Publications

2026

  • Unsupervised Neural Beamforming for Uplink MU-SIMO in 3GPP-Compliant Wireless Channels

    Cemil Vahapoglu, Timothy J. O'Shea, Wan Liu, Tamoghna Roy, Sennur Ulukus

    Sensors 26(2):366, 2026

    DOI

2025

  • Transformer-driven neural beamforming with imperfect CSI in urban macro wireless channels

    Cemil Vahapoglu, Timothy J. O'Shea, Wan Liu, Tamoghna Roy, Sennur Ulukus

    IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications, 2025 · 4 citations

    DOIarXiv

2024

  • Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications

    Charith Chandra Sai Balne, Sreyoshi Bhaduri, Tamoghna Roy, Vinija Jain, Aman Chadha

    arXiv preprint, 2024 · 62 citations

    arXiv

  • Deep learning based uplink multi-user SIMO beamforming design

    Cemil Vahapoglu, Timothy J. O'Shea, Tamoghna Roy, Sennur Ulukus

    IEEE International Conference on Machine Learning for Communications, 2024 · 12 citations

    DOIarXiv

  • Deep learning based joint multi-user MISO power allocation and beamforming design

    Cemil Vahapoglu, Timothy J. O'Shea, Tamoghna Roy, Sennur Ulukus

    MILCOM 2024, 2024 · 8 citations

    DOIarXiv

  • Decoding the Diversity: A Review of the Indic AI Research Landscape

    Sankalp KJ, Vinija Jain, Sreyoshi Bhaduri, Tamoghna Roy, Aman Chadha

    arXiv preprint, 2024 · 5 citations

    arXiv

2021

  • A wideband signal recognition dataset

    Nathan West, Timothy O'Shea, Tamoghna Roy

    2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021 · 21 citations

    PDFarXiv

  • Wideband Signal Localization with Spectral Segmentation

    Nathan West, Tamoghna Roy, Timothy O'Shea

    arXiv preprint, 2021 · 15 citations

    DOIarXiv

  • 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

    Sreyoshi Bhaduri, Michelle Soledad, Tamoghna Roy, Homero Murzi, Tamara Knott

    2021 ASEE Virtual Annual Conference Content Access, 2021 · 4 citations

    PDFDOI

2020

  • MSE Analysis of Bi-scale LMS Used for Narrowband Interference Cancellation

    Tamoghna Roy, Takeshi Ikuma, A. A. Louis Beex

    2020 IEEE Latin-American Conference on Communications (LATINCOM), 2020

    PDFDOI

2019

  • Approximating the void: Learning stochastic channel models from observation with variational generative adversarial networks

    Timothy J. O'Shea, Tamoghna Roy, Nathan West

    2019 International Conference on Computing, Networking and Communications (ICNC), 2019 · 189 citations

    DOIarXiv

  • Generative adversarial radio spectrum networks

    Tamoghna Roy, Tim O'Shea, Nathan West

    Proceedings of the ACM Workshop on Wireless Security and Machine Learning, 2019 · 21 citations

    PDFDOI

2018

  • Over-the-air deep learning based radio signal classification

    Timothy J. O'Shea, Tamoghna Roy, T. Charles Clancy

    IEEE Journal of Selected Topics in Signal Processing, 2018 · 2231 citations

    DOIarXiv

  • Physical layer communications system design over-the-air using adversarial networks

    Timothy J. O'Shea, Tamoghna Roy, Nathan West, Benjamin C. Hilburn

    2018 26th European Signal Processing Conference (EUSIPCO), 2018 · 162 citations

    DOIarXiv

  • SigMF: The signal metadata format

    Ben Hilburn, Nathan West, Tim O'Shea, Tamoghna Roy

    Proceedings of the GNU Radio Conference, 2018 · 34 citations

    PDF

  • Demonstrating deep learning based communications systems over the air in practice

    Timothy J. O'Shea, Tamoghna Roy, Nathan West, Benjamin C. Hilburn

    2018 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), 2018 · 13 citations

    PDFDOI

  • Power Measurement Based Code Classification for Programmable Logic Circuits

    Tamoghna Roy, A. A. Louis Beex

    2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018 · 2 citations

    PDFDOI

  • Non-Wiener Characteristics of LMS Adaptive Equalizers: A Bit Error Rate Perspective

    Tamoghna Roy

    PhD Dissertation, Virginia Tech, 2018

    PDF

2017

  • Learning robust general radio signal detection using computer vision methods

    Tim O'Shea, Tamoghna Roy, T. Charles Clancy

    2017 51st Asilomar Conference on Signals, Systems, and Computers, 2017 · 87 citations

    PDFDOI

  • Spectral detection and localization of radio events with learned convolutional neural features

    Timothy J. O'Shea, Tamoghna Roy, Tugba Erpek

    2017 25th European Signal Processing Conference (EUSIPCO), 2017 · 54 citations

    PDFDOI

  • A word-space visualization approach to study college of engineering mission statements

    Sreyoshi Bhaduri, Tamoghna Roy

    2017 IEEE Frontiers in Education Conference (FIE), 2017 · 14 citations

    PDFDOI

  • Demonstrating use of natural language processing to compare college of engineering mission statements

    Sreyoshi Bhaduri, Tamoghna Roy

    2017 ASEE Annual Conference & Exposition, 2017 · 10 citations

    PDFDOI

2015

  • Using Grounded Theory Methodology To Study Online Community Building And Mentorship For Students Seeking Higher Education In US

    Sreyoshi Bhaduri, Tamoghna Roy

    EDULEARN15, 2015 · 1 citation

  • Non-Cooperative Localization Using Differential RSS and Link Loss Parameter Estimation

    Tamoghna Roy, A. A. (Louis) Beex

    2015 Wireless Innovation Forum Conference on Communications Technologies and Software Defined Radio (WInnComm 2015), 2015

2014

  • BER Modeling for Interference Canceling Adaptive NLMS Equalizer

    Tamoghna Roy

    MS Thesis, Virginia Tech, 2014 · 1 citation

    PDF

  • Location Verification Using Differential Received Signal Strength

    Tamoghna Roy, A. A. Louis Beex, Jeffrey H. Reed

    FCC SAS Workshop, 2014

  • Non Cooperative Localization Under Spatially Correlated Shadowing Using Weighted Differential RSS

    Tamoghna Roy, A. A. (Louis) Beex

    2014 Wireless Innovation Forum Conference on Communications Technologies and Software Defined Radio (SDR-WInnComm 2014), 2014

2013

  • BER modeling for interference canceling FIR Wiener equalizer

    Tamoghna Roy, A. A. (Louis) Beex

    International Conference on Computing, Networking and Communications (ICNC), 2013, 2013 · 2 citations

    PDFDOI