M. K. Dutta is a Professor of Computer Science & Engineering & Currently Director of the “Amity Centre for Artificial Intelligence” & and also the Dean, Student Research in Amity University. He is a Visiting Professor in the Department of Telecommunications, BRNO University of Technology, Czech Republic. He is also Ex-Director of Centre for Advanced Studies, Lucknow (An Autonomous Uttar Pradesh State Government Research Centre) where he had established a state of Labs including a very high end AI lab and led many AI projects and supervised many PhD / M.Tech Students in the Centre. His research interest include Machine Learning and Deep learning : architectures and Applications of Machine Learning/Deep Learning, Computer Vision, Pattern Recognition, Bio-Medical Signal Processing applications, Multimedia Signal Processing and Audio Signal processing.
He has strong international cooperation with scientist from USA, UK, Canada, Australia, Spain, Czech Republic, Korea, Costa Rica, Germany, Spain, Republic of Macedonia, Taiwan, China and have co-authored many research articles with them. Professor Dutta has co-authored 330 + indexed research papers in reputed international journals and conferences. He was involved as Principal investigator for 6 funded research projects and also has filed 10 Patents for his inventions. He has guided 5 PhD students (and 6 ongoing) and 21 M.Tech Dissertations. He was Conference Chair of two prestigious IEEE sponsored International conferences and he is in the reviewer panel and editorial panel of many prestigious journals. He has contributed through innovative work for the welfare of the society using the technological interventions which has huge societal benefit.
Some of his important contribution was use of Artificial intelligence in clinical problems like automatic identification of retinal diseases digital fundus image, Classification of trabecular bone structure of Osteoporotic Patients from X-ray images using Machine Learning.
He has also developed methods to identify major cardiac and pulmonary diseases using machine learning applications in body auscultation signals. He has important contributions in Artificial intelligence applications in contemporary biological applications like to identify the presence of cancer causing elements like acrylamide in Carbohydrate content food i.e. potato chips using computer vision and machine learning. His another notable contribution was to identify from fish images the freshness and also if the fish was exposed to toxic substances like pesticides and heavy metals like mercury. Other contribution of Prof Dutta was to find the effect of EMF radiation from mobile phones and cell towers on the human brain using computer vision and machine learning. A significant contribution was for the pandemic COVID-19, in which a machine learning model is designed for the classification of COVID patient and non COVID patients using chest X-ray images and was used for Screening COVID patients during the early days of the pandemic. Another philanthropic work Prof Dutta is involved in is to develop an “Assistive device to impart perceptual ability to visually impaired using intelligent scene captioning” in which an assistive device is designed using deep learning to recognize the objects which are highly relevant for visually impaired person. Prof. Dutta has worked in many AI related projects in the areas of Healthcare, Agriculture, Food Technology, Marine sciences etc.
