Colloquium Talks

The juxtaposition of pattern representations is reconfigured at each layer of a multi-layered perceptron. As the activity propagates through the network, the representations are transformed through a systematic progression such that the representation at the penultimate layer is computable at the final stage (e.g., linearly separability for a classification task). 

As an instructor of introductory programming courses (007,401 445, 449) at Pitt and similar courses other universities Prof. Hoffman has consistently encountered math hesitancy to the presentation of complexity analysis. In this talk, he will convey an anecdote - a fascinating story in computer science surrounding the binary search algorithm. 

 Manos Athanassoulis is an Assistant Professor of Computer Science at Boston University, Director and Founder of the BU Data-intensive Systems and Computing Laboratory and co-director of the BU Massive Data Algorithms and Systems Group.

Tomas Singliar, University of Pittsburgh CS PhD class of 2008, is a business quantitative scientist with experience in forecasting, inventory, pricing and profitability.

Henry Chai is a postdoctoral teaching fellow at Carnegie Mellon University where he teaches an assortment of courses titled "Introduction to Machine Learning" at various levels. He will deliver a faculty recruiting colloquium on Tuesday, March 15th. 

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.

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.