Tamoghna Roy

ML@DeepSig | Applied Research | Deep Learning

Research Expertise

Machine Learning
Statistical Signal Processing
Deep Learning
Electrical and Electronic Engineering
Signal Processing

Legacy Map

Full View

Publications

Over-the-Air Deep Learning Based Radio Signal Classification
IEEE Journal of Selected Topics in Signal Processing
2018
Physical Layer Communications System Design Over-the-Air Using Adversarial Networks
2018 26th European Signal Processing Conference (EUSIPCO)
2018
Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks
2019 International Conference on Computing, Networking and Communications (ICNC)
2019
Learning robust general radio signal detection using computer vision methods
2017 51st Asilomar Conference on Signals, Systems, and Computers
2017
Spectral detection and localization of radio events with learned convolutional neural features
2017 25th European Signal Processing Conference (EUSIPCO)
2017
Demonstrating Deep Learning Based Communications Systems Over the Air In Practice
2018 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)
2018
Generative Adversarial Radio Spectrum Networks
Proceedings of the ACM Workshop on Wireless Security and Machine Learning
2019
A word-space visualization approach to study college of engineering mission statements
2017 IEEE Frontiers in Education Conference (FIE)
2017
A Wideband Signal Recognition Dataset
2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
2021
Demonstrating Use of Natural Language Processing to Compare College of Engineering Mission Statements
2017 ASEE Annual Conference & Exposition Proceedings
Power Measurement Based Code Classification for Programmable Logic Circuits
2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)
2018
BER modeling for interference canceling FIR Wiener equalizer
2013 International Conference on Computing, Networking and Communications (ICNC)
2013
A Semester Like No Other: Use of Natural Language Processing for Novice-Led Analysis on End-of-Semester Responses on Students’ Experience of Changing Learning Environments Due to COVID-19
2021 ASEE Virtual Annual Conference Content Access Proceedings
Polarization consideration in characterizing radio wave propagation in urban microcellular channels
11th IEEE International Symposium on Personal Indoor and Mobile Radio Communications. PIMRC 2000. Proceedings (Cat. No.00TH8525)
MSE Analysis of Bi-scale LMS Used for Narrowband Interference Cancellation
2020 IEEE Latin-American Conference on Communications (LATINCOM)
2020

Education

Virginia Polytechnic Institute and State University

Ph.D., Electrical Engineering / December, 2017

Blacksburg, Virginia, United States of America

Virginia Polytechnic Institute and State University

M.S., Electrical Engineering / December, 2014

Blacksburg, Virginia, United States of America

Jadavpur University

B.E., Electrical Engineering / June, 2009

Kolkata

Experience

DeepSig Inc.

Principal Engineer, Machine Learning / February, 2018Present

Building Machine Learning Solutions for Wireless Communication problems

Links & Social Media

Join Tamoghna on NotedSource!
Join Now

At NotedSource, we believe that professors, post-docs, scientists and other researchers have deep, untapped knowledge and expertise that can be leveraged to drive innovation within companies. NotedSource is committed to bridging the gap between academia and industry by providing a platform for collaboration with industry and networking with other researchers.

For industry, NotedSource identifies the right academic experts in 24 hours to help organizations build and grow. With a platform of thousands of knowledgeable PhDs, scientists, and industry experts, NotedSource makes connecting and collaborating easy.

For academic researchers such as professors, post-docs, and Ph.D.s, NotedSource provides tools to discover and connect to your colleagues with messaging and news feeds, in addition to the opportunity to be paid for your collaboration with vetted partners.

Expert Institutions
NotedSource has experts from Stanford University
Expert institutions using NotedSource include Oxfort University
Experts from McGill have used NotedSource to share their expertise
University of Chicago experts have used NotedSource
MIT researchers have used NotedSource
Proudly trusted by
Microsoft uses NotedSource for academic partnerships
Johnson & Johnson academic research projects on NotedSource
ProQuest (Clarivate) uses NotedSource as their industry academia platform
Slamom consulting engages academics for research collaboration on NotedSource
Omnicom and OMG find academics on notedsource
Unilever research project have used NotedSource to engage academic experts

Connect with researchers and scientists like Tamoghna Roy on NotedSource to help your company with innovation, research, R&D, L&D, and more.