Harnessing Artificial Intelligence for Healthcare

03/07/2023 @ 10:30 AM – 11:30 AM
Gilman Hall: Gilman 50 (Marjorie Fisher Auditorium)
Mishka Colombo

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“Harnessing Artificial
Intelligence for Healthcare


Sushmita Mitra is a full professor at the Machine Intelligence Unit (MIU), Indian Statistical Institute, Kolkata. From 1992 to 1994 she was in the RWTH, Aachen, Germany as a DAAD Fellow. She was a Visiting Professor in the Computer Science Departments of the University of Alberta, Edmonton, Canada; Meiji University, Japan; and Aalborg University Esbjerg, Denmark. Dr. Mitra received the National Talent Search Scholarship (1978-1983) from NCERT, India, the University Gold Medal in 1988, the IEEE TNN Outstanding Paper Award in 1994 for her pioneering work in neuro-fuzzy computing, the CIMPA-INRIA-UNESCO Fellowship in 1996, and Fulbright-Nehru Senior Research Fellowship in 2018-2020. She was the INAE Chair Professor during 2018-2020. Dr. Mitra has been awarded the prestigious J. C. Bose National Fellowship, 2021.

Dr. Mitra is the author of the books “Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing” and “Data Mining: Multimedia, Soft Computing, and Bioinformatics” published by John Wiley, and “Introduction to Machine Learning and Bioinformatics”, Chapman & Hall/CRC Press, beside a host of other edited books. Dr. Mitra has guest edited special issues of several journals, is an Associate Editor of “IEEE/ACM Trans. on Computational Biology and Bioinformatics“, “Information Sciences“, “Fundamenta Informatica“, “Computers in Biology and Medicine“, SN Computer Sciences and is a Founding Associate Editor of “Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery (WIRE DMKD)“. She has more than 150 research publications in referred international journals. According to the Stanford List, Dr. Mitra is ranked among the top 2% scientists worldwide in the domain of Artificial Intelligence and Image Processing.

Dr. Mitra is a Fellow of the IEEE, The World Academy of Sciences (TWAS), Indian National Science Academy (INSA), International Association for Pattern Recognition (IAPR), Asia-Pacific Artificial Intelligence Association (AAIA), and Fellow of the Indian National Academy of Engineering (INAE) and The National Academy of Sciences, India (NASI). She serves as a Member of the Inter-Academy Panel Panel for Women in STEMM. She has visited more than 30 countries as a Plenary/Invited Speaker or an academic visitor. She served in the capacity of General Chair, Program Chair, Tutorial Chair, of many international conferences; was the Chair, IEEE Kolkata Section (2021-2022) and an IEEE CIS Distinguished Lecturer. Her current research interests include data science, machine learning, soft computing, medical image processing, and Bioinformatics.




“Harnessing Artificial
Intelligence for Healthcare

The talk will focus on the role of Artificial Intelligence and Learning in the domain of healthcare. Topics like Genomics, Radiomics, Radiogenomics, and Personalized Medicine will be discussed in this perspective. Some research applications made by our group in these areas will be described. These include segmentation and survival prediction in GBM tumors from MRI scans of the brain; screening of covid -19 from X-ray images of the lungs; and early detection of diabetic retinopathy from fundus images of the eye.



JHU - Institute for Computational Medicine