Affiliates

Photo of Saeed Abdullah

Saeed Abdullah

  • Assistant Professor
  • CSRAI Affiliate

Department/Unit: College of Information Sciences and Technology

Email: saeed@psu.edu

Research Interests: mHealth; sensing health behaviors and contexts; data-driven intervention; pervasive health technologies

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Photo of Youakim Badr

Youakim Badr

  • Professor
  • CSRAI Affiliate

Department/Unit: School of Graduate Professional Studies, Penn State Great Valley

Email: yzb61@psu.edu

Research Interests: Dr. Badr is developing a new chain of data analytical models, tools, and platforms for designing and deploying “Trustworthy AI Service Systems” by investigating a multidisciplinary and systematic approach, integrating AI, IoT, and Blockchains.

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Photo of Amit Banerjee

Amit Banerjee

  • Associate Professor
  • CSRAI Affiliate

Department/Unit: Mechanical Engineering, Penn State Harrisburg

Email: aub25@psu.edu

Research Interests: Researcher in Machine Learning applications in manufacturing, machine health monitoring, predictive diagnostics, cognition and creativity, and engineering education. Research interests also include nonlinear optimization using evolutionary algorithms, data classification and clustering, pattern recognition, data modeling and visualization.

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Photo of Gregory Banyay

Gregory Banyay

  • Assistant Research Professor
  • CSRAI Affiliate

Department/Unit: Applied Research Laboratory, Fluid Dynamics and Acoustics Office

Email: gab5631@psu.edu

Research Interests: development of enhanced methods for modeling and simulation, flow-induced vibration, and uncertainty quantification, with structural acoustics objectives

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Photo of Roger Beaty

Roger Beaty

  • Assistant Professor of Psychology
  • CSRAI Affiliate

Department/Unit: College of the Liberal Arts

Email: rub736@psu.edu

Research Interests: My research seeks to understand how people think creatively. Our lab develops educational technology to cultivate and evaluate creative thinking, using tools from machine learning and natural language processing. We aim to design educational tools that are culturally responsive and accessible to diverse populations.

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Brian Belland

  • Associate Professor, Educational Psychology
  • CSRAI Affiliate

Department/Unit: Department of Educational Psychology, Counseling, and Special Education

Email: brb288@psu.edu

Research Interests: Machine learning to inform scaffolding customization; Scaffolding argumentation during problem-based learning in middle and high school science; Synthesis of scaffolding research across STEM education and education levels; Scaffolding in preservice teacher education

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Photo of Syed Billah

Syed Billah

  • Assistant Professor
  • CSRAI Affiliate

Department/Unit: College of Information Sciences and Technology

Email: skb5969@psu.edu

Research Interests: Accessible Computing; Trustworthy AI for Accessibility Assistive Technology

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Photo of Elizabeth Boyer

Elizabeth Boyer

  • Professor of Water Resources
  • CSRAI Affiliate

Department/Unit: Department of Ecosystem Science and Management

Email: ewb100@psu.edu

Research Interests: water resources, geoinformatics, environmental sciences, science-technology-society interactions, research ethics

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Rick Brazier

  • Senior Associate Dean for Faculty and Research
  • CSRAI Steering Committee

Department/Unit: Senior Vice President for Commonwealth Campuses

Email: rab27@psu.edu

Research Interests: Rick Brazier is senior associate dean for faculty and research for the 14 campuses that comprise the University College. He oversees all aspects of faculty development from hiring through promotions and sabbaticals, including grant proposals. Dr. Brazier is a professor of mathematics and geology. He began his Penn State career in 1996 as a research associate in EMS and then as an instructor and subsequently tenure line faculty member at Penn State DuBois.

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Photo of Laura Cabrera

Laura Cabrera

  • Associate Professor
  • CSRAI Affiliate

Department/Unit: College of Engineering

Email: lcabrera@psu.edu

Research Interests: My interests focus on the ethical and societal implications of neurotechnologies used for treatment as well as for enhancement purposes. I have been working on projects at the interface of normative, conceptual and empirical approaches, exploring attitudes and ethical concerns of professionals, patients and members of the public toward brain interventions.

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Photo of Jie Cai

Jie Cai

  • Assistant Research Professor
  • CSRAI Affiliate

Department/Unit: College of Information Sciences and Technology

Email: jpc6982@psu.edu

Research Interests: Human-Centered Computing, Content Moderation, Interactive Media, Human-AI Collaborative Moderation, Online Harassment.

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Photo of Daryl Cameron

Daryl Cameron

  • Associate Professor
  • CSRAI Affiliate

Department/Unit: Psychology; Rock Ethics Institute

Email: cdc49@psu.edu

Research Interests: Dr. Cameron’s research and teaching focus on the psychological processes involved in empathy and moral decision-making. Much of his work examines motivational factors that shape empathic emotions and behaviors toward others.

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Betsy Campbell

  • Assistant Professor
  • CSRAI Affiliate

Department/Unit: College of Education

Email: bjc28@psu.edu

Research Interests: Diversity inclusion and belonging; Transparency of process; Team work; Use of AI in innovative entrepreneurial work

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Photo of John Carroll

John Carroll

  • Professor
  • CSRAI Affiliate

Department/Unit: Information Sciences and Technology

Email: jmc56@psu.edu

Research Interests: Human-Centered Technology; Design Community Innovation; Community Data Health Informatics; Wellbeing Mediated Participation; Coproduction Minimalist Information; Scenario-Based Design

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Photo of Jinghui Chen

Jinghui Chen

  • Assistant Professor
  • CSRAI Affiliate

Department/Unit: Information Sciences and Technology

Email: jzc5917@psu.edu

Research Interests: My research interests broadly include the theory and applications in different aspects of machine learning (machine learning robustness, machine learning efficiency, machine learning safety and privacy, etc.), especially adversarial machine learning.

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