Tamoghna Roy
ML@DeepSig | Applied Research | Deep Learning
Education
Virginia Polytechnic Institute and State University
Ph.D., Electrical Engineering / December, 2017
Virginia Polytechnic Institute and State University
M.S., Electrical Engineering / December, 2014
Jadavpur University
B.E., Electrical Engineering / June, 2009
Experience
DeepSig Inc.
Principal Engineer, Machine Learning / February, 2018 — Present
Building Machine Learning Solutions for Wireless Communication problems
Publications
Over-the-Air Deep Learning Based Radio Signal Classification
IEEE Journal of Selected Topics in Signal Processing / Feb 01, 2018
O’Shea, T. J., Roy, T., & Clancy, T. C. (2018). Over-the-Air Deep Learning Based Radio Signal Classification. IEEE Journal of Selected Topics in Signal Processing, 12(1), 168–179. https://doi.org/10.1109/jstsp.2018.2797022
Physical Layer Communications System Design Over-the-Air Using Adversarial Networks
2018 26th European Signal Processing Conference (EUSIPCO) / Sep 01, 2018
Oshea, T. J., Roy, T., West, N., & Hilburn, B. C. (2018). Physical Layer Communications System Design Over-the-Air Using Adversarial Networks. 2018 26th European Signal Processing Conference (EUSIPCO). https://doi.org/10.23919/eusipco.2018.8553233
Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks
2019 International Conference on Computing, Networking and Communications (ICNC) / Feb 01, 2019
O’Shea, T. J., Roy, T., & West, N. (2019). Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks. 2019 International Conference on Computing, Networking and Communications (ICNC). https://doi.org/10.1109/iccnc.2019.8685573
Learning robust general radio signal detection using computer vision methods
2017 51st Asilomar Conference on Signals, Systems, and Computers / Oct 01, 2017
O’Shea, T., Roy, T., & Clancy, T. C. (2017). Learning robust general radio signal detection using computer vision methods. 2017 51st Asilomar Conference on Signals, Systems, and Computers. https://doi.org/10.1109/acssc.2017.8335463
Spectral detection and localization of radio events with learned convolutional neural features
2017 25th European Signal Processing Conference (EUSIPCO) / Aug 01, 2017
O’Shea, T. J., Roy, T., & Erpek, T. (2017). Spectral detection and localization of radio events with learned convolutional neural features. 2017 25th European Signal Processing Conference (EUSIPCO). https://doi.org/10.23919/eusipco.2017.8081223
Demonstrating Deep Learning Based Communications Systems Over the Air In Practice
2018 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) / Oct 01, 2018
O’Shea, T. J., Roy, T., West, N., & Hilburn, B. C. (2018). Demonstrating Deep Learning Based Communications Systems Over the Air In Practice. 2018 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN). https://doi.org/10.1109/dyspan.2018.8610491
Generative Adversarial Radio Spectrum Networks
Proceedings of the ACM Workshop on Wireless Security and Machine Learning / May 15, 2019
Roy, T., O’Shea, T., & West, N. (2019). Generative Adversarial Radio Spectrum Networks. Proceedings of the ACM Workshop on Wireless Security and Machine Learning. https://doi.org/10.1145/3324921.3328782
A word-space visualization approach to study college of engineering mission statements
2017 IEEE Frontiers in Education Conference (FIE) / Oct 01, 2017
Bhaduri, S., & Roy, T. (2017). A word-space visualization approach to study college of engineering mission statements. 2017 IEEE Frontiers in Education Conference (FIE). https://doi.org/10.1109/fie.2017.8190704
A Wideband Signal Recognition Dataset
2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) / Sep 27, 2021
West, N., O’Shea, T., & Roy, T. (2021). A Wideband Signal Recognition Dataset. 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). https://doi.org/10.1109/spawc51858.2021.9593265
Demonstrating Use of Natural Language Processing to Compare College of Engineering Mission Statements
2017 ASEE Annual Conference & Exposition Proceedings
Bhaduri, S., & Roy, T. (n.d.). Demonstrating Use of Natural Language Processing to Compare College of Engineering Mission Statements. 2017 ASEE Annual Conference & Exposition Proceedings. https://doi.org/10.18260/1-2--28102
Power Measurement Based Code Classification for Programmable Logic Circuits
2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) / Dec 01, 2018
Roy, T., & Beex, A. A. L. (2018). Power Measurement Based Code Classification for Programmable Logic Circuits. 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT). https://doi.org/10.1109/isspit.2018.8642680
BER modeling for interference canceling FIR Wiener equalizer
2013 International Conference on Computing, Networking and Communications (ICNC) / Jan 01, 2013
Roy, T., & Beex, A. A. (2013). BER modeling for interference canceling FIR Wiener equalizer. 2013 International Conference on Computing, Networking and Communications (ICNC). https://doi.org/10.1109/iccnc.2013.6504095
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
Bhaduri, S., Soledad, M., Roy, T., Murzi, H., & Knott, T. (n.d.). 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. https://doi.org/10.18260/1-2--36609
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)
El-Sallabi, H. M. (n.d.). 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). https://doi.org/10.1109/pimrc.2000.881458
MSE Analysis of Bi-scale LMS Used for Narrowband Interference Cancellation
2020 IEEE Latin-American Conference on Communications (LATINCOM) / Nov 18, 2020
Roy, T., Ikuma, T., & Louis Beex, A. A. (2020). MSE Analysis of Bi-scale LMS Used for Narrowband Interference Cancellation. 2020 IEEE Latin-American Conference on Communications (LATINCOM). https://doi.org/10.1109/latincom50620.2020.9282346
Links & Social Media
Research Interests
Join Tamoghna on NotedSource!
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
Proudly trusted by
