Distinguished Foreign Lecture series organized by Institute of Engineering & Management, Kolkata

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With great pleasure, we announce you all that the Department of Electrical Engineering, Institute of Engineering & Management, Kolkata is organizing this Distinguished Foreign Lecture under IEMCONNECT program which is conducted every month by our institute. Prof. Thilo Stadelmann, Director of Center for Artificial Intelligence, ZHAW School of Engineering, Zurich Switzerland is invited to deliver a lecture. 

Prof. Thilo Stadelmann is a professor of artificial intelligence and machine learning at the ZHAW School of Engineering in Winterthur, director of the ZHAW Centre for Artificial Intelligence and head of its Computer Vision, Perception and Cognition Group. A computer scientist by training, he received his doctor of science degree from Marburg University in 2010, where he worked on multimedia analysis and voice recognition. Thilo worked in engineering and leadership roles in the automotive industry for 3 years prior to switching back to academia. His current research focuses on robust deep learning to solve diverse pattern recognition tasks such as biometrics, document analysis or computer vision for industrial and medical applications. He is fellow of the European Centre for Living Technology in Venice, Italy, co-founder and board member of Switzerland’s largest innovation network, the data innovation alliance, and of the ZHAW Datalab, one of Europe’s first dedicated research hubs for data science. His book “Applied Data Science – Lessons Learned for the Data-driven Business” was published 2019 by Springer, a pre-print on “A Theory of Natural Intelligence” that informs a future roadmap for machine learning research was released recently. He has 25 projects either completed or ongoing. He has published more than 70 articles in journals, conferences, books, monograph etc. His domain of Expertise and research interests includes  Artificial intelligence and machine learning: pattern recognition, computer vision, audio analysis. Current research interests: continual learning and less supervised learning in the context of deep neural networks and reinforcement learning to achieve robust learning systems; ethical and societal aspects of such systems.

He delivered a lecture on “Recent Cases with Deep Learning in Industry” which is very much pertinent to the era of Industry Automation. 

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