Mohammadreza Hasandust Rostami | Energy and Sustainability | Engineering Creativity Award

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Dr. Mohammadreza Hasandust Rostami | Energy and Sustainability | Engineering Creativity Award

Tarbiat modares university | Iran

Mohammadreza Hasandust Rostami is a mechanical engineering researcher specializing in renewable energy systems, computational fluid dynamics (CFD), and advanced thermal engineering. He is currently pursuing doctoral research in biosystem mechanics with a strong academic record and extensive experience in numerical modeling, thermal optimization, and energy-efficient system design. His research portfolio includes peer-reviewed journal articles indexed in international databases, contributing to an established h-index, multiple published documents, and an increasing citation record within the fields of heat and mass transfer and sustainable energy systems. His scholarly work focuses on thermal energy storage systems, atmospheric water generation technologies, nanofluid-enhanced heat exchangers, phase change materials, and geothermal-assisted cooling solutions. Professionally, he has served as an industrial design engineer, mechanical engineer, and consulting specialist, collaborating with manufacturing and heavy industry sectors on FEM analysis, CFD simulations, and thermal performance optimization using advanced engineering software. His research outputs have appeared in reputable international journals published by Wiley, MDPI, and other academic publishers, and several additional works are under review. Through applied research, industrial consulting, and interdisciplinary innovation, his work contributes to energy efficiency, water sustainability, and climate-responsive engineering, positioning him as an emerging researcher at the intersection of thermal sciences, renewable energy, and computational engineering.

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Featured Publications



Thermal Performance Investigation of SWCNT and Graphene Quantum Dots Nanofluids in a Shell-and-Tube Heat Exchanger Using Fin-Blade Tubes
M. H. Rostami, G. Najafi, B. Ghobadin, A. Motevali.
Heat Transfer, 2020, 49(8), 4783–4800. (Citations: 23)


Evaluation and Improvement of PCM Melting in Double-Tube Heat Exchangers Using Nanoparticle–PCM Combinations for Renewable Energy Systems
A. Motevali, M. Hasandust Rostami, G. Najafi, W. M. Yan.
Sustainability, 2021, 13(19), 10675. (Citations: 21)


Evaluation and Enhancement of Thermal Energy Performance of Heat Exchangers Using SWCNT, GQD Nanoparticles and PCM (RT82)
M. H. Rostami, G. Najafi, A. Motevali, N. A. C. Sidik, M. A. Harun.
Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 2021, 79(1). (Citations: 15)


Numerical Analysis of Thermal and Hydrothermal Characteristics of a Heat Sink with Various Fin Configurations and Ternary Nanofluid Composition
A. Najafpour, M. H. Rostami.
Case Studies in Thermal Engineering, 2025, 68, 105928. (Citations: 12)


Experimental Analysis and CFD Simulation of a Photovoltaic/Thermal System Using Nanofluids for Sustainable Energy Solutions
M. F. Ghazali, M. I. Maulana, N. A. C. Sidik, G. Najafi, M. I. M. Rashid, M. F. Jamlos, et al.
Journal of Advanced Research in Numerical Heat Transfer, 2024, 24(1), 1–13. (Citations: 8)

Ghasem Ahangari | Neuroscience | Excellence in Research

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Prof. Ghasem Ahangari | Neuroscience | Excellence in Research

National Institute of Genetic Engineering and Biotechnology | Iran

Professor Ghasem Ahangari is a senior academic and research leader in medical biotechnology, molecular immunology, and neuroimmunogenetics, with more than three decades of sustained contributions to translational biomedical science.  He holds academic training in medical technology, hematology, and molecular clinical immunology, with advanced research experience in internationally recognized institutions, including the Karolinska Institute. His professional career includes long-term faculty appointments, departmental leadership, institute directorships, and coordination of national and international scientific programs. His research interests center on complex disorders such as cancer, autoimmune diseases, neuroimmune and psychosomatic conditions, inflammation, neurotransmitter receptor signaling, and molecular diagnostics, with increasing integration of artificial intelligence in medical research. Professor Ahangari has authored numerous high-impact journal articles, books, and patents, supervised graduate researchers, and organized major scientific workshops and symposia. He is a recipient of multiple academic and research awards from national and international scientific bodies. Overall, his career reflects a strong commitment to interdisciplinary research, academic leadership, and advancing precision medicine through molecular and systems-level approaches.

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Sridevi S | Engineering and Technology | Best Researcher Award

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Dr. Sridevi S | Engineering and Technology | Best Researcher Award

Presidency University | India

Dr. Sridevi S is an accomplished Assistant Professor in Computer Science and Engineering with over seventeen years of academic experience and a Ph.D. completed. She is currently associated with the School of CSE at Presidency University, Bangalore, where she actively contributes to teaching, curriculum design, accreditation activities, and student mentoring. Her academic background includes a Ph.D. in Computer Science and Engineering, an M.Tech in Computer Science and Engineering with distinction, and a Bachelor’s degree in Information Science and Engineering, also with distinction. Dr. Sridevi has extensive experience delivering core and advanced courses such as Data Structures, Computer Networks, Data Mining, Web Technologies, Full Stack Development, and multiple programming languages. Her research interests span 5G and beyond wireless networks, machine learning applications, data analytics, wireless sensor networks, deep learning, and intelligent network optimization. She has published several articles in reputed Scopus-indexed journals and conferences, and her reflects an h-index of 1 with 8 published documents and approximately 2 citations. In addition to her research contributions, she has authored technical books and book chapters with leading publishers. She has been recognized as Best Faculty and has received institutional appreciation for her leadership as Cultural Coordinator. Dr. Sridevi’s career reflects a strong commitment to academic excellence, impactful research, industry-aligned teaching, and holistic student development.

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Featured Publications

DDM: Data-Driven Marketing Using AI, ML, and Big Data
N. N. Ahamed, S. Sridevi, AI-Powered Business Intelligence for Modern Organizations, IGI Global, pp. 79–102, 2025

Real-Time Interference Management in Next-Generation Wireless Systems
S. A. Abidi, D. P. P. D. Beemkumar Nagappan, S. Sridevi, Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 2025 (Scopus-Q2)

Heart Arrhythmia Classification Using Machine Learning Algorithms
V. Hiremani, R. M. Devadas, A. Pasha, S. Sridevi, 2nd International Conference on Ambient Intelligence in Health Care, 2023 (Scopus)

Child Safety & Tracking Management System Using GPS, Geo-Fencing and Android Application
S. Sridevi, S. Thakur, PiCES – Perspectives in Communication, Embedded Systems and Signal Processing, 2018

Indian Classical Percussion Instrument Tabla Taal Classification Using Fast Converging CNN
A. R. Sridevi S., Swati Sharma, Clara Kanmani, Nipun Sharma, Syed Abrar Ahmed, IEEE 4th World Conference on Applied Intelligence and Computing (AIC 2025), 2025 (Scopus)

Meltem Eranıl | Social Sciences | Excellence in Research Award

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Assist. Prof. Dr. Meltem Eranıl | Social Sciences | Excellence in Research Award

Izmir University of Economics | Turkey

Meltem Eranil is an academic researcher affiliated with Yaşar University, Turkey, with scholarly contributions indexed in Scopus that reflect a focused and emerging research profile. According to Scopus data, she has authored 3 peer-reviewed documents, which together have received 36 citations, resulting in an h-index of 1, indicating growing academic influence within her field. Her academic background is grounded in advanced university-level training, supporting her engagement in research, teaching, and scholarly collaboration. Professionally, she has contributed to academic research through publication activity and co-authored works, demonstrating experience in collaborative and interdisciplinary environments. Her research interests align with contemporary themes in her discipline, emphasizing analytical rigor, applied methodologies, and knowledge dissemination through indexed journals. Although no awarded grants are currently listed in Scopus, her citation impact highlights the relevance of her work within the scholarly community. Overall, Meltem Eranil’s academic profile reflects a developing research trajectory marked by peer-reviewed publications, measurable citation impact, and ongoing contributions to academic scholarship, positioning her as a researcher with potential for continued growth and broader international visibility.

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Featured Publications

Z. Seymen, M. Eranıl
Kadın/Woman 2000: Journal for Women’s Studies, 24(2), 2024 ·

Ö. Demirbaş, M. Eranıl
IDA International Design and Art Journal, 2023 ·

M. Eranıl, M. O. Gürel
Gender, Place & Culture, 2018 ·

Mohammed Maiza | Computer Science and Artificial Intelligence | Research Excellence Award

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Dr. Mohammed Maiza | Computer Science and Artificial Intelligence | Research Excellence Award

Université Oran 1 | Algeria

Dr. Mohammed Maiza is an Associate Professor of Computer Science specializing in Pattern Recognition and Artificial Intelligence, with a strong academic and research profile in intelligent systems and data-driven computing. He holds an engineering degree in Computer Science with a specialization in Artificial Intelligence, followed by a Magister and Ph.D. in Computer Science focused on Pattern Recognition and AI. His academic career includes long-standing experience as a Lecturer-Researcher at leading Algerian universities, where he has contributed extensively to teaching, research supervision, and academic leadership. His research interests span pattern recognition, machine learning, artificial intelligence, data analysis, and intelligent decision-support systems. Dr. Maiza has actively participated in international conferences, workshops, and research visits in Algeria and France, strengthening collaborative research networks. He has authored multiple peer-reviewed scientific publications indexed in international databases, with measurable scholarly impact reflected through his h-index, citation count, and documented research outputs in major indexing platforms. In addition to research, he has held several academic leadership and coordination roles, contributing to curriculum development and institutional governance. His academic contributions demonstrate a sustained commitment to advancing AI research, mentoring graduate students, and fostering innovation in computer science, positioning him as a respected researcher and educator in the field.

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C. Cherif, M.K. Abdi, A. Ahmad, M. Maiza
International Journal of Computing and Digital Systems, 14(1), 10505–10513, 2023 · Citations: 5

M. Maiza, S. Chouraqui, C. Cherif, A. Taleb-Ahmed
Przegląd Elektrotechniczny, 2025(4), 2025 · Citations: 4

A. Ahmad, M. Bouneffa, H. Basson, C. Cherif, M.K. Abdi, M. Maiza
Enterprise Interoperability X: Enterprise Interoperability Through Connected Enterprises, 2024 · Citations: 1

C. Cherif, M. Maiza, S. Chouraqui, A. Taleb
13th European Workshop on Visual Information Processing (EUVIP), pp. 1–6, 2025

C. Cherif, M. Maiza, S. Chouraqui, A. Taleb-Ahmed
Informatica, 49(3), 2025

Chahira Cherif | Computer Science and Artificial Intelligence | Research Excellence Award

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Dr. Chahira Cherif | Computer Science and Artificial Intelligence | Research Excellence Award

Université Oran 1 | Algeria

Dr. Chahira Cherif is an Associate Professor of Computer Science with a strong academic and research profile in higher education and software systems research. She holds a State Engineering degree in Computer Science, a Magister (Master’s) degree, and a Ph.D. in Computer Science, reflecting a solid and progressive academic foundation in computing and information technologies. Her professional experience includes service as a State Computer Science Engineer before transitioning into academia, where she has been actively engaged in teaching at both Bachelor’s and Master’s levels under the LMD system, along with supervising Master’s theses. Her research interests focus on intelligent software systems, software evolution, system security, and advanced computing methodologies, with active involvement in nationally recognized research initiatives, including the PREFU project on intelligent evolution and security of software systems. She has participated in international conferences, workshops, and scientific gatherings across Algeria and France, contributing to scholarly exchange and collaboration. Her scientific output is reflected through peer-reviewed publications indexed in international databases, with an established h-index-1 supported by multiple research documents-5 and citation-4 records. Through her combined roles as educator, researcher, and project contributor, she continues to make meaningful contributions to computer science research and academic development, strengthening innovation, knowledge dissemination, and the advancement of intelligent and secure software systems.

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Featured Publications


Predictive approach to the degree of business process change

C. Cherif, M.K. Abdi, A. Ahmad
International Journal of Computing and Digital Systems, 14(1), 10505–10513, 2023 · Citations: 5


Change impact study by Bayesian networks

C. Cherif, M.K. Abdi
Modeling Approaches and Algorithms for Advanced Computer Applications, pp. 429–438, 2013 · Citations: 5


Cancer classification through the selection of genes extracted from microarray data

M. Maiza, S. Chouraqui, C. Cherif, A. Taleb-Ahmed
Przegląd Elektrotechniczny, 101(4), 2025 · Citations: 4


Étude de l’impact de changement dans les systèmes à objet par les réseaux bayésiens

C. Chahira, A. Mustapha Kamel
Communication Science et Technologie, 13(1), pp. 90–108, 2015 · Citations: 4


Towards a probabilistic approach for better change management in BPM systems

C. Cherif
IEEE 23rd International Enterprise Distributed Object Computing Conference, 2019 · Citations: 3

Kevin Clark | Neuroscience | Research Excellence Award

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Dr. Kevin Clark | Neuroscience | Research Excellence Award

Oregon State Universitys |United States

Kevin B. Clark, Ph.D., is a neuroscientist and interdisciplinary researcher with extensive experience spanning behavioral neuroscience, neuropsychology, computational biology, and translational science. He received advanced academic training at Oregon State University, Southern Illinois University, and the Max Planck Institute for Biological Cybernetics, where his work integrated psychology, physiology, and cognitive systems research. His professional career includes long-term service as a postdoctoral fellow, laboratory coordinator, and research scientist across academic, federal, and international research institutions, including the Veterans Affairs Healthcare System and the Max Planck Society. Dr. Clark has held senior leadership and advisory roles in scientific foundations, biotechnology consulting, conservation science, astrobiology, and advanced computing initiatives supported by organizations such as NASA, NSF, IEEE, and the National Academies of Sciences. His research interests focus on neural systems, cognitive processing, neurolinguistics, complex biological systems, neurotechnology, and data-driven approaches to understanding behavior and disease. His scholarly output, as reflected in Google Scholar metrics, includes a sustained record of peer-reviewed publications, cumulative citations, and a measurable h-index demonstrating long-term research impact. Dr. Clark’s career reflects a unique synthesis of scientific innovation, mentorship, and cross-sector collaboration, contributing to both fundamental neuroscience and applied societal challenges.

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Jun Hu | Medicine and Health Sciences | Research Excellence Award

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Dr. Jun Hu | Medicine and Health Sciences | Research Excellence Award

Nanjing University of Chinese Medicine | China

Jun Hu is a medical researcher and lecturer specializing in Traditional Chinese Medicine (TCM)–based interventions for inflammatory and immune-mediated diseases. Trained as a Medical Doctor at Nanjing University of Chinese Medicine, Hu has developed a focused academic career combining mechanistic biomedical research with evidence-based evaluation of traditional therapies. His professional experience centers on teaching and research at a leading TCM institution, where he contributes to both undergraduate and postgraduate medical education while leading interdisciplinary studies. Hu’s research interests include herbal formulas, electroacupuncture, acupoint application, and moxibustion, with particular emphasis on asthma, rheumatoid arthritis, neuroinflammation, and immune regulation. He has played a key role in nationally funded research, including a National Natural Science Foundation of China project investigating autophagy-dependent ferroptosis mechanisms in moxibustion therapy for rheumatoid arthritis synovitis. His scholarly output includes peer-reviewed articles in high-impact journals such as Biomolecules, Frontiers in Pharmacology, Mediators of Inflammation, and Journal of Ethnopharmacology. With an h-index of 7, more than 11 scientific publications, and over 95citations, his work demonstrates sustained academic influence. Overall, Jun Hu’s research bridges traditional medical theory and modern molecular science, advancing integrative strategies for chronic inflammatory disease management.

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Qufeng Xuanbi Formula inhibits benzo[a]pyrene-aggravated asthma via the AhR/ROS/ERK pathway

Journal of Ethnopharmacology, 2024 · DOI: 10.1016/j.jep.2023.117203

Oussama El Othmani | Computer Science and Artificial Intelligence | Best Innovation Award

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Mr. Oussama El Othmani | Computer Science and Artificial Intelligence | Best Innovation Award

Ecole Polytechnique de Tunisie | Tunisia

Oussama El Othmani is an emerging researcher and software engineer whose work bridges artificial intelligence, explainable machine learning, and applied computer engineering. He is currently pursuing a PhD in ETIC, following a strong academic foundation in computer engineering and preparatory mathematics–physics, with rigorous training in artificial intelligence, advanced learning algorithms, computer architecture, databases, and software methodology. Professionally, he has contributed to complex, mission-critical software systems, working across the full software development lifecycle while applying agile methodologies, object-oriented design, and hardware-aware optimization. His research interests focus on explainable and interpretable AI, machine learning, rough set theory, soft computing, computer vision, natural language processing, and AI applications in healthcare and high-stakes decision systems. He has led and contributed to multiple applied AI projects, including medical chatbots, diagnostic decision-support systems, blood anomaly detection, and antibiotic resistance classification. His scholarly output includes peer-reviewed publications in applied AI, He has also gained recognition through research-driven projects aligned with national and institutional initiatives. Overall, his profile reflects a strong balance of academic research, applied innovation, and real-world impact, positioning him as a promising contributor to the future of trustworthy and explainable artificial intelligence.

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