https://guides.temple.edu/AOD0836
Use this page to find help find sources for research assignments in AOD 836: Interpersonal Communication.
https://medicine.temple.edu/news/2023/08/novel-treatment-based-gene-editing-safely-effectively-removes-hiv-virus-genomes-non-human-primates
(Philadelphia, PA) – A single injection of a novel CRISPR gene-editing treatment safely and efficiently removes SIV – a virus related to the AIDS-causing agent HIV – from the genomes of non-human primates, scientists at the Lewis Katz School of Medicine at Temple University now report. The groundbreaking work complements previous experiments as the basis for the first-ever clinical trial ...
https://cis.temple.edu/~mindyshi/
Candidate must have or be close to obtaining a Ph.D. in quantitative fields (include but not limited to Computer Science, Statistics, Mathematics, and Physics) and have demonstrated a high level of research productivity through publication in peer-reviewed conferences and journals. Experiences with machine learning or data privacy is required. As a team player working closely with cross ...
https://www.fox.temple.edu/directory/subodha-kumar-tuh48280
Biography Subodha Kumar is the Paul R. Anderson Distinguished Chair Professor of Statistics, Operations, and Data Science and the Founding Director of the Center for Business Analytics and Disruptive Technologies at Temple University’s Fox School of Business. He has a secondary appointment in Information Systems. He also serves as the Concentration Director for Ph.D. Program in Operations ...
https://bulletin.temple.edu/courses/sbs/
This introductory, discussion-based course explores the use of psychoactive substances in the United States. It will cover motivations behind substance use; policies and laws that relate to substance use, harm reduction, prevention and treatment; a range of substance categories and their physiological, psychological and social effects; and the general concepts of substance use stigma ...
https://bursar.temple.edu/sites/bursar/files/documents/Tuition_Rates.pdf
For the 2023-24 academic year, some or all instruction may be delivered remotely. Tuition, the University Services Fee and certain other fees are required to be paid in full and will not be refunded regardless of the mode of instruction, the inability to access university-maintained facilities, or any disruption to or cancellation of activities ...
https://news.temple.edu/news/2023-05-08/josh-gladden-named-vice-president-research
Following a national search, Josh Gladden has been named Temple University’s vice president for research, Provost Gregory N. Mandel announced Tuesday. Subject to final approval by the Board of Trustees, Gladden will begin in this role on Aug. 1, 2023. Gladden joins Temple after serving as the University of Mississippi’s vice chancellor for research and sponsored programs,
https://www.fox.temple.edu/directory/vinod-venkatraman-tud55419
Biography Dr. Vinod Venkatraman is currently an Associate Professor in Marketing, and Director of the Center for Applied Research in Decision Making at the Fox School of Business, Temple University. He also holds a secondary affiliation with the Department of Psychology. Dr. Venkatraman joined Temple in July 2011 after completing his PhD in Psychology and Neuroscience at Duke University. His ...
https://cis-linux1.temple.edu/~jiewu/research/publications/Publication_files/ICPADS2024.pdf
Abstract—Federated Learning (FL) is an emerging privacy-preserving distributed machine learning paradigm that enables numerous clients to collaboratively train a global model without transmitting private datasets to the FL server. Unlike most existing research, this paper introduces a Data-Driven FL system in Unmanned Aerial Vehicle (UAV) networks, named DDFL, which features an innovative ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/INFOCOM2024_PSFL%20Parallel-Sequential%20Federated%20Learning%20with%20Convergence%20Guarantees.pdf
Abstract—Federated Learning (FL) is a novel distributed learning paradigm which can coordinate multiple clients to jointly train a machine learning model by using their local data samples. Existing FL works can be roughly divided into two categories according to the modes of model training: Parallel FL (PFL) and Sequential FL (SFL). PFL can speed up each round of model training time through ...