Recent Projects

  • Research and Development of new exascale network models using the CODES simulation framework
  • Developing Traveling Salesman Solver model for parallel discrete event simulation framework ROSS
  • Developing parallel discrete event simulation models to simulate Neuromorphic Computing architectures and systems
  • Member of the SuperNeuro research project

Research Areas


Since starting my graduate work at Rensselaer I have worked on problems in graph and networked systems theory as well as parallel neuromorphic computing. I have worked on Leader Selection Optimization , Threshold Monitoring, Compressed Sensing, and Distributed Optimization research projects. I recently completed my MS which focused the design and implementation of a framework for distributed machine learning in the Internet of Things.


While studying at the University of Oklahoma, I worked on research problems in solid-state physics. More specifically, my research revolved around developing methods for making differential conductance measurements and general research into the relatively new topic of topological insulators. The purpose of this work was to develop and evaluate a reliable way to measure the differential conductance of a material in a laboratory setting, and to use that methodology to determine if a particular test material is a topological insulator. I participated in two NSF Research Experience for Undergraduates programs at the University of Oklahoma under the advisement of Dr. Sheena Murphy.

Courses Taken

Graduate Level

  • Parallel Computing
  • Advances in Parallel Discrete Event Simulation (Independent Study)
  • Randomized Algorithms
  • Cloud Computing Research
  • Distributed Systems Theory
  • Programming Languages
  • Foundations of Data Science
  • Analysis of Algorithms
  • Machine Learning
  • Theory of Networked Systems
  • Computer Operating Systems