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Raj Bhattacharjea Twitter Profile LinkedIn Profile ResearchGate Profile Google Scholar Profile StackExchange Profile

Picture of 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

OpenGERT: Open Source Automated Geometry Extraction with Geometric and Electromagnetic Sensitivity Analyses for Ray-Tracing Propagation Models

Site-Specific Propagation Measurements Improve Learned 5G Processing Algorithms

How Critical is Site-Specific RAN Optimization? 5G Open-RAN Uplink Air Interface Performance Test and Optimization from Macro-Cell CIR Data

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. Encoder-Decoder Networks for Self-Supervised Pretraining and Downstream Signal Bandwidth Regression on Digital Antenna Arrays

Paper: Feedback Magnitude Pruning

Neural network compression with feedback magnitude pruning for automatic modulation classification

Paper: Modulation Pattern Detection Using Complex Convolutions

Modulation Pattern Detection Using Complex Convolutions in Deep Learning

Pre-Print: High-Capacity Complex Convolutional Neural Networks Modulation Classification

Pre-Print: High-Capacity Complex Convolutional Neural Networks For I/Q Modulation Classification

Paper: Complex-Valued Convolutions for Modulation Recognition

Complex-Valued Convolutions for Modulation Recognition using Deep Learning

Presentation: Photonic ICs for Channelization and Downconversion

Presentation: Photonic ICs for Channelization and Downconversion

Paper: Photonic ICs for Channelization and Downconversion

Paper: Photonic ICs for Channelization and Downconversion

Presentation: Army Signal Classification Challenge

Presentation: Army Signal Classification Challenge

Paper: ReMoRa

Paper: ReMoRa

Paper: Perfect Pulses

Paper: Perfect Pulses

Presentation: Accelerated Signal Processing on Embedded Platforms

Presentation: Accelerated Signal Processing on Embedded Platforms

Presentation: Open Source SDR on Embedded Platforms

Presentation: Open Source SDR on Embedded Platforms

Dissertation: Refractive Near-Earth UHF Channels

Dissertation: Refractive Near-Earth UHF Channels

Paper: Near-Ground Vertical Dipoles in Atmospheric Refractivity

Paper: Near-Ground Vertical Dipoles in Atmospheric Refractivity

Presentation: Near-Ground Vertical Dipoles in Atmospheric Refractivity

Presentation: Near-Ground Vertical Dipoles in Atmospheric Refractivity

Paper: Rician Fading Estimation

Paper: Rician Fading Estimation