Directory
Michele Mekel
- Associate Teaching Professor of Bioethics and Humanities
- CSRAI Affiliate
Department/Unit: College of the Liberal Arts
Email: mmekel@psu.edu
Research Interests: Biomedical Bioethics, Health Humanities, Bioethics and Emerging Technologies, Etc.
Nathalia Moraes do Nascimento
- Assistant Professor, Software Engineering
- CSRAI Affiliate
Department/Unit: Penn State Great Valley
Email: nqm5742@psu.edu
Research Interests: My research focuses on empirical AI Engineering, integrating Artificial Intelligence into the software development lifecycle. I investigate LLM-based agents, generative AI for code, requirements, and testing, with an emphasis on task allocation and levels of automation, while considering quality criteria beyond performance to support responsible AI adoption.
Sanaz Motamedi
- Assistant Research Professor
- CSRAI Affiliate
Department/Unit: College of Engineering
Email: sjm7946@psu.edu
Research Interests: Dr. Motamedi’s research lies at the intersection of artificial intelligence, human-systems engineering, and human–automation interaction. She focuses on developing AI-driven tools that support decision-making, enhance training, and improve performance in safety-critical domains such as healthcare, transportation, and education. Her work integrates machine learning, human-centered design, and behavioral modeling to better understand and support how people interact with complex systems. She is particularly interested in real-time feedback systems, gaze-based attention modeling, and the ethical deployment of AI in environments where human well-being and trust are paramount.
Rebecca Napolitano
- Assistant Professor
- CSRAI Affiliate
Department/Unit: College of Engineering
Email: nap@psu.edu
Research Interests: Resilience of the built environment; adaptive reuse for sustainable, affordable housing; cultural heritage buildings; UAV monitoring of buildings; sustainable materials development
David Norloff
- Associate Teaching Professor
- CSRAI Affiliate
Department/Unit: Bellisario College of Communications
Email: dcn101@psu.edu
Research Interests: The intersection of Autonomous Vehicles, Artificial Intelligence, Wireless Networks, and Wearable Devices.
Mary Beth Oliver
- Donald P. Bellisario Professor of Media Studies
- CSRAI Affiliate
Department/Unit: Bellisario College of Communications
Email: mbo1@psu.edu
Research Interests: I am interested in the ways that media can enhance well-being and social good.
Ibukun Osunbunmi
- Assistant Research Professor
- CSRAI Affiliate
Department/Unit: College of Engineering
Email: iso5023@psu.edu
Research Interests: Artificial intelligence and machine learning in engineering education, AI-enhanced pedagogy and assessment, virtual reality-enhanced learning, broadening participation in engineering education, student engagement and retention
Holly Overton
- Associate Professor
- CSRAI Affiliate
Department/Unit: Bellisario College of Communications
Email: hko104@psu.edu
Research Interests: Dr. Overton conducts public relations research in the areas of corporate social responsibility communication and corporate social advocacy. Her research also focuses on examining psychological factors that impact information processing and engagement among publics, nonprofit public relations, and the persuasive impact of messages and technological factors in public relations contexts.
Bing Pan
- Professor of Commercial Recreation and Tourism
- CSRAI Affiliate
Department/Unit: College of Health and Human Development
Email: bup63@psu.edu
Research Interests: My research interests include big data and data analytics in tourism and parks, including using machine learning and artificial intelligence to monitor, predict, and nudge visitor behavior.
Herschel Pangborn
- Assistant Professor
- CSRAI Affiliate
Department/Unit: College of Engineering
Email: hxp5027@psu.edu
Research Interests: My research lab focuses on the dynamic modeling, design, and control of energy systems, including aircraft, cars, and buildings. A particular focus is predictive hierarchical control frameworks that coordinate decision-making across multiple systems, timescales, and energy domains. Our goal is to develop and apply mathematical techniques for assuring safe and efficient autonomy in complex energy systems.