Kannan Ramchandran

Research Bio

Fields of professional interest are statistical and sparse signal processing, adversarial and distributed machine learning, coded computing, privacy and security, coding theory, information theory, coding for massively scalable distributed computing and learning, peer-to-peer networking and distributed scalable video-on-demand delivery, and blockchains.

Research Expertise and Interest

statistical and sparse signal processing, adversarial and distributed machine learning, coded computing, privacy and security, scalable distributed video-on-demand delivery, coding theory, communications, information theory, peer-to-peer networking, blockchains

Teaching

Courses taught during the three most recent terms
2026 Spring
  • Supervised Independent Study  [COMPSCI 199]  

  • Probability and Random Processes  [EECS 126]  

  • Field Study  [ELENG 197]  

  • Supervised Independent Study  [ELENG 199]  

  • Individual Research  [ELENG 299]  

  • Master of Engineering Capstone Project  [ENGIN 296MB]  

2025 Fall
  • Supervised Independent Study  [COMPSCI 199]  

  • Professional Preparation: Supervised Teaching of Computer Science  [COMPSCI 399]  

  • Professional Preparation: Supervised Teaching of Computer Science  [COMPSCI 399]  

  • Professional Preparation: Supervised Teaching of Computer Science  [COMPSCI 399]  

  • Field Study  [ELENG 197]  

  • Supervised Independent Study  [ELENG 199]  

  • Information Theory and Coding  [ELENG 229A]  

  • Individual Research  [ELENG 299]  

  • Master of Engineering Capstone Project  [ENGIN 296MA]  

2025 Summer
  • Field Studies in Electrical Engineering  [ELENG 297]  

  • Field Studies in Electrical Engineering  [ELENG 297]  

  • Individual Research  [ELENG 299]  

2025 Spring
  • Supervised Independent Study  [COMPSCI 199]  

  • Probability and Random Processes  [EECS 126]  

  • Field Study  [ELENG 197]  

  • Supervised Independent Study  [ELENG 199]  

  • Individual Research  [ELENG 299]  

  • Individual Research  [ELENG 299]