Applied Data Science Invited Speakers

The Applied Data Science Invited Talks will provide a venue for leading experts in the world of applied data mining and knowledge discovery. These invited talks will feature highly influential speakers who have directly contributed to successful data mining applications in their respective fields. The talks and discussions will focus on innovative and leading-edge, large-scale industry or government applications of data mining in areas such as finance, health-care, bio-informatics, public policy, infrastructure, telecommunications, social media and computational advertising.


Keynote: Nitesh Chawla

Nitesh Chawla

University of Notre Dame

Nitesh Chawla is the Frank Freimann Professor of Computer Science and Engineering at the University of Notre Dame. In June 2020, he was appointed the founding director of the University’s Lucy Family Institute for Data & Society. He directs the Notre Dame Center for Network and Data Science (CNDS) and the Data Inference Analytics and Learning Lab (DIAL). Chawla joined the Notre Dame faculty in 2007. His research focuses on machine learning, data science, and network science. He is at the frontier of interdisciplinary applications with innovative work in healthcare analytics, social and information networks, business analytics, national security, and climate/environmental sciences. He received his PhD from University of South Florida.

KDD 2020 | Invited Speakers: - Nitesh Chawla

Applied Data Science Invited Speakers

The Applied Data Science Invited Talks will provide a venue for leading experts in the world of applied data mining and knowledge discovery. These invited talks will feature highly influential speakers who have directly contributed to successful data mining applications in their respective fields. The talks and discussions will focus on innovative and leading-edge, large-scale industry or government applications of data mining in areas such as finance, health-care, bio-informatics, public policy, infrastructure, telecommunications, social media and computational advertising.


Keynote: