Raju S. Bapi is a professor and head of the Cognitive Science Lab, IIIT Hyderabad, India. He has over 20 years of teaching and research experience in AI, Machine Learning, Neural Networks, and Cognitive Science. He has extensive experience in applying neuroimaging methods to study brain function and developed methods for characterizing structure-function relation and implications for healthy aging as well as for neurodegenerative disorders. Recently he gave tutorial workshops along with colleagues on Brain Encoding and Decoding Methods at Cognitive Science Society Annual Conference (CogSci), International Joint Conference on Neural Networks (IJCNN), and International Joint Conference on Artificial Intelligence (IJCAI). 

Srikanth Ryali is a senior research scientist in the Department of Psychiatry and Behavioral Sciences at the Stanford University School of Medicine. Dr. Ryali’s research focuses on developing and applying advanced data analytic methods for functional magnetic resonance imaging (fMRI) data. He has developed deep learning-based foundation models predicting psychiatric disorders and clinical symptom severity. 

Rama Krishna Gorthi is a Professor in the Department of Electrical Engineering, at IIT Tirupati. He has expertise in the development and application of various image processing, computer vision, machine, and deep learning approaches for many real applications. His current research interests include image restoration, visual tracking, 3D reconstruction in active stereo, and deep learning applications in medical and satellite image processing. He served as Technical Programme Co-chair for Computer Vision and Image Processing (CVIP) 2022, 2023, and the National Conference on Communications (NCC) 2024. 

Neelam Sinha is a faculty at the Centre for Brain Research, an autonomous unit located within IISc campus at Bangalore. Her group works on applying signal processing/machine learning techniques on structural/functional MR images to understand and quantify neurodegeneration. Prior to this, she was a faculty member at IIIT-Bangalore. She was a part of the team that organized the workshop “Machine Learning for Neurodegenerative Disorders” at ISBI 2024. 

Chandra Sekhar Seelamantula is a Professor at the Department of Electrical Engineering, Indian Institute of Science (IISc), and a Visiting Professor at the Centre for Brain Research, IISc. His expertise is in signal/image processing, machine learning, and artificial intelligence. He is a recipient of the Outstanding Editorial Board Member award 2022 from IEEE Transactions on Image Processing (TIP). He is a Senior Area Editor of IEEE TIP and Editorial Board Member of Nature Scientific Data. He served as the General Chair of the International Conference on Signal Processing and Communications (SPCOM) 2020.