Dr. Reetinder Sidhu

Professor

The underlying theme of my work has been to achieve efficient computation by striving for innovations based on a sound theoretical foundation. Specific areas of interest include reconfigurable computing, logic design, automata theory, functional programming and parallel processing.

Computer Science

Undergraduate

850


Qualification
Qualification Institution Year
MS Indian Institute of Science 1995
PhD University of Southern California 2006
Responsibilities
  • Dept. Academic Committee

Expertise / list of subjects handled
  • Digital Design and Computer Organization
  • Theory of Computation
  • Design and Analysis of Algorithms
Research Interest
  • Current research interests focus on hardware acceleration of big data, AI and ML computations.

Research projects (current)
  • Hardware Accelerated Matrix Multiplication.

Others
  • https://scholar.google.com/citations?user=CzPQAekAAAAJ