Ali Younis
ayounis (at) uci (dot) edu
ABOUT
I am a fourth-year PhD student in Computer Science at the University of California, Irvine, advised by Professor Erik Sudderth. My research interests are probabilistic graphical models, non-parametric belief propagation, sequence models as well as other machine learning/computer vision fields. Previously, I worked as a software engineer at Modal AI, a software engineer at Tyvak (now Terran Orbital) and as an intern at Qualcomm. I received an M.S. in Computer Science and a B.S. in Computer Science and Engineering from the University of California, Irvine.
PUBLICATIONS
A. Younis, E. Sudderth. "Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes"
Ali Younis, Erik B. Sudderth
Neural Information Processing Systems (Neurips), 2023
Paper · Poster · Video
A Decoder Suffices for Query-Adaptive Variational Inference
Sakshi Agarwal, Gabriel Hope, Ali Younis, Erik B. Sudderth
Uncertainty in Artificial Intelligence (UAI), 2023
Abstract · Paper · Supplement · Poster · Video
Vigilia: Securing Smart Home Edge Computing
Rahmadi Trimananda, Ali Younis, Bojun Wang, Bin Xu, Brian Demsky, Guoqing Xu
IEEE ACM Symposium on Edge Computing (SEC), 2018
Paper
POSTERS
Securing Smart Home Devices against Compromised Cloud Servers
Rahmadi Trimananda, Ali Younis, Thomas Kwa, Brian Demsky
USENIX Workshop on Hot Topics in Edge Computing (HotEdge), 2020
Paper · Poster