydrology, irrigation systems, soil and water conservation, and climate-smart agriculture. His career spans over two decades, encompassing roles in research, academia, program management, and technical engineering. Currently a Senior Researcher at the Agricultural Research Council in South Africa, Dr. Mutema is recognized for his leadership in national and international projects addressing irrigation efficiency, sustainable land management, and agricultural resilience. He has served as a mentor and supervisor to postgraduate students, while simultaneously lecturing at the University of Venda. Dr. Mutema has reviewed numerous academic papers for leading journals and examined advanced theses, reflecting his respected status within the academic and professional community. He holds professional affiliations with SACNASP and SABI, reinforcing his credibility and commitment to scientific advancement. His research activities are complemented by his ability to translate knowledge into practical applications for farming communities and stakeholders. With a strong background in both the technical and socio-environmental aspects of water resource engineering, Dr. Mutema’s contributions stand out in terms of impact, sustainability, and innovation. He is a suitable candidate for recognition in excellence in research, particularly in fields related to environmental sustainability and agricultural water management.

Professional Profile

Education

Dr. Macdex Mutema’s educational journey reflects a focused trajectory in agricultural engineering, soil science, and hydrology. He earned his PhD in Hydrology from the University of KwaZulu-Natal, South Africa, between 2012 and 2016. His doctoral studies provided a robust foundation in hydrological modeling, water resource management, and applied environmental research. Prior to this, he completed a Master of Science in Soil and Environmental Management at the University of Zimbabwe (2007–2010), equipping him with analytical and field-based knowledge essential for tackling soil degradation and water conservation issues. His undergraduate training includes a Bachelor of Science Honors Degree in Agricultural Engineering from the University of Zimbabwe (1994–1997), where he developed the engineering and technical skills foundational to his long-term career in irrigation, hydrology, and land management. In addition to formal academic qualifications, Dr. Mutema has continuously enhanced his expertise through specialized short courses. These include training in advanced irrigation design, outcomes-based education, moderation, and facilitation skills—all of which contribute to his effectiveness in both research and pedagogy. His educational background is multidisciplinary, combining engineering, environmental science, and hydrology, and aligns seamlessly with his professional focus on sustainable water use and climate-resilient agricultural systems.

Professional Experience

Dr. Macdex Mutema possesses an impressive and diverse professional history in research, academia, and development sectors. Since 2017, he has served as a Senior Researcher at the Agricultural Research Council-Institute for Agricultural Engineering in South Africa. His core responsibilities include research on irrigation systems, soil and water management, environmental protection, and training module development. He also mentors postgraduate students and contributes to policy-relevant project proposals. Concurrently, Dr. Mutema has worked as a part-time Senior Lecturer at the University of Venda since 2018, where he teaches engineering science courses and supervises both undergraduate and postgraduate research. From 2015 to 2017, he was a Postdoctoral Research Fellow at the Centre for Water Resources Research, University of KwaZulu-Natal, where he focused on soil, water, and nutrient fluxes. He also has significant experience in NGO sectors, having held key technical and managerial roles in organizations like CADS Trust, VeCO Zimbabwe, and CoopIBO Zimbabwe. These roles involved irrigation design, natural resource management, project leadership, and community engagement. His early academic career includes lectureships at the University of Zimbabwe. With over two decades of multidisciplinary experience, Dr. Mutema bridges applied research, academic training, and practical implementation across southern Africa.

Research Interests

Dr. Macdex Mutema’s research interests span a wide spectrum of interconnected fields in water resources and environmental sustainability. His primary focus is on surface water hydrology, agricultural water use, irrigation technologies, and soil and water conservation engineering. He is particularly passionate about optimizing irrigation systems for both smallholder and commercial farms to enhance water use efficiency and crop productivity. A significant portion of his work is dedicated to climate-smart agriculture, including rainwater harvesting and adaptive water management strategies tailored for semi-arid regions. His research also addresses the broader challenges of sustainable land management and ecosystem services restoration in degraded landscapes. As global environmental concerns intensify, Dr. Mutema has engaged in interdisciplinary work that bridges hydrology with policy, education, and community-based development. His commitment to applied solutions is evident in his project leadership, which translates scientific findings into practical interventions. His interests are also aligned with the evolving needs of African agriculture in the face of climate change, where water scarcity and soil degradation remain pressing issues. Dr. Mutema’s work contributes both to academic knowledge and to tangible improvements in resource management, making his research interests highly relevant to regional and international development agendas.

Research Skills

Dr. Macdex Mutema possesses a robust skill set that spans theoretical modeling, field-based research, academic supervision, and project implementation in the realm of water and environmental sciences. His technical expertise includes advanced irrigation system design, surface water analysis, soil-water interactions, and conservation engineering. He is skilled in hydrological modeling and has experience working with GIS-based tools to map water usage and inform sustainable land-use practices. As a research leader, he is adept at securing competitive funding and managing large-scale, multi-year projects, evidenced by his coordination of programs funded by agencies like the UNDP/GEF and the South African Water Research Commission. Dr. Mutema is also highly experienced in scientific writing, peer review, and thesis examination. His communication and facilitation skills, bolstered by formal training, enable him to effectively mentor students and engage stakeholders. Furthermore, he has strong pedagogical abilities, having taught at both undergraduate and postgraduate levels. He excels at integrating interdisciplinary approaches to address complex agricultural and hydrological challenges. His ability to translate technical findings into actionable strategies for farmers and policy-makers underscores the applied strength of his research skills. These competencies make him a valuable asset in both academic and development contexts.

Awards and Honors

While Dr. Macdex Mutema’s portfolio does not explicitly list formal awards or honors, his body of work and professional affiliations reflect substantial peer recognition and leadership in his field. His inclusion as a thesis examiner for PhD and MSc candidates, as well as his role as a reviewer for over a dozen respected journals such as Hydrology and Earth System Sciences, Journal of Hydrology, and Geoderma, demonstrates the high regard in which his scholarly judgment is held. His registered professional scientist status with SACNASP and membership in the South African Irrigation Institute (SABI) further validate his professional standing. Notably, Dr. Mutema has successfully led and contributed to high-impact research projects funded by prominent national and international agencies—including the Department of Agriculture, Land Reform and Rural Development, the Water Research Commission, and the UNDP—indicating trust in his leadership and scientific acumen. His ongoing engagement in research, teaching, and consultancy highlights his dynamic contribution to science and development. Although not formally titled as awards, these milestones collectively serve as honors and indicators of excellence within the academic and research communities in South Africa and beyond.

Conclusion

Dr. Macdex Mutema stands out as a leading researcher and practitioner in the fields of water resource management, irrigation engineering, and environmental sustainability. With over 25 years of experience spanning academia, applied research, and international development, he brings a unique blend of technical, educational, and managerial skills. His contributions are evident in the successful implementation of nationally funded projects, postgraduate mentorship, and peer-reviewed publications. He is also actively engaged in training and capacity building, reflecting a commitment to both knowledge generation and dissemination. While a more detailed publication record and international engagement could further enhance his academic profile, his proven impact on practical agricultural and environmental challenges remains undeniable. Dr. Mutema’s ability to bridge the gap between science and real-world application makes him a valuable asset to both research institutions and policy-making bodies. His work aligns closely with the objectives of the Excellence in Research Award, which recognizes individuals who demonstrate innovation, leadership, and meaningful societal impact through research. Given his record of achievement, Dr. Mutema is a strong and deserving candidate for this award, representing excellence in both the advancement of science and its application for sustainable development.

Publications Top Notes

  1. Title: A Study on the Difference Between the Green Coverage and the Green Evaluation Captured from the Impressive Landscape
    Authors: Mamiko Numata
    Year: 2022

  2. Title: A Study on the Consistency of the Plan of the Area Around the Wards Boundary to Improve the Wooden Densely-Built Urban Area
    Authors:Year : 2021Sakiko Hamada; Norihiro Nakai; Mamiko Numata; Kei Sakamura
    Year: 2021

  3. Title:Authors : Hayato Ihara ; Norihiro Nakai ; Mamiko Numata ; Kei SakamuraA Study on the Making of Flood Risk Reduction Measures of Cities Damaged by Floods
    Authors: Hayato Ihara; Norihiro Nakai; Mamiko Numata; Kei Sakamura Year
    :

  4. Title: Study of the Division of Functions Among Urban Centers and Their Changes in Cities with Two Urban Centers
    Authors: Yasuki Tsuchiya; Norihiro Nakai; Mamiko Numata; Kei Sakamura
    Year: 2021

  5. Title: A Study of the Effects of Buildings on the Surroundings Environment of Flagpole-Shaped Sites
    Authors: Mamiko Numata; Norihiro Nakai
    – The Best Of Norihiro Nakai

  6. Title: A Study on the Land Use Changes After Large Factory Closure
    Authors: Yasuki Tsuchiya; Norihiro Nakai; Mamiko Numata
    Year: 2019

  7. Title: [Title Not Provided — based on DOI: 10.11361/journalcpij.57.569]
    Authors: On Takasaki; Norihiro Nakai; Mamiko Numata; Kei Sakamura
    Year: Not explicitly listed (likely 2023 or 2024 based on DOI numbering sequence)

Atiqur Rahman | Engineering | Best Researcher Award

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Mr. Atiqur Rahman | Engineering | Best Researcher Award

PhD Researcher from University of Bolton, United Kingdom

Md Atiqur Rahman is a passionate aerospace engineering professional with a rich background in both academia and research. Currently serving as an Engineering Lecturer at Blackpool & The Fylde College in the UK, he also pursues a Ph.D. at the University of Bolton, focusing on sustainable composite materials for aerospace applications. With over nine years of experience in aeronautical education, his expertise spans curriculum development, student mentorship, assessment, and instructional leadership. He has taught at multiple institutions including Preston College, University of Bolton, and Cambrian International College of Aviation. His research is deeply rooted in innovation, particularly in the area of natural fiber-reinforced composites, with a specific emphasis on Borassus flabellifer (palmyra palm) husk fibers. Rahman has published six research articles and actively participates in academic conferences and seminars. Known for his technical abilities and practical knowledge, he integrates tools like Ansys, SolidWorks, and Matlab in both research and teaching. Awarded Best Lecturer in 2022 and a mentor to an award-winning student in 2021, he exemplifies academic dedication. Md Rahman is committed to advancing aerospace engineering through sustainable innovations while nurturing student growth in higher education. His profile reflects a balance of scholarly excellence, practical engineering acumen, and a deep commitment to teaching.

Professional Profile

Education

Md Atiqur Rahman has pursued a solid academic trajectory in aerospace and mechanical engineering. He is currently enrolled in a Ph.D. program at the University of Bolton, United Kingdom, where his research centers on the development of natural fiber-based composite materials for aerospace applications. This research is both timely and impactful, aligning with global movements toward sustainable aviation technology. Concurrently, he completed a Master of Philosophy (MPhil R2) in Mechanical Engineering at the same institution between July 2022 and November 2024, further sharpening his expertise in advanced material science and structural mechanics. His academic foundation began with a Bachelor of Engineering (Honours) degree in Aerospace Engineering from the University of Hertfordshire, UK, which he completed in 2012. The rigorous curriculum provided him with strong fundamentals in aerodynamics, propulsion systems, and aerospace structures. Throughout his educational journey, Md Rahman has consistently demonstrated academic excellence, integrating theory with hands-on research and software simulation. His academic path underscores a clear focus on applied engineering, sustainability, and innovation. This robust combination of qualifications positions him well for continued leadership in both academia and the aerospace research community, particularly in the development and application of bio-composites and eco-friendly engineering solutions.

Professional Experience

Md Atiqur Rahman has accumulated a diverse and extensive professional background in engineering education, spanning over nine years across the UK and Bangladesh. He currently serves as an Engineering Lecturer at Blackpool & The Fylde College, where he teaches and manages students up to Level 6, designs course materials, assesses learners, and supports curriculum alignment with Lancaster University and employer standards. Previously, he worked at Preston College, teaching aeronautical engineering to students in BTEC Pearson, City & Guilds, and EAL programs. At the University of Bolton, he served as a variable-hours lecturer, contributing to module delivery, exam preparation, and student guidance. In Bangladesh, Rahman held academic and leadership roles at Cambrian International College of Aviation and United College of Aviation, Science & Management. At Cambrian, he also acted as Internal Quality Assurer (IQA), leading BTEC curriculum development and internal training for faculty. Across all institutions, he has shown excellence in teaching, curriculum design, academic support, and student engagement. His ability to adapt his instruction based on learner capabilities has significantly enhanced academic outcomes. Rahman’s teaching is enriched by his research pursuits and practical skills, creating a well-rounded, impactful educational approach that bridges theory, practice, and innovation.

Research Interests

Md Atiqur Rahman’s research interests are centered around sustainable and advanced materials for aerospace applications. His current Ph.D. work at the University of Bolton explores the development and characterization of natural fiber-reinforced polymer composites, with a particular focus on Borassus flabellifer (palmyra palm) husk fibers. He investigates their physical, thermal, mechanical, and dynamic properties to evaluate their viability as lightweight, eco-friendly alternatives to traditional aerospace materials. His broader research interest encompasses aerodynamics, structural mechanics, hypersonic flight technologies, and bio-composite development. By aligning material science with aerospace engineering, Rahman seeks to address the increasing demand for sustainability in aviation. He is particularly drawn to the lifecycle assessment of natural fibers and their transformation through alkali treatments, aiming to enhance their bonding, thermal stability, and mechanical resilience. His work has practical implications for aircraft manufacturing, structural component design, and green engineering practices. He also maintains an interest in the pedagogical methods for engineering education and how research can be translated into real-world classroom application. This multi-dimensional research approach not only contributes to the scientific community but also supports the global push for environmentally responsible aerospace solutions through academic innovation and practical application.

Research Skills

Md Atiqur Rahman possesses a well-rounded and technically proficient set of research skills that support his specialization in material science and aerospace engineering. He is highly skilled in experimental research methodologies, particularly in characterizing bio-composite materials. His hands-on expertise includes the use of advanced lab instruments such as TA Instruments (TGA, DSC, DMA) for thermal analysis, Instron for tensile and flexural testing, and FTIR spectroscopy for chemical characterization. He is also proficient in density and water uptake measurements using pycnometers and ovens, and in the preparation of composite materials through hand lay-up techniques. Rahman complements his experimental skills with strong computational abilities, using tools like Ansys for finite element analysis, SolidWorks and Fusion 360 for design modeling, and Matlab for mathematical modeling and simulations. He applies these tools to optimize material properties and validate experimental outcomes. In addition, he demonstrates strong academic writing and data interpretation skills, having authored several scientific articles. His research workflow also reflects a robust understanding of ethics, literature review, statistical analysis, and research dissemination. These combined skills allow him to carry out comprehensive investigations in aerospace material development and communicate findings effectively to both academic and industry audiences.

Awards and Honors

Md Atiqur Rahman has earned notable recognition for his excellence in both teaching and research throughout his academic career. One of his most distinguished accolades is the Best Lecturer Award (2022) from Cambrian International College of Aviation, a testament to his commitment to student engagement, curriculum innovation, and instructional excellence. His mentorship has also yielded impressive results—most notably when one of his students was selected for the BTEC Award (2021) and received the Bronze Certificate for Engineering Learner of the Year, highlighting his ability to inspire and guide learners toward excellence. In addition to institutional recognition, Rahman is affiliated with several prestigious professional bodies, including the Royal Aeronautical Society (RAeS), The Institution of Structural Engineers (IStructE), and the American Society of Civil Engineers (ASCE). His active involvement in these societies, coupled with his participation in high-profile events like the RAeS Aerodynamics Specialist Conference and Government HE Events, showcases his commitment to lifelong learning and professional development. These honors and memberships not only validate his academic contributions but also underscore his rising influence as an educator and researcher in aerospace engineering, particularly in the field of sustainable materials and advanced manufacturing technologies.

Conclusion

Md Atiqur Rahman stands as a dynamic and impactful figure in the realms of aerospace education and research. His journey—from a dedicated lecturer to an innovative Ph.D. researcher—demonstrates a rare blend of academic rigor, teaching excellence, and research innovation. His work on natural fiber-based composites is not only scientifically significant but also timely, addressing pressing environmental challenges within aerospace engineering. With a growing list of publications, conference presentations, and teaching awards, Rahman has established himself as a promising academic professional committed to excellence. His ability to bridge the gap between research and education ensures that his findings contribute directly to student learning and industry advancement. His diverse teaching experiences across different academic systems further enhance his instructional agility and global outlook. As he continues to expand his research collaborations, aim for high-impact journals, and pursue research leadership roles, his contributions will undoubtedly strengthen the field of sustainable aviation and engineering education. Md Atiqur Rahman is a deserving candidate for recognition such as the Best Researcher Award, with strong potential for continued academic and research leadership. His trajectory reflects both deep expertise and future promise in advancing environmentally responsible technologies within aerospace engineering.

Publications Top Notes

  1. Title: Palmyra Palm Shell (Borassus flabellifer) Properties Part 2: Insights into Its Thermal and Mechanical Properties
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2024
    Citations: 3

  2. Title: Palmyra Palm Shell (Borassus flabellifer) Properties Part 1: Insights into Its Physical and Chemical Properties
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski
    Year: 2024
    Citations: 3

  3. Title: Effect of Alkali Treatment on Dynamic Mechanical Properties of Borassus Flabellifer Husk Fibre Reinforced Epoxy Composites
    Authors: M.A. Rahman, Mamadou Ndiaye, Bartosz Weclawski, et al.
    Year: 2025
    Citations: 2

  4. Title: Palmyra Palm Shell (Borassus flabellifer) Properties Part 3: Insights into Its Morphological, Chemical and Thermal Properties after Alkali Treatment
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2024
    Citations: 2

  5. Title: Optimizing Borassus Husk Fibre/Epoxy Composites: A Study on Physical, Thermal, Flexural and Dynamic Mechanical Performance
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2025
    Citations: 1

  6. Title: Enhancing Thermal and Dynamic Mechanical Properties of Lignocellulosic Borassus Husk Fibre/Epoxy Composites through Alkali Treatment
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2025

Safdar Ali Amur | Chemical Engineering | Best Researcher Award

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Mr. Safdar Ali Amur | Chemical Engineering | Best Researcher Award

Beijing University of Chemical Technology, China

Safdar Ali Amur is a dedicated researcher in the fields of chemical engineering, biochemistry, and microbiology. With a strong academic foundation and international research exposure, he has contributed significantly to biomedical applications, focusing on metal-organic frameworks for antibacterial applications. He is currently pursuing a Ph.D. in Chemical Engineering & Technology at Beijing University of Chemical Technology, China. His expertise spans analytical chemistry, molecular modeling, and microbiological testing, making him a valuable contributor to scientific advancements. In addition to his research pursuits, he has experience in teaching, administrative roles, and laboratory management. His technical proficiency includes advanced scientific software and instrumentation techniques, supporting his innovative approach to scientific inquiries. With multiple research publications indexed in Google Scholar, ORCID, and Web of Science, Safdar demonstrates an ongoing commitment to expanding knowledge in his field. His background in biochemistry, microbiology, and vaccine supply management through WHO also highlights his ability to work in interdisciplinary research environments. Despite his achievements, he continues to seek opportunities for collaborative research and professional growth. His aspirations include furthering biomedical applications through nanotechnology-based innovations, aiming to bridge fundamental research with practical applications in healthcare and industry.

Professional Profile

Education

Safdar Ali Amur has pursued a rigorous academic journey that reflects his dedication to research and scientific exploration. Currently, he is a Ph.D. candidate in Chemical Engineering & Technology at Beijing University of Chemical Technology, China, where he is working on bioactive material encapsulation for antibacterial applications. His Ph.D. research integrates chemical sciences, biochemistry, and biomedical engineering, showcasing interdisciplinary expertise. Before his doctoral studies, he earned a Master of Philosophy (M.Phil.) in Biochemistry from the University of Sindh, Pakistan. His thesis focused on epidemiology and serum lipid alterations in laryngeal and pharyngeal cancer patients, contributing to understanding cancer biomarkers. His bachelor’s degree in Biochemistry, also from the University of Sindh, provided him with a solid foundation in biological sciences, chemistry, and analytical techniques. In addition to formal education, he has completed various certifications and internships, including analytical instrumentation training at the Pakistan Council of Scientific & Industrial Research. His training in nutritional sciences, microbiology, and scientific software applications further complements his academic profile. With strong academic credentials and diverse scientific training, he continues to develop innovative solutions in chemical and biological research, contributing to both fundamental and applied sciences.

Professional Experience

Safdar Ali Amur has gained multifaceted professional experience, contributing to both academia and industry. His expertise extends from microbiological testing and vaccine supply management to teaching and administrative roles. He worked as a microbiology tester for fish food, ensuring the quality and safety of food products through microbial analysis and test reporting. Additionally, he has been actively involved in maintaining scientific records and laboratory documentation. In academia, he served as a Biology & Chemistry Subject Teacher at Mehran Skills Development Centre, where he taught core scientific subjects and managed laboratory operations. His role in education strengthened his ability to mentor students and conduct scientific demonstrations. Beyond research and teaching, he worked as an Administrative Support Person for WHO, playing a key role in team monitoring, vaccine supply distribution, and daily documentation of immunization programs. His contributions to vaccine management reflect his ability to work in global health initiatives. Currently, as a Ph.D. researcher, he continues to contribute to cutting-edge research in chemical and biological sciences, aiming to develop advanced biomedical materials with enhanced antibacterial properties. His diverse experience makes him a valuable asset in both research and applied scientific fields.

Research Interests

Safdar Ali Amur’s research interests revolve around chemical engineering, biochemistry, nanotechnology, and biomedical applications. His current focus is on metal-organic frameworks (MOFs) for drug delivery and antibacterial applications, an area that has significant potential in pharmaceutical and medical industries. His previous research explored cancer biomarkers and serum lipid alterations in laryngeal and pharyngeal cancer patients, providing valuable insights into disease progression and risk factors. His work in analytical instrumentation, hematology, and lipid profiling aligns with his passion for disease diagnostics and biomolecular interactions. Beyond disease studies, he has a strong interest in microbiology, food safety, and vaccine technology. His work in microbiological testing of food and his administrative role in WHO’s vaccine supply chain reflect his contributions to public health and safety. In the future, he aims to explore advanced nanomaterials for targeted drug delivery, biosensors, and antimicrobial coatings. His interdisciplinary approach integrates biochemistry, material science, and computational modeling, ensuring practical and impactful contributions to healthcare and industry. His research is driven by the goal of developing innovative, sustainable, and cost-effective biomedical solutions.

Research Skills

Safdar Ali Amur possesses a diverse range of research skills, making him a well-rounded scientist. His expertise includes molecular modeling, analytical instrumentation, microbiological testing, and drug delivery system development. He is proficient in spectrophotometric analysis, chromatography (GC, TLC), and hematology techniques, essential for biochemical and chemical research. His work in metal-organic frameworks (MOFs) has provided him with hands-on experience in nanotechnology-based drug encapsulation and controlled release studies. He is also skilled in computational chemistry and molecular modeling, using software such as Density-functional theory (DFT), ChemDraw, and X’pert Highscore. His technical proficiency extends to scientific illustrations (BioRender), research management tools (EndNote, Mendeley), and plagiarism detection systems (Turnitin). Beyond laboratory skills, he is experienced in team management, scientific documentation, and teaching methodologies. His role in microbiology testing, vaccine supply chain management, and cancer biomarker research further enriches his research expertise. His ability to integrate analytical techniques, biomedical engineering, and public health applications positions him as a leading researcher in chemical and biological sciences.

Awards and Honors

Safdar Ali Amur has received various academic and professional recognitions for his contributions to research and scientific innovation. He has been acknowledged for his participation in the Anatomical Art Gallery of BSN-Generic (2021-2022), showcasing his involvement in biomedical visualization and anatomical studies. He also earned a Starter Nutrition Course certification from The Health Sciences Academy (UK), emphasizing his expertise in health sciences and nutrition. His academic internship certificate from the Pakistan Council of Scientific & Industrial Research (PCSIR) highlights his training in analytical techniques, chromatography, and pharmaceutical testing. This early exposure to industrial and academic research laid the foundation for his expertise in biological and chemical sciences. Throughout his career, he has actively participated in research collaborations, scientific conferences, and training programs, gaining international recognition for his work. His research contributions in cancer biomarkers, antimicrobial materials, and biochemical applications continue to enhance his academic and professional reputation.

Conclusion

Safdar Ali Amur is an accomplished researcher, educator, and scientist with a strong background in biochemistry, chemical engineering, and microbiology. His research spans drug delivery systems, cancer biomarkers, food safety, and vaccine distribution, reflecting his interdisciplinary expertise. His academic journey, from M.Phil. in Biochemistry to a Ph.D. in Chemical Engineering & Technology, demonstrates his dedication to advancing scientific knowledge. His proficiency in analytical techniques, computational modeling, and biomedical applications has made him a valuable contributor to global research initiatives. Despite his achievements, he continues to seek opportunities for collaborative research, industry partnerships, and technological innovation. His aspiration is to develop advanced nanomaterials for biomedical applications, bridging the gap between fundamental research and real-world solutions. With an impressive track record of academic excellence, professional experience, and technical skills, Safdar Ali Amur stands as a leading candidate for research awards and scientific recognition. His contributions will continue to shape the future of biomedical science and nanotechnology-based solutions.

Publications Top Notes

  1. Title: Natural drug physcion encapsulated zeolitic imidazolate framework, and their application as antimicrobial agent
    Authors: NA Soomro, Q Wu, SA Amur, H Liang, AU Rahman, Q Yuan, Y Wei
    Year: 2019
    Citations: 81

  2. Title: Encapsulation of natural drug gentiopicroside into zinc based Zeolitic Imidazolate Frameworks (ZIF-8): In-vitro drug release and improved antibacterial activity
    Authors: SA Amur, NA Soomro, Q Khuhro, Y Wei, H Liang, Q Yuan
    Year: 2023
    Citations: 17

  3. Title: A new and effective evaluation method for Radix Gentianae Macrophyllae herbs based on 2‐phenylethyl β‐d‐glucopyranoside, 2‐methoxyanofinic acid and …
    Authors: H Liu, H Zhao, R Huang, AS Ali, X Wang, S Meng, G Chen
    Year: 2021
    Citations: 6

  4. Title: Facile Grafting of Silver Nanoparticles into Copper and Guanosine 5′-Monophosphate Metal Organic Frameworks (AgNPs@ Cu/GMP): Characterization and Antimicrobial Activity
    Authors: NA Soomro, SA Amur, Y Wei, AH Shah, M Jiao, H Liang, Q Yuan
    Year: 2021
    Citations: 4

  5. Title: Synthesis, Characterization, Density Functional Theory Study, Antibacterial Activity and Molecular Docking of Zeolitic Imidazolate Framework‐8
    Authors: SA Amur, BP Sharma, NA Soomro, Q Khuhro, M Tariq, H Liang, M Kazi, …
    Year: 2025
    Citations: 3

  6. Title: Endogenous crude Scutellaria baicalensis polysaccharide robustly enhances one-pot extraction and deglycosylation of baicalin
    Authors: Y Yan, SA Amur, H Liu, R Shen, H Sun, Y Pei, C Guo, H Liang
    Year: 2024
    Citations: 3

  7. Title: Risk factors for oral cancer disease in Hyderabad and adjoining areas of Sindh, Pakistan
    Authors: MH Mugheri, NA Channa, SA Amur, Q Khuhro, NA Soomro, M Paras, …
    Year: 2018
    Citations: 3

  8. Title: Factors associated with delinquent behaviour of inmates at Naara jail Hyderabad, Pakistan
    Authors: NA Soomro, NA Channa, SA Amur, MH Mugheri, M Paras, Q Khuhro
    Year: 2016
    Citations: 2

  9. Title: Incidence of Cancer at Liaquat University of Medical and Health Sciences Hospital, Jamshoro from 2010-2016: A retrospective study
    Authors: MH Mugheri, SA Amur, NA Channa, NA Soomro, Q Khuhro, M Paras
    Year: 2019
    Citations: 1

  10. Title: Serum lipids coupled with menopausal status may be used as biomarkers in female gallstones patients
    Authors: YA Awan, AN Channa, N Tabassum, DA Solangi, MH Mugheri, SA Amur
    Year: 2017
    Citations: 1

  11. Title: Incidence of laryngeal and pharyngeal cancer at Liaquat University Hospital, Jamshoro, Pakistan
    Authors: SA Amur, NA Channa, NA Soomro, MH Mugheri, F Memon, Q Khuhro, …
    Year: 2017
    Citations: 1

 

Phani Monogya Katikireddi | Engineering | Best Innovator Award

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Mr. Phani Monogya Katikireddi | Engineering | Best Innovator Award

Cloud AI/ML Devops Engineer from USDA, United States

Phani Monogya Katikireddi is a highly accomplished IT professional with over 9.5 years of experience in Cloud AI/ML, DevOps Engineering, Full Stack Development, and Software Engineering. He specializes in integrating AI/ML technologies with scalable cloud infrastructure to develop innovative solutions that enhance business operations. His expertise spans automating workflows, designing robust CI/CD pipelines, and optimizing development lifecycles. In addition to his technical contributions, he has made significant research advancements, publishing multiple papers on AI/ML and DevOps, authoring a book on AI/ML, and securing two patents for innovative solutions. As a recognized thought leader, he serves on the editorial boards of esteemed journals, contributing to the evolution of AI/ML research. His ability to bridge the gap between research and real-world applications positions him as a leading innovator in the field.

Professional Profile

Education

Phani Monogya Katikireddi holds a strong academic background in computer science and engineering. His education has provided him with a solid foundation in AI/ML, cloud computing, and software development. Through continuous learning and advanced coursework, he has honed his expertise in machine learning, neural networks, and DevOps methodologies. His academic journey has been instrumental in shaping his innovative approach to integrating AI/ML with DevOps.

Professional Experience

With nearly a decade of experience, Phani has worked in various roles, including Cloud AI/ML DevOps Engineer and Full Stack Developer. His work has focused on designing AI-driven solutions, automating software delivery processes, and enhancing system reliability. His contributions to cloud-native architectures and intelligent automation have improved the efficiency and scalability of enterprise applications. His technical leadership and problem-solving skills have played a pivotal role in driving innovation in the IT industry.

Research Interest

Phani’s research interests lie in AI/ML, deep learning, DevOps automation, and cloud computing. He is particularly focused on integrating AI with DevOps to enhance software development and deployment processes. His work explores predictive modeling, machine learning pipeline automation, and the impact of AI on system performance and scalability. His research aims to bridge the gap between theoretical advancements and real-world applications in enterprise IT.

Research Skills

Phani possesses strong research skills, including AI/ML algorithm development, neural network optimization, cloud infrastructure management, and DevOps automation. He is adept at conducting experimental research, data analysis, and model validation. His ability to translate research findings into practical solutions has contributed to advancements in AI-driven automation. He also has experience in publishing research papers and collaborating with industry experts to push the boundaries of AI/ML and DevOps.

Awards and Honors

Phani has received notable recognition for his contributions to AI/ML and DevOps. He holds two patents for AI/ML innovations and has authored a well-regarded book on the subject. His research papers have been published in prestigious journals, and he actively participates as an editorial board member. His expertise and contributions to the field have positioned him as a distinguished professional and innovator.

Conclusion

Phani Monogya Katikireddi is a visionary IT professional with a passion for innovation in AI/ML and DevOps. His extensive experience, research contributions, and technical expertise make him a strong candidate for recognition as a leading innovator in the field. His ability to merge academic research with practical applications has had a profound impact on software development and cloud computing. His dedication to advancing AI/ML and DevOps positions him as a key contributor to technological progress and industry transformation.

Publications Top Notes

  1. Revolutionizing DEVOPS with Quantum Computing: Accelerating CI/CD pipelines through Advanced Computational Techniques

    • Authors: PM Katikireddi, P Singirikonda, Y Vasa

    • Year: 2021

  2. Music and Art Generation Using Generative AI

    • Authors: S Jaini, PM Katikireddi

    • Year: 2022

  3. Applications of Generative AI in Healthcare

    • Authors: S Jaini, PM Katikireddi

    • Year: 2022

  4. In Generative AI: Zero-Shot and Few-Shot

    • Authors: PM Katikireddi, S Jaini

    • Year: 2022

 

Geraldine Merle | Chemical Engineering | Best Researcher Award

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Prof. Geraldine Merle | Chemical Engineering | Best Researcher Award

Professor from Polytechnique Montreal, Canada

Dr. Geraldine Merle is a distinguished researcher and academic with extensive expertise in her field. Over the years, she has contributed significantly to advancing knowledge through groundbreaking research, innovative methodologies, and dedicated teaching. She has worked in prestigious institutions and collaborated with various researchers to develop impactful solutions. Her research spans multiple disciplines, demonstrating her ability to integrate interdisciplinary approaches to address complex challenges. Dr. Merle is known for her strong leadership, mentorship, and commitment to academic excellence. Through her publications, lectures, and research projects, she continues to influence her field and inspire future scholars. She has received numerous accolades for her work and remains dedicated to pushing the boundaries of scientific discovery.

Professional Profile

Education

Dr. Geraldine Merle holds an impressive academic background, earning degrees from top-tier universities. She completed her undergraduate studies with outstanding performance, followed by a master’s degree where she specialized in advanced research methodologies. Her doctoral studies focused on a groundbreaking topic that contributed to the academic community. She has also pursued postdoctoral research at leading institutions, refining her expertise in specialized areas. Additionally, she has participated in various professional development programs and workshops to stay updated with the latest advancements in her field. Her academic journey showcases her dedication to lifelong learning and scholarly excellence.

Professional Experience

With a wealth of experience in academia and industry, Dr. Geraldine Merle has held several influential positions. She has served as a professor, researcher, and consultant in various esteemed organizations. Her teaching experience includes mentoring undergraduate and graduate students, developing curricula, and leading research projects. In addition, she has worked with government and private institutions on collaborative research initiatives aimed at solving real-world problems. Her contributions extend to editorial boards, advisory committees, and conference panels, highlighting her active role in shaping the future of her discipline. Her professional journey reflects a balance between research, teaching, and leadership.

Research Interests

Dr. Geraldine Merle’s research interests encompass a wide range of topics within her field. She is particularly passionate about exploring emerging trends, developing innovative solutions, and applying interdisciplinary approaches to problem-solving. Her work has addressed pressing societal issues, leveraging data-driven methods and cutting-edge technologies. Additionally, she is interested in policy implications, ethics, and the societal impact of research. She collaborates with scholars from different backgrounds to enhance the depth and breadth of her studies. Her research interests continue to evolve, reflecting her adaptability and curiosity in an ever-changing academic landscape.

Research Skills

Dr. Geraldine Merle possesses a robust set of research skills that make her a leader in her field. She is proficient in data analysis, experimental design, and qualitative and quantitative research methodologies. Her expertise extends to statistical modeling, software applications, and advanced laboratory techniques. She has a strong ability to synthesize complex information, write compelling research papers, and present findings at conferences. Additionally, she has experience securing research grants and managing large-scale projects. Her collaborative approach and problem-solving skills have contributed to numerous successful research endeavors. These skills have been instrumental in her contributions to academia and industry.

Awards and Honors

Dr. Geraldine Merle has received numerous awards and honors in recognition of her contributions to research and academia. Her accolades include prestigious research fellowships, best paper awards, and distinguished teaching recognitions. She has been invited as a keynote speaker at international conferences, further solidifying her reputation as an expert in her field. Her work has been acknowledged by professional organizations and funding agencies, reflecting her influence and impact. Additionally, she has received grants and scholarships that have enabled her to pursue high-impact research. Her dedication and achievements continue to inspire students, colleagues, and aspiring researchers.

Conclusion

Dr. Geraldine Merle’s career is a testament to her dedication, innovation, and passion for research and education. With a strong academic foundation, extensive professional experience, and a commitment to knowledge advancement, she has made significant contributions to her field. Her research interests and skills demonstrate her ability to address complex challenges and provide valuable insights. The numerous awards and honors she has received highlight the impact of her work. As she continues her journey, she remains committed to fostering intellectual growth, mentoring future scholars, and shaping the future of research. Dr. Merle’s contributions leave a lasting legacy in academia and beyond.

Publications Top Notes

  1. Anion exchange membranes for alkaline fuel cells: A review

    • Authors: G Merle, M Wessling, K Nijmeijer

    • Year: 2011

    • Citations: 2057

  2. New cross-linked PVA based polymer electrolyte membranes for alkaline fuel cells

    • Authors: G Merle, SS Hosseiny, M Wessling, K Nijmeijer

    • Year: 2012

    • Citations: 159

  3. Ionic liquid doped polybenzimidazole membranes for high temperature Proton Exchange Membrane fuel cell applications

    • Authors: E van de Ven, A Chairuna, G Merle, SP Benito, Z Borneman, K Nijmeijer

    • Year: 2013

    • Citations: 157

  4. In vitro degradation and in vivo resorption of dicalcium phosphate cement based grafts

    • Authors: Z Sheikh, YL Zhang, L Grover, GE Merle, F Tamimi, J Barralet

    • Year: 2015

    • Citations: 122

  5. Concentric glucose/O2 biofuel cell

    • Authors: A Habrioux, G Merle, K Servat, KB Kokoh, C Innocent, M Cretin, S Tingry

    • Year: 2008

    • Citations: 98

  6. Top-down bottom-up graphene synthesis

    • Authors: Z Zhang, A Fraser, S Ye, G Merle, J Barralet

    • Year: 2019

    • Citations: 82

  7. Hydrocaffeic acid–chitosan nanoparticles with enhanced stability, mucoadhesion and permeation properties

    • Authors: GM Soliman, YL Zhang, G Merle, M Cerruti, J Barralet

    • Year: 2014

    • Citations: 81

  8. Simulation of a full fuel cell membrane electrode assembly using pore network modeling

    • Authors: M Aghighi, MA Hoeh, W Lehnert, G Merle, J Gostick

    • Year: 2016

    • Citations: 71

  9. Exploring the impact of electrode microstructure on redox flow battery performance using a multiphysics pore network model

    • Authors: MA Sadeghi, M Aganou, M Kok, M Aghighi, G Merle, J Barralet, J Gostick

    • Year: 2019

    • Citations: 69

 

Zahra Kazemi | Mechanical Engineering | Best Researcher Award

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Dr. Zahra Kazemi | Mechanical Engineering | Best Researcher Award

Assistant Professor from Shiraz University of Technology, Iran

Dr. Zahra Kazemi is an Assistant Professor in the Department of Mechanical Engineering at Shiraz University of Technology. She holds a Ph.D. in Mechanical Engineering from Shiraz University and has completed two postdoctoral research fellowships. Her research primarily focuses on advanced manufacturing processes, including Selective Laser Melting (SLM), Laser Powder Bed Fusion (LPBF), and computational modeling for material and load identification. She has published extensively in high-impact journals and has presented her work at various international conferences. Her contributions to numerical simulations and optimization methods have significantly advanced the understanding of defect reduction and material behavior in additive manufacturing. With strong expertise in experimental and computational methods, Dr. Kazemi continues to contribute to the field through interdisciplinary research and collaboration.

Professional Profile

Education

Dr. Kazemi completed her Bachelor’s and Master’s degrees in Mechanical Engineering before earning her Ph.D. from Shiraz University. During her doctoral studies, she specialized in computational modeling and inverse analysis for material behavior prediction. Following her Ph.D., she pursued postdoctoral research, focusing on precision instrumentation design and optimization of advanced manufacturing processes such as SLM. Her academic journey has equipped her with a strong foundation in numerical simulations, experimental validation, and optimization techniques for industrial applications.

Professional Experience

Dr. Kazemi has held academic and research positions in mechanical engineering, focusing on additive manufacturing and numerical modeling. She is currently an Assistant Professor at Shiraz University of Technology, where she teaches undergraduate and graduate courses while conducting advanced research. She has also worked as a postdoctoral researcher, contributing to the development of precision instruments and optimization of laser-based manufacturing techniques. Her professional experience includes supervising research projects, mentoring students, and collaborating with experts in computational mechanics, thermal engineering, and materials science.

Research Interests

Dr. Kazemi’s research interests include additive manufacturing, computational modeling, inverse analysis, and material behavior prediction. She is particularly focused on enhancing the performance of metal structures manufactured using SLM through simulation and experimental validation. Additionally, her work on load and material identification using inverse analysis contributes to the accurate characterization of viscoplastic materials. She is also interested in applying machine learning techniques to optimize manufacturing processes and reduce defects in industrial applications.

Research Skills

Dr. Kazemi possesses strong expertise in numerical simulations, finite element analysis, and computational mechanics. She is proficient in using advanced software tools for modeling and optimization of manufacturing processes. Her skills extend to experimental validation techniques, including thermal and structural analysis of manufactured components. She is also experienced in meshfree analysis methods, load identification techniques, and optimization strategies for material design. With a background in interdisciplinary research, she effectively integrates computational and experimental approaches to improve engineering solutions.

Awards and Honors

Dr. Kazemi has received recognition for her contributions to mechanical engineering through awards and conference presentations. She has been acknowledged for her research excellence in additive manufacturing and material optimization. Her work has been published in leading journals, and she has received invitations to speak at international conferences. She has also been involved in collaborative projects that have been recognized for their impact on manufacturing innovation and computational analysis.

Conclusion

Dr. Zahra Kazemi is a distinguished researcher in mechanical engineering, specializing in additive manufacturing and computational modeling. With a strong academic background, extensive publication record, and expertise in numerical and experimental research, she continues to contribute significantly to her field. Her dedication to advancing manufacturing techniques and material analysis positions her as a valuable asset to the academic and research community. By expanding her collaborations, securing research funding, and further developing industrial applications of her work, she can further enhance her impact in mechanical engineering and beyond.

Publications Top Notes

  1. Title: Melting process of the nano-enhanced phase change material (NePCM) in an optimized design of shell and tube thermal energy storage (TES): Taguchi optimization approach
    Authors: M. Ghalambaz, S.A.M. Mehryan, A. Veismoradi, M. Mahdavi, I. Zahmatkesh, …
    Year: 2021
    Citations: 72

  2. Title: Meshfree radial point interpolation method for analysis of viscoplastic problems
    Authors: Z. Kazemi, M.R. Hematiyan, R. Vaghefi
    Year: 2017
    Citations: 30

  3. Title: Melting pool simulation of 316L samples manufactured by Selective Laser Melting method, comparison with experimental results
    Authors: Z. Kazemi, M. Soleimani, H. Rokhgireh, A. Nayebi
    Year: 2022
    Citations: 25

  4. Title: Optimum configuration of a metal foam layer for a fast thermal charging energy storage unit: a numerical study
    Authors: S.A.M. Mehryan, K.A. Ayoubloo, M. Mahdavi, O. Younis, Z. Kazemi, M. Ghodrat, …
    Year: 2022
    Citations: 18

  5. Title: Load identification for viscoplastic materials with some unknown material parameters
    Authors: Z. Kazemi, M.R. Hematiyan, Y.C. Shiah
    Year: 2019
    Citations: 18

  6. Title: An efficient load identification for viscoplastic materials by an inverse meshfree analysis
    Authors: Z. Kazemi, M.R. Hematiyan, Y.C. Shiah
    Year: 2018
    Citations: 12

  7. Title: Inverse determination of time-dependent loads in viscoplastic deformations using strain measurements in the deformed configuration
    Authors: Z. Kazemi, M.R. Hematiyan
    Year: 2018
    Citations: 4

  8. Title: A Multiobjective Optimization of Laser Powder Bed Fusion Process Parameters to Reduce Defects by Modified Taguchi Method
    Authors: Z. Kazemi, R. Nayebi, A. M. Hojjatollah, M. Soleimani
    Year: 2025

  9. Title: تحلیل کانال پسا برای یک بالانس داخلی تونل باد با در نظر گرفتن قابلیت ساخت‎
    Authors: زهرا کاظمی، محمدحسن منتظری، محمد مهدی علیشاهی‎
    Year: 2024

  10. Title: Residual Stress of 316L Samples Manufactured by Selective Laser Melting Method with Consideration of Evaporation
    Authors: Z. Kazemi, H. Rokhgireh, A. Nayebi
    Year: 2023

  11. Title: Selective Laser Melting Defects: Morphology of Defects Due to Lack of Fusion and Evaporation Pores
    Authors: A.N. Zahra Kazemi, Hojjatollah Rokhgireh
    Year: 2023

  12. Title: Residual Stress of 316L Samples Manufactured by Selective Laser Melting Method with Consideration of Evaporation
    Authors: A.N. Zahra Kazemi, Hojjatollah Rokhgireh
    Year: 2023

  13. Title: The Effect of Process Parameters on the Residual Deformation of 316L Samples Manufactured by Selective Laser Melting Method with Consideration of Evaporation
    Authors: A.N. Zahra Kazemi, Hojjatollah Rokhgireh
    Year: 2023

 

Heba Abdallah | Chemical Engineering | Women Researcher Award

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Prof. Heba Abdallah | Chemical Engineering | Women Researcher Award

Professor at National Research Centre, Egypt

Heba Abdallah Mohamed Abdallah is a distinguished professor of Chemical Engineering at the National Research Centre in Cairo, Egypt. She is a leading consultant engineer specializing in the manufacturing of special membranes for water treatment processes. With over two decades of experience, she has made significant contributions to chemical engineering, particularly in membrane technology, water desalination, and wastewater treatment. Her expertise spans the production of flat sheet, spiral wound, and hollow fiber membranes, as well as catalytic membrane reactors. Heba has played a pivotal role in advancing membrane-based solutions for environmental sustainability and industrial applications. She has participated in numerous international conferences and workshops, showcasing her dedication to continuous learning and knowledge dissemination. As a prolific researcher, she has authored and co-authored several high-impact scientific publications focusing on water purification, photocatalysis, and membrane performance enhancement. Her involvement in prestigious research projects and collaborations with international institutions reflects her global influence in the field. Heba Abdallah’s contributions extend beyond research, as she actively mentors young researchers and engineers, inspiring future generations to drive technological innovations for sustainable water management.

Professional Profile

Education

Heba Abdallah holds a Ph.D. in Chemical Engineering from Cairo University, awarded in November 2010. Her doctoral research focused on the kinetics study of esterification reactions using catalytic membranes, showcasing her expertise in membrane-based chemical processes. She also earned a Master of Science (M.Sc.) in Chemical Engineering from Cairo University in December 2004. Her master’s thesis evaluated cement lining mortar for cast iron pipes, demonstrating her proficiency in material science and industrial applications. Heba’s academic journey began with a Bachelor of Science (B.Sc.) in Chemical Engineering from Cairo University, completed in May 2000. Her graduation project involved the production of methanol using a multi-tubular reactor, highlighting her early interest in industrial chemical processes. Throughout her academic career, Heba demonstrated a keen focus on engineering solutions for industrial and environmental challenges. Her solid educational foundation has been instrumental in shaping her research career, enabling her to make significant contributions to membrane technology and water treatment.

Professional Experience

Heba Abdallah has an extensive professional background in chemical engineering, with a focus on membrane technology and water treatment. Since 2021, she has been a Professor at the National Research Centre (NRC) in Cairo, Egypt, where she leads advanced research projects on membrane production and application. From 2016 to 2021, she served as an Associate Professor at the NRC, contributing significantly to research and development in water desalination and wastewater treatment. Prior to that, she was a Researcher at the NRC from 2010 to 2016, where she honed her expertise in membrane fabrication and performance enhancement. From 2006 to 2010, she worked as an Associate Researcher at the NRC, focusing on pilot-scale membrane production and testing. Earlier in her career, Heba gained industrial experience as a Research Assistant at El-Nasr Casting Company from 2001 to 2006 and as an Engineer in the same company from 2000 to 2001. Her diverse experience, combining academic research with industrial practice, has made her a recognized expert in the field of chemical engineering and membrane technology.

Research Interests

Heba Abdallah’s research interests span a wide range of chemical engineering fields, with a primary focus on membrane technology. She specializes in the production of flat sheet, spiral wound, and hollow fiber membranes for water desalination and wastewater treatment. Her work explores catalytic membrane reactors, electrodialysis, and reverse electrodialysis technologies for enhanced separation processes. Heba is also deeply involved in microreactor technology, aiming to develop efficient and sustainable chemical processes. Her research addresses environmental challenges, including the treatment of industrial effluents, removal of contaminants, and development of advanced filtration systems. She is particularly interested in the application of membrane technology in fuel cells, contributing to the development of clean energy solutions. Heba’s research also extends to the fabrication of nanocomposite membranes with enhanced antifouling and photocatalytic properties, targeting improved water purification efficiency. Her commitment to innovative research continues to drive advancements in sustainable water management and industrial membrane applications.

Research Skills

Heba Abdallah possesses a diverse set of research skills that contribute to her expertise in chemical engineering. She excels in the synthesis and fabrication of membranes, including flat sheet, spiral wound, and hollow fiber designs. Her technical proficiency extends to the development and optimization of catalytic membrane reactors for chemical processes. Heba has significant experience in water desalination technologies, including reverse osmosis and forward osmosis systems. She is skilled in the design and application of microreactors for industrial chemical reactions, enhancing process efficiency and scalability. Her analytical skills include membrane performance evaluation, fouling resistance assessment, and photocatalytic activity testing. Additionally, she is adept at using advanced characterization techniques such as scanning electron microscopy (SEM), atomic force microscopy (AFM), and X-ray diffraction (XRD) to analyze membrane morphology and composition. Heba’s expertise in wastewater treatment, membrane surface modification, and electrodialysis technologies underscores her capacity to develop innovative solutions for water purification and industrial processes.

Awards and Honors

Heba Abdallah has received numerous accolades for her contributions to chemical engineering and membrane technology. Her participation in international conferences and workshops has earned her recognition for presenting groundbreaking research on membrane applications in water treatment. She was honored for her role in the development of innovative polymeric and ceramic membranes, enhancing water purification efficiency. Heba’s collaborations with international institutions, including her training at Holykem Company in China and Alabama University in the United States, reflect her global influence. She has also been acknowledged for her contributions to scientific innovation through her involvement in the Cairo International Exhibition of Innovation. Her membership in the Egyptian National Network in Nanotechnology highlights her commitment to advancing nanotechnology applications in membrane science. Heba’s continuous pursuit of excellence and her impactful contributions to sustainable water management have positioned her as a leading figure in the field of chemical engineering.

Conclusion

Heba Abdallah is a prominent figure in chemical engineering, recognized for her expertise in membrane technology and water treatment. With a strong academic background, extensive research experience, and a passion for innovation, she has made significant contributions to sustainable water management and industrial chemical processes. Her work on advanced membrane fabrication, water desalination, and wastewater treatment has been widely acclaimed in scientific communities. Heba’s commitment to knowledge dissemination is evident through her participation in international conferences and her numerous publications in high-impact journals. Her influence extends beyond research, as she actively mentors and collaborates with other scientists to drive technological advancements. Heba Abdallah’s dedication to developing efficient and eco-friendly membrane technologies continues to play a vital role in addressing global water challenges and promoting sustainable industrial practices.

Publications Top Notes

  1. The Use of Green Synthesized TiO2/MnO2 Nanoparticles in Solar Power Membranes for Pulp and Paper Industry Wastewater Treatment

    • Authors: S.A. Mousa, Sahar A.; H.M. Abdallah, Heba Mohamed; S.A. Khairy, Sherif A.
    • Year: 2025

  2. Modification of Blend Reverse Osmosis Membranes Using ZrO2 for Desalination Process Purposes

    • Authors: S.O. Alaswad, Saleh O.; E.S. Mansor, Eman S.; H.M. Abdallah, Heba Mohamed; A.M.H. Shaban, Ahmed Mahmoud H.
    • Year: 2025

  3. Integrated System of Reverse Osmosis and Forward Pressure-Assisted Osmosis from ZrO2 Base Polymer Membranes for Desalination Technology

    • Authors: S.O. Alaswad, Saleh O.; H.M. Abdallah, Heba Mohamed; E.S. Mansor, Eman S.
    • Year: 2024

  4. Fabrication and Assessment of Performance of Clay-Based Ceramic Membranes Impregnated with CNTs in Dye Removal

    • Authors: K.H. Hamad, Kareem H.; H.M. Abdallah, Heba Mohamed; S.T. Aly, Sohair T.; R.M. Abobeah, Reda M.; S.K. Amin, Sh K.
    • Year: 2024

  5. High-Performance Metal-Organic Frameworks for Efficient Adsorption, Controlled Release, and Membrane Separation of Organophosphate Pesticides

    • Authors: A.M. Ashraf, Abdallah M.; M.H. Khedr, Mohamed Hamdy; A.A. Farghali, Ahmed A.; H.M. Abdallah, Heba Mohamed; M. Taha, Mohamed
    • Year: 2024
    • Citations: 4

  6. Integrated Membranes System for Water Application in Microbiology/Molecular Biology

    • Authors: H.M. Abdallah, Heba Mohamed; D.N. Abd-Elshafy, Dina Nadeem; M.S. Shalaby, Marwa Saied; A.M.H. Shaban, Ahmed Mahmoud H.; M.M. Bahgat, Mahmoud Mohamed
    • Year: 2024

  7. The Role of Membrane Filtration in Wastewater Treatment

    • Authors: E.S. Mansor, Eman S.; H.M. Abdallah, Heba Mohamed; A.M.H. Shaban, Ahmed Mahmoud H.
    • Year: 2024
    • Citations: 1

  8. Production of Disinfective Coating Layer to Facial Masks Supplemented with Camellia sinensis Extract

    • Authors: D.N. Abd-Elshafy, Dina Nadeem; H.M. Abdallah, Heba Mohamed; R. Nadeem, Rola; A.M.H. Shaban, Ahmed Mahmoud H.; M.M. Bahgat, Mahmoud Mohamed
    • Year: 2024

  9. Highly Effective Ultrafiltration Membranes Based on Plastic Waste for Dye Removal from Water

    • Authors: E.S. Mansor, Eman S.; H.M. Abdallah, Heba Mohamed; A.M.H. Shaban, Ahmed Mahmoud H.
    • Year: 2024
    • Citations: 4

  10. Parameters Affecting Synthesis of Sulfonated Chitosan Membrane for Proton Exchange Membrane in Fuel Cells

  • Authors: S.G. Abd-Elnaeem, Sara G.; A.I. Hafez, Azza Ibrahim; K.M. El‑khatib, Kamel M.; M.K. Fouad, Mai Kamal; E.F. Abadir, Ehab Fouad
  • Year: 2024
  • Citations: 1

Dan Yang | Chemical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Dan Yang | Chemical Engineering | Best Researcher Award

School of Chemistry and Molecular Engineering, Nanjing Tech University, China

Dan Yang is an accomplished associate professor at Nanjing Tech University, specializing in chemistry and molecular engineering. With a strong academic foundation and extensive research experience, she focuses on the synthesis of metal nanoclusters and their applications in photoelectrocatalysis and electrocatalysis. Her research aims to develop innovative solutions for CO2 reduction and biomass conversion, contributing to sustainable chemical processes. Throughout her career, she has made significant contributions to the field, authoring multiple high-impact publications in renowned scientific journals. Dan Yang has successfully secured competitive research grants, demonstrating her expertise in securing funding for cutting-edge projects. With her deep-rooted knowledge in physical chemistry and material science, she continues to make impactful strides in catalysis research, earning recognition and respect in her field.

Professional Profile

ORCID Profile

Education

Dan Yang has an extensive academic background in chemistry and material science. She earned her doctoral degree in physical chemistry from Nanjing University (2017–2020) under the supervision of Professors Weiping Ding and Yan Zhu. During her doctoral studies, she focused on the catalytic conversion of C1 molecules using metal clusters. Prior to this, she obtained a master’s degree in material science from Sun Yat-sen University (2012–2014), where she worked under Professor Yuezhong Meng, specializing in the development of advanced materials. Her educational journey began at Northwest Normal University, where she completed her bachelor’s degree in chemistry (2008–2012), building a strong foundation in chemical principles and laboratory techniques. This diverse and robust educational background has equipped Dan Yang with the expertise to conduct innovative research in electrocatalysis and sustainable chemical processes.

Professional Experience

Dan Yang’s professional career reflects her dedication to advancing chemical research. She is currently an associate professor at Nanjing Tech University (2023–present), where she leads research on metal nanocluster synthesis and their applications in photoelectrocatalysis and electrocatalysis of C1 molecules and biomass conversion. Prior to her current role, she served as a postdoctoral researcher at the same university (2021–2022), where she worked on electrocatalytic CO2 reduction reactions (CO2RR) and the conversion of biomass derivatives into valuable chemical products. From 2014 to 2016, she was an assistant research fellow at the Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences. There, she contributed to the development of fine chemicals, including phase-change materials, epoxide plasticizers, and bio-based polyols. Her diverse professional experience underscores her expertise in catalysis, sustainable chemical synthesis, and material science.

Research Interests

Dan Yang’s research interests revolve around catalysis and sustainable chemistry. She specializes in the synthesis of metal nanoclusters and their catalytic applications in photoelectrocatalysis and electrocatalysis. Her current focus includes CO2 reduction reactions (CO2RR) to produce carbon monoxide (CO) and formic acid (HCOOH), offering potential solutions for carbon capture and utilization. She also explores the electrocatalytic transformation of biomass-derived molecules, such as glycerol and glucose, into valuable carboxylic acid products. Additionally, her work investigates the evolution of metal-ligand interfaces in nanoclusters and their impact on catalytic performance. Through her research, Dan Yang aims to develop efficient and sustainable catalytic systems that address environmental challenges and promote green chemical processes.

Research Skills

Dan Yang possesses a diverse set of research skills in the fields of catalysis and material science. She is highly proficient in the synthesis and characterization of metal nanoclusters, utilizing techniques such as transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS), and nuclear magnetic resonance (NMR) to analyze cluster structures. Her expertise extends to electrochemical methods, including cyclic voltammetry and chronoamperometry, for evaluating catalytic performance. Additionally, she has experience in biomass conversion processes, utilizing electrocatalysis and photoelectrocatalysis techniques. Her analytical skills include advanced data interpretation and the use of computational tools for modeling catalytic reactions. Dan Yang’s technical proficiency enables her to design and optimize catalytic systems for efficient and selective chemical transformations.

Awards and Honors

Dan Yang has received several prestigious awards and research grants in recognition of her contributions to catalysis research. She was awarded the Young Scientists Fund of the National Natural Science Foundation of China (NSFC) for her project on the evolution of metal-ligand interfaces in gold clusters for CO2 reduction (2025–2027). She also leads a sub-project of the NSFC International Cooperation and Exchanges Program, focusing on new catalysts and materials for CO2 capture and conversion (2024–2026). Additionally, she secured funding from the Jiangsu Natural Science Foundation of China for her work on glycerol carbonate synthesis through electrochemical CO2 conversion (2023–2026). Dan Yang previously received support from the China Postdoctoral Science Foundation for her research on electrolyte-regulated CO2RR using gold clusters (2022–2023). These accolades highlight her innovative research and scientific impact.

Conclusion

Dan Yang is a distinguished researcher and associate professor with a profound expertise in catalysis, material science, and sustainable chemical processes. Her academic journey, spanning from physical chemistry to material science, has equipped her with the skills and knowledge to tackle complex challenges in CO2 reduction and biomass conversion. With a prolific publication record and multiple research grants, she continues to make significant contributions to the field. Her commitment to advancing sustainable catalytic processes reflects her dedication to addressing pressing environmental challenges. Through her innovative research, Dan Yang remains at the forefront of scientific discovery, driving advancements in electrocatalysis and green chemistry.

Publications Top Notes

  1. Metal-ligand interfaces for well-defined gold nanoclusters
    Authors: Yang, Dan; Wu, Yating; Yuan, Zhaotong; Zhou, Chunmei; Dai, Yihu; Wan, Xiaoyue; Zhu, Yan; Yang, Yanhui
    Journal: Science China Chemistry

  2. Atomically Precise Water-Soluble Gold Nanoclusters: Synthesis and Biomedical Application
    Authors: Yan, Qian; Yuan, Zhaotong; Wu, Yating; Zhou, Chunmei; Dai, Yihu; Wan, Xiaoyue; Yang, Dan; Liu, Xu; Xue, Nianhua; Zhu, Yan
    Journal: Precision Chemistry

  3. Direct dehydrogenation of propane over Co@silicalite-1 zeolite: Steaming-induced restructuring of Co2+ active sites
    Authors: Long, Jiangping; Tian, Suyang; Wei, Sheng; Lin, Hongqiao; Shi, Guiwen; Zong, Xupeng; Yang, Yanhui; Yang, Dan; Tang, Yu; Dai, Yihu
    Journal: Applied Surface Science

  4. Metal-carbonate interface promoted activity of Ag/MgCO3 catalyst for aqueous-phase formaldehyde reforming into hydrogen
    Authors: Wang, Qiaojuan; Wang, Jianyue; Rui, Wenjuan; Yang, Dan; Wan, Xiaoyue; Zhou, Chunmei; Li, Renhong; Liu, Wen; Dai, Yihu; Yang, Yanhui
    Journal: Fuel

  5. Nonoxidative propane dehydrogenation by isolated Co2+ in BEA zeolite: Dealumination-determined key steps of propane C-H activation and propylene desorption
    Authors: Wei, Sheng; Dai, Hua; Long, Jiangping; Lin, Hongqiao; Gu, Junkun; Zong, Xupeng; Yang, Dan; Tang, Yu; Yang, Yanhui; Dai, Yihu
    Journal: Chemical Engineering Journal

  6. Investigation into the coking-related key reaction steps in dry reforming of methane over NiMgOx catalyst
    Authors: Wang, Jianyue; Wang, Jiawei; Wei, Sheng; Zhang, Yiwen; Tian, Fuhou; Yang, Dan; Kustov, Leonid M.; Yang, Yanhui; Dai, Yihu
    Journal: Molecular Catalysis

  7. Ball-milling-induced phase transition of ZrO2 promotes selective oxidation of glycerol to dihydroxyacetone over supported PtBi bimetal catalyst
    Authors: Luo, Pan; Wang, Jianyue; Rui, Wenjuan; Xu, Ruilin; Kuai, Zhiyuan; Yang, Dan; Wan, Xiaoyue; Zhou, Chunmei; Yang, Yanhui; Dai, Yihu
    Journal: Chemical Engineering Journal

  8. Catalytic Conversion of C1 Molecules on Atomically Precise Metal Nanoclusters (vol 4, pg 66, 2022)
    Authors: Not listed
    Journal: CCS Chemistry

  9. Non-oxidative propane dehydrogenation over Co/Ti-ZSM-5 catalysts: Ti species-tuned Co state and surface acidity
    Authors: Wu, Yueqi; Long, Jiangping; Wei, Sheng; Gao, Yating; Yang, Dan; Dai, Yihu; Yang, Yanhui
    Journal: Microporous and Mesoporous Materials

  10. On the effect of zeolite acid property and reaction pathway in Pd-catalyzed hydrogenation of furfural to cyclopentanone
    Authors: Gao, Xing; Ding, Yingying; Peng, Lilin; Yang, Dan; Wan, Xiaoyue; Zhou, Chunmei; Liu, Wen; Dai, Yihu; Yang, Yanhui
    Journal: Fuel

  11. Research Progress in Electrocatalytic CO2 Reduction Reaction over Gold Clusters
    Authors: Yang, Dan; Liu, Xu; Dai, Yihu; Zhu, Yan; Yang, Yanhui
    Journal: Chemical Journal of Chinese Universities

  12. Electrocatalytic CO2 Reduction over Atomically Precise Metal Nanoclusters Protected by Organic Ligands
    Authors: Yang, Dan; Wang, Jiawei; Wang, Qiaojuan; Yuan, Zhaotong; Dai, Yihu; Zhou, Chunmei; Wan, Xiaoyue; Zhang, Qichun; Yang, Yanhui
    Journal: ACS Nano

  13. Chemoselective Oxidation of Glycerol over Platinum‐Based Catalysts: Toward the Role of Oxide Promoter
    Authors: Not listed
    Journal: ChemCatChem

  14. Catalytic Conversion of C1 Molecules on Atomically Precise Metal Nanoclusters
    Authors: Not listed
    Journal: CCS Chemistry

  15. Distinct chemical fixation of CO2 enabled by exotic gold nanoclusters
    Authors: Yang, Dan; Song, Yu; Yang, Fang; Sun, Yongnan; Li, Shuohao; Liu, Xu; Zhu, Yan; Yang, Yanhui
    Journal: The Journal of Chemical Physics

  16. A survey of recent progress on novel catalytic materials with precise crystalline structures for oxidation/hydrogenation of key biomass platform chemicals
    Authors: Not listed
    Journal: EcoMat

  17. Selective CO2 conversion tuned by periodicities in Au8n+4(TBBT)4n+8 nanoclusters
    Authors: Not listed
    Journal: Nano Research

  18. Evolution of catalytic activity driven by structural fusion of icosahedral gold cluster cores
    Authors: Not listed
    Journal: Chinese Journal of Catalysis

  19. Ligand-protected Au4Ru2 and Au5Ru2 nanoclusters: distinct structures and implications for site-cooperation catalysis
    Authors: Not listed
    Journal: Chemical Communications

  20. Structural Relaxation Enabled by Internal Vacancy Available in a 24-Atom Gold Cluster Reinforces Catalytic Reactivity
    Authors: Not listed
    Journal: Journal of the American Chemical Society

  21. Controllable Conversion of CO2 on Non‐Metallic Gold Clusters
    Authors: Not listed
    Journal: Angewandte Chemie International Edition

  22. Sequence isomerism-dependent self-assembly of glycopeptide mimetics with switchable antibiofilm properties
    Authors: Chen, Limin; Feng, Jie; Yang, Dan; Tian, Falin; Ye, Xiaomin; Qian, Qiuping; Wei, Shuai; Zhou, Yunlong
    Journal: Chemical Science

  23. Switchable modulation of bacterial growth and biofilm formation based on supramolecular tripeptide amphiphiles
    Authors: Chen, Limin; Yang, Dan; Feng, Jie; Zhang, Min; Qian, Qiuping; Zhou, Yunlong
    Journal: Journal of Materials Chemistry B

  24. The Evolution in Catalytic Activity Driven by Periodic Transformation in the Inner Sites of Gold Clusters
    Authors: Sun, Yongnan; Wang, Endong; Ren, Yujing; Xiao, Kang; Liu, Xu; Yang, Dan; Gao, Yi; Ding, Weiping; Zhu, Yan
    Journal: Advanced Functional Materials

Sandeep Belidhe | Engineering | Best Innovation Award

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Mr. Sandeep Belidhe | Engineering | Best Innovation Award

DevSecOps Engineer at Sparksoft Corp, United States

Sandeep Belidhe is a highly experienced IT professional with over 10.5 years of expertise in DevSecOps, DevOps Cloud Engineering, Release Engineering, and Middleware Administration. His career has been dedicated to integrating AI, machine learning (ML), and security automation within cloud environments to enhance operational efficiency and risk mitigation. Through his extensive research and development, he has significantly contributed to AI-driven DevSecOps, leading to multiple scholarly publications, two patents, and an authored book on AI/ML. His research has focused on bridging the gap between artificial intelligence, deep learning, and IT automation, revolutionizing the way security and efficiency are managed in cloud computing. By successfully deploying intelligent, scalable, and secure IT solutions, he has influenced industry best practices and innovation. Additionally, his role as a mentor and thought leader has allowed him to guide professionals in adopting cutting-edge AI solutions in DevOps. With a track record of innovation, leadership, and technical excellence, Sandeep continues to push the boundaries of AI-driven IT automation and security. His contributions make him a strong candidate for recognition as a top researcher in the field, further solidifying his impact on DevSecOps and AI integration in cloud computing.

Professional Profile

Education

Sandeep Belidhe has built a strong academic foundation in computer science, artificial intelligence, and cloud security, enabling him to contribute extensively to AI-integrated DevSecOps solutions. His educational journey has equipped him with advanced knowledge in software development, deep learning, cybersecurity, and automation, shaping his research and professional expertise. He holds a Bachelor’s Degree in Computer Science & Engineering, which provided him with essential skills in programming, system architecture, and IT infrastructure management. To further enhance his expertise, he pursued a Master’s Degree in Artificial Intelligence & Machine Learning, focusing on deep learning, neural networks, and AI-driven security frameworks. In addition to his formal education, he has acquired multiple industry-recognized certifications in DevSecOps, Cloud Computing, AI/ML, and Security, keeping him at the forefront of technological advancements. His continuous learning approach ensures that he stays updated with emerging trends and best practices, further enhancing his ability to drive research and innovation in AI-powered DevOps security.

Professional Experience

Sandeep Belidhe has amassed over a decade of experience in DevSecOps, Cloud Engineering, AI/ML, and Middleware Administration, working with leading technology firms and research institutions. His expertise in security automation, AI-driven DevOps, and scalable cloud architectures has allowed him to deliver innovative and high-impact IT solutions. Throughout his career, he has held various key positions, including DevSecOps Engineer, AI & ML Researcher, Middleware & Release Engineer, and Patent Innovator. As a DevSecOps and Cloud Engineer, he has played a critical role in ensuring secure, automated, and scalable IT environments. His work in AI and ML research has led to the development of intelligent security automation frameworks, contributing significantly to the field. He has also been instrumental in optimizing middleware solutions, release management, and application security, ensuring seamless CI/CD integration and operational efficiency. His pioneering research, combined with real-world applications, positions him as a leading expert in AI-driven DevSecOps, making substantial contributions to cloud security, automation, and IT infrastructure advancements.

Research Interest

Sandeep Belidhe’s research focuses on AI-driven automation, security, and scalability in cloud computing and DevSecOps. His primary goal is to develop intelligent and adaptive security solutions that enhance cloud infrastructure protection, automation, and operational efficiency. His key research areas include AI-driven DevOps security, where he integrates machine learning algorithms to predict security threats, automate compliance checks, and optimize CI/CD workflows. He is also deeply involved in deep learning and neural network applications, exploring their role in enhancing IT performance monitoring, cybersecurity, and anomaly detection. Additionally, he specializes in cloud engineering and automation, developing strategies for securing cloud-based infrastructures through AI-powered insights. His research has led to published papers, patents, and contributions to industry best practices, reinforcing his position as an innovative thought leader in AI-driven IT automation and security.

Research Skills

Sandeep Belidhe possesses a diverse set of technical and analytical skills that enable him to conduct cutting-edge research in AI, DevSecOps, and cloud security. His expertise includes AI and ML algorithm development, where he applies deep learning techniques to cybersecurity challenges, improving threat detection and automated security solutions. His knowledge in cloud security and DevSecOps allows him to build scalable and automated security infrastructures, integrating AI-driven analytics for proactive threat management. He has also mastered big data analytics and predictive security, leveraging data-driven insights to enhance IT automation and risk mitigation. Additionally, he excels in software development, middleware engineering, and automation scripting, providing the technical foundation for deploying high-performance, secure, and efficient systems. His ability to translate research into real-world applications makes him an industry leader in AI-powered DevSecOps innovations.

Awards and Honors

Sandeep Belidhe has been recognized for his groundbreaking contributions to AI, ML, DevSecOps, and cloud security, earning prestigious awards, patents, and professional honors. His ability to innovate and push the boundaries of AI-driven automation and security has positioned him as a leading researcher and industry expert. One of his most significant achievements is holding two patents in AI-integrated security solutions, which highlight his pioneering work in intelligent automation frameworks. Additionally, he has been awarded for research excellence, receiving Best Research Paper Awards for his contributions to AI-driven DevOps security. As an author, he has published a comprehensive book on AI/ML, serving as a valuable educational resource for researchers, professionals, and students. His industry certifications and recognitions further emphasize his expertise and commitment to advancing AI and DevSecOps research.

Conclusion

Sandeep Belidhe is a distinguished researcher and IT professional, with a strong background in AI, ML, DevSecOps, and cloud security. His 10.5 years of experience, combined with his patents, scholarly publications, and industry contributions, make him a key innovator in AI-driven IT automation. His commitment to research, innovation, and knowledge sharing has not only led to high-impact technological advancements but has also influenced industry best practices. By continuously mentoring professionals, collaborating with research institutions, and developing AI-powered security solutions, he has played a transformative role in DevSecOps and cloud computing. Sandeep’s ability to integrate AI-driven automation with security frameworks sets him apart as a leader in the IT industry. His dedication to continuous learning, technical excellence, and real-world applications makes him a strong candidate for recognition as a top researcher in AI-integrated DevSecOps and cloud security.

Publications Top Notes

  1. Title: Deep Fake Detection with Hybrid Activation Function Enabled Adaptive Milvus Optimization-Based Deep Convolutional Neural Network
    Authors: H. Mashetty, N. Erukulla, S. Belidhe, N. Jella, V. Reddy Pishati, B.K. Enesheti
    Year: 2025

  2. Title: Explainable AI and Deep Neural Networks for Continuous PCI DSS Compliance Monitoring
    Authors: S.K.D. Sandeep Belidhe, Phani Monogya Katikireddi
    Year: 2024

  3. Title: Applying Deep Q-Learning for Optimized Resource Management in Secure Multi-Cloud DevOps
    Authors: S. Belidhe
    Year: 2022

  4. Title: AI-Driven Governance for DevOps Compliance
    Authors: S. Belidhe
    Year: 2022

  5. Title: Transparent Compliance Management in DevOps Using Explainable AI for Risk Assessment
    Authors: S. Belidhe
    Year: 2022

  6. Title: Using Deep Reinforcement Learning to Defend Conversational AI Against Adversarial Threats
    Authors: S.K.D. Phani Monogya Katikireddi, Sandeep Belidhe
    Year: 2021

  7. Title: Machine Learning Approaches for Optimal Resource Allocation in Kubernetes Environments
    Authors: S.B. Sandeep Kumar Dasa, Phani Monogya Katikireddi
    Year: 2021

  8. Title: Intelligent Cybersecurity: Enhancing Threat Detection through Hybrid Anomaly Detection Techniques
    Authors: S.B. Phani Monogya Katikireddi, Sandeep Kumar Dasa
    Year: 2021

  9. Title: Optimizing Object Detection in Dynamic Environments with Low-Visibility Conditions
    Authors: S. Belidhe, S.K. Dasa, S. Jaini