Affiliates
Alan Wagner
- Assistant Professor of Law, Policy, and Engineering and Anthropology
- CSRAI Affiliate
Department/Unit: College of Engineering
Email: alan.r.wagner@psu.edu
Research Interests: My interest is in developing robots that are capable of interacting with a broad range of humans within a variety of different social situations. I try to ideas from cognitive science to develop methods for robot reasoning. Application areas in emergency evacuation, construction robotics, and game playing.
Jennifer Wagner
- Assistant Professor of Law, Policy, and Engineering and Anthropology
- CSRAI Affiliate
Department/Unit: School of Engineering Design and Innovation
Email: jkw131@psu.edu
Research Interests: ELSI (ethical, legal, and social implications) of human genetic/omic and digital health technologies
James Wang
- Distinguished Professor
- CSRAI Affiliate
Department/Unit: College of Information Sciences and Technology
Email: jwang@ist.psu.edu
Research Interests: Affective ComputingBiomedical Imaging InformaticsComputer-based Analysis of Visual ArtMachine LearningComputer Vision
Qian Wang
- Professor
- CSRAI Affiliate
Department/Unit: College of Engineering
Email: quw6@psu.edu
Research Interests: machine learning, advanced manufacturing, type 1 diabetes, modeling of dynamic systems, control systems
Suhang Wang
- Associate Professor
- CSRAI Affiliate
Department/Unit: College of Information Sciences and Technology
Email: szw494@psu.edu
Research Interests: I mainly work on interpretable, robust and fair machine learning and deep learning models with application to social media mining.
Krista Wilkinson
- Distinguished Professor in Communication Sciences and Disorders
- CSRAI Affiliate
Department/Unit: College of Health and Human Development
Email: kmw22@psu.edu
Research Interests: Dr. Wilkinson's scholarship seeks to improve the design of technologies used by individuals with developmental disabilities to support their communication, speech, and language.
Shomir Wilson
- Associate Professor
- CSRAI Steering Committee
Department/Unit: College of Information Sciences and Technology
Email: suw724@psu.edu
Research Interests: Shomir Wilson's research interests span natural language processing, artificial intelligence, digital privacy, and computational social science. He is particularly interested in breaking down technology's "walls of text", situations where a human user or decisionmaker is expected to consume a large quantity of text to take action while lacking time or expertise to properly understand it. Prior to joining Penn State he held postdoctoral positions in Carnegie Mellon University's School of Computer Science and the University of Edinburgh's School of Informatics. He received his Ph.D. and M.S. in Computer Science from the University of Maryland, and his B.S. in Computer Science, B.S. in Mathematics, and B.A. in Philosophy from Virginia Tech.
Alex Winters
- Applications Developer
- CSRAI Affiliate
Department/Unit: Edna Bennett Pierce Prevention Research Center
Email: ajw5296@psu.edu
Research Interests: child welfare, policy cost-benefit analysis, and entrepreneurial communities
Dinghao Wu
- Professor
- CSRAI Affiliate
Department/Unit: College of Information Sciences and Technology
Email: duw12@psu.edu
Research Interests: Cybersecurity, machine learning, software engineering.
Qingyun Wu
- Assistant Professor
- CSRAI Affiliate
Department/Unit: College of Information Sciences and Technology
Email: qxw5138@psu.edu
Research Interests: Large Language Model Agent Systems, Multi-Agent AI Systems, Reinforcement Learning
Aiping Xiong
- Associate Professor
- CSRAI Affiliate
Department/Unit: College of Information Sciences and Technology
Email: axx29@psu.edu
Research Interests: human factors of security and privacy; decision making; human perception and action
Huijuan Xu
- Assistant Professor
- CSRAI Affiliate
Department/Unit: College of Engineering
Email: hkx5063@psu.edu
Research Interests: Deep learning, computer vision and natural language processing
Amulya Yadav
- Associate Professor
- CSRAI Associate Director (Programs)
Department/Unit: College of Information Sciences and Technology
Email: auy212@psu.edu
Research Interests: Amulya Yadav is an Assistant Professor in the College of Information Sciences and Technology at Penn State University. He also has an affiliate faculty appointment with the USC Center for Artificial Intelligence in Society. His research interests include Artificial Intelligence, Multi-Agent Systems, Computational Game-Theory and Applied Machine Learning. His work in the field of Artificial Intelligence for Social Good focuses on developing theoretically grounded approaches to real-world problems that can have an impact in the field. His algorithms have been deployed in the real-world, particularly in the field of public health and wildlife protection. Amulya is a recipient of the AAMAS 2016 Best Student Paper Award, the AAAI 2017 Best Video and Best Student Video Award, the IDEAS 2016 Most Visionary Paper Award, and the AAMAS 2017 Best Paper Award nomination. His work has also been highlighted by Mashable.com as one of 26 incredible innovations that improved the world in 2015.Amulya holds a Ph.D. in Computer Science from the University of Southern California, and a B. Tech. in Computer Science & Engineering from Indian Institute of Technology (IIT), Patna.
Luna Yang
- Assistant Professor of Business
- CSRAI Affiliate
Department/Unit: Penn State Brandywine
Email: sfy5287@psu.edu
Research Interests: I am working with a team to develop large language models (LLMs) and multi-agent architectures to support policymakers and local stakeholders with state-of-the-art tornado prediction algorithms and crisis management planning. Additionally, I am exploring the broader applications of LLMs and multi-agent systems in talent management and regional development contexts.
John Yen
- Professor
- CSRAI Affiliate
Department/Unit: College of Information Sciences and Technology
Email: juy1@psu.edu
Research Interests: I am interested in using AI to enhance cyber security in a socially responsible way. I am also interested in understanding issues related to human trust on AI and in helping people to better calibrate and use AI (e.g., through explainable AI, reproducible AI, etc).