Tom Hayes

PhD

Tom Hayes.

Tom Hayes

PhD

Tom Hayes

PhD

Research Topics

Theoretical computer science and machine learning, including convergence rates for Markov chains, sampling algorithms for random combinatorial structures, physics of algorithms, and distributed algorithms for radio-enabled sensor networks

Biography Teaching Research

Research Areas

  • Algorithms and Complexity
    1/17/23
    Computer science theory assesses which problems are possible and feasible to solve through theories of computability, undecidability, complexity, reducibility, and approximability.
  • Computer Security and Cryptography
    1/17/23
    Focuses on applied cryptography, authentication, software and system security, threat modeling, anomaly detection, wireless security, cloud security, human-centered security, differential privacy and empirical cyber security.
  • Databases and Data Science
    1/17/23
    Algorithms for data mining have a close relationship to methods of pattern recognition and machine learning. Focuses on developing fundamental techniques, prototype systems and applications in databases and data science.