Liudmila Alexandrova | Biology and Life Sciences | Research Excellence Award

Dr. Liudmila Alexandrova | Biology and Life Sciences | Research Excellence Award

EIMB RAS | Russia

Liudmila A. Alexandrova is a senior researcher at the Engelhardt Institute of Molecular Biology, Russian Academy of Sciences (EIMB RAS), with a distinguished career spanning molecular biology, bioorganic and medicinal chemistry. She graduated from Lomonosov Moscow State University and completed postgraduate studies at EIMB RAS, followed by international postdoctoral research in Czechoslovakia and Germany as an Alexander von Humboldt Foundation Fellow. Her research focuses on the mechanisms of action of antiviral, antibacterial, and antifungal agents, with particular emphasis on the design and synthesis of nucleosides and nucleotides modified by heterocyclic bases and carbohydrate fragments.  She has contributed to and led competitive research projects, including a Russian Science Foundation grant  and has received two awards from the Russian Academy of Sciences. An experienced mentor, she has supervised four PhD dissertations and more than 35 diploma theses, currently guiding postgraduate researchers. Her scholarly record is documented through international research profiles underscoring her lasting contributions to antimicrobial drug discovery and nucleoside chemistry.


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Kamal Reddad | Advanced Materials Engineering | Research Excellence Award

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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Featured Publications


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)

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

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

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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Featured Publications


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

Ajung Heo | Social Sciences | Best Researcher Award

Ms. Ajung Heo | Social Sciences | Best Researcher Award

Sogang University | South Korea

Ajung Heo is a dedicated researcher and Ph.D. candidate at Sogang University Business School, focusing on international business and cross-cultural management. She holds an M.A. in Business Administration from Pusan National University and a B.A. in Management from the City University of New York. Her research explores how digital strategies, innovation appropriability, and organizational behavior influence the competitiveness and international expansion of multinational enterprises. Ajung Heo’s publications, including “Search better, export stronger: the role of appropriability and digital strategy in South Korea,” highlight her contributions to understanding global business dynamics. She has also engaged in collaborative projects that integrate theory with practice, fostering innovation and managerial relevance. Her academic excellence and commitment to global research advancement have earned her recognition as a promising scholar in international business studies. Through her work, she continues to bridge research and real-world application, contributing valuable insights to global enterprise development and sustainable business practices.

Profile : Google Scholar 

Featured Publications

Heo, A.-j., & Yoo, C.-y. (2024). The impact of entrepreneurial orientation on export performance: The moderating effects of exploratory and exploitative activities. Journal of Trade Studies, 49(4), 295–319.

Heo, A.-j., Yoo, D.-b., & Ham, S.-h. (2025). The impact of talent-preferential policies on organizational commitment: The moderated mediating effects of job satisfaction and rational organizational culture. Journal of Management Research, 40(1), 103–122.

Heo, A.-j., Yoo, C.-y., & Lee, K.-p. (2025). A study on dual organizational identity among local employees of multinational corporation subsidiaries in Korea. Journal of Management Studies, 54(1), 55–80.

Yoo, C.-y., Park, Y.-s., & Heo, A.-j. (2024). Organizational staffing policy and organizational identification of host country nationals working at MNC subsidiary in Korea. Journal of International Trade and Commerce, 17–32.

Heo, A.-j., Lee, K.-p., & Yoo, C.-y. (2024). An exploratory study on the dual organizational identity of local employees of multinational corporation subsidiaries. Proceedings of the Korean Management Association Convergence Conference, 384–410.

Xiaoqian Liu | Social Sciences | Best Researcher Award

Ms. Xiaoqian Liu | Social Sciences | Best Researcher Award

Xinjiang University | China

Dr. Xiaoqian Liu is a dedicated researcher at Xinjiang University specializing in sustainable urban transportation systems, traffic optimization, and smart mobility solutions. Her academic contributions focus on integrating operational efficiency with passenger-oriented design to enhance the functionality of public transport and parking systems. She has authored two publications indexed in Scopus, with an h-index of 1 and 2 citations. Her study, Integrated Optimization of Feeder Bus Timetables and Vehicle Scheduling Considering Passenger Heterogeneity: Implications for Sustainable Urban Transit and Land Use Efficiency (Applied Sciences), explores optimizing feeder bus operations through advanced scheduling models that account for passenger diversity and land-use interaction. she co-authored Analysis of Preparation Mechanism of Electrospun Nanofiber Yarns in the Wool Textile Journal, showcasing her interdisciplinary approach bridging material science and industrial process optimization. Dr. Liu’s research highlights data-driven modeling, multi-objective optimization, and sustainable infrastructure development within the broader scope of social and environmental systems. Through her publications and collaborative efforts, she contributes to advancing smart city transport planning, efficient bus-network scheduling, and environmentally responsible mobility frameworks, reflecting a commitment to innovation and applied research excellence in the social sciences and engineering interface.

Profile : Scopus

Featured Publications

Liu, X. (2025). Integrated optimization of feeder bus timetables and vehicle scheduling considering passenger heterogeneity: Implications for sustainable urban transit and land use efficiency. Applied Sciences, 15(19), 10715.

Tesfamichael Derso | Social Sciences | Young Researcher Award

Mr. Tesfamichael Derso | Social Sciences | Young Researcher Award

Bahir Dar University | Ethiopia

Mr. Tesfamichael Derso is a historian and researcher specializing in Ethiopian history, heritage management, and social integration, with more than nine years of experience in teaching, research, and community service. He holds a MA in History from the University of Gondar and a BA in History and Heritage Management from Wolita Sodo University. Since he has taught history at the secondary level, and since he has served as a university lecturer at Bahir Dar University, where he delivers lectures, designs and grades assessments, leads review sessions, supervises student learning, and carries out scholarly research. His publications include four articles in peer-reviewed and Scopus-indexed journals on topics such as ethnic interaction, Iddir institutions, forestry history, infrastructure development, and the impact of the Fascist Italian occupation in Gondar. His research interests include interethnic relations, heritage and indigenous institutions, environmental history, colonial and wartime impacts, and local community identity. He has also participated in seminars and training in research ethics, conservation, leadership, and manuscript restoration. Among his recognitions is the Young African Fellowships Award from CODESRIA and the Mastercard Foundation.

Profile : Orcid

Featured Publications

Derso, T. F. (2025). Fascist Italian occupation and its impact on Ethiopia: The case of Gondar, 1936 to 1941. National Identities, 24(4), 1–24.

Derso, T. F. (2024). Ethnic interaction and integration in Gondär (Ethiopia): The case of the Amhara and Tigre, 1930–1970s. Cogent Arts & Humanities, 11(1), 2330177.

Derso, T. F. (2024). Forest and forestry in Gondar (Ethiopia) from 1938 to 1991: Utilization, opportunities, and constraints. Israel Journal of Ecology and Evolution, 1–10.

Fentie, T. (2023). Iddir in Gondar: Historical development and its role in promoting social interaction among different ‘ethno-linguistic’ groups (1936–1994). Ethiopian Journal of Social Sciences, 9(1), 45–63.

Fentie, T. (2023). An assessment of road and bridge construction in Simen and Begemider province, 1963–1991. Ethiopian Journal of Social Sciences, 9(2), 75–90.