UNIVERSITY PARK, Pa. — Penn State’s AI Week showcased the latest research on artificial intelligence (AI) systems and tools, with a specific focus on their applications across K-12 and higher education.
The annual event, most recently held April 14 through April 17, highlighted Penn State faculty and student research and excellence through panels, research showcases, immersive workshops and a poster session.
“AI Week brought faculty, staff and students together to further build on and enhance the AI community at Penn State,” said Mehrdad Mahdavi, Penn State AI Hub director and associate professor. “AI Week spotlighted ways in which AI tools and systems can be used for research, for career readiness, for accelerating science, for creative assistants, and how it can be used in the classroom. We hope the events fostered conversations and new collaborations amongst researchers across Penn State.”
The student poster session featured over 60 research projects focused on AI and machine learning across diverse disciplines. The projects ranged from using AI to predict and prevent all-terrain vehicle rollovers and deaths to mushroom picking strategy algorithms to empathetic conversation models in mental health to how students feel about responsible versus irresponsible AI use.
Undergraduates, graduate students and Penn State faculty submitted their research to a judging panel, which awarded prizes to six poster presenters:
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First place of $300 was awarded to Samarth Khanna, second-year doctoral student in the College of Information Sciences and Technology, “Distributive Fairness in Large Language Models: Evaluating Alignment with Human Values”
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Second place of $250 was awarded to Kanguri Han, second-year doctoral student in the Department of Agricultural and Biological Engineering in the Penn State College of Agricultural Sciences, “Vision Apple Quality Assessment System for Selective Robotic Harvesting in Complex Orchard Environment”
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Third place of $150 was awarded to Suhas Bettapalli Nagaraj, fourth-year doctoral student in the College of Information Sciences and Technology, “Generative AI for Efficient and Empathetic Conversational Models in Mental Health”
Three honorable mentions of $100 each were awarded to Matthew Poska, informatics doctoral student in the College of Information Sciences and Technology; Sohrab Sheikh Sofla, electrical engineering doctoral student; and Waquar Kaleem, industrial and manufacturing engineering doctoral student.
“Presenting my work, which focused on fair decision-making in economic contexts, at the poster session brought me to meet others working on different aspects of fairness in AI and opened up my possibilities for potential collaborations,” Khanna said.
Bettapalli Nagaraj, a fourth-year doctoral student, collaborates with clinicians at Emory University and Georgia Institute of Technology to develop empathetic AI tools for mental health. His research created realistic, trauma-specific therapy simulations and trained small, efficient AI models to support therapist training and patient care. He also developed an audio-based system that can evaluate therapy sessions without needing transcripts.
“It’s important that we make people more aware of AI’s capabilities and that it can be used for social good,” he said.