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Salma Emara
Salma Emara
Assistant Professor, Teaching Stream at the University of Toronto
Verified email at ece.utoronto.ca - Homepage
Title
Cited by
Cited by
Year
Eagle: Refining Congestion Control by Learning from the Experts
S Emara, B Li, Y Chen
Proceedings of IEEE International Conference on Computer Communications …, 2020
382020
Pareto: Fair Congestion Control with Online Reinforcement Learning
S Emara, F Wang, B Li, T Zeyl
IEEE Transactions on Network Science and Engineering, 2022
142022
Low-Latency Network-Adaptive Error Control for Interactive Streaming
S Emara, S Fong, B Li, A Khisti, WT Tan, X Zhu, J Apostolopoulos
IEEE Transactions on Multimedia, 2021
142021
Low-latency network-adaptive error control for interactive streaming
SL Fong, S Emara, B Li, A Khisti, WT Tan, X Zhu, J Apostolopoulos
Proceedings of the 27th ACM International Conference on Multimedia, 438-446, 2019
132019
Well‐dispersed Au nanoparticles prepared via magnetron sputtering on TiO2 nanotubes with unprecedentedly high activity for water splitting
N Atef, S Emara, DS Eissa, A El‐Sayed, OAM Abdelraouf, NK Allam
Electrochemical Science Advances, e2000004, 2020
112020
Heterogeneous ITS architecture for manned and unmanned cars in suburban areas
S Emara, A Elewa, O Wasil, K Moustafa, NA Khalek, AH Soliman, ...
2018 IEEE 23rd International Conference on Emerging Technologies and Factory …, 2018
32018
Ivory: Learning Network Adaptive Streaming Codes
S Emara, F Wang, I Kaplan, B Li
2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS), 2022
22022
Method and apparatus for multiple reinforcement learning agents in a shared environment
Z Hu, TJ Zeyl, SSHM Emara, B Li, F Wang
US Patent App. 17/566,953, 2023
2023
Multi-Agent Deep Reinforcement Learning for Cooperative Edge Caching via Hybrid Communication
F Wang, S Emara, I Kaplan, B Li, T Zeyl
ICC 2023-IEEE International Conference on Communications, 1206-1211, 2023
2023
Sequential Decision-Making in Networking Algorithms Using Deep Reinforcement Learning
S Emara
University of Toronto (Canada), 2023
2023
Cascade: Enhancing Reinforcement Learning with Curriculum Federated Learning and Interference Avoidance—A Case Study in Adaptive Bitrate Selection
S Emara, D Liu, F Wang, B Li
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