SCIS set to host new interdisciplinary lunch series
Fall 2020 iLunch series – Fridays (12:00 pm – 1:00 pm)
i^3 = interesting, interdisciplinary, interactive
The School of Computing and Information Science is hosting an interdisciplinary seminar series to be held on Fridays throughout the Fall 2020 semester. Topics relating to artificial intelligence (AI) and machine learning (ML), such as talks in the areas of neural networks, robotic control and prediction models.
September 25, 2020: Probabilistic Safety Constraints for Robotic control.
Speaker: Vikas Dhiman, University of California in San Diego
October 2, 2020: A Fourier Framework for Feature Selection.
Speaker: Mohsen Heidari, Purdue University
October 9, 2020: AI with Rules.
Speaker: Torsten Hahmann, University of Maine
October 16, 2020: Modelling Connectivity: An Alternative Approach to Neural Network Compression.
Speaker: Madan R. Ganesh, UMichigan / UMaine (Sekeh Lab)
October 23, 2020: Fundamental Limits of Deep Graph Convolutional Networks.
Speaker: Abram Manger, University at Albany (SUNY)
October 30, 2020: A function space view of overparameterized neural networks.
Speaker: Greg Ongie, Marquette University (Milwaukee)
November 6, 2020: Adversarial Machine Learning in the Wild.
Speaker: Theodore Nowak, Pacific Northwest National Laboratory
November 13, 2020: Role of Prediction Models in Object Tracking.
Speaker: Suren Kumar, Amazon
November 20, 2020: A Concentration of Measure Approach to Social Network Deanonymization.
Speaker: Farhad Shirani, North Dakota State University
November 27, 2020: (TBA).
Speaker: Ali Shirazi, University of Maine
December 4, 2020: (TBA).
Speaker: Caitlin Howell, University of Maine
Please joins us for these seminars through the iLunch Series Zoom link (meeting password: 155012)
Meeting ID: 967 4410 7270
For questions email: firstname.lastname@example.org