Abhronil Sengupta

AI-related Expertise Topics

  • AI Foundations:
    • Neuromorphic Computing
    • Probabilistic Learning
    • Emerging material and device technologies for AI hardware
    • AI hardware-software co-design
  • Applied AI:
    • Application drivers suited for neuromorphic computing algorithms – event sensors, smart grids, among others

Externally Funded AI Projects

  • NSF – A Technology-Architecture-Algorithm Co-Design Exploration of Scalable Spiking Neural Networks (SNNs)
  • NSF – An Experimental Exploration for Spin-Based Neuromorphic Computing
  • NSF – Exploring the Self-Repair Role of Astrocytes in Neuromorphic Computing
  • DOE – Real-time Neuromorphic Cyber-Agent

AI-related Courses

  • EE 597: Neuromorphic Computing



Related Publications


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Abhronil Sengupta
Assistant Professor of Electrical Engineering



The Center for Artificial Intelligence Foundations and Engineered Systems (CAFE), pronounced café, brings together expertise from 75 researchers representing 24 academic units across Penn State with the goal of developing cross-disciplinary interactions. The center’s focus is on accelerating advances by synergistically advancing AI foundations and the techniques to deploy them efficiently toward applications focused on engineered and defense systems. CAFE provides opportunities for research partnerships, faculty/student recruitment, and technology transition to practice.

Center for Artificial Intelligence Foundations and Engineered Systems

The Pennsylvania State University

W323 Westgate Building

University Park, PA 16802