Mirza Mohd. Sufyan Beg is a Professor in the Department of Computer Engineering at Aligarh Muslim University, Aligarh. He earned his PhD in Computer Technology from IIT Delhi, an M.Tech. in Microelectronics from IIT Kanpur, and completed postdoctoral research at the University of California, Berkeley, USA, under the Berkeley Initiative in Soft Computing. His research spans web mining and search, fuzzy logic, soft computing, natural language processing, question answering systems, and high-performance data mining. He has an extensive publication record including numerous journal articles, book chapters with Springer, and international conference papers, and is a recipient of multiple best paper and academic excellence awards, including a university gold medal. He has served on editorial boards, international advisory committees, and technical program committees of major conferences, delivered invited talks across India, Europe, the USA, and the Middle East, and is a Senior Member of IEEE and a Fellow or life member of several leading professional bodies.

Prof. Girish Nath Jha is Professor of Computational Linguistics at Jawaharlal Nehru University (JNU), India, and serves at the School of Sanskrit & Indic Studies, with concurrent roles in Engineering, Linguistics, and e-Learning. He is the former Chairman of the Commission for Scientific and Technical Terminology (CSTT), Government of India, and has led major initiatives in Indian language corpora and standards. His research spans Indian languages, Sanskrit/Hindi linguistics, machine translation, digital humanities, lexicography, and localization technologies. Prof. Jha has authored numerous publications, supervised over 50 Ph.D. scholars, and collaborated with leading global academic and technology institutions.

Omar Farooq is a Professor in the Department of Electronics Engineering at Aligarh Muslim University (AMU), Aligarh, where he has been serving since joining the department as a Lecturer in 1992. He earned his B.Sc. and M.Sc. Engineering degrees from Z.H. College of Engineering and Technology, AMU, and received his PhD from Loughborough University, UK, as a Commonwealth Scholar, followed by a UKIERI postdoctoral fellowship. His research interests lie in signal processing, with particular emphasis on speech recognition and biomedical signal processing. He has authored more than 290 publications in refereed journals and international conferences and has successfully supervised twelve doctoral scholars. Professor Farooq is a Fellow of the Acoustical Society of India and the Institution of Electronics and Telecommunication Engineers, and a Senior Member of IEEE.

Dharavath Ramesh is an Associate Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology (ISM) Dhanbad, with over 15 years of experience in teaching, research, and academic leadership. His research interests span distributed systems, cloud and distributed computing, blockchain technology, machine learning, and big data analytics, with applications in agriculture, healthcare, and digital infrastructure. He has led and contributed to several funded research projects supported by national and international agencies, including SERB (Government of India), MeitY, and the PMU Cybersecurity Center, Saudi Arabia. His scholarly output includes multiple patents and more than 90 publications in reputed journals and publishers such as IEEE Transactions, ACM, Elsevier, and Springer. He also holds international visiting and collaborative roles with institutions including the University of Aberdeen (UK), Warsaw University of Technology (Poland), and the University of Southampton (UK), and actively contributes to doctoral supervision, curriculum development, and executive training programmes. He is a Senior Member of IEEE and ACM.

Dr. Neelesh Kumar is a Senior Scientist at Procter & Gamble in Cincinnati, Ohio (USA), where he develops multimodal AI algorithms—integrating sensors, computer vision, and biological (omics) data—to decode complex consumer behaviors and accelerate product innovation. He earned his Ph.D. in Computer Science from Rutgers University in 2022, under the supervision of Prof. Konstantinos Michmizos, specializing in brain-inspired computing and robotics. Dr. Kumar’s research bridges the gap between biological intelligence and artificial systems. His doctoral work focused on designing neurophysiologically interpretable deep neural networks for EEG-based Brain-Computer Interfaces (BCIs) and energy-efficient, population-coded spiking neural networks (SNNs) for neuromorphic robotic control. His contributions have been published in prestigious venues, including NeurIPS, IROS, CORL, ICRA, and TMLR.

Dr. Chandni Saxena is a researcher at The Chinese University of Hong Kong, working in Social Network Analysis, Natural Language Processing, Graph Learning, and AI in Education. Her research integrates network science and machine learning for mental health analytics, complex systems modeling, and educational assessment. She has published in leading venues including Physica A, IEEE Signal Processing Magazine, Neural Computing and Applications, LREC, and major NLP conferences. Her contributions span causal analysis of mental health discourse, graph-based learning, hate speech detection, and multimodal AI for healthcare and bioinformatics.