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 holds an M.Pharm in Pharmaceutics from Galgotias University, India, and serves as an Assistant Professor in the Department of Pharmacy at Vivekanand Global University. He is actively engaged in teaching and interdisciplinary research spanning nano-formulation, artificial intelligence, machine learning, big data analytics, IoT, blockchain, cancer biology, and neuroscience.Mr. Singh has made substantial scholarly contributions, authoring one book with IOP Publishing, five book chapters with River Publishers, and 28 review articles in reputed journals, including high-impact publications in Biochimica et Biophysica Acta (BBA) – Reviews on Cancer. In addition, he has authored and edited 58 books with leading publishers such as Elsevier, CRC Press, and Wiley. Known for his research acumen and leadership, Mr. Singh is committed to advancing pharmaceutical sciences through innovation and interdisciplinary collaboration, with a focus on impactful healthcare solutions.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.

• 1. An Overview of Artificial Intelligence-Based Imaging Techniques2. Identification and evaluation of low-grade gliomas in the brain using machine learning3. Cognitive therapy for brain diseases using deep learning models4. Machine Intelligence in Clinical Neuroscience5. Brain Informatics, by NL Swathy, Department Of Pharmacy Practice6. Alzheimer's Disease Diagnosis using Artificial Intelligence7. AI-enabled assistance support to Alzheimer Patients8. Adolescents with serious depressive disorder: AI for detecting mental disorders9. Modelling cognitive impairment in Parkinson s patients using deep learning10. Parkinson’s disease diagnosis using AI11. Artificial Intelligence shaping the future of neurology practice12. Convergence of Artificial Intelligence and Neuroscience for Neurological Disorder Diagnosis13. Early detection and prediction of brain tumurs in human patients using deep learning14. Using deep learning to identify Brain tumors15. Combining artificial intelligence and neuroscience to diagnose and predict neurological diseases16. The role of AI in neuroethics and patients’ privacy