Viren Bajaj

Viren Bajaj

Associate Research Engineer

Tel: (412) 737-4028


Viren Bajaj


  • B.Sc., Carnegie Mellon University, 2018

Work Experience

  • Associate Research Engineer, NIA, 2018 – present
  • Software Engineering Intern, NIA, 2017
  • Research Assistant, Department of Physics, Carnegie Mellon University, 2016

Research Areas/Expertise

  • Machine Learning (Deep Learning)
  • Digital Signal Processing

Current Research

Blind Identification of Radio Interference

Radio interference in a given airspace threatens link reliability of radio communication systems onboard autonomous aerial vehicles passing through that airspace. Since these vehicles depend on the radio links for safety critical telemetry and navigation data, link-corrupting radio interference poses a safety hazard.  We are trying to develop a machine learning technique to identify link-corrupting radio interference in a blind manner, i.e., without a priori knowledge of the signals in an airspace, so that autonomous aerial vehicles can take safe actions when they encounter an airspace rich in radio interference.