https://scholarshare.temple.edu/bitstreams/3faf52f7-123b-4304-889b-42a7eee1f8a1/download
Overdetermined boundary value problems for the Laplacian on uniformly rectifiable domains; Overdetermined boundary value problems for second-order, homogeneous, constant complex coeficient elliptic systems on uniformly rectifiable domains; Overdetermined boundary value problems for the Stokes system of linearized hydro- statics on uniformly rectifiable domains; Fredholm Theory for the ...
https://engineering.temple.edu/directory/mehdi-khanzadeh-moradllo-tum93211
Biography Dr. Mehdi Khanzadeh Moradllo is an Assistant Professor in the Department of Civil and Environmental Engineering at Temple University. Before joining Temple, he was a Postdoctoral researcher at Oregon State University where he studied the durability and resiliency of infrastructure materials using advanced analytical and imaging techniques. Dr. Khanzadeh earned his PhD in ...
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 ...
https://community.mis.temple.edu/zuyinzheng/files/2016/07/Resume-Alvin-Z.Y.-Zheng-2016-Apr.pdf
Zheng, Z., Hong, Y. & Pavlou, P. (2015), “On Service Employers’ Hiring Decisions in Online Labor Markets: A Perspective of Price and Quality Discovery”, in proceedings of the 21st Americas Conference on Information Systems, Puerto Rico.
https://www.temple.edu/academics/degree-programs/social-behavioral-sciences-mph-hp-sbsc-mph
The Social and Behavioral Sciences MPH trains students to assess the behavioral, cultural and social factors that influence pressing public health problems.
https://scholarshare.temple.edu/bitstreams/1c1f1a6d-0f34-4234-8b39-41d9eeb397f0/download
of machine learning (ML) versus a traditional statistical model in predicting dental caries in
https://news.temple.edu/news/2025-08-05/what-does-house-v-ncaa-mean-temple-athletics
Temple Athletics Director Arthur Johnson explains what House v. NCAA means for Temple and its impact on student-athletes.
https://community.mis.temple.edu/mis3535sec001fall2020/files/2020/09/Simulation-Intro-slides-week-4.pdf
Gaining insight into why individuals and groups might resist change and how to overcome that resistance, including social network information to develop change implementation strategy;
https://cis.temple.edu/~wu/research/publications/Publication_files/ICDE2024_Xu.pdf
To circumvent the above challenges, we introduce the Mean-Field Game (MFG) theory [29] to reduce a one-to-many game to a one-to-one game and further propose a joint MFG framework for mobile edge Caching and Pricing, namely MFG-CP, where each EDP can optimize its own utility in a distributed manner.
https://ronlevygroup.cst.temple.edu/courses/2017_spring/chem5412/lectures/Lecture4_SBII_2017.pdf
Potts Models: Origin & Motivation How to model P(S)? P(S) describes the probability of generating sequce S, where S spans the entire sequence space. Most general form of P(S) is the set of probabilities of all sequences – a model with parameters! We can’t directly measure P(S) from an MSA (since each sequence appears once).