Session Index
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Lecture Sessions |
Wednesday March 22, 2023 (08:30-09:00) |
Welcome to CISS2023 – Opening Remarks Chair: Laureano Moro-Velazquez - Johns Hopkins University; |
Wednesday March 22, 2023 (09:00-10:00) |
Applications of Information Theory I Chair: Sanghamitra Dutta - University of Maryland; |
Data Science in Medicine & Biology I Chair: Najim Dehak - Johns Hopkins University; |
Applied Machine Learning I Chair: Thomas Thebaud - Johns Hopkins University; |
Theory of Equivariant Machine Learning I - Invited Special Session Chair: Soledad Villar - Johns Hopkins University; David Hogg - NYU; |
Distributed & Robust Machine Learning I - Invited Special Session Chair: Cong Shen - University of Virginia; |
Learning for Optimization & Control I - Invited Special Session Chair: Enrique Mallada - Johns Hopkins University; Mahyar Fazlyab - Johns Hopkins University; |
Wednesday March 22, 2023 (10:20-11:20) |
Applications of Information Theory II Chair: Sanghamitra Dutta - University of Maryland; |
Data Science in Medicine & Biology II Chair: Najim Dehak - Johns Hopkins University; |
Applied Machine Learning II Chair: Thomas Thebaud - Johns Hopkins University; |
Theory of Equivariant Machine Learning II - Invited Special Session Chair: David Hogg - NYU; Soledad Villar - Johns Hopkins University; |
Distributed & Robust Machine Learning II - Invited Special Session Chair: Cong Shen - University of Virginia; |
Learning for Optimization & Control II - Invited Special Session Chair: Enrique Mallada - Johns Hopkins University; Mahyar Fazlyab - Johns Hopkins University; |
Wednesday March 22, 2023 (11:30-12:30) |
Plenary I - Tracking COVID-19 in Real-Time: Challenges Faced & Lessons Learned Chair: Laureano Moro-Velazquez - Johns Hopkins University; |
Wednesday March 22, 2023 (14:00-15:00) |
Channel Coding Chair: Brint Cooper - Johns Hopkins University; Steven Jones - Johns Hopkins University; |
Data Science in Medicine & Biology III Chair: Pablo Iglesias - Johns Hopkins University; |
Low Power Autonomous & Smart Systems I - Invited Special Session Chair: Tinoosh Mohsenin - UMBC; |
Information-theoretic Methods for Machine Learning I - Invited Special Session Chair: Flavio Calmon - Harvard University; |
Federated Learning Algorithms & Applications I - Invited Special Session Chair: Sanjay Purushotham - UMBC; |
Learning for Optimization & Control III - Invited Special Session Chair: Mahyar Fazlyab - Johns Hopkins University; Enrique Mallada - Johns Hopkins University; |
Wednesday March 22, 2023 (15:20-16:20) |
Ciphers & Keys Chair: Swastik Brahma - University of Cincinnati; |
Energy Systems Chair: Mahdi Mehrtash - Johns Hopkins University; |
Low Power Autonomous and Smart Systems II - Invited Special Session Chair: Tinoosh Mohsenin - UMBC; |
Information-theoretic Methods for Machine Learning II - Invited Special Session Chair: Flavio Calmon - Harvard University; |
Federated Learning Algorithms & Applications II - Invited Special Session Chair: Sanjay Purushotham - UMBC; |
Learning for Optimization & Control IV - Invited Special Session Chair: Mahyar Fazlyab - Johns Hopkins University; Enrique Mallada - Johns Hopkins University; |
Wednesday March 22, 2023 (17:30-19:30) |
Welcome Reception Chair: TBA |
Thursday March 23, 2023 (09:00-10:00) |
Wireless Communications I Chair: Mojtaba Vaezi - Villanova University; |
Signal Processing I Chair: Tugba Erpek - Virginia Tech; |
Andreas Andreou - Invited Special Session Chair: Andreas Andreou - Johns Hopkins University; |
Recent Advancements in Optimization Methods for Machine Learning I - Invited Special Session Chair: Nicolas Loizou - Johns Hopkins University; |
Communications & Security for Machine Learning Networks- Invited Special Session Chair: Arlene Cole-Rhodes - Morgan State University; |
The Interplay Between Learning, Optimization, & Control I - Invited Special Session Chair: Li Na - Harvard University; Guannan Qu - CMU; |
Thursday March 23, 2023 (10:20-11:20) |
Wireless Communications II Chair: Mojtaba Vaezi - Villanova University; |
Signal Processing II Chair: Tugba Erpek - Virginia Tech; |
Machine Learning I Chair: Matthew Wiesner - Johns Hopkins University; |
Recent Advancements in Optimization Methods for Machine Learning II - Invited Special Session Chair: Nicolas Loizou - Johns Hopkins University; |
The Interplay Between Learning, Optimization, & Control II - Invited Special Session Chair: Guannan Qu - CMU; Li Na - Harvard University; |
Thursday March 23, 2023 (11:30-12:30) |
Plenary II - Guess What? Guessing Random Additive Noise Decoding Chair: Brint Cooper - Johns Hopkins University; |
Thursday March 23, 2023 (14:00-15:00) |
Networks I Chair: Andrey Garnaev - Rutgers; |
Trojans & Byzantines Chair: Yingbo Hua - University of California, Riverside; |
Machine Learning II Chair: Anqi Liu - Johns Hopkins University; Matthew Wiesner - Johns Hopkins University; |
Computer Vision, AI & Robotics on Medical Applications - Invited Special Session Chair: Richard Jaepyeong Cha - George Washington University School of Medicine; |
Foundational Advances in Reinforcement Learning I - Invited Special Session Chair: Alec Koppel - University of Pennsylvania; |
Novel Approaches to Support Energy Systems: Analysis & Learning I - Invited Special Session Chair: Sijia Geng - Johns Hopkins University; Yury Dvorkin - Johns Hopkins University; |
Thursday March 23, 2023 (15:20-16:20) |
Networks II Chair: Lei Cao - University of Mississippi; |
Hardware Implications Chair: Philippe Pouliquen - Johns Hopkins; |
Machine Learning III Chair: Anqi Liu - Johns Hopkins University; |
Neuromorphic Perception & Action - Invited Special Session Chair: Cornelia Fermuller - University of Maryland; |
Foundational Advances in Reinforcement Learning II - Invited Special Session Chair: Alec Koppel - University of Pennsylvania; |
Novel Approaches to Support Energy Systems: Analysis & Learning II - Invited Special Session Chair: Yury Dvorkin - Johns Hopkins University; Sijia Geng - Johns Hopkins University; |
Thursday March 23, 2023 (17:30-19:30) |
Reception Chair: TBA |
Friday March 24, 2023 (09:00-10:00) |
Plenary III - Foundations for Feature Learning Via Gradient Descent Chair: Mahyar Fazlyab - Johns Hopkins University; |
Friday March 24, 2023 (10:00-11:00) |
Networks III Chair: Marie Therese Siew - Carnegie-Mellon; |
Optimization, Systems & Control I Chair: Holden Lee - Johns Hopkins University; |
Computer Vision & Image Processing I Chair: Paris Giampouras - Johns Hopkins University; |
Advanced Image Formation Algorithms in Tomographic X-ray Imaging - Invited Special Session Chair: Alejandro Sisniega - Johns Hopkins University; |
Estimation & Learning in Stochastic Systems I - Invited Special Session Chair: James Spall - Johns Hopkins University - APL; |
Optimization & Control of Network & Distributed Energy Resources I - Invited Special Session Chair: Mads Almassalkhi - The University of Vermont; |
Friday March 24, 2023 (11:20-12:20) |
Optimization, Systems & Control II Chair: Holden Lee - Johns Hopkins University; |
Computer Vision & Image Processing II Chair: Paris Giampouras - Johns Hopkins University; |
Estimation & Learning in Stochastic Systems II - Invited Special Session Chair: James Spall - Johns Hopkins University - APL; |
Optimization & Control of Network & Distributed Energy Resources II - Invited Special Session Chair: Mads Almassalkhi - The University of Vermont; |
Friday March 24, 2023 (12:20-12:40) |
Closing Remarks Chair: Mahyar Fazlyab - Johns Hopkins University; |
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