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Colloquium Talks
March 14, 2022
March 14th Colloquium: AI for Social Impact: Learning and Optimization in Network and Combinatorial Spaces -- Haipeng Chen
Haipeng Chen is a CRCS postdoctoral fellow at Harvard University.
March 8, 2022
March 8th Colloquium: Database Design Theory and Normalization -- Sara Riazi
Sara Riazi is a visiting assistant professor in the Department of Computer Science at the University of North Carolina-Charlotte. She will deliver a faculty recruiting colloquium talk on Tuesday, March 8th.
March 7, 2022
March 7th Colloquium: Probabilistic Commonsense Knowledge in Language -- Xiang Li
Lorraine (Xiang Li) is a final-year Ph.D. candidate at UMass Amherst working with Andrew McCallum. She will deliver a faculty recruiting colloquium on Monday, March 7th.
February 25, 2022
February 25th Colloquium: Causal Targeting - It's not Causal Effect Estimation (and Why it Matters) -- Foster Provost
Foster Provost is Ira Rennert Professor of Entrepreneurship, Data Science, and Information Systems and Director, Fubon Center, Data Analytics & AI, at the Stern School of Business at New York University. He will deliver a colloquium talk on Friday, February 25th at 2 p.m.
February 24, 2022
February 24th Colloquium: Self-Balancing Binary Search Trees -- Tiago Januario
Tiago Januario is a lecturer and researcher at the Department of Computer Science, Institute of Mathematics and Statistics, University of Bahia, Salvador, Brazil. He will deliver a faculty colloquium talk on February 24th.
February 18, 2022
February 18 CS Colloquium: Virtual Reality and Metaverses: Challenges for the next years -- Esteban Clua
Esteban Clua is a professor at Universidade Federal Fluminense (Brazil) and coordinator of UFF Medialab, Scientist of the State of Rio prize in 2019 and Young Scientist of the State of Rio in 2009 and 2013.
February 11, 2022
February 11 CS Colloquium: Collaboration, Context, and Computing Science: Unlocking Next-Generation AI-Solutions for Complex Societal and Environmental Needs -- Kelly Rose
Kelly Rose, PhD, is a Geo-Data Scientist with over 20 years of service and research experience at the U.S. Department of Energy’s National Energy Technology Laboratory (NETL).
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