Tensymp 2020

New

Amlan Chakrabarti, PhD

Professor, A.K.Choudhury School of Information Technology, University of Calcutta, India
SMIEEE

Short Bio:

Amlan Chakrabarti is a Full Professor in the A.K.Choudhury School of Information Technology at the University of Calcutta. He was a Post-Doctoral fellow at the School of Engineering, Princeton University, USA during 2011-2012. He has almost 20 years of experience in Engineering Education and Research. He is the recipient of DST BOYSCAST fellowship award in Engineering Science (2011), Indian National Science Academy (INSA) Visiting Faculty Fellowship (2014), JSPS Invitation Research Award (2016), Erasmus Mundus Leaders Award (2017), Hamied Visiting Professorship from University of Cambridge, UK (2018) and Siksha Ratna Award by Dept. of Higher Education Govt. of West Bengal (2018). He has also served in various capacities in various higher education organizations both at national and international levels. He has published around 150 research papers in referred journals and conferences and has graduated 12 Ph.D. students. He is an Associated Editor of the Elsevier Journal of Computers and Electrical Engineering and Guest Editor of the Springer Journal of Applied Sciences. He is a Sr. Member of IEEE and ACM, IEEE Computer Society Distinguished Visitor, Distinguished Speaker of ACM, Secretary of IEEE CEDA India Chapter, Member of International Water Association, Vice President of Data Science Society and Life Member of CSI India. His areas of research are Machine Learning, Computer Vision, Reconfigurable Computing, VLSI CAD and Quantum Computing.

Title:

Trends in Computer-Aided Diagnosis Using Deep Learning

Abstract:

This lecture will discuss the potential and challenges in developing CAD tools using deep learning technology or artificial initelligence in general. Use of deep learning based computer vision techniques for achieving detection, classification and risk prediction of various abnormilities for different medical imaging modalities will be briefed with interesting case studies.