Peter Chin

Professor Peter Chin is a Professor of Engineering at Dartmouth College and Director of the Learning, Intelligence + Signal Processing (LISP) Lab. He holds affiliations with the Thayer School of Engineering and serves as Associate Editor of IEEE Transactions on Computational Social Systems. His research bridges signal processing, machine learning, game theory, and differential geometry, with applications in cybersecurity, healthcare, and network analysis.

Education:

• Bachelor of Science in Electrical Engineering, Computer Science, and Mathematics from Duke University (1993)
• Doctor of Philosophy in Mathematics from MIT (1998)

Research Interests: Chin’s work focuses on fundamental questions at the intersection of machine learning, game theory, and signal processing. His lab explores topics like adversarial defense mechanisms, topological machine learning, and computational neuroscience. Recent projects include cybersecurity resilience modeling, medical imaging enhancements via GANs, and multi-agent reinforcement learning frameworks.

Publications Trends: His most recent articles address cutting-edge challenges in cybersecurity (e.g., autonomous defense systems), medical AI (e.g., Alzheimer’s classification), and adversarial robustness. A notable 2025 focus is on quantitative resilience modeling for cyber defense, reflecting growing demand for AI-driven security solutions.

Awards:

• Faculty Scholar Award, Duke University
• George Sherred III Award, Duke University
• Julia Dale Memorial Award, Duke University

Grants & Leadership:

• Recipient of DARPA cybersecurity research grants
• Co-chair for SPIE/DSS Cyber Sensing Conference (2013–2020)
• Developed novel compressive sensing microscope for biological imaging

LISP Lab: This interdisciplinary lab pioneers projects like nFlip (multiplayer security game models) and topological machine learning frameworks, emphasizing practical applications of theoretical advancements.