Yousaf Muhammad | Energy Conversion | Research Excellence Award

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Assoc. Prof. Dr. Yousaf Muhammad | Energy Conversion | Research Excellence Award

Assoc. Prof. Dr. Yousaf Muhammad is a leading researcher in energy storage devices and solid oxide fuel cell technologies. With 2,946 citations and an h-index of 33, his work significantly advances low-temperature SOFCs, semiconductor electrolytes, and proton-conducting fuel cells. His research integrates materials innovation, rare-earth-doped nanoferrites, and electrochemical performance enhancement. Collaborating internationally, he contributes to renewable energy solutions, hydrogen technology, and ceramic fuel cell development for sustainable, high-efficiency energy conversion systems.

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Citations 2946

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Qingnuan Zhang | Electrochemical Energy | Research Excellence Award

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Prof. Qingnuan Zhang | Electrochemical Energy | Research Excellence Award

Prof. Qingnuan Zhang of Inner Mongolia University is a leading researcher in electrochemical energy storage, with 1,751 citations across 22 publications and an h-index of 16. His work focuses on advanced lithium-ion battery technologies, including polymer electrolyte-mediated interfacial chemistry and innovative separator design. These contributions enhance battery performance, safety, and efficiency, reflecting strong impact and collaboration within the global energy materials research community.

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Featured Publications

Seyi Akadiri | Energy | Editorial Board Member

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Dr. Seyi Akadiri | Energy | Editorial Board Member

Central Bank of Nigeria | Nigeria

Dr. Seyi Saint Akadiri is an accomplished economist whose research explores the complex interactions between energy systems, environmental sustainability, macro-financial stability, and technological change. With 5,405 citations, 125 publications, and an h-index of 44, he has established a strong global scholarly footprint across energy economics, climate finance, resource policy, and quantitative econometrics. His work spans cutting-edge themes such as renewable energy transitions, clean energy market dynamics, geopolitical risk transmission, digitalisation-driven sustainability, economic complexity, and the environmental implications of artificial intelligence. Dr. Seyi Saint Akadiri employs advanced analytical frameworks including wavelet methods, quantile causality, connectedness modelling, Fourier-based econometrics, and portfolio risk analysis to address real-world challenges in global energy markets, climate risk, and environmental performance. His broad influence and multidisciplinary collaborations highlight his expertise in clean energy economics, environmental policy modelling, macroeconomic uncertainty, and sustainable growth analytics.

Profile: Scopus | Orcid

Featured Publications

Akadiri, S. S., (2025). Oil shocks and unexpected economic policy uncertainty: Evidence from wavelet nonparametric quantile causality. Humanities and Social Sciences Communications.

Akadiri, S. S., (2025). The J-curve phenomenon in Türkiye’s fossil fuel trade balance: A Fourier-ARDL analysis. Journal of Asian Economics.

Akadiri, S. S., Ozkan, O., & Kirikkaleli, D. (2025). Synergistic impact of renewable energy technology, governance, digitalisation, and human capital on sustainable development and load capacity factor in Germany’s energy landscape. Technology in Society.

Akadiri, S. S.,  (2025). Time and quantile persistence and efficiency of clean, green, and sustainable markets. Letters in Spatial and Resource Sciences.

Akadiri, S. S.,  (2025). Energy, critical minerals, and precious metals: Navigating interconnectedness and portfolio strategies in investment risk management. Resources Policy.

Hemantkumar Kadam | Heat Transfer | Best Researcher Award

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Mr. Hemantkumar Kadam | Heat Transfer | Best Researcher Award

Pimpri Chinchwad College of Engineering | India

Mr. Hemantkumar Kadam, Assistant Professor at Pimpri Chinchwad College of Engineering, Pune, is a dedicated researcher in mechanical engineering, pursuing a Ph.D. at Shivaji University, Kolhapur, with a focus on nanofluids, surfactants, stability, and heat transfer enhancement. With an M.Tech in Thermal Engineering and a B.E. in Mechanical Engineering, he has conducted extensive experimental studies on alumina nanofluids stabilized with biosurfactants (Rhamnolipids) and synthetic surfactants (SDS, SLS, PVP), analyzing thermophysical properties such as viscosity, interfacial tension, and stability using advanced techniques like UV-Vis spectroscopy, DLS, and zeta potential. His research demonstrates the comparative environmental and performance advantages of biosurfactants over synthetic surfactants, offering sustainable approaches for heat transfer enhancement in renewable energy, HVAC, and electronic cooling systems. Mr. Hemantkumar Kadam has published four high-quality papers in SCIE and ESCI journals, holds two granted copyrights, and has a patent under process. He is an active member of ISTE and maintains professional profiles across Google Scholar, ORCID, ResearchGate, Web of Science, and Scopus. Although his h-index is currently 1 with four citations, his work reflects innovative experimental research, strong academic contributions, and promising potential to impact sustainable thermal management technologies, making him a suitable candidate for the Best Research Award.

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Featured Publications

Nikhade, H. V., Rohokale, O. R., Kalyankar, A. R., Deodikar, A. A., & Deoghare, S. U. (2022). Electronic differential using the concept of torque vectoring. In Proceedings of the 6th International Conference on Computing, Communication, Control and Automation (ICCUBEA 2022). IEEE.

Kadam, H. H., & Pise, A. T. (2025). A thorough analysis of surfactant addition effects on the thermophysical properties and stability of nanofluids. Journal of Surfactants and Detergents, 28(4), 775–812.

Kadam, H. H., Pise, A. T., & Sali, A. V. (2025). Experimental study: The impact of surfactant and nanoparticles concentration on the stability of alumina nanofluids. Journal of Dispersion Science and Technology, 1–15.

Kadam, H. H., & Pise, A. T. (2025). An experimental investigation on the determination of critical micelle concentration (CMC) of various surfactants using the surface tension method. Journal of Polymer and Composites, 13(5).

Kadam, H. H., & Pise, A. T. (2025). Influence of rhamnolipids, anionic surfactants, and Al2O3 nanoparticles on the viscosity of distilled water-based fluids: A comparative experimental study. Journal of Surfactants and Detergents.

Aram Sahakyan | Renewable Energy | Best Researcher Award

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Dr. Aram Sahakyan | Renewable Energy | Best Researcher Award

Alikhanyan National Science Laboratory | Armenia

Dr. Aram Sahakyan is a distinguished physicist specializing in condensed matter radiation physics and superconductor studies, with a career spanning over five decades. He graduated from Yerevan State University in 1968, earned his Ph.D. on surface states in irradiated MIS structures in 1985, and received his Doctor of Physics and Materials Science in 2013, focusing on radiation-induced effects in semiconductors and high-temperature superconductors. Dr. Sahakyan serves as a Leading Scientist at the Alikhanyan National Scientific Laboratory (Yerevan Physics Institute) and Associate Professor at the National Polytechnic University of Armenia. His research emphasizes experimental investigation of magnetic flux dynamics in high-temperature superconductors, radiation effects in solar cells, and materials behavior under near-Earth space conditions. He has authored over 100 publications, one book, and an educational monograph, with 50 presentations at scientific meetings. His international experience includes visiting positions in Germany, France, and Greece, while his project portfolio spans multiple ISTC and INCO-COPERNICUS initiatives. With 141 citations and an h-index of 6, his contributions reflect enduring impact and leadership in physics research.

Profile: Scopus

Featured Publications

  • Sahakyan, (2023). Rates of electrically active radiation defects in proton irradiated n-type and p-type Si monocrystals. Journal of Electronic Materials.

  • Sahakyan,  (2023). New energy electron and proton irradiation effects in semiconductor materials for space applications. Physics of Particles and Nuclei Letters.

Marwa Mohamed | Electrochemical Energy | Best Researcher Award

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Assoc. Prof. Dr. Marwa Mohamed | Electrochemical Energy | Best Researcher Award

City of Scientific Research and Technological Applications | Egypt

Assoc. Prof. Dr. Marwa Mohamed is an accomplished researcher and academic in Materials Engineering and Science, holding a B.Sc. in Chemical Engineering, M.Sc., and Ph.D. from Alexandria University. Her Ph.D. focused on novel metal alloy/polymer nanocomposites for engineering applications, reflecting her strong foundation in advanced materials and nanotechnology. With 20 high-quality publications, 243 citations, and an h-index of 8, she has made significant contributions to the synthesis and characterization of graphene derivatives, polymer and metal oxide nanocomposites, and Fe-Ni nanomaterials. Her research emphasizes green and eco-friendly methodologies, including facile chemical synthesis of metallic nanomaterials, development of high-performance supercapacitors, and structural materials for aerospace, automotive, and renewable energy applications. Assoc. Prof. Dr. Marwa Mohamed has actively collaborated with international institutions, such as Georgia Institute of Technology, and industrial partners, demonstrating practical impact alongside academic excellence. She has directed multiple graduate theses, led funded research projects exceeding several million EGP, and co-organized workshops and conferences to advance knowledge dissemination. A recognized peer reviewer for top journals, she also actively engages in scientific societies and promotes innovation in materials science. Fluent in English and Arabic, with strong computational and analytical skills, Assoc. Prof. Dr. Marwa Mohamed combines research excellence, mentorship, and interdisciplinary collaboration, establishing herself as a leading figure in sustainable materials engineering.

Profile: Scopus | Orcid

Featured Publications

Mohamed, M. A. A., Adel, M., & El Nady, J. (2025). High‐performance solid‐state supercapacitors based on eco‐friendly N‐doped graphene-like nanosheets/nanosized NiCo oxide nanocomposite produced by green facile technology. Energy Technology.

Mohamed, M. A. A., Adel, M., & El Nady, J. (2024). Evaluation of the electrochemical energy storage performance of symmetric supercapacitor devices based on eco-friendly synthesized nitrogen-doped graphene-like derivative electrodes from the perspective of their nanostructural characteristics. Energy Advances.

Adel, M., Hassan, D., Mohamed, M. A. A., Kassem, T. S. E., Fetouh, H. A., AbdElhafez, S. E., & El Nady, J. (2024, November 8). Role of synthetic process parameters of nano-sized cobalt/nickel oxide in controlling their structural characteristics and electrochemical energy performance as supercapacitor electrodes. Scientific Reports.

Mohamed, M. A. A., Abd El-Aziz, A. M., & Adel, M. (2024, May 6). Advances in green production of two-dimensional graphene-derivatives-based polymer composites with overview on their physicochemical characteristics and applications prospects. In G. Singh, R. P. Singh, N. Sharma, & J. P. Davim (Eds.), Green Composites Manufacturing (Adv. Compos. Ser., Ch. 9, pp. 199–256). De Gruyter.

Mohamed, M. A. A., Adel, M., & Abd El-Aziz, A. M. (2023, November). Recent trends in two-dimensional graphene derivatives-based composites: Review on synthesis, properties and applications. Journal of Composite Materials, 57(27), 4327–4364.

Nikolaos Kelepouris | Energy Management | Best Researcher Award

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Mr. Nikolaos Kelepouris | Energy Management | Best Researcher Award

University of Western Macedonia | Greece

Mr. Nikolaos Kelepouris is a highly promising researcher in the field of electrical and computer engineering, currently pursuing his PhD at the University of Western Macedonia with a thesis focused on optimizing distribution networks by incorporating nanogrids. He holds an Integrated Master Diploma in Electrical and Computer Engineering from the University of Thessaly, where he completed a thesis on hydroelectric plant design. His expertise spans energy management systems, demand side management, smart grids, energy communities, storage technologies, electric vehicles, and optimization models. A recipient of the 2023 Research Excellence Award from the Faculty of Engineering, he has distinguished himself as both a skilled researcher and educator, serving as a teaching assistant in electric power systems and photovoltaic applications. Mr. Kelepouris has actively participated in eight funded research projects, including EU Horizon and LIFE initiatives, covering critical areas such as solar energy, smart cities, congestion management, and innovative low-carbon energy technologies. His publication record is robust, with 15 contributions, including five peer-reviewed journal papers in high-impact outlets such as IEEE Transactions on Industry Applications and Electric Power Systems Research, and ten international conference presentations. Combining strong technical skills in programming, optimization, and power system analysis with international project engagement, Mr. Kelepouris is building a significant research profile that advances sustainable energy transitions and the future of smart grids.

Profile: Google Scholar

Featured Publications

Kelepouris, N. S., Nousdilis, A. I., Bouhouras, A. S., & Christoforidis, G. C. (2022). Cost-effective hybrid PV-battery systems in buildings under demand side management application. IEEE Transactions on Industry Applications, 58(5), 6519–6528.

Kelepouris, N. S., Nousdilis, A. I., Bouhouras, A. S., & Christoforidis, G. C. (2023). Optimal scheduling of prosumer’s battery storage and flexible loads for distribution network support. IET Generation, Transmission & Distribution, 17(7), 1491–1508.

Bouhouras, A. S., Kelepouris, N. S., Koltsaklis, N., Oureilidis, K., & Christoforidis, G. C. (2024). Congestion management in coupled TSO and DSO networks. Electric Power Systems Research, 229, 110145.

Kelepouris, N. S., Nousdilis, A. I., Bouhouras, A. S., Christoforidis, G. C., & others. (2021). Impact of demand side management on the self-sufficiency and self-consumption of buildings with photovoltaic and storage systems. In Proceedings of the 9th International Conference on Modern Power Systems (MPS) (pp. 1–6).

Kelepouris, N. S., Nousdilis, A. I., Bouhouras, A. S., & Christoforidis, G. C. (2021). Enhancing self-sufficiency in buildings with hybrid PV-battery systems and demand side management: A sizing tool. In 2021 IEEE International Conference on Environment and Electrical Engineering (EEEIC/ICPSEurope).

Kelepouris, N. S., Kelepouris, D., Bouhouras, A. S., & Christoforidis, G. C. (2024). Prosumer energy management under controllable power transactions with the grid. IEEE Transactions on Industry Applications.

Karam Khairullah | Energy | Best Researcher Award

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Dr. Karam Khairullah | Energy | Best Researcher Award

Dr. Karam Khairullah | University of Malaya | Malaysia

Dr. Karam Khairullah is a distinguished researcher in electrical engineering with a PhD from Universiti Teknologi Malaysia, a master’s degree in control systems from Universiti Teknikal Malaysia Melaka where he was recognized as the best postgraduate student, and a bachelor’s degree in power and machines engineering from the University of Mosul. His research interests span metaheuristic and bio-inspired algorithms, artificial intelligence, renewable energy, photovoltaic systems, maximum power point tracking, grid-connected solar systems, storage technologies, power system protection, wireless power transfer, fuel cells, electric vehicles, and energy efficiency. He has published extensively in high-impact Q1 and Q2 journals, contributing innovative methods for power optimization and renewable energy integration. Professionally, he has lectured at the University of Mosul and currently serves as a Postdoctoral Fellow at the University of Malaya. With prior industry experience in telecommunications and expertise in advanced simulation tools, he combines academic excellence with applied engineering innovation.

Publication Profile

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Educational Background

Dr. Karam Khairullah has built a strong academic foundation in the field of electrical engineering through his distinguished educational journey. He earned his Doctor of Philosophy in Electrical Engineering from Universiti Teknologi Malaysia, where he specialized in advanced research areas that align with renewable energy and intelligent control systems. Prior to this, he completed his Master’s degree in Electrical Engineering with a focus on control systems at Universiti Teknikal Malaysia Melaka, where he was honored as the best postgraduate student, reflecting both his academic excellence and dedication to innovation. His educational path began with a Bachelor’s degree in Electrical Engineering with a specialization in power and machines from the University of Mosul, which provided him with a solid technical base in electrical systems and energy applications. Collectively, his academic achievements highlight a consistent pursuit of excellence and a commitment to advancing knowledge in electrical engineering and renewable energy technologies.

Professional Experience

Dr. Karam Khairullah has gained extensive experience in both academia and industry, combining teaching, research, and practical engineering expertise. In the academic field, he served as a lecturer at the University of Mosul in the Faculty of Engineering, where he contributed to educating future engineers and advancing research initiatives. He is currently a Postdoctoral Fellow in the Department of Electrical Engineering at the University of Malaya, where his focus lies in renewable energy, control systems, and intelligent optimization techniques. Alongside his academic career, Dr. Karam has professional experience in the telecommunications sector, having worked with major companies. His expertise includes microwave implementation and operations with Huawei and Nokia Siemens systems, BTS installation, and hardware maintenance. He has also worked with various industry-standard software platforms, including Huawei U2000, NSN license manager, Ericsson OMT, and Putty-based systems, reflecting his strong technical background and multidisciplinary capabilities.

Research Focus

Dr. Karam Khairullah’s research focus lies in the advancement of renewable energy systems, intelligent optimization techniques, and power electronics. His work predominantly centers on the development of maximum power point tracking strategies for photovoltaic systems under varying and complex conditions, such as partial shading and load fluctuations. By integrating artificial intelligence, bio-inspired algorithms, and metaheuristic approaches, he has contributed significantly to enhancing the efficiency, reliability, and adaptability of solar energy technologies. His research also extends to hybrid energy management systems, including PV-battery storage-grid integration for electric vehicle charging, demonstrating his commitment to sustainable energy solutions. Moreover, his studies in intelligent fault detection and control mechanisms for power transmission systems highlight his broader contribution to power system protection and stability. Collectively, his research addresses critical challenges in renewable energy utilization and power optimization, positioning him as a leading contributor to the fields of energy efficiency, smart grid systems, and sustainable electrification.

Publication Top Notes

A modified perturb and observe MPPT for a fast and accurate tracking of MPP under varying weather conditions
Year: 2023
Citations: 45

Improved coot optimizer algorithm-based MPPT for PV systems under complex partial shading conditions and load variation
Year: 2024
Citations: 37

Improved rat swarm optimizer algorithm-based MPPT under partially shaded conditions and load variation for PV systems
Year: 2022
Citations: 37

Power management and optimized control of hybrid PV-BESS-grid integrated fast EV charging stations
Year: 2024
Citations: 35

Hybrid global maximum power tracking method with partial shading detection technique for PV systems
Year: 2021
Citations: 32

Conclusion

Dr. Karam Khairullah stands out as an innovative and prolific researcher whose contributions to renewable energy systems, control algorithms, and power electronics have significantly advanced the field. With his blend of academic excellence, impactful publications, and applied expertise, he is a highly suitable candidate for the Research for Best Researcher Award, reflecting strong merit and future potential.

Shahab Khameneh asl | Green energy | Breakthrough Research Award

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Assist. Prof. Dr. Shahab Khameneh asl | Green energy | Breakthrough Research Award

Assist. Prof. Dr. Shahab Khameneh asl, University of Tabriz, Iran

Assist. Prof. Dr. Shahab Khameneh Asl is a pioneering materials scientist whose innovative research in nanostructured ceramics, photocatalysts, and energy materials has significantly advanced renewable energy and environmental applications. With over 25 international publications, leadership of specialized laboratories, and global collaborations across Italy, Turkey, and Iran, his work bridges academia and industry. His applied projects in corrosion control and tribological systems reflect real-world impact. As an emerging leader in material innovation and sustainable technologies, Dr. Khameneh Asl is a standout candidate for the Breakthrough Research Award. His contributions exemplify transformative, interdisciplinary research with societal relevance.

Publication Profile

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Education and Research Experience

Assist. Prof. Dr. Shahab Khameneh Asl has been serving as the Head of the Ceramic Laboratory Complex at the Materials Engineering Department, Faculty of Mechanical Engineering, University of Tabriz, Iran, since September 2016. Under his leadership, the complex encompasses a wide range of specialized laboratories, including ceramic manufacturing, refractory technology, glazing, glass and porcelain technologies, thermal analysis, advanced ceramics, bioceramics, electroceramics, and ceramoglass research. He manages a vibrant team of 2 professors, 2 assistant professors, 13 Ph.D. scholars, 30 postgraduate, and 55 undergraduate students. His lab is a hub for both academic and industrial projects and holds top-tier technology contracts at the university level. Since February 2011, he has also been a dedicated Assistant Professor, teaching a diverse array of courses at B.Sc., M.Sc., and Ph.D. levels, such as Advanced Materials, Nanomaterials, Electroceramics, and Advanced Topics in Materials. His teaching and research integrate innovation, technical expertise, and interdisciplinary collaboration.

Work Experience

Assist. Prof. Dr. Shahab Khameneh Asl has accumulated a broad spectrum of academic and industrial experiences throughout his career. In 2016, he served as a lecturer for Refractory Materials at Maragheh University. As a proactive academic at the University of Tabriz, he contributed to the Entrepreneurship Committee in 2015 and played a pivotal role in nurturing innovation by managing the Nano Materials Characterization at Aras Co. (Aylin Nooran Ghostar) in the Aras Free Zone of Iran in 2014. Additionally, he has been a core member of the Mavad Azmoun Group and led the Nano Materials Group at the New Ideas and Companies Center of Tabriz University since 2011 and 2013, respectively. Earlier in his career, in 2004, he completed an engineering research internship at the Neroo Research Center, contributing to two projects: the synthesis of ZnO electrical ceramics and the evaluation of piezo-sensors in power plants. His diverse roles highlight his interdisciplinary impact.

Scholarships and Awards

Assist. Prof. Dr. Shahab Khameneh Asl has received numerous prestigious scholarships and awards throughout his academic career, reflecting his excellence in materials science and nanotechnology. He was honored by the European Federation of Catalysis Societies (EFCATS) to attend their summer schools in Italy/Spain (2012) and Izmir, Turkey (2010). In July 2012, he was sponsored by the Iranian Ceramic Society and Sacmi Co. to participate in a specialized workshop on tile factories and building ceramics in Imola, Italy. He received the Nanomaterials Student Research Award from the Iran Nanotechnology Initiative Council multiple times between 2004 and 2010. Additionally, he earned the Iranian Ministry of Science and Technology Student Research Award during the same period. Recognized as a Sanjesh Illustrious Talent Student in 2005, he was exempted from military service. His contributions were further recognized with the Best Poster Award at the 8th Ceramic Congress of Iran (2009) and Best Oral Presentation at ICAMR 2013 in the UAE.

Research Focus

Assist. Prof. Dr. Shahab Khameneh Asl’s research primarily focuses on nanomaterials, photocatalysis, surface engineering, and advanced functional materials. His extensive body of work spans the synthesis, characterization, and application of materials such as TiO₂ nanotubes, ZnO nanowires, doped ferrites, and hybrid composites. A significant portion of his research investigates solar water splitting, dye degradation, photoelectrochemical performance, and corrosion resistance, often incorporating innovative approaches like nitrogen-doping and graphene-based modifications. He also explores thermal spray coatings, wear behavior, and microstructure optimization in alloys and ceramics. Through studies on mechanical and electrochemical behavior, he bridges the gap between fundamental materials science and real-world industrial applications, particularly in renewable energy and environmental remediation. His work in optimizing operational parameters using methodologies like Response Surface Methodology (RSM) further enhances the efficiency of photocatalytic systems. Overall, his interdisciplinary research contributes to the development of sustainable materials and advanced nanostructured devices for clean energy and engineering solutions.

Publication Top Notes

  • Magnetic and structural properties of nano sized Dy-doped cobalt ferrite synthesized by co-precipitation – Z Karimi, Y Mohammadifar, H Shokrollahi, SK Asl, G Yousefi, L Karimi – Journal of Magnetism and Magnetic Materials – Cited by: 259 – Year: 2014

  • Highly Efficient Solar Water Splitting from Transferred TiO2 Nanotube Arrays – IS Cho, J Choi, K Zhang, SJ Kim, MJ Jeong, L Cai, T Park, X Zheng, … – Nano Letters – Cited by: 119 – Year: 2015

  • Photocatalytic treatment of a dye solution using immobilized TiO2 nanoparticles combined with photoelectro-Fenton process: optimization of operational parameters – AR Khataee, M Zarei, SK Asl – Journal of Electroanalytical Chemistry – Cited by: 115 – Year: 2010

  • Effect of cooling rate on the microstructure and mechanical properties of a microalloyed forging steel – Dariush Rasouli, Shahb Khameneh ASL – Journal of Materials and Processing Technology – Cited by: 111 – Year: 2008

  • Band-gap narrowing and electrochemical properties in N-doped and reduced anodic TiO2 nanotube arrays – NS Peighambardoust, SK Asl, R Mohammadpour – Electrochimica Acta – Cited by: 102 – Year: 2018

  • Effect of heat treatment on wear behavior of HVOF thermally sprayed WC-Co coatings – SK Asl, MH Sohi, K Hokamoto, M Uemura – Wear – Cited by: 97 – Year: 2006

  • A comparative research on corrosion behavior of a standard, crack-free and duplex hard chromium coatings – MRS Beyragh, SK Asl, S Norouzi – Surface and Coatings Technology – Cited by: 57 – Year: 2010

  • Effect of grit‐blasting parameters on the surface roughness and adhesion strength of sprayed coating – SK Asl, MH Sohi – Surface and Interface Analysis – Cited by: 42 – Year: 2010

  • TiO2/rGO/Cu2O ternary hybrid for high-performance photoelectrochemical applications – E Hajialilou, H Asgharzadeh, SK Asl – Applied Surface Science – Cited by: 35 – Year: 2021

  • The recent advancement in the chitosan hybrid-based scaffolds for cardiac regeneration after myocardial infarction – SK Asl, M Rahimzadegan, R Ostadrahimi – Carbohydrate Polymers – Cited by: 33 – Year: 2023

Conclusion

Assist. Prof. Dr. Shahab Khameneh Asl is a highly suitable candidate for the Breakthrough Research Award. His deep expertise in nanostructured ceramics, energy materials, and environmental photocatalysis—combined with a strong academic leadership role and consistent research output—positions him as a dynamic innovator in materials science and engineering. With a few enhancements in global impact visibility and commercialization, he could further solidify his status as a leader of transformative research.

Metwally Rashad | Energy | Best Researcher Award

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Dr. Metwally Rashad | Energy | Best Researcher Award

Dr. Metwally Rashad, Prince Prince Sattam Bin Abdulaziz University, Saudi Arabia

Dr. Metwally Rashad is an Assistant Professor of Computer Science at the Faculty of Computers & Artificial Intelligence, Benha University, Egypt. He earned his Ph.D. in Computer Science from the University of Pannonia, Hungary, specializing in image processing and computer vision. With over 18 years of academic experience, he has taught a wide range of courses, including artificial intelligence, medical image processing, and computer graphics. Dr. Rashad has published extensively in high-impact journals and conferences, with notable work in object recognition, video summarization, and medical image retrieval. He has supervised numerous M.Sc. and Ph.D. students and actively contributes to research in AI, deep learning, and data mining. He holds leadership roles within his faculty, including executive director of the IT unit and faculty board member. A recipient of international publishing awards, Dr. Rashad is a committed researcher with global exposure and a strong background in both teaching and applied research.

Publication Profile

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🎓 Academic Qualifications

Dr. Metwally Rashad has pursued a progressive academic path rooted in mathematics and computer science. He earned his B.Sc. in Mathematics in 2002 from the Faculty of Science at Benha University, Egypt. In 2006, he completed a two-year Diploma in Computer Science from the Institute of Statistical Studies and Research (ISSR) at Cairo University, reflecting his growing interest in computational systems. Building on this foundation, he completed a Pre-master program in Computer Science at Benha University in 2008. His M.Sc., awarded in 2013 from the same institution, focused on string representation for efficient mining and searching over string databases. Dr. Rashad advanced his academic career further by earning a Ph.D. in Computer Science from the University of Pannonia, Hungary, in 2018. His doctoral research centered on video-based object retrieval and recognition using lightweight devices, aligning with cutting-edge developments in image processing and computer vision. His qualifications demonstrate a consistent dedication to both theoretical and applied computing sciences.

👨‍🏫 Professional Positions

Dr. Metwally Rashad has built a robust academic career through progressive roles at Benha University, Egypt. He began as a Demonstrator in the Department of Mathematics (Computer Science), Faculty of Science, from 2004 to 2009. In 2010, he transitioned to the Faculty of Computers & Informatics, continuing as a Demonstrator in the Information System Department until 2011. His dedication and academic growth led to his promotion as an Assistant Lecturer in the same department, a position he held from 2012 to 2017. In 2018, Dr. Rashad was appointed Assistant Professor in the Information System Department, Faculty of Computers & Artificial Intelligence. Since April 2020, he has been serving as an Assistant Professor in the Computer Science Department of the same faculty. Throughout his tenure, Dr. Rashad has demonstrated strong commitment to research, education, and leadership, contributing significantly to the development of the academic and research landscape at Benha University.

🔬 Research Interests

Dr. Metwally Rashad’s research interests encompass a wide range of cutting-edge topics in computer science and artificial intelligence. He specializes in exact and approximate matching, with a strong focus on similarity search and similarity join techniques, which are vital for efficient data comparison and retrieval. His work also explores data cleaning and integration methods, enhancing the quality and usability of large datasets. Dr. Rashad is deeply engaged in database systems and data mining, aiming to extract meaningful patterns from complex data structures. His research extends into the fields of cryptography, image processing, and computer vision, where he applies innovative techniques for object recognition and image analysis. Additionally, he is active in machine learning and deep learning, leveraging these technologies to solve real-world problems. A significant portion of his work involves video processing and artificial intelligence applications, making his contributions highly relevant in today’s data-driven and multimedia-intensive landscape

📘 Teaching

Dr. Metwally Rashad has taught a wide array of undergraduate and postgraduate courses in computer science and artificial intelligence, reflecting his deep expertise and versatility as an academic. His teaching portfolio includes foundational programming languages such as C++, Java, and Matlab, as well as critical subjects like Data Structures, Algorithms, and File Structures. He has also delivered advanced courses in Artificial Intelligence, Machine Learning, and Expert Systems, along with specialized topics like Image Processing, Medical Image Processing, and Computer Vision. Dr. Rashad’s instruction covers essential theoretical areas, including Theory of Computation, Logic Design, Discrete Mathematics, and Structural Programming. He is also experienced in teaching Information Systems, Database Design, Compiler Construction, and Security. His course offerings further extend to emerging and interdisciplinary areas like Information Visualization, Multimedia, Computer Graphics, and Operations Research. This comprehensive teaching background underscores his commitment to fostering technical excellence and innovation among his students.

🏅 Grants and Awards

Dr. Metwally Rashad has been recognized for his impactful research through multiple prestigious awards and grants. He was honored with the International Publishing Prize and Citations from Benha University on two separate occasions—first in January 2018 and again in July 2020—in acknowledgment of his significant contributions to high-impact scientific publications. In addition to these accolades, Dr. Rashad secured a post-doctoral research grant from the Tempus Public Foundation (TPF), supporting his research stay at the Department of Electrical Engineering and Information Systems, Faculty of Information Technology, University of Pannonia, Hungary, from February to May 2020. These recognitions not only highlight his excellence in publishing and international collaboration but also reflect his sustained commitment to advancing knowledge in computer science and artificial intelligence. His achievements stand as a testament to his academic leadership and contribution to global research innovation.

🔍 Research Focus

Dr. Metwally Rashad’s research primarily centers around Artificial Intelligence (AI), Computer Vision, and Data-Driven Healthcare Systems, with a strong interdisciplinary approach linking image processing, machine learning, and information retrieval. His most cited works involve irony detection in Arabic tweets, medical image retrieval, video object recognition, and string similarity join algorithms—reflecting his deep engagement with natural language processing (NLP), deep learning, and visual data analytics. A recurring theme in his publications is the development of lightweight, efficient models for video summarization, emotion recognition, and 3D object retrieval, optimized for low-resource environments. Additionally, he contributes to healthcare technologies through AI-assisted diagnosis, content-based retrieval in medical imaging, and melanoma detection using deep neural networks. His research aligns with the growing global emphasis on AI for smart healthcare, secure cloud computing, and intelligent multimedia processing, making him highly suitable for recognition in advanced computational and AI-powered research categories

Publication Top Notes

📘 BENHA@ IDAT: Improving Irony Detection in Arabic Tweets using Ensemble Approach – Cited by 31 (2019) 🧠🗣️📊
📘 RbQE: An Efficient Method for Content-Based Medical Image Retrieval Based on Query Expansion – Cited by 17 (2023) 🖼️🧬📥
📘 PreJoin: An Efficient Trie-Based String Similarity Join Algorithm – Cited by 9 (2012) 🧵📚🔍
📘 View Centered Video-Based Object Recognition for Lightweight Devices – Cited by 8 (2016) 🎥🔎📱
📘 CCNN-SVM: Emotion Recognition with Custom CNNs and SVM – Cited by 7 (2024) 😊📈🧠
📘 Content-Based Medical Image Retrieval Based on Deep Features Expansion – Cited by 7 (2022) 🏥🧠🔎
📘 Use of IMUs for Video Object Retrieval in Lightweight Devices – Cited by 7 (2017) 🎥📡🤖
📘 Lightweight Active Object Retrieval with Weak Classifiers – Cited by 6 (2018) 📽️📊🧠
📘 Lightweight Video Object Recognition Based on Sensor Fusion – Cited by 5 (2015) 📹📡🔀
📘 Modern Techniques in Content-Based Medical Image Retrieval: A Survey – Cited by 4 (2022) 🏥📚📈
📘 Active Multiview Recognition with Hidden Markov Temporal Support – Cited by 4 (2021) 🧠📽️🔁
📘 Efficient String Edit Similarity Join Algorithm – Cited by 4 (2017) 🧵📝⚙️
📘 Fusion of Optical and Orientation Info in Markovian Framework for 3D Object Retrieval – Cited by 4 (2017) 🎥📐📊
📘 Automatic Melanoma Detection Using Deep Neural Networks – Cited by 2 (2024) 🧬🧠⚕️