Vidit Saxena

I am a Ph.D. candidate at the Department of Information Science and Engineering, KTH (since Spring 2016) supervised by Joakim Jaldén and partially supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP). I investigate machine learning techniques for near-radio / baseband algorithms in wireless communication systems. Most recently, I have been developing Bayesian online learning schemes for cellular systems. I also develop PY_ITPP, which is a Python API for highly optimized communications and signal processing simulation experiments. Prior to starting my Ph.D., I was involved with the research and standardization of 4G and 5G cellular technologies at Ericsson Research. I completed my Masters in Wireless Communication from LTH, Sweden (in 2014) and Bachelors in Electronics and Communication Engineering from IIT Roorkee, India (in 2009).