Upskilling - Funded Projects 2026-2027

The ICDS Faculty Upskilling Fellowship empowers Penn State faculty to gain cutting-edge expertise in Artificial Intelligence and Quantum Sciences, transforming research programs and fostering interdisciplinary innovation.

ICDS is pleased to announce 20 awardees in the inaugural upskilling program, totaling over $300,000.

Awardees were selected from 8 colleges, 17 departments, and 3 campuses.

 

Quantum 

  • Honavar, Vasant Gajanan: Faculty Upskilling in Quantum Sciences (Quantum Computing)
  • Sparrow, Victor: Linear and Nonlinear Wave Propagation Using Quantum Computing

  

AI 

  • Basak, Amrita: Integrating Synthetic Biology and Deep Learning for Designing Programmable Life-Like Materials
  • Calacci, Dana: From Evaluation to Alignment: Toward Community-Aligned AI
  • Cameron, Christopher Daryl: Building Practical Tools for Empathic Human-AI Interactions
  • Golder, Sona: Developing New Competencies in AI and Experimental Research Design
  • Hu, Xianbiao: Agentic AI for Autonomous Vehicles: Enhancing Goal-Directed and Cooperative Decision-Making at Penn State
  • Hu, Yuqing: AI-Augmented Digital Twins for Human-Centered Urban Resilience and Planning
  • Karunanayaka, Prasanna: ICDS Faculty Upskilling Fellowship – AI and Quantum Sciences
  • Khodakarami, Nima: APPLYING ARTIFICIAL INTELLIGENCE IN HEALTHCARE RESEARCH
  • Kumar, Ashish: Application of Deep-Learning to Study the Evolution of Transient-State Combustion in Underground Mines
  • Li, Bin: Integrating Generative AI into Extended Reality
  • LIU, SHIMIN: Exploring New Frontiers in the Application of AI for Mining Engineering at Penn State through Fiber Optic Sensing and Smart Mine Ventilation
  • Sharma, Priya: Moving from novice to navigator: Building AI fluency for educational research
  • Zou, Ellen Wenting: Building Multi-Agent Education System to Combat Bullying Among Teens
  • Zuo, Wangda: Enhancing Research in Sustainable and Resilient Cities through AI

 

Dual Focus

  • Jin, Dezhe: Quantum many-body physics through AI
  • Jin, Mia: AI-Enhanced Quantum Computing for Complex Materials Challenges
  • Li, Jia: Application to Faculty Upskilling Fellowships in AI and Quantum Sciences
  • Liu, Chaoxing: Designing Topological Phases in Quantum Materials with AI