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

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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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

Rima Isaifan | Sustainable Development | Research Excellence Award

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Assoc. Prof. Dr. Rima Isaifan | Sustainable Development | Research Excellence Award

Georgetown University and Ministy of Higher Education Qatar | Qatar

Dr. Rima J. Isaifan is a distinguished chemical and environmental engineer, researcher, and higher-education quality assurance expert with a Ph.D. with highest honor in Chemical Engineering. She holds an h-index of26, with 65 peer-reviewed research documents and over 1,844 citations, reflecting sustained global research impact. Her academic experience spans associate professorships, adjunct appointments, and senior academic accreditation leadership roles across internationally recognized institutions, alongside extensive service as an evaluator, rapporteur, and expert reviewer for the European Commission, United Nations bodies, and national research agencies. Her research interests integrate air quality and climate change, decarbonization technologies, renewable and sustainable energy systems, nanotechnology and advanced materials, carbon management, urban sustainability, and AI applications in higher education quality assurance and policy. She has contributed to high-impact Q1 journals, interdisciplinary policy-oriented research, and applied sustainability solutions relevant to arid and rapidly urbanizing regions. Her professional excellence has been recognized through multiple international awards, including innovation and research distinctions in higher education quality assurance, sustainability, and environmental research. Through her combined roles in academia, policy, and consultancy, Dr. Isaifan continues to advance evidence-based decision-making, sustainable development practices, and globally relevant frameworks linking science, technology, and education quality, positioning her as a leading voice at the intersection of environmental engineering, climate-health research, and academic governance.

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Zohaib Khan | Engineering and Technology | Excellence in Research Award

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Dr. Zohaib Khan | Engineering and Technology | Excellence in Research Award

Jiangsu University | China

Zohaib Khan is a PhD candidate in Control Science and Engineering at Jiangsu University, specializing in machine learning–driven perception and control for intelligent robotic systems. With over six years of research and applied experience, his work bridges deep learning, computer vision, and real-time robotic control, with a strong focus on agricultural robotics and precision farming. He has authored more than 10 high-impact SCI-indexed journal articles, achieving an h-index of 6, with 11 research documents and 121 citations. His research interests include object detection and segmentation (YOLO series, transformer-based models, RCNN), vision-guided navigation, precision spraying, and robust control of autonomous robots in unstructured environments. Zohaib has contributed as both first and co-author to leading journals such as Computers and Electronics in Agriculture, Agronomy, Sensors, and IEEE Transactions on Industrial Electronics. Alongside research, he has extensive experience supervising student projects and developing real-time AI pipelines using Python, PyTorch, OpenCV, ROS, and C/C++. His academic excellence is recognized through multiple national and international awards, including innovation, debate, and research excellence honors. Overall, Zohaib Khan represents a strong blend of theoretical rigor and practical AI deployment, aiming to advance large-scale industrial and agricultural perception systems.

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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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Ibrahim Khalil Kabir | Engineering and Technology | Best Researcher Award

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Mr. Ibrahim Khalil Kabir | Engineering and Technology | Best Researcher Award

King Fahd University of Petroleum and Minerals | Saudi Arabia

Ibrahim Khalil Kabir is a control and robotics researcher working at the intersection of control theory and artificial intelligence, with a strong focus on learning-based robotics, socially aware navigation, and human–robot interaction. He holds an MSc in Systems and Control Engineering and a BEng in Mechatronics Engineering, with a solid academic record and advanced training in autonomous systems. His research experience spans graduate teaching and research assistantships, where he contributed to robot path planning, navigation, and hands-on laboratory instruction using real robotic platforms. His scholarly output includes peer-reviewed journal and conference publications covering UAV control, mobile robot navigation, deep reinforcement learning, and socially aware robotic systems. According to Google Scholar, his research profile reflects an emerging h-index supported by multiple indexed documents and a steadily growing citation count, indicating increasing impact in robotics and intelligent control research. His work has appeared in reputable venues such as IEEE Access, Machine Learning and Knowledge Extraction, and IEEE conferences. He has received several academic honors, including national merit scholarships and highest GPA awards. Overall, his research trajectory demonstrates a strong foundation and growing influence in intelligent robotics, positioning him well for advanced doctoral research in learning-enabled autonomous systems.

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Ganiyat Salawu | Engineering and Technology | Research Excellence Award

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Dr. Ganiyat Salawu | Engineering and Technology | Research Excellence Award

University of KwaZulu-Natal,Durban | South Africa

Dr. Ganiyat Abiodun Salawu is a mechanical and mechatronics engineer and researcher with strong expertise in advanced manufacturing systems, robotics, renewable energy technologies, and intelligent engineering solutions. She holds a PhD in Mechanical Engineering (Mechatronics and Robotics) from the University of KwaZulu-Natal, South Africa, following earlier degrees in mechanical engineering and education from Nigerian institutions. Her academic and professional career spans lecturing, postgraduate supervision, research coordination, and postdoctoral research, with extensive experience in both university and polytechnic systems. Her research interests focus on disruptive manufacturing technologies, IoT-based systems, renewable energy optimization, smart automation, tribology, composite materials, and sustainable engineering design. Dr. Salawu has authored over 20 peer-reviewed journal and conference publications, with an approximate h-index of 3, and over 20 cumulative citations based on available scholarly records. She has received multiple competitive research grants, including TETFund institutional and doctoral awards, and was honored with an Award of Excellence as Best Researcher by the University of KwaZulu-Natal. Through impactful research, supervision, and innovation-driven teaching, she continues to contribute significantly to engineering education, sustainable technology development, and applied industrial research in Africa and beyond.

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Featured Publications

Dike Chijindu P.; Sam Obu C.V.; Imuran A.S.; Salawu G.A.; Shuaib A.A. (2025).
Production and Mechanical Evaluation of Bio-Composite Materials from Coconut, Palm Kernel and Periwinkle Shells as an Alternative to Grinding Wheel Production.

International Journal of Applied and Advanced Engineering Research, Vol. 8, No. 5, 2025

Jimoh A.A.; Iromini N.A.; Oladuntoye Q.O.; Ajiteru S.O.; Salawu G.A. (2024).
Design and Deployment of an Internet of Things Based Weather Station for Real-Time Monitoring of Environmental Conditions.

International Journal of Earth Design and Innovation Research, Vol. 3, No. 4, 2024

Dike Chijindu P.; Sam Obu C.V.; Imuran A.S.; Salawu G.A.; Shuaib A.A.; Afolabi A.A. (2025).
Investigating the Mechanical Performance of Offshore Wind Turbine Towers Using Finite Element Analysis for Sustainable Renewable Energy.

Journal of Engineering, Logical and Modelling Research, 2025

Investigation of Technical Feasibility and Efficiency of Wi-Fi Based Internet of Things Remote Monitoring and Control of Home Appliances.

International Journal of Science Research and Technology, Vol. 6, No. 9, pp. 121–135, 2024

Design and Development of Internet of Things Based Weather Station for Real-Time Monitoring of Environmental Conditions.

International Journal of Earth Design and Innovation Research, Vol. 3, No. 4, pp. 66–75, 2024