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Biotech entrepreneur and vaccine leader Charles Tsan-Jian Chen to ...

https://cst.temple.edu/news/2023/05/biotech-entrepreneur-vaccine-leader-charles-tsan-jian-chen-receive-honorary-degree-cst-graduation-ceremony

Charles Tsan-Jian Chen, a world leader and entrepreneur in the biotech industry with more than four decades of accomplishments in developing, producing and implementing forefront vaccine and diagnostic technologies benefiting human and animal health, will be awarded an honorary doctoral degree from Temple University at the College of Science and Technology's graduation ceremony on Friday, May ...

Professor Rachel Rebouché, Temple Law School

https://law.temple.edu/contact/rachel-rebouche/

Rachel Rebouché is the Kean Family Dean of Temple University Beasley School of Law and the Peter J. Liacouras Professor of Law. Prior to her appointment as Dean, she was the Associate Dean for Research, a position she held from 2017 to 2021. She is also a Faculty Fellow at Temple’s Center for Public Health Law Research. Dean Rebouché is a leading scholar in reproductive health law and ...

Zhanteng Xie, Pujie Xin, and Philip Dames - Sites

https://sites.temple.edu/trail/files/2021/11/XieXinDamesIROS2021.pdf

Zhanteng Xie, Pujie Xin, and Philip Dames Abstract—This paper proposes a novel neural network-based control policy to enable a mobile robot to navigate safety through environments filled with both static obstacles, such as tables and chairs, and dense crowds of pedestrians. The network architecture uses early fusion to combine a short history of lidar data with kinematic data about nearby ...

Distributed Deep Multi-Agent Reinforcement Learning for Cooperative ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/Distributed_Deep_Multi-Agent_Reinforcement_Learning_for_Cooperative_Edge_Caching_in_Internet-of-Vehicles.pdf

Abstract—Edge caching is a promising approach to reduce duplicate content transmission in Internet-of-Vehicles (IoVs). Sev-eral Reinforcement Learning (RL) based edge caching methods have been proposed to improve the resource utilization and reduce the backhaul trafic load. However, they only obtain the local sub-optimal solution, as they neglect the influence from environments by other ...