Journal of Emerging Trends in Artificial Intelligence

Dr. Alejandro Medina Santiago is a Researcher at the National Institute of Astrophysics, Optics and Electronics (INAOE), Mexico, under the National Council of Humanities, Sciences and Technologies (CONAHCYT). He received his Doctor of Science in Electrical Engineering from the Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV-IPN), specializing in VLSI integrated circuits, neural networks, and fuzzy logic. His research interests include Artificial Intelligence, Machine Learning, Internet of Things (IoT), Cybersecurity, Signal Processing, Robotics, Intelligent Control Systems, Embedded Systems, and Circuit Design. Dr. Medina has published numerous articles in high-impact journals including IEEE Access, Sensors, Applied Sciences, Sustainability, and IET Circuits, Devices & Systems, and has supervised several doctoral and master's theses.

Prof. Anton Iliev is a Professor and Chair of the Department of Computer Technology at the Faculty of Mathematics and Informatics, University of Plovdiv, Bulgaria. He earned his PhD from the University of Plovdiv in 2001 and previously served as Vice Rector of the University (2019–2023). His research focuses on informatics, mathematics, mathematical modelling, numerical methods, algorithms, and computational sciences. He is an active member of the Union of Bulgarian Mathematicians and the Association for Development Information Society and has authored more than 80 scientific publications in international journals, conference proceedings, and books.

Prof. Samir Ladaci is a Full Professor in the Department of Automatics at the National Polytechnic School of Algiers, Algeria. He is a Research Director and Head of the research group "Optimized Systems and Fractional Order Control." He obtained his Ph.D. in Electronics and Control from the University of Mentouri Constantine and later earned the HDR degree. He has more than 23 years of teaching and research experience, has supervised numerous Ph.D. and Master's students, and serves on several national scientific committees. He is an active reviewer and editorial board member for many international journals and has published extensively in the fields of control engineering and intelligent systems.

Prof. Dr. Jamal Raiyn is a researcher and academic in Applied Computer Science with expertise in artificial intelligence, data science, intelligent transportation systems, and cyber-physical systems. He received his Ph.D. from Leibniz University of Hannover, Germany, in Electrical Engineering and Computer Science. He also completed a postdoctoral fellowship at Technion – Israel Institute of Technology.

Dr. Raiyn has held several academic leadership roles including Head of the Computer Science Department and Dean of the Faculty of Science at Al Qasemi Academic College. He has also worked as a Research Fellow at the University of Applied Sciences Aschaffenburg and currently holds a Deputy Professorship at Frankfurt University of Applied Sciences.

His research focuses on AI-driven intelligent systems, autonomous vehicle technologies, traffic safety analysis, cybersecurity, and data science applications. He has participated in multiple European COST research actions and international collaborations. Dr. Raiyn has published extensively in international peer-reviewed journals and conferences and has contributed to interdisciplinary research in intelligent transportation, machine learning, and cyber-physical systems.

Dr. C. Ranjeeth Kumar is an academician and researcher in Computer Science and Engineering with expertise in Artificial Intelligence, Machine Learning, Deep Learning, and Computer Vision. He earned his Ph.D. in Information and Communication Engineering from Anna University, Chennai, India. He has served in various academic leadership and faculty positions, including Professor and Dean – Innovation & Entrepreneurship.

His professional activities encompass teaching, student mentorship, research supervision, innovation initiatives, and industry-oriented AI projects. Dr. Kumar has contributed extensively to research in intelligent systems and emerging AI technologies and actively supports scholarly communication through peer review and academic collaboration.

Dr. Zulfiqar Ali Zardari is an accomplished academic, researcher, and educationist from Sindh, Pakistan. He currently serves as the Head of the Department (HoD) at Begum Nusrat Bhutto Women University (BNBWU), Sukkur, where he plays a key role in academic leadership, curriculum development, and research advancement.

Dr. Zardari earned his PhD from China, specializing in the field of computing. His academic interests include core computer science disciplines such as algorithms, data structures, software engineering, and emerging technologies. He is also actively engaged in teaching undergraduate and postgraduate students, particularly in advanced computing subjects and information security.

With a strong commitment to academic excellence, Dr. Zardari has contributed to the development of higher education through teaching, supervision, and participation in scholarly activities. He is also involved in mentoring students and preparing them for professional and research careers.

Beyond his professional life, he is a dedicated family man. He is the father of two sons, Turab and Ammar, and values education and personal development both at home and in his professional environment.

Dr. Zardari continues to contribute to academia through research, teaching innovation, and academic leadership, aiming to uplift the standards of higher education in Pakistan.

Prof. (Dr.) Saurabh Singhal is a Professor in the Department of Computer Science & Engineering at Greater Noida Institute of Technology (Engineering Institute), Greater Noida, with over 19 years of combined academic and industry experience. He earned his Ph.D. in Cloud Computing from GLA University, Mathura, where his doctoral research focused on QoS-based multi-objective resource management in cloud environments using nature-inspired optimization algorithms. He also holds an M.Tech. in Computer Engineering and a B.Tech. in Information Technology.

Dr. Singhal’s research expertise lies in Cloud Computing, Distributed and Grid Systems, Fog Computing, Artificial Intelligence, Blockchain, and energy-efficient resource scheduling. His work primarily emphasizes metaheuristic optimization, intelligent load balancing, and secure, scalable architectures for next-generation computing infrastructures. He has published extensively in reputed SCI and Scopus-indexed journals. In addition to journal publications, he has authored and co-authored books and book chapters with leading international publishers such as Pearson, CRC Press, IGI Global, and Nova Science. He actively contributes to the research community as a reviewer and editor for several international journals and conferences.

Dr. Singhal has supervised multiple M.Tech. dissertations and is currently guiding doctoral research scholars. He is a professional member of IEEE and ACM and has been involved in curriculum development, academic governance, and postgraduate program coordination. His academic and research contributions reflect a sustained commitment to innovation, quality education, and advancing intelligent and energy-aware computing systems.

Dr. Tawseef Ayoub Shaikh is a Senior Assistant Professor at the Department of Computer Science & Engineering, National Institute of Technology (NIT: An Institute of National Importance), Srinagar, India. Before joining NIT Srinagar, he worked as an Assistant Professor in the CSE Department at Pandit Deen Dayal Energy University (PDEU), Gandhinagar, Gujarat. Also, he worked as an Assistant Professor (TEQIP-III, NPIU, MHRD) in the Computer Science Engineering Department at Baba Ghulam Shah Badshah University (BGSBU), Rajouri, Jammu & Kashmir, for three years. He was awarded a Visvesvaraya Ph.D. fellowship from MeitY (Ministry of Electronics and Information Technology, Media Lab Asia, GoI) to pursue his Ph.D. NPIU, MHRD, and JKSTIC have awarded him 6 fully funded projects, all of which have been completed. He has qualified UGC NET, GATE, and JKSLET in Computer Science Engineering/Applications. His research interests include Biomedical Data Analytics, Computer-Aided Diagnostics Tools for Precision Medicine, Healthcare Informatics, Pattern Recognition, and Machine Intelligence. He has published various journal and conference papers, book chapters etc. in reputed International Publication houses and has authored 4 books.