Dr. Prakash Raghavendra Senior Fellow, AMD, Bangalore India Dr. Prakash Raghvendra is a distinguished technology leader with over 25 years of experience in advanced computing, application performance engineering, compiler optimization, and high-performance computing (HPC). Dr. Raghvendra currently serves as a Senior Fellow at AMD (Advanced Micro Devices) in Bengaluru, Karnataka, a role he has held since July 2022. In this capacity, he works on cutting-edge application performance engineering for AMD's server products. His work plays a critical role in optimizing AMD's hardware for demanding, real-world applications, contributing to the company’s position as a leading innovator in the semiconductor industry. Key Strengths & Areas of Expertise: ● Application performance engineering, particularly for server solutions ● High-performance computing (HPC) and deep learning optimization ● Compiler design, profiling, and software optimization ● Advanced systems architecture, including kernel development and compiler/Java systems ● Deep expertise in OpenCL/HSA compilers and optimizing for APUs (Accelerated Processing Units) ● Leadership in driving technology innovations within global teams and strategic projects
Dr. Indranath Chattergy Manchester Metropolitan University, Manchester, UK Dr. Indranath Chatterjee is working as an Assistant Professor in the Department of Computer and Mathematics at Manchester Metropolitan University, Manchester, UK. Before that, he worked as a professor at Tongmyong University, Busan, South Korea. He received his Ph. D. in Computational Neuroscience from the Department of Computer Science, University of Delhi, Delhi, India. His research areas include Computational Neuroscience, Schizophrenia, Medical Imaging, fMRI, and Machine learning. He has authored and edited 13 books on Computer Science and Neuroscience published by renowned international publishers. To date, he has published numerous research papers in international journals and conferences. He is a recipient of various global awards in neuroscience. He is currently serving as a Chief Section Editor of a few renowned international journals and serving as a member of the Advisory board and Editorial board of various international journals and Open-Science organizations worldwide. He is presently working on several projects of government & non-government organizations as PI/co-PI, related to medical imaging and machine learning for a broader societal impact, in collaboration with several universities globally. He is an active professional member of the Association of Computing Machinery (ACM, USA), Organization of Human Brain Mapping (OHBM, USA), Federations of European Neuroscience Society (FENS, Belgium), Association for Clinical Neurology and Mental Health (ACNM, India), and International Neuroinformatics Coordinating Facility (INCF, Sweden).
Dr. Kumar Rajamani Associate Director, Cropin Technologies Private Limited. Dr. Kumar Rajamani is currently working as Associate Director at Cropin Technologies Private Limited. Prior to this, he was Senior Manager Algorithm at KLA Tencor, Senior Scientist at Philips Research. He completed his Postdoctoral Researcher at Institute of Medical Informatics, University of Luebeck, Germany. His research during the Postdoctoral stint was on Medical Deep learning, specifically advanced architectures for medical image segmentation (COVID-19 lesion segmentation) using attention mechanisms. Kumar has worked earlier with several Multi-National companies - Robert Bosch, GE Global Research (GRC), Philips Research He also was full time into Academic research and Teaching for two years with Amrita Vishwa Vidyapeetam. His research focus includes Deep Learning, AgriTech, Remote Sensing, Medical Imaging, Semiconductor Wafer Inspection, Machine Learning, Image Analysis. He has nine patents to his credit. Kumar completed his Ph.D. in Biomedical Engineering from University of Bern, Switzerland.
Dr. Srikanth Prabhu Professor, School of Computer Science and Engineering, MIT, Manipal Dr. Srikanth Prabhu is a distinguished academician and researcher at the Manipal Institute of Technology (MIT), Manipal Academy of Higher Education (MAHE). He holds M.Sc., M.Tech., and Ph.D. degrees from the Indian Institute of Technology (IIT) Kharagpur. With a career dedicated to advancing the frontiers of computer science, Dr. Prabhu specializes in areas such as pattern recognition, fuzzy logic, image processing, parallel processing, biometric authentication, and explainable artificial intelligence (XAI). He has authored over 150 research publications in reputed national and international journals and conferences. His recent work includes pioneering contributions to homomorphic encryption-based fingerprint authentication, multimodal biometric systems integrating ECG, fingerprint, and finger knuckle print, and AI-driven diagnostic frameworks for diseases such as COVID-19, Alzheimer’s, and Parkinson’s. He has also applied deep learning techniques to ECG signal analysis and plant disease classification. Dr. Prabhu continues to play a vital role in teaching, mentoring, and research at MIT, MAHE, where he is committed to fostering innovation and excellence in computer science and engineering.