Raj Bhattacharjea

I am an Electrical Engineer working as the Director of Machine Learning for DeepSig Inc..
My goals include conducting, publishing, and productizing research in machine learning
for communication and sensing systems. You'll find a bit about me here, and once in a blue moon I'll
post other content about topics I'm interested in.
Research Interests
The common threads that tie together my work are:
- Electromagnetics / Computational EM
- Signal processing
- Machine learning
At various times I've been interested in applying these techniques to the following domains:
- Commercial wireless communications
- Free space optical communications
- Fiber optic communications
- Photonic signal processing
- Near-field inductive communications
- Backscatter communications
Courses Taught (Georgia Tech)
ECE3025 Electromagnetics, Spring 2019
ECE2026 Intro to Digital Signal Processing, Summer 2018 and Fall 2018
ECE4012 Senior Capstone Design, Spring 2016
Pre-Prints, Papers, and Presentations
Last updated February 2025.
Pre-Print: 3D Geometry Extraction for Sionna RT and Sensitivity Analysis
Site-Specific Propagation Measurements Improve Learned 5G Processing Algorithms
An arXiv preprint is available for those without IEEE Xplore access
Pre-Print: Encoder-Decoder Networks for Signal Bandwidth Estimation on Arrays
This one was accepted for publication at IEEE Array 2022 and my co-author, Nathan West, presented results of this work at the conference.
However, we missed the deadline for submitting the final camera-ready files for archival on IEEE Xplore (oops). So, here's the arXiv version.

















