Electrical and Computer Engineering Program
June 7th
- Session title – New Computational Platforms for Learning
- 9:00-9:40 – Tushar Krishna (Georgia Tech) – “An Open Source Framework for Generating Modular DNN Accelerators supporting Flexible Dataflow”
- 9:40-10:20 – Saibal Mukhopadhyay (Georgia Tech) – “Energy-efficient Machine Learning at the Edge: A Hardware Perspective ”
- break
- 11:00-11:40 – Ryan Kim (CMU) = “Machine Learning-Inspired Manycore Chip Design: Interconnect Architecture to Power Management“
- 11:40-12:20 – Diana Marculescu (CMU) – “Hardware‐Aware Machine Learning: Modeling and Optimization”
- 12:30-1:30 – lunch/posters
- 1:30-2:30 – plenary
- Session title – Machine Learning for Autonomy and Robotics
- 2:30-3:10 – Byron Boots (Georgia Tech) = “Learning Perception and Control for Agile Off-Road Autonomous Driving”
- 3:10-3:50 – David Held (CMU) – “Robot Learning through Motion and Interaction”
- break
- 4:30-5:10 – Zsolt Kira (Georgia Tech) – “Towards Goal-Directed and Lifelong Learning for Robot Perception”
- 5:10-5:50 – Lujo Bauer (CMU) – “Physical-world attacks on ML +“
June 7th
- Session title – ML for IoT, Healthcare, and Sustainability
- 9:00-9:40 – Marilyn Wolf (Georgia Tech) – “Caring Analytics for Long-Term Care of People with Special Needs“
- 9:40-10:20 – Niraj Jha (Princeton ) – “Smart Healthcare”
- break
- 11:00-11:40 – Tarek Abdelzaher (UIUC) – “Deep Learning Solutions for IoT Systems“
- 11:40-12:20 -Radu Marculescu (CMU) – “Social Sensing”
- 12:30-1:30 – lunch/posters
- 1:30-2:30 – plenary
- Session title – Machine Learning in Social Media/Networks
- 2:30-3:10 -Negar Kiyavash (UIUC) – “TBA“
- 3:10-3:50 -Kathleen Carley (CMU) – Bots Brokering Beliefs and Business
- break
- 4:30-5:10 -Giulia Fanti (CMU) – “Anonymity in Bitcoin’s Peer-to-Peer Network“
- 5:10-5:50 -Siheng Shen (Uber) – “Data science with graphs: A signal processing perspective“
Posters
Mark Blanco (CMU) – “Reinforcement Learning for Thermal and Power Management in Mobile Multicore Systems“
Ermao Cai (CMU) – “Learning-based Power and Runtime Modeling for Convolutional Neural Networks”
Zhuo Chen (CMU) – “Distributed Reinforcement Learning for Power Limited Many-core System Performance Optimization”
Sanghamitra Dutta (CMU), Haewon Jeong (CMU) — “Reliable Machine Learning Using Unreliable Components: From Matrix Operations to Neural Networks”
Jeong Haewon (CMU) – “Reliable Machine Learning Using Unreliable Components: From Matrix Operations to Neural Networks“
Ke-Jou Hsu (Georgia Institute of Technology) – “Fast Video Processing on Distributed Edge with Machine Learning Application”
Arun Rajagopalan (Illinois Institute) – “On the Improved Estimation of Living Space Occupancy using Human Poses Inferred with Computer Vision and Deep Learning to Automate Comfort Controls”
Yanqing Zhang (Georgia State University) – “Online Mental Illness Detection Based on Continual Tweets Using Decision Trees”