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Department: Department of Computer and Industrial Production Engineering
Affiliation: Computer and Industrial Production Engineering, Abiola Ajimobi Technical University Formerly Tech-U, Ibadan
Designation: Senior Lecturer
Email:Country: Nigeria
Sunday Adeola Ajagbe recently completed his PhD in the Department of Computer Engineering, Ladoke Akintola University of Technology (LAUTECH), Ogbomoso Nigeria, and a Senior Lecturer, at Abiola Ajimobi Technical University (formerly First Technical University) Ibadan, Ibadan, Nigeria. He obtained M.Sc. and B.Sc. in Information Technology and Communication Technology respectively at the National Open University of Nigeria (NOUN), and his Masters of Philosophy and Postgraduate Diploma in Computer Engineering and Electronics and Electrical Engineering respectively at LAUTECH. His specialization includes Applied Artificial Intelligence, Natural Language Processing (NLP), information security, data science, and the IoT and smart devices. He is also licensed Engineering by the Council for the Regulation of Engineering in Nigeria (COREN) as a professional electrical engineer, and a professional member of the IEEE, and International Association of Engineers (IAENG). Engr Ajagbe was among the Top 2% world scientists ranked in 2025 by Stanford University, USA in collaboration with Elsevier. He has many publications to his credit in reputable academic databases.
Affiliation: Computer Science and Engineering, Jahangirnagar University, Savar
Department: Department of Computer Science and Engineering
Designation: Researcher
Email:Country: Bangladesh
Safiul Haque Chowdhury is a Research Assistant under the project ICSETEP D67. An ADB funded project in the Department of Computer Science and Engineering at Jahangirnagar University, Bangladesh. He completed his B.Sc. in Computer Science and Engineering from Bangladesh University with a strong academic record and a thesis focused on explainable AI for liver disease diagnosis. He has authored over 30 journal and conference publications in machine learning, deep learning, explainable AI, biomedical applications, and privacy-preserving data science. His research contributions span liver disease detection, diabetes risk prediction, brain tumor analysis, maternal health risk assessment, and more. Professionally, he served as a Machine Learning Team Lead at Orion Informatics Ltd., contributing to AI model development, optimization, and team leadership. He also has significant teaching experience as an ICT lecturer for higher secondary students.
Affiliation: Research and Development, Charter University, Dhaka
Department: Department of Research and Development
Designation: Professor of Science
Email:Country: Bangladesh
Prof. (H.C.) Engr. Dr. S M Nazmuz Sakib is a multidisciplinary researcher, inventor, and academic with expertise spanning artificial intelligence, machine learning, digital health, cybersecurity, blockchain, information technology, engineering, business analytics, and healthcare technologies. He has authored 34 scholarly publications, secured multiple international patents, and actively contributes to interdisciplinary research involving AI applications in healthcare, medical technologies, environmental science, and computational systems. He is a Fellow of the Scholars Academic and Scientific Society, an Associate Member of the Bangladesh Computer Society, and a Life Member of the Bangladesh English Language Teachers Association (BELTA). His research focuses on developing intelligent technologies that address healthcare, cybersecurity, and real-world engineering challenges.
Affiliation: Research and Development, Probel Software and Information Systems Inc, Izmir
Department: Research and Development Department
Designation: Researcher
Email:Country: Turkey
Dr. Bita Ghasemkhani is a researcher in artificial intelligence, with a focus on machine learning. She holds a PhD from Dokuz Eylül University, Izmir, Turkey, and has contributed to several high-ranked journals as both an author and reviewer. Her work integrates advanced machine learning techniques to address real-world challenges across industrial and healthcare domains.