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Introducing Prof. Amit Sethi

We are delighted to welcome Professor Amit Sethi to IIT Bombay family. He joined the department of Electrical Engineering this year.

He completed his bachelor degree in Electrical Engineering from Indian Institute of Technology Delhi in the year 1999. He then took an MS degree in General Engineering  from the University of Illinois at Urbana-Champaign in 2001 and followed it up with a PhD in Electronics and Communication in 2006 from the same institute. He has served in capacity of Assistant Prof EEE  with IIT Guwahati and as a  Consultant with  ZS Associates Chicago.

His Research Interests are in the field of computer vision, image processing and machine learning. Talking about his area of specialization and the and the impact that it can have on near future he say that Ihe is working in deep learning, which has shown great potential for use in artificial intelligence applications applied to images, videos, speech, text, and medical data. He is working on specifically applying deep learning to cancer pathology. He along with his team is  trying to develop tests that will use whole slide scans of tissue samples that would otherwise be observed under a microscope. These tests will be conducted by computers running on AI code and will be able to do more accurate and precise tests than humanly possible by combining multiple data modalities. For example, we will be able to predict the chance of success of various cancer treatment options by examining tissue images.

Talking about his plans at IIT Bombay and and specific aim that he wants to achieve he mentions that he  would like IITB to become a center of excellence for deep learning and computational pathology. Towards this end, he is  working with other faculty members to bring about a national deep learning hardware facility to IITB. He is also working to develop close partnership with hospitals like Tata Memorial.  He further say, that the first specific outcome of these efforts will be to develop and validate a test to predict the outcome of prostate cancer treatments more accurately and precisely.

Speaking on plans of engaging the students inside the class as well as interaction outside the class he says that he likes to give students examples from his own research while teaching a course to make the topics more relevant. He says that he  also likes to engage with them on social media. He is looking forward  to run study groups in his area of research which students from outside the group can also join.

About his interest he says that he is avid squash player. He also  likes to read about economic development and well being of the masses and what conditions have enabled that in various countries and lessons to be drawn for India. He likes to draw upon his  experience as a management consultant to keep his research focused on practical outcomes.