Artificial Intelligence in Brain Disorders

Dr. Pranav Kumar Prabhakar is currently working as a Professor and Head at Department of Biotechnology, School of Engineering and Technology, Nagaland University, Meriema, Kohima, Nagaland, India. He is among the World’s Top 2% Scientists (list published by Stanford University, USA, 2021, 2022, 2023, 2024, and 2025). He completed his PhD in Biotechnology from IIT Madras. His research focuses on elucidating molecular mechanisms and strategies for oral insulin delivery and mimicking signaling pathways in metabolic disorders (diabetes) using natural products. Dr. Pranav is a member of the Royal Society of Chemistry and the Asia-Pacific Chemical, Biological & Environmental Engineering Society. He serves as an editorial board member and reviewer for many reputed national and international journals. His honors include a travel grant from IIT Madras and the Council for Scientific and Industrial Research (CSIR) to attend ATTD 2009 in Greece, approved by the Department of Science and Technology (DST). He has published over 160+ research articles, authored/edited 24 books, and 48 book chapters, and delivered 9 oral and poster presentations at scientific meetings.

Arun Kumar Singh has completed his Master of Pharmacy (M. Pharm) in Pharmaceutics from Galgotias University, Greater Noida, India. Currently, he is serving as an Assistant Professor in the Department of Pharmacy at Vivekanand Global University, where he is actively engaged in both teaching and research.

His research interests encompass a wide range of emerging and interdisciplinary fields, including nano-formulation, blockchain technology, the Internet of Things (IoT), machine learning, cancer biology, artificial intelligence, big data analytics, and neuroscience. Demonstrating a strong commitment to academic excellence, Mr. Singh has made significant contributions to the scientific community.

He has authored one book with IOP Publishing and has contributed five book chapters in the field of big data with the prestigious River Publishers, Denmark. Furthermore, he has published 28 review articles in reputed journals, including two high-impact papers in Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. His research work reflects a cumulative impact factor of 95.6, underlining the quality and influence of his scholarly contributions.

In addition to journal publications, Mr. Singh has authored and edited 58 books with internationally recognized publishers such as IOP Publishing, Elsevier, CRC Press, and Wiley, demonstrating his broad expertise and dedication to advancing knowledge in pharmaceutical sciences and related areas.

Mr. Singh is known for his exceptional research skills, innovative thinking, leadership qualities, effective decision-making, and positive outlook. His diligent work ethic and unwavering commitment to academic and research excellence set him apart as an extraordinary professional in his field.

With a passion for driving innovation and fostering interdisciplinary collaboration, Arun Kumar Singh continues to contribute to the growth of pharmaceutical sciences and aims to make a lasting impact in healthcare and technology-driven research.

Prateek Agrawal is professor and deputy dean at the School of Computer Science & Engineering, Lovely Professional University, Phagwara, Punjab, India. His research areas include natural language processing, computer vision, video processing, expert systems, deep learning applications, and other related topics. He is a senior member of IEEE and core member of IEEE India Council for Sustainable Development Activity, and is also a member of different reputed organizations like IET, MIR lab, and IAENG among others. Dr. Agarwal has published over 70 research papers in Scopus/SCIE indexed journals and conferences, 60 national patents, five edited books, and 10 book chapters. He is book series editor of the IOP series on next generation computing, and is a reviewer for many SCIE journals like Multimedia tools and Applications, Plos One, PeerJ, Oxford computer science, IEEE Access, and Ambient Intelligent & Humanized Computing.

Radu Prodan is professor of distributed systems at the Institute of Information Technology (ITEC), University of Klagenfurt, Austria. He was an associate professor at the University of Innsbruck until 2018. His research interests include performance, optimization, and resource management tools for parallel and distributed systems, as well as middleware system tools for cloud, fog, and edge computing. He has participated in numerous projects, including coordinating the Horizon 2020 project ARTICONF. He has coauthored over 200 publications and received three IEEE best paper awards. He is a member of ACM.