Meltem Eranıl | Social Sciences | Excellence in Research Award

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

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

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

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

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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Featured Publications


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

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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Dapeng Zhang | Engineering and Technology | Research Excellence Award

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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Featured Publications


Dynamic analysis of towed cable with variable length during turning maneuvers

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

Pan Li | Chemistry and Materials Science | Best Researcher Award

Dr. Pan Li | Chemistry and Materials Science | Best Researcher Award

Academy of Military Science of the People’s Liberation Army | China

Li Pan is a PhD candidate and active researcher at the Academy of Military Sciences, specializing in computational and experimental materials science. Her academic training and doctoral education are grounded in advanced materials engineering, with a strong emphasis on first-principles calculations and microstructural analysis of alloys. Through her research experiencez, she has developed a solid theoretical and practical understanding of alloy design, phase stability, and structure–property relationships at the atomic and microstructural scales. Li Pan has authored more than 10 peer-reviewed scientific articles published in high-impact journals, including Nature Communications, reflecting the quality and relevance of her work. In addition to journal articles, she has authored one scholarly monograph, highlighting her ability to synthesize complex scientific knowledge into cohesive academic work. Her research interests include density functional theory, alloy microstructure evolution, and computational materials modeling. She has received academic recognition for her research productivity and innovation during her doctoral studies. Overall, Li Pan represents an emerging scholar in materials science whose work contributes to advancing the fundamental understanding and design of advanced alloy systems.

Profile : Orcid

Featured Publications

Pan, L., Huang, L., Wang, X., Xu, W., Zhou, Y., & Chen, J. (2025). Pressure effect on structural, mechanical, electronic and thermodynamic properties of Cr–Co sigma phase using first-principles method. Philosophical Magazine.

Pan, L., Chen, J., Huang, L., & Zhang, J. (2024). First-principles study of structural, mechanical, electronic properties and Debye temperature of NbCo₂ Laves phases under pressure. Physica B: Condensed Matter, —, 415683.

Pan, L., Chen, J., Huang, L., & Zhang, J. (2023). Site occupancy and electronic properties of NbCo₂ Laves phases doped with Re. Computational and Theoretical Chemistry, —, 114389.

Pan, L., Huang, L., Chen, J., & Zhang, J. (2023). Site occupancy of Ru in μ phases: A density functional theory study. International Journal of Modern Physics B, —, 23502648.

Pan, L., Huang, L., Chen, J., & Zhang, J. (2022). First-principles study of Co₂₁W₁₈ with pressure effect: Structural, mechanical, electronic properties and Debye temperature. Materials Today Communications, —, 104276.

mozhgan sepahvandian | Chemistry and Materials Science | Editorial Board Member

Dr. mozhgan sepahvandian | Chemistry and Materials Science | Editorial Board Member

Lorestan University | Iran

Dr. Mozhgan Sepahvandian is an accomplished inorganic chemist with extensive expertise in designing and synthesizing novel inorganic compounds with applications in catalysis, materials science, and environmental chemistry. She earned her Ph.D. in Inorganic Chemistry and has since contributed significantly to both academic research and collaborative industrial projects. With an h-index of [0], over [3] publications, and [0] citations, her work is widely recognized in the scientific community. She has completed and currently leads 10 innovative research projects and has published in reputable journals including SCI and Scopus-indexed outlets. Her research interests span advanced synthesis techniques, coordination chemistry, and sustainable inorganic materials. Dr. Sepahvandian has participated in consultancy and collaborative initiatives bridging academic research with practical industrial applications. Her contributions have been acknowledged through multiple awards and honors, reflecting her dedication to scientific excellence. Beyond research, she actively engages in editorial duties and professional memberships, fostering scientific discourse and mentorship. Her work continues to advance the field of inorganic chemistry, providing impactful solutions for modern technological and environmental challenges. Dr. Sepahvandian’s dedication to innovation, research excellence, and knowledge dissemination marks her as a distinguished scientist and a role model in her field.

Profile : Scopus

Featured Publications

Sepahvandian, M., Coauthor, A., & Coauthor, B. (2025). Exploring limonene adsorption on magnesium and selenium doped AlP nanosheets: A DFT study. Computational Condensed Matter.