Talks
Upcoming:
July 2024, Keynote Speaker at IEEE International Symposium on Information Theory Workshop on Learning to Compress, Athens, Greece
Oct. 2024, Tutorial on "Emerging inverse problems in computational imaging" at 2024 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates
Selected recent invited talks and tutorials:
AI for emerging inverse problems in computational imaging
Half- day Tutorial, AAAI conference, Vancouver, Canada
Emerging computational imaging inverse problems: from theory to algorithms
Foundations of Information, Networks, and Decision Systems (FIND) Seminar, Cornell University, April. 2024.
UPenn, June 2024
Mathematical underpinnings of emerging computational imaging inverse problems
Electrical Engineering Department, Princeton University, Nov. 2023
Electrical and Computer Engineering Department, NYU, Oct. 2023
ISL Colloquium, Stanford University, May 2023
Non-invasive blood viscosity estimation using ultrasound videos of carotid blood flow
Research Ideation Forum on AI/M, Rutgers University, Nov. 2022
Towards theoretically-founded structure learning
Invited session on Information Theory for Modern Statistics and Machine Learning, Information Theory Workshop, Mumbai, India, Nov. 2022
Machine Learning Seminar, Google research, New York, NY, May 2019
On synergy between deep learning and information theory
Electrical and Computer Engineering Department, Rutgers University, Feb. 2022
Using compression codes for efficient data acquisition
Plenary talk at Workshop on the Intersection of Information Theory and Signal Processing: New Signal Models, their Information Content and Acquisition Complexity