Summary
Yashwanth Kumar is a research-focused communications engineer with nine years of experience applying deep learning and signal-processing techniques to wireless and satellite systems. Currently a Research Associate at the Munich Center for Space Communications and a PhD candidate in Satellite Communications, he blends hands-on SDR development and over-the-air channel measurement work with novel algorithmic research such as diffusion models for 3GPP channel modelling. His background includes multiple internships and projects building NPRACH receivers, NOMA systems, and modem subsystems using PyTorch, MATLAB and Python, delivering 3GPP‑compliant performance at reduced complexity. Based in Munich, he brings both academic rigor (MSc from TUM) and industry experience (Rohde & Schwarz) to bridge theory and practical RF experimentation. An understated strength is his consistent focus on physical-layer problems where graph signal processing and ML intersect, enabling measurable improvements in synchronization, detection and channel estimation.
9 years of coding experience
Doctor of Philosophy - PhD, Satellite Communications, Doctor of Philosophy - PhD, Satellite Communications at Bundeswehr University Munich
Bachelor of Engineering - BE, Electronics and Communication, 8.81/10 (CGPA), Bachelor of Engineering - BE, Electronics and Communication, 8.81/10 (CGPA) at The National Institute of Engineering, Mysuru
Master of Science - MS, Communication Engineering, 1.6 (German Grading System), Master of Science - MS, Communication Engineering, 1.6 (German Grading System) at Technical University of Munich
English, Hindi, Kannada, Marwari