Ali Vosoughi
Ali Vosoughi is a Ph.D. student in the Electrical and Computer Engineering Department at the University of Rochester. He is a scholar in the NRT NSF project for Augmented and Virtual Reality.
News
- – A paper is accepted in Nature, digital medicine. Congratulations to the team!
- – Congratulations on being nominated for the 2022 Donald M. and Janet C. Barnard Fellowship!
- – One paper is accepted in ICASSP 2022, track of Machine Learning. Thanks to our team!
- – Two papers accepted in Defense and Commercial Sensing, 2022! Congrats!
- – Four papers are accepted to SPIE. Congratulations to our team!
- – Our participation in NSF Research program on AR/VR
- – Codes for our Nature paper
- – A new paper on causal learning is accepted for publication in EUSIPCO 2021
- – New paper accepted to Scientific Reports, Nature
- – New paper on COVID-19 analysis using AI is accepted to Processings of SPIE! Congrats!
Projects
Computer vision on 3D objects (point clouds): jointly solving occlusion, shape completion, and tracking problems [website]
Causality inference and relational networks for large-scale datasets [website]
Change and anomaly detection in high-resolution images using Deep Learning [website]
Enhancing efficiency and success of side-channel information analysis using mutual information[website]
NP-Hard optimization using mixed-signal analog accelerators[website]
CMOS technologies for THz camera sensors [website]
Personal Gallery
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Ali Vosoughi 