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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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)

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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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)

Mohammad Hassan Sohouli | Medicine and Health Sciences | Research Excellence Award

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Assist. Prof. Dr. Mohammad Hassan Sohouli | Medicine and Health Sciences | Research Excellence Award

Tehran University of Medical Sciences | Iran

Dr. Mohammad Hassan Sohouli is an Assistant Professor and an accomplished researcher in Cellular and Molecular Nutrition and Clinical Nutrition, with a PhD completed from Shahid Beheshti University of Medical Sciences, Iran. His academic training integrates molecular nutrition, clinical nutrition, and public health, forming a strong foundation for translational and evidence-based research. He has been an active speaker at national and regional scientific conferences, and he has served as Chief Director at the Gastroenterology and Hepatology Research Center for Pediatric Nutrition and as a specialist clinical nutritionist at the Children Medical Center, Tehran. Dr. Sohouli has contributed to 148 completed and ongoing research projects and authored more than 141 articles in SCI- and  journals, accumulating over 1,306 citations, with an H-index of  19. His research interests focus on childhood obesity, NAFLD, dietary patterns, gut microbiota, cardiometabolic outcomes, pediatric and maternal nutrition, and public health nutrition, with extensive expertise in systematic reviews, meta-analyses, and clinical trials. He has published three ISBN books, holds 13 patents, completed 68 consultancy projects, and received multiple recognitions as a top researcher, reflecting his sustained impact and leadership in nutrition science.

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Leone Ermes Romano | Space Exploration Technologies | Young Scientist Award

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Dr. Leone Ermes Romano | Space Exploration Technologies | Young Scientist Award

Università degli studi di Napoli Federico II | Italy

Leone Ermes Romano is a plant biologist and space life sciences researcher specializing in plant adaptation to altered gravity environments, with a strong focus on sustainable food production for space exploration. He is currently a PhD researcher at the University of Naples Federico II, where he is also serving as Principal Investigator on European Space Agency–supported projects. Romano received advanced academic training in plant physiology and space biology, developing expertise in experimental design, spaceflight hardware development, and controlled-environment cultivation systems. His research experience includes leadership and key scientific roles in ESA and ASI projects such as SuperFood for Space, Wolffia Hyper-g, Rootrop, Multitrop, and WAPS, as well as hands-on work at NASA’s Kennedy Space Center during late-access flight preparations. His primary research interests include plant gravitropism, hypergravity and microgravity effects on growth, duckweed (Wolffia spp.) biology, space farming, and bioregenerative life-support systems. He has contributed to peer-reviewed scientific publications indexed in Scopus and currently holds a Scopus profile with h-index: 8, documents: 16, and citations: 140, reflecting a growing international research impact. Romano has been associated with award-winning ESA CORA projects and competitive space research initiatives. His work contributes to advancing space agriculture and resilient crop systems, supporting long-duration human space exploration and sustainable food technologies.

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Mohammed Berka | Electrical Engineering | Engineering Impact Recognition Award

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Prof. Dr. Mohammed Berka | Electrical Engineering | Engineering Impact Recognition Award

University of Mascara | Algeria

Mohammed Berka is a Full Professor of Telecommunications and Electrical Engineering with extensive academic and research experience in microwave engineering and electromagnetic systems. He holds a State Engineering degree in Electronics, a Master’s degree in Signal and Telecommunications Systems, a PhD in Telecommunications, and an Habilitation to Direct Research (HDR), reflecting a strong and progressive academic background. His career spans nearly two decades of university teaching, supervision, and research leadership, with steady academic promotions culminating in Full Professorship. His research interests focus on metamaterials, metasurfaces, microwave and millimeter-wave filters, antennas, absorbers, MIMO systems, electromagnetic wave propagation, and their applications in wireless communications, 5G, satellite systems, sensing, renewable energy, and photovoltaic optimization. He has contributed to numerous national and international research projects and served in key academic leadership roles. Professor Berka has authored and co-authored 41 peer-reviewed publications, several international conference papers, book chapters, and scholarly books published by recognized academic publishers. His scientific output has achieved an h-index of 7, with 224 citations, reflecting sustained research impact in electromagnetics and microwave engineering. His work has received international recognition through high-impact journal publications, conference invitations, and technical committee memberships, positioning him as an active contributor to advanced telecommunication research and innovation.

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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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Featured Publications

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