Bio:
Nitesh Chawla, PhD is the Frank M. Freimann Professor of Computer Science and Engineering and the Founding Director of the Lucy Family Institute for Data and Society at University of Notre Dame. His research is focused on artificial intelligence, data science, and network science, and is motivated by the question of how technology can advance the common good through interdisciplinary research. He is a Fellow of IEEE, ACM, AAAI, and AAAS. He is the recipient of multiple awards including National Academy of Engineers New Faculty Fellowship, IEEE CIS Outstanding Early Career Award. IBM Big Data & Analytics Faculty Award; and the 1st Source Bank Technology Commercialization Award. He is co-founder of Aunalytics, a data science software and cloud computing company.
Available Lectures
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Harnessing Artificial Intelligence for Scientific Discovery: Challenges and Opportunities in Chemistry
Artificial Intelligence (AI) is rapidly advancing scientific research across fields, with graph neural networks (GNNs) and large language models (LLMs), particularly those trained on multimodal...
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Learning from Imbalanced Data: Progress and Challenges
Despite over two decades of progress, imbalanced data is still considered a significant challenge for contemporary machine learning models. With modern advances and rapid developments in deep...
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Learning on Graphs
Graphs are ubiquitous across a variety of use-cases, and have emerged as a powerful means of representing complex systems. Graph Neural Networks have demonstrated exceptional effectiveness in...
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Traversing the Journey of Data and AI: From Convergence to Translation
In this talk, I will present our work on fundamental advances in AI, inspired by interdisciplinary problem statements and societal challenges. I will also highlight our innovation journey that...
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