|Professor Chiranjib Bhattacharyya
Professor, Machine Learning Lab
Department of Computer Science and Automation,
Indian Institute of Science, Bangalore, India.
Chiranjib Bhattacharyya is currently Professor in the Department of Computer Science and Automation (CSA), Indian Institute of Science. His research interests are in Machine Learning, Optimisation and their applications to Industrial problems. He joined the Department of CSA, IISc, in 2002 as an Assistant Professor. Prior to joining the Department he was a postdoctoral fellow at UC Berkeley. He holds BE and ME degrees, both in Electrical Engineering,from Jadavpur University and the Indian Institute of Science, respectively, and completed his PhD from the Department of Computer Science and Automation, Indian Institute of Science.
|Dr. Ajit Rajwade
Department of Computer Science and Engineering,
IIT Bombay, India.
Ajit Rajwade is currently Associate Professor in the Department of Computer Science and Engineering, IIT Bombay. Prior to joining the Department he was a postdoctoral fellow at Duke University, Durham, North Carolina between Jan 2011 and July 2012. He holds master's degree in computer science from McGill University, Montreal, Canada, and completed his PhD from the Department of Computer and Information Science and Engineering at the University of Florida, Gainesville. His research interests are in Compressed sensing, Medical Imaging: Reconstruction in MRI, CT, diffusion MRI/HARDI, and Image and video compression using machine learning and sparse representations, inpainting based methods.
|Dr. M. Tanveer
Associate Professor and Ramanujan Fellow
Discipline of Mathematics,
IIT Indore, India.
M. Tanveer is Associate Professor and Ramanujan Fellow at the Discipline of Mathematics of the Indian Institute of Technology, Indore. Prior to that, he spent one year as a Postdoctoral Research Fellow at the Rolls-Royce@NTU Corporate Lab of the Nanyang Technological University, Singapore. He received the Ph.D degree in Computer Science from the Jawaharlal Nehru University, New Delhi, India. His research interests include support vector machines, optimization, applications to Alzheimer's disease and dementias, biomedical signal processing, and fixed point theory and applications. He is the Section Editor of Smart Science, Taylor & Francis and Editorial Review Board member of Applied Intelligence, Springer (International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies). He has also co-edited one book in Springer on machine intelligence and signal analysis.
|Professor Shyamanta M Hazarika
Professor, Biomimetic Robotics and Artificial Intelligence Lab,
Department of Mechanical Engineering,
Indian Institute of Technology Guwahati, India.
Shyamanta M Hazarika is currently Professor in the Department of Mechanical Engineering, Indian Institute of Technology Guwahati. His primary research interest is in Rehabilitation Robotics. This translates into interest in Artificial Intelligence, Bio-mimetic Prosthetics, and Neurorehabilitation. He joined the Department of Mechanical Engineering, IITG in 2017 as a Professor. Prior to joining IITG he was with the Department of Computer Science and Engineering, Tezpur University wherein he had established the Biomimetic and Cognitive Robotics Lab. In Winter 2009, he had been a Vertretungsprofessur (substitute `Full' Professor) of Cognitive Systems & NeuroInformatics, FB3 - Informatik, University of Bremen, Germany. He holds BE in Mechanical Engineering from Assam Engineering College, Guwahati, India; M.Tech in Robotics from Center for Robotics, Indian Institute of Technology, Kanpur, India and completed his PhD from School of Computing, University of Leeds, England.
Advances of machine learning in data analytics & visual information processing, Multimedia Tools and Applications, Springer
Computational Biology and Biomedical Informatics, a Springer-Nature's Journal of Computer Science (SNCS).