Swaroop Ghosh

AI-related Expertise Topics

  • Artificial intelligence for drug discovery and autonomous systems
  • Quantum machine learning
  • Machine learning accelerators
  • Non-volatile memories for learning

Externally Funded AI Projects

  • NSF Convergence Accelerator – Track C: SQAI: Scalable Quantum Artificial Intelligence for Discovery; PI: Swaroop Ghosh; Co-PI: Nitin Samarth; Sean Hallgren; Mahmut Taylan Kandemir Date:09/15/2020; Award Amount: $960,000.00



Related Publications

  • J. Li, Alam, Mahabubul, Congzhau Sha, Jian Wang, Nikolay Dokholyan and S. Ghosh, “Drug Discovery Approaches using Quantum Machine Learning”, IEEE Design Automation Conference (DAC), 2021
  • Junde Li and Swaroop Ghosh, 2020, "Quantum-soft QUBO Suppression for Accurate Object Detection", pp. 12
  • Mahabubul Alam, Abdullah Ash Saki and Swaroop Ghosh, 2020, "Accelerating Quantum Approximate Optimization Algorithm using Machine Learning", pp. 6
  • Abdullah Ash Saki, Mahabubul Alam and Swaroop Ghosh, 2020, "Improving Reliability of Quantum True Random Number Generator using Machine Learning", pp. 6
  • Junde Li, Abdullah Ash Saki, Mahabubul Alam and Swaroop Ghosh, 2020, "Hierarchical Improvement of Quantum Approximate Optimization Algorithm for Object Detection", pp. 6
  • Dongyeb Shin, Jongsun Park and Swaroop Ghosh, 2019, "Sensitivity based Error Resilient Techniques for Energy Efficient Deep Neural Network Accelerators", pp. 6
  • Sina Sayyah and Swaroop Ghosh, 2019, "In-Memory Floating Point Computations for Autonomous Systems", pp. 8

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Swaroop Ghosh
Joseph R. and Janice M. Monkowski Career Development Associate Professor of Electrical Engineering and Computer Science



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