Prof. Ram Bilas Pachori

FIEEE, FIET, FAAIA
Indian Institute of Technology Indore, India

Dr. Ram Bilas Pachori (FIEEE, FNAE, FIET, FAAIA, FIETE, FIE) is currently Institute Chair Professor and Professor (HAG) in the Department of Electrical Engineering at IIT Indore, India. He is also Adjunct Professor in the Department of Electronics & Communication Engineering at Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, India. His research interests include signal and image processing, biomedical signal processing, non-stationary signal processing, speech signal processing, brain-computer interface, artificial intelligence and internet of things in healthcare, and machine learning for signal processing. He has 404 publications, which include journal articles (260), conference papers (102), books (12), and book chapters (30). He has also 10 patents, including 07 granted (01 Australian patent and 06 Indian patents) and 03 filed (Indian patents). His publications have been cited more than 21,500 times with h-index of 80 according to Google Scholar. He is IEEE EMBS Distinguished Lecturer and Academy Mentor for EURASIP Academy. Currently, he is Associate Editor of Electronics Letters, Computers and Electrical Engineering, and Biomedical Signal Processing and Control. He is also serving as Deputy Editor-in-Chief of IETE Journal of Research, Handling Editor of Signal Processing, and Editor of IETE Technical Review journal.

Prof. Kenji Suzuki

Institute of Science Tokyo, Japan

Kenji Suzuki, Ph.D. worked at Hitachi Medical Corp, Aichi Prefectural University, Japan, as a faculty member, in Department of Radiology, University of Chicago, as Assistant Professor, and Medical Imaging Research Center, Illinois Institute of Technology, as Associate Professor (Tenured). He is currently a Full Professor (Tenured) & Founding Director of Biomedical Artificial Intelligence Research Unit, Institute of Integrated Research, Institute of Science Tokyo, Japan. He published more than 395 papers (including 125 peer-reviewed journal papers). He has been actively researching on deep learning in medical imaging and AI-aided diagnosis in the past 25 years, especially his early deep-learning model was proposed in 1994. His papers were cited more than 16,000 times, and his h-index is 63. He is inventor on 37 patents (including ones of earliest deep-learning patents), which were licensed to several companies and commercialized via FDA approvals. He published 16 books and edited 20 journal special issues. He has been awarded numerous grants including NIH, NEDO, and JST grants, totaling $8M. He serves as Editors of more than 20 leading international journals including Pattern Recognition and AI. He chaired 110 international conferences. He is a Fellow of IARIA. He received 25 awards, including 3 Best Paper Awards in leading journals.

 

Yoshiaki Yasuno leads Computational Optics Group at the University of Tsukuba. He obtained his PhD based on his research work of spatio-temporal optical computing in 2000 and extend this conception to optical measurement including Fourier-domain optical coherence tomography (OCT). Since 2003 he has been working for ophthalmic OCT imaging, including retina and anterior eye. He has also actively worked for OCT angiography and polarization sensitive OCT. His current research interests cover multi-functional optical coherence microscopy, its augmentation by using computational technologies, and theoretical modeling of modern metrology.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Prof. Yoshiaki Yasuno

University of Tsukuba, Japan