Juan Jose Muñoz Perez | Civil Engineering |Research Excellence Award

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Prof. Dr. Juan Jose Muñoz Perez | Civil Engineering | Research Excellence Award

Universidad de Cadiz | Spain

Juan José Muñoz Pérez is a senior academic and researcher in Applied Physics with a strong and internationally recognized profile in coastal engineering and marine sciences. He holds a doctoral degree in a physics-related discipline and is currently a Full Professor at the University of Cádiz, where he has developed a long-standing academic career combining teaching, research, and scientific leadership. His professional experience includes sustained leadership of competitive research projects at regional, national, and European levels, as well as extensive collaboration with public administrations and industry through applied R&D and knowledge-transfer contracts. His research interests focus on coastal dynamics, wave–coast interaction, beach morphodynamics, shoreline evolution, sediment transport, coastal defense structures, and the impacts of sea-level rise and climate change on coastal systems, with a strong emphasis on real-world data and field-based methodologies. He has authored a substantial body of high-impact scientific publications in leading international journals, with bibliometric indicators reflecting his influence in the field, including an h-index of 19, 97 published documents, and over 1244 citations (source to be specified). His scientific contributions have been recognized through multiple positive research and transfer evaluations and sustained funding success. Overall, his work bridges fundamental science and applied coastal management, delivering research outcomes with clear societal, environmental, and technical impact.

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Assessment of the shoreline dynamics in San Andres Island: A remote sensing and EOF analysis approach
J.J. Muñoz Pérez et al., Regional Studies in Marine Science, Elsevier, 2026.

The Effects of Anthropic Structures on Coastline Morphology: A Case Study from the Málaga Coast (Spain)
J.J. Muñoz Pérez et al., Journal of Marine Science and Engineering, MDPI, 2025.

Coastal Management: A Review of Key Elements for Vulnerability Assessment
J.J. Muñoz Pérez et al., Journal of Marine Science and Engineering, MDPI, 2024.

Yulia Yugay | Nanotechnology |Research Excellence Award

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Dr. Yulia Yugay | Nanotechnology |Research Excellence Award

Federal Scientific Center of the East Asia Terrestrial Biodiversity, Far Eastern Branch of the Russian Academy of Sciences | Russia

Dr. Yulia A. Yugay is a plant biotechnologist and molecular biologist with a PhD in Biological Sciences, currently serving as a Senior Research Scientist at the Laboratory of Bionanotechnology and Biomedicine, Federal Scientific Center of the East Asia Terrestrial Biodiversity, Far Eastern Branch of the Russian Academy of Sciences. Her academic training is rooted in advanced biological sciences, with specialization in plant biotechnology and molecular genetics, and her professional experience spans fundamental research and applied innovation within leading national research institutes. Her research interests focus on plant cell and tissue cultures, molecular mechanisms of stress physiology, and the integration of bionanotechnology for the development of biologically active nanomaterials and functional biomolecules with applications in sustainable agriculture, biotechnology, and biomedicine. Dr. Yugay has authored 29 peer-reviewed scientific documents published in Q1–Q2 journals indexed in Web of Science and Scopus, with a strong record as first, corresponding, and co-author; her scholarly impact is reflected through an established h-index-10 and substantial citation record as indexed in Scopus and Web of Science, demonstrating consistent international visibility. In addition to research, she actively contributes to the scientific community as a peer reviewer for international journals, including MDPI titles. Her achievements highlight scientific excellence, interdisciplinary innovation, and meaningful translational potential, positioning her as a leading contributor to modern plant biotechnology and bionanotechnology research.

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Sunil S | Mechanical Engineering | Excellence in Research Award

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Dr. Sunil S | Mechanical Engineering | Excellence in Research Award

Sri Venkateshwara College of Engineering – Bengaluru | India

Dr. Sunil S is a Professor of Mechanical Engineering and an accomplished researcher-educator with over fifteen years of academic and research experience in renewable energy, biofuels, thermal systems, and sustainable manufacturing. He earned his Ph.D. in Mechanical Engineering from Visvesvaraya Technological University, with a focus on biodiesel optimization and CI engine performance enhancement. His work spans CFD analysis, nano-additives for emission control, hydrogen-assisted dual-fuel engines, and advanced thermal management systems. Dr. Sunil S holds a granted Indian patent and multiple design registrations, demonstrating strong translational and applied research outcomes, complemented by funded projects from AICTE, KSCST, KSBDB, and VTU. He has received national-level recognitions including Best Paper Awards and the AICTE Chatra Vishwakarma Award. Actively engaged in academic leadership, peer review, and research mentorship, his contributions align closely with UN SDGs on clean energy, responsible production, and climate action, underscoring his sustained impact on sustainable engineering and societal development.

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Performance Analysis and Optimization of Thermal Barrier Coated Piston Diesel Engine Fuelled with Biodiesel Using RSM
G. Anjaneya, S. Sunil, N.K. Manjunatha, J. Giri, H.A. Al-Lohedan, T. Sathish, Case Studies in Thermal Engineering, 57, 104351, 2024. (Citations: 158)

Numerical Simulation of Microchannel Heat Exchanger Using CFD
G. Anjaneya, S. Sunil, S. Kakkeri, M.M. Math, M.N. Vaibhav, C. Solaimuthu, International Journal on Interactive Design and Manufacturing (IJIDeM), 18, 2024. (Citations: 49)

Performance Enhancement and Emission Control of a Biogas–Biodiesel Dual Fuel Diesel Engine: An Experimental and Statistical Study
A. Mohite, B.J. Bora, P. Sharma, S. Sarıdemir, D. Mallick, Ü. Ağbulut, International Journal of Hydrogen Energy, 52, 752–764, 2024. (Citations: 32)

Studies on Titanium Oxide Nanoparticles as Fuel Additive for Improving Performance and Combustion Parameters of CI Engine Fuelled with Biodiesel Blends
S. Sunil, B.S.C. Prasad, S. Kakkeri, Materials Today: Proceedings, 44, 489–499, 2021. (Citations: 32)

Suitability of Multi-Walled Carbon Nanotubes as Catalyst in Combustion of CI Engine Fuelled with Dairy Waste Biodiesel Blends
S. Sunil, B.S.C. Prasad, M. Kotresh, S. Kakkeri, Materials Today: Proceedings, 26, 613–619, 2020. (Citations: 22)

Kamal Reddad | Advanced Materials Engineering | Research Excellence Award

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Mr. Kamal Reddad | Advanced Materials Engineering | Research Excellence Award

Ibn Tofail University Kenitra | Morocco

Kamal Reddad is a doctoral researcher in computational materials science specializing in hydrogen storage materials for sustainable energy applications. He is currently pursuing a PhD at the National School of Applied Sciences (ENSA), Ibn Tofail University, with a strong academic background in physics, holding a master’s degree in matter and radiation and a bachelor’s degree in physics with a focus on energetics. His research centers on magnesium hydride (MgH₂), where he investigates hydrogen desorption mechanisms using density functional theory (DFT), predictive temperature programmed desorption (TPD) modeling, and kinetic Monte Carlo (KMC) simulations. His work emphasizes the role of transition-metal doping and vacancy defects in enhancing hydrogen release kinetics, contributing to multiscale frameworks that bridge atomistic insights with macroscopic behavior. He has authored several peer-reviewed journal articles in high-impact Q1 and Q2 journals and actively contributes to the scientific community as a peer reviewer.  In recognition of academic excellence, he received the UM5 Excellence Prize during his master’s studies. Overall, his research aims to advance first-principles-driven materials design for next-generation hydrogen storage technologies and clean energy systems.

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Enhancing Hydrogen Desorption in MgH2: A DFT Study on the Effects of Copper and Zinc Doping
K. Reddad, H. Labrim, D. Zejli, R. El Bouayadi.
International Journal of Hydrogen Energy, 2024, 87, 1474–1479. (Citations: 26)


Predictive Modeling of Temperature Programmed Desorption (TPD) in Magnesium Hydride MgH2
K. Reddad, H. Labrim, R. El Bouayadi.
Fuel, 2026, 403, 136152. (Citations: 5)


Vacancy Defects and Mo Doping Synergy in MgH2: A DFT Study on Hydrogen Desorption and Electronic Enhancement
K. Reddad, H. Labrim, R. El Bouayadi.
International Journal of Hydrogen Energy, 2025, 157, 150454. (Citations: 5)


Kinetic Monte Carlo Simulations of Hydrogen Desorption: The Influence of Rhodium in MgH2
K. Reddad, H. Labrim, R. El Bouayadi.
Bulletin of Materials Science, 2026, 49(1), 7. (Accepted)

Sardar Muhammad Usman | Social Sciences | Research Excellence Award

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Dr. Sardar Muhammad Usman | Social Sciences | Research Excellence Award

COMSATS University Islamabad | Pakistan

Dr. Sardar Muhammad Usman is an Assistant Professor of Finance & Accounting at COMSATS University Islamabad, with over a decade of academic experience in teaching, research, and academic leadership. He holds a PhD in Finance (Enterprise Management) from Zhejiang University, China, an AACSB- and EQUIS-accredited institution, along with an MS in Finance from Umeå University, Sweden, and an MBA and BBA in Finance from the University of Peshawar. His scholarly work appears in leading journals indexed in SSCI and SCOPUS (Q1–Q3), with cumulative journal impact factors exceeding 48. Dr. Usman’s research interests span crowdfunding, fintech, sustainable finance, ESG disclosure, behavioral finance, machine learning applications in finance, and financial market efficiency. He has supervised PhD and MPhil researchers and is an HEC-approved PhD supervisor. His academic service includes editorial board membership, reviewer roles for high-impact journals, curriculum development, accreditation activities, and postgraduate evaluation committees. He has also secured competitive international research grants and completed doctoral and master’s studies under prestigious Chinese and Swedish government scholarships. Overall, Dr. Usman’s career reflects a strong integration of impactful research, innovative teaching, and meaningful contributions to sustainable and inclusive financial systems.

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What Factors Affect Patient Satisfaction in Public Sector Hospitals: Evidence from an Emerging Economy
A. Hussain, M. S. Sial, S. M. Usman, J. Hwang, Y. Jiang, A. Shafiq,
International Journal of Environmental Research and Public Health, 16(6), 994, 2019. (SCOPUS Q1, 138 Citations)


Prevalence of Burnout Among Primary Health Care Staff and Its Predictors: A Study in Iran
E. Zarei, F. Ahmadi, M. S. Sial, J. Hwang, P. A. Thu, S. M. Usman,
International Journal of Environmental Research and Public Health, 16(12), 2249, 2019. (SCOPUS Q1, 121 Citations)


The Effects of Creator Credibility and Backer Endorsement in Donation Crowdfunding Campaigns Success
F. A. S. Bukhari, S. M. Usman, M. Usman, K. Hussain,
Baltic Journal of Management, 15(2), 215–235, 2020. (SCOPUS Q2, 73 Citations)


Does the Role of Media and Founder’s Past Success Mitigate the Problem of Information Asymmetry? Evidence from a UK Crowdfunding Platform
S. M. Usman, F. A. S. Bukhari, M. Usman, D. Badulescu, M. S. Sial,
Sustainability, 11(3), 692, 2019. (SCOPUS Q1, 54 Citations)


Message Framing and Self-Conscious Emotions Help to Understand Pro-Environmental Consumer Purchase Intention: An ERP Study
M. Zubair, S. Iqbal, S. M. Usman, M. Awais, R. Wang, X. Wang,
Scientific Reports, 10, 18304, 2020. (SCOPUS Q1, 53 Citations)

Mona Ali | Computer Science and Artificial Intelligence | Research Excellence Award

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Prof. Mona Ali | Computer Science and Artificial Intelligence | Research Excellence Award

King Faisal University | Saudi Arabia

Dr. Mona Abdelbaset Sadek Ali is an Associate Professor of Computer Science specializing in artificial intelligence, machine learning, and image processing. She earned her PhD in Computer Science (Wireless Computer Communications) from Cardiff University, UK, after completing an MSc in Information Technology (Image Processing) and a BSc in Information Technology with honors from Cairo University. With extensive academic experience spanning the UK, Saudi Arabia, and Egypt, her research integrates deep learning, optimization techniques, computer vision, IoT, mobile security, and intelligent healthcare systems. Dr. Ali has authored over 30 peer-reviewed research articles published in high-impact Web of Science-indexed journals and conferences, achieving an h-index of approximately 17, with more than 871 citations and 29 research documents. Her work frequently appears in Q1 and Q2 journals such as Mathematics, Electronics, Sustainability, PLOS ONE, and Applied Sciences. She has led and co-led numerous funded research projects supported by national and institutional bodies and has supervised multiple postgraduate MSc and PhD researchers. Her academic excellence has been recognized through competitive research funding and research poster awards. Overall, Dr. Ali’s career reflects sustained contributions to applied artificial intelligence and data-driven solutions with strong interdisciplinary and societal impact.

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Tomato leaves diseases detection approach based on support vector machines

11th International Computer Engineering Conference (ICENCO), 246–250, 2015 · Citations: 222


Identifying two of tomatoes leaf viruses using support vector machine

Information Systems Design and Intelligent Applications, 2015 · Citations: 145


Detection of breast abnormalities of thermograms based on a new segmentation method

Federated Conference on Computer Science and Information Systems, 2015 · Citations: 78


Thermogram breast cancer prediction approach based on neutrosophic sets and fuzzy c-means algorithm

IEEE Engineering in Medicine and Biology Conference, 2015 · Citations: 76


A hybrid segmentation approach based on neutrosophic sets and modified watershed: A case of abdominal CT liver parenchyma

11th International Computer Engineering Conference (ICENCO), 2015 · Citations: 70

Dapeng Zhang | Engineering and Technology | Research Excellence Award

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Dr. Dapeng Zhang | Engineering and Technology | Research Excellence Award

 Guangdong Ocean University | China

Dr. Dapeng Zhang is an Associate Professor in Ocean Engineering at Guangdong Ocean University, China, with expertise in the dynamic response of offshore and subsea structures. He earned his Doctor of Engineering from Zhejiang University through a joint PhD program with the University of Lisbon, following a Master of Engineering from Ningbo University.  He was recognized among the top 5% of highly cited scholars by CNKI, highlighting his influence in marine and offshore engineering. His research spans marine engineering structures, pipelines and risers, offshore oil underwater production systems, marine artificial intelligence, and triboelectric nanogenerators (TENG). Dr. Zhang has published extensively in leading JCR Q1 journals such as Ocean Engineering, Physics of Fluids, Marine Structures, and Aquacultural Engineering, contributing foundational and applied insights into subsea dynamics, hydrodynamics, and deployment optimization. He serves as Editor-in-Chief of Engineering Solutions to Mechanics, Marine Structures and Infrastructures, holds additional editorial roles, and acts as a reviewer for numerous international journals. Overall, his scholarship integrates theory, computation, and engineering practice to advance safe, efficient, and intelligent offshore systems.

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Dynamic analysis of towed cable with variable length during turning maneuvers

Scientific Reports, 13(1), 3525, 2023 · Citations: 23

Florin Popister | Mechanical Engineering | Engineering Research Excellence Award

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Assoc. Prof. Dr. Florin Popister | Mechanical Engineering | Engineering Research Excellence Award

Technical University of Cluj-Napoca | Romania

Assoc. Prof. Dr. Eng. Florin Popișter is an accomplished researcher and academic in industrial engineering, mechanical design, and robotics. He earned his Ph.D. in Industrial Engineering from the Technical University of Cluj-Napoca, where he currently serves as an Associate Professor, contributing to teaching, research, and supervision in areas such as CAD/CAM systems, industrial robots, reverse engineering, and advanced manufacturing. His professional experience spans both academia and industry, including significant contributions as a design engineer at Gühring Romania, where he developed customized PCD/PCBN tools for the automotive sector. His research includes 3D printing technologies, robotic mechanisms, toolpath generation, workspace optimization, and digital manufacturing, with multiple Q1 journal publications in Polymers, Applied Sciences, and Mathematics. He has led and contributed to national and international research contracts, including H2020 Smart2 and projects focused on automation systems for the pharmaceutical industry. His achievements include a Best Paper Award, participation in Prototypes for Humanity, and invited professorships in Europe. His work continues to advance intelligent manufacturing, Industry 4.0 applications, and smart robotic systems.

Profile : Orcid

Featured Publications

Popescu, D., Dragomir, D., Popișter, F., & Dragomir, M. (2025). AI alignment to enhance production processes performance and resilience. In Book chapter. Springer.

Dragomir, M., Apolțan, D., Cioșan, A., & Popișter, F. (2025). Assessing the potential of emerging digital technologies to transform the production sector. Annals of the Academy of Romanian Scientists Series on Economy, Law and Sociology.

Popișter, F., Ciudin, P., Dragomir, M., & Goia, H. Ș. (2025). From assistive to intelligent: The development of a low-cost smart crutch system. In Book chapter. Springer.

Popișter, F. (2025). Experimental study of comprehensive performance analysis regarding the dynamical/mechanical aspects of 3D-printed UAV propellers and sound footprint. Polymers, 17(11), 1466.

Popișter, F., Goia, H. Ș., & Ciudin, P. (2025). Influence of polymers surface roughness on noise emissions in 3D-printed UAV propellers. Polymers, 17(8), 1015.