Debashri Roy, PhD

Associate Research Scientist
 d.roy@northeastern.edu
 http://www1.coe.neu.edu/~droy/ https://www.linkedin.com/in/debashri-roy/ https://github.com/debashriroy

Current Research Interests
 Multimodal Sensor Fusion: Deep learning based fusion of multimodal sensing data from LiDAR,

camera, GPS, acoustic, radar, and radio frequency sensors for situational assessment, enabling digital twins and autonomous vehicles; Practical demonstration on millimeter wave band and V2X
networks.

 Deep Spectrum Learning in NextG Communication: Deep learning based solutions in wirelessspectrum sensing, sharing, signal detection, and RF fingerprinting; Applied research in the CBRS
and sub-6 GHz band.

 Networked Robotics: Reinforcement learning for coordination, computation and communication

for unmanned autonomous systems; Real-world and emulation study on automated factory floorin Industry 4.0.

Educa on08/15 - 04/20

 Ph.D., Computer Science, University of Central Florida.

08/15 - 04/18

 Master of Science, Computer Science, University of Central Florida.

07/11 - 07/13

07/05 - 06/09

Thesis title: Machine Learning based RF Transmitter Characterization in the Presence ofAdversaries. Advisor: Dr. Mainak Chatterjee.

 Master of Engineering, Information Technology, Indian Institute of Engineering

Science and Technology, Shibpur.
Thesis title: Study and Design of Algorithms for Optimization in Global Routing for 3D
Integrated Circuits. Advisor: Dr. Prasun Ghosal.

 Bachelor of Engineering, Information Technology, Indian Institute of Engineer-ing Science and Technology, Shibpur.

Professional Experiences
04/22 - Cur

 Working as Associate Research Scientist at Northeastern University. Boston, USA.

07/20 - 03/22

 Experiential AI Post-doc at Northeastern University. Boston, USA. (Full time)

05/20 - 06/20

 Research Scientist at University of Florida Research and Engineering Education

05/19 - 08/19

 Summer Intern at University of Florida Research and Engineering Education Fa-

05/18 - 08/18

 Summer Intern at Intelligent Robotics Inc. Tallahassee, USA. (Full time)

05/17 - 08/17

 Summer Intern at University of Florida Research and Engineering Education Fa-

01/16 - 04/17

 PhD Intern at Athena-Tek LLC. Orlando, USA. (Part time)(Full time)
Supervisor: Prof. Kaushik Chowdhury.

Supervisor: Prof. Kaushik Chowdhury.

Facility. Shalimar, USA. (Full time)
Project: RF Antenna Pose and Range Estimation using Deep Learning.

cility. Shalimar, USA. (Part time)
Project: GPS Spoofer Detection using Satellite Fingerprinting and GAN Training.

Project: Detection of Rouge Transmitter in Radio Frequency Machine Learning System.
cility. Shalimar, USA. (Part time)
Project: Channel Adaptive Real-time Video Steaming over DSA.

Areas: LVC (Live Virtual Constructive) Networks- Modeling and Simulation.

Professional Experiences (con nued)
08/17 - 12/19

 Graduate Teaching Assistant at University of Central Florida, USA. (Part time)

07/13 - 06/15

 Research Scholar at Indian Institute of Engineering Science and Technology,

07/09 - 08/11

 Software Engineer at Metalogic System Private Limited, Kolkata, India. (FullCourses Taught: Computer Science II (COP 3503), Systems Software (COP 3402), Object
Oriented Programming (COP 3330), Operating Systems (COP 4600), Advanced Computer
Architecture (CDA 5106).
Shibpur, India. (Full time)
Project: Performance-centric Design Optimization in 3D Nanoscale Integrated Circuits andSystems.
time)
Role: 2 years and 2 months of experience in Core Java, J2EE, Swing and Java EE based
application development, and worked in four different projects.

Awards and Achievements
Awards IEEE Senior Member, Nov 2022.

 Doctoral Research Support Award from College of Graduate Studies of University ofCentral Florida, USA, 2019 (∼$5000).

 Best Paper Runner-up award, IEEE International Performance, Computing, and Com-munications Conference, USA, 2018.

 NSF Student Travel Grant, IEEE Global Communications Conference, USA, 2019(∼$1200).

 NSF Student Travel Grant, IEEE International Symposium on Dynamic Spectrum AccessNetworks, USA, 2019 (∼$800).

Fellowship

Scholarship
Membership Selected as Grace Hopper Scholar, 2016.

 Presentation Fellowship from University of Central Florida, USA, 2019 (∼$500).

 GATE Scholarship from Ministry of Human Resource Development (MHRD), India, Au-gust 2011- June 2013.

 IEEE, ComSoc, SIAM [2018-Present].

External Sponsored Research Funding
NSF

 MEDUSA: Mid-band Environmental Sensing Capability for Detecting Incumbents during Spec-trum Sharing, National Science Foundation Spectrum and Wireless Innovation enabled by FutureTechnologies (NSF SWIFT) Program, Nov. 2022- Oct. 2025, Co-PI. Total Funding: $750,000;
Roy’s share: $188,066.

Research Publica ons
Summary: h-index = 9, i10-index =8, citations = 301, with total of 12 journal/magazine papers, 17conference/symposium papers, 2 book chapters, 5 provisional patents. All metrics retrieved from Google
Scholar in Jan 2023.

Selected Journal Ar cles
123Batool Salehi, Guillem Reus-Muns, Debashri Roy, Zifeng Wang, Tong Jian, Jennifer Dy, … Kaushik
Chowdhury. (2022). Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular
Network. IEEE Transactions on Vehicular Technology. doi:10.1109/TVT.2022.3170733
Debashri Roy, Tathagata Mukherjee, Alec Riden, Jared Paquet, Eduardo Pasiliao, & Erik Blasch.
(2022). GANSAT: A GAN and SATellite Constellation Fingerprint-based Framework for GPS SpoofDetection and Location Estimation in GPS Deprived Environment. IEEE Access, 10, 45485–45507.
doi:10.1109/ACCESS.2022.3169420
Debashri Roy, Yuanyuan Li, Tong Jian, Peng Tian, Kaushik R. Chowdhury, & Stratis Ioannidis.
(2022). Multi-modality Sensing and Data Fusion for Multi-vehicle Detection. IEEE Transactions onMultimedia, 1–16. doi:10.1109/TMM.2022.3145663

456

7891011

Jerry Gu, Batool Salehi, Debashri Roy, & Kaushik R. Chowdhury. (2022). Multimodality in mmWave
MIMO Beam Selection using Deep Learning: Datasets and Challenges. IEEE Communications Magazine,
1–7. doi:10.1109/MCOM.002.2200028
Mauro Belgiovine, Kunal Sankhe, Carlos Bocanegra, Debashri Roy, & Kaushik R. Chowdhury. (2021).
Deep Learning at the Edge for Channel Estimation in Beyond-5G Massive MIMO. IEEE Wireless Communications Magazine, 28(2), 19–25. doi:10.1109/MWC.001.2000322
Muthukumaran Ramasubramanian, Chaity Banerjee, Debashri Roy, Tathagata Mukherjee, & Eduardo
Pasiliao. (2021). Exploiting Spatio-Temporal Properties of I/Q Signal Data using 3D Convolution for
RF Transmitter Identification. IEEE Journal of Radio Frequency Identification, 1–1. doi:10.1109/JRFID.
2021.3051901
Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee, & Eduardo Pasiliao. (2020). Adaptive Streaming of HD and 360 Degree Videos over Software Defined Radios. Elsevier Pervasive and Mobile Computing, 67, 101215. doi:https://doi.org/10.1016/j.pmcj.2020.101215
Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee, Erik Blasch, & Eduardo Pasiliao. (2020).
RFAL: Adversarial Learning for RF Transmitter Identification and Classification. IEEE Transactions onCognitive Communications and Networking, 6(2), 783–801. doi:10.1109/TCCN.2019.2948919
Debashri Roy, Tathagata Mukherjee, & Mainak Chatterjee. (2019). Machine Learning in Adversarial
RF Environments. IEEE Communications Magazine, 57(5), 82–87. doi:10.1109/MCOM.2019.1900031
Debashri Roy, Mainak Chatterjee, & Eduardo Pasiliao. (2017). Video Quality Assessment for Intervehicular Streaming with IEEE 802.11p, LTE, and LTE Direct Networks over Fading Channels. Elsevier
Computer Communications, 118(100), 69–80. doi:https://doi.org/10.1016/j.comcom.2017.09.010
Debashri Roy, Prasun Ghosal, & Saraju P. Mohanty. (2015). FuzzRoute: A Thermally Efficient CongestionFree Global Routing Method for Three-Dimensional Integrated Circuits. ACM Transaction of DesignAutomation Electronic Systems, 21(1), 1–38. doi:10.1145/2767127

Selected Conference Proceedings
12345678

Debashri Roy, Vini Chaudhury, Chineneye Tassie, Chad M Spooner, & Kaushik R. Chowdhury. (2023,May). ICARUS: Learning on IQ and Cycle Frequencies for Detecting Anomalous RF Underlay Signals.
In IEEE International Conference on Computer Communications (INFOCOM).
Jerry Gu, Batool Salehi, Snehal Pimple, Debashri Roy, & Kaushik R. Chowdhury. (2023, May). TUNE:
Transfer Learning in Unseen Environments for V2X mmWave Beam Selection. In IEEE International
Conference on Communications (ICC).
Tong Jian, Debashri Roy, Batool Salehi, Nasim Soltani, Kaushik R. Chowdhury, & Stratis Ioannidis.
(2023, May). Communication-Aware DNN Pruning. In IEEE International Conference on Computer Communications (INFOCOM).
Amr Salah Kassab, Stella Banou, Debashri Roy, & Kaushik R. Chowdhury. (2022, December). FERST:A Full ECG Reception System for User Authentication using Two-stage Deep Learning. In IEEE Global
Communications Conference (GLOBECOM).
Batool Salehi, Jerry Gu, Debashri Roy, & Kaushik R. Chowdhury. (2022). FLASH: Federated Learning
for Automated Selection of High-band mmWave Sectors. In IEEE International Conference on Computer
Communications (INFOCOM) (pp. 1719–1728). doi:10.1109/INFOCOM48880.2022.9796865
Nasim Soltani*, Vini Chaudhury*, Debashri Roy, & Kaushik R. Chowdhury. (2022, December). Finding Waldo in the CBRS Band: Signal Detection and Localization in the 3.5 GHz Spectrum. In IEEE
Global Communications Conference (GLOBECOM).
Alec Riden, Debashri Roy, Tathagata Mukherjee, & Eduardo Pasiliao. (2021, October). DeePOE: Deep
Learning for Position and Orientation Estimation. In 26th IEEE Asia Pacific Conference on Communications (pp. 235–242). doi:10.1109/APCC49754.2021.9609872
Guillem Reus-Muns, Batool Salehi, Debashri Roy, Tong Jian, Zifeng Wang, Jennifer Dy, … Kaushik
Chowdhury. (2021). Deep Learning on Visual and Location Data for V2I mmWave Beamforming. InIEEE International Conference on Mobility, Sensing and Networking (MSN) (pp. 559–566). doi:10.1109/
MSN53354.2021.00087

910111213141516

Sayanta Seth, Debashri Roy, & Murat Yuksel. (2020). Spectrum Sharing Secondary Users in Presence of Multiple Adversaries. In International Conference on NETwork Games COntrol and oPtimization(pp. 125–135). Springer International Publishing.
Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee, & Eduardo Pasiliao. (2019a, December). Defense against PUE Attacks in DSA Networks using GAN based Learning. In IEEE Global Communications
Conference (GLOBECOM) (pp. 1–6). doi:10.1109/GLOBECOM38437.2019.9014014
Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee, & Eduardo Pasiliao. (2019b, April). Detection of Rogue RF Transmitters using Generative Adversarial Nets. In IEEE Wireless Communications
and Networking Conference (WCNC) (pp. 1–7). doi:10.1109/WCNC.2019.8885548
Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee, & Eduardo Pasiliao. (2019c, November).
Primary User Activity Prediction in DSA Networks Using Recurrent Structures. In IEEE International
Symposium on Dynamic Spectrum Access Networks (DySPAN) (pp. 1–10). doi:10.1109/DySPAN.2019.
8935716
Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee, & Eduardo Pasiliao. (2019d, December).
RF Transmitter Fingerprinting Exploiting Spatio-temporal Properties in Raw Signal Data. In IEEE
International Conference on Machine Learning and Applications (ICMLA) (pp. 89–96). doi:10 . 1109 /ICMLA.2019.00023
Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee, & Eduardo Pasiliao. (2018, November).
Adaptive Video Encoding and Dynamic Channel Access for Real-time Streaming over SDRs. In IEEE
International Performance Computing and Communications Conference (IPCCC) (pp. 1–9). [Best Paper
Runner-up Award]. doi:10.1109/PCCC.2018.8710795
Debashri Roy, Prasun Ghosal, & Saraju P. Mohanty. (2014, July). FuzzRoute: A Method for Thermally
Efficient Congestion Free Global Routing in 3D ICs. In IEEE Computer Society Annual Symposium on
VLSI (ISVLSI) (pp. 71–76). doi:10.1109/ISVLSI.2014.52
Debashri Roy & Prasun Ghosal. (2013, July). A Fuzzified Approach Towards Global Routing in VLSI
Layout Design. In IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1–8). doi:10.1109/
FUZZ-IEEE.2013.6622477

Book Chapters
12

Debashri Roy, Tathagata Mukherjee, & Eduardo Pasiliao. (2021). Exploiting Spatio-temporal Correlation in RF Data using Deep Learning. In Deep Learning Applications, Volume 2 (pp. 143–172). Springer.
doi:10.1007/978-981-15-6759-9_7
Chandan Bandyopadhyay, Shalini Parekh, Debashri Roy, & Hafizur Rahaman. (2020). Improving
the Designs of ESOP-Based Reversible Circuits. In Design and Testing of Reversible Logic (pp. 49–64).
doi:10.1007/978-981-13-8821-7_4

Patents Filed1234

5

Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee, & Eduardo Pasiliao. (U.S. Patent 2020,March). Transmitter Identification Using Adversarial Networks and IQ Data. Status: Provisional Patent Application (62/993,748).
Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee, Erik Blasch, & Eduardo Pasiliao. (U.S. Patent 2020, March). Adversarial Learning for RF Transmitter Identification and Classification. Status:
Provisional Patent Application (62/993,751).
Kaushik Chowdhury & Debashri Roy. (U.S. Patent 2022, February). FLASH: Federated Learning for
Automated Selection of High-band mmWave Sectors. Status: Provisional Patent Application (63/314,336).
Kaushik Chowdhury & Debashri Roy. (U.S. Patent 2023, January). System for Software-Based Emulation of Wireless Communication Environments for Autonomous Vehicles. Status: Provisional PatentApplication (63/441,175).
Tathagata Mukherjee, Eduardo Pasiliao, Debashri Roy, Alec Riden, & Jared Paquet. (U.S. Patent2020, November). GANSAT: A GAN and SATellite Constellation Signal-based Framework for Detecting GPS Spoofers. Status: Provisional Patent Application (63/086, 126).

Submi ed Ar cles
12345Batool Salehi, Debashri Roy, Jerry Gu, Chris Dick, & Kaushik Chowdhury. (2022). FLASH-and-Prune:
Federated Learning for Automated Selection of High-band mmWave Sectors using Model Pruning. InIEEE Transactions on Mobile Computing. Submitted 08/10/22.
Debashri Roy, Batool Salehi, Stella Banou, Subhramoy Mohanti, Guillem Reus-Muns, Mauro Belgiovine, … Kaushik Chowdhury. (2022). Going Beyond RF: How AI-enabled Multimodal Beamforming
will Shape the NextG Standard. In Elsevier Computer Networks. Submitted 09/28/21.
Subhramoy Mohanti, Debashri Roy, Mark Eisen, Dave Cavalcanti, & Kaushik Chowdhury. (2022).
L-NORM: Learning and Network Orchestration at the Edge for Robot Connectivity and Mobility in
Factory Floor Environments. In IEEE Transactions on Mobile Computing. Submitted 08/03/22, Revised
01/09/23.
Utku Demir*, Batool Salehi*, Debashri Roy, Suyash Pradhan, Stratis Ioannidis, & Kaushik Chowdhury. (2022). Multiverse at the Edge: Interacting Virtual and Real Worlds for Automative Wireless
Beamforming. In IEEE Journal on Selected Areas in Communications. Submitted 12/01/22.
Nasim Soltani, Debashri Roy, & Kaushik Chowdhury. (2021). PRONTO: Preamble Overhead Reduction with Neural Networks for Coarse Synchronization. In IEEE Transactions on Wireless Communications. Submitted 12/20/21, Revised 07/06/22, 11/20/22.

Miscellaneous Experiences
Editorial Board
2021-current
2022-current

 Associate Editor in Elsevier Software Impact journal.

 Technical Editor in Elsevier Computer Communications journal (IF: 3.167).

OC Member2023

 Publicity Co-chair at IEEE Consumer Communications & Networking Confer-2022

 Publicity Co-chair at IEEE Consumer Communications & Networking Confer-2021

 Member of ‘Women in AI’ panel at the NSF AI Edge Institute.

ence (CCNC).
ence (CCNC).

 Web Chair at International Symposium on Dynamic Spectrum Access Net-works (DySPAN).

 Session Chair at IEEE International Conference on Computer Communications(INFOCOM).

 Poster Co-chair at IEEE International Symposium on Local and Metropolitan

2019

Area Networks (LANMAN).
 Member of Graduate Grade Appeal Committee, University of Central Florida.

Board Member2022 ‘Mentoring Co-Chair’ at IEEE ComSoc N2Women Board.

 Member of ‘Women in AI and Networking’ Panel in AI Edge Institute.

TPC Member
ACM MobiHoc 22, 23

 In International Symposium on Theory, Algorithmic Foundations, and Pro-

IEEE ICC 22 23

 In ‘Mobile and Wireless Networks Symposium’ at IEEE International Confer-

IEEE CCNC 22, 23

IEEE ICDCS 22, 23
IEEE LANMAN 22, 23

tocol Design for Mobile Networks and Mobile Computing (MobiHoc).
ence on Communications.

 In ‘Consumer Communications & Networking Conference’.

 In ‘Internet of Things and Cyber Physical Systems’ at IEEE International Con-

ference on Distributed Computing Systems.

 In IEEE International Symposium on Local and Metropolitan Area Networks(LANMAN).

Miscellaneous Experiences (con nued)
IEEE ICCCN 22 21IEEE VTC 22
IEEE DySPAN 21

ACM CCGrid 21, 22
IEEE ICC 21

IEEE CCNC 21
TCB6GN 21

 In 30th ‘International Conference on Computer Communications and Net-works’.
 In ‘Green Communications and Networks’ track at IEEE 95th Vehicular Technology Conference.
 In IEEE International Symposium on Dynamic Spectrum Access Networks.
 In ‘Serverless To sErvE moRe at Scale’ workshop.

 In ‘SAGE: Green Solutions for smArt Environment’ workshop.

 In ‘AI/ML in Wireless Sensing, Communication and Applications’ track.

 In ‘Traffic Congestion in Beyond 5G/6G Networks” workshop, in conjunction

with IEEE CCNC.

ReviewerJournal

 IEEE Journal on Selected Areas in Communications, IEEE Transactions onConference

 IEEE INFOCOM 21, Wi-DroIT 20, IEEE ICC 20, IEEE TSP 20, ICDCN 20, IEEEACMSE 22

 Practical Use of SDR for Machine Learning in RF Environments.

Wireless Communications, IEEE Transactions on Networking, IEEE Transactions on Mobile Computing, IEEE Transactions on Vehicular Technology,IEEE Transactions on Information Forensics & Security, IEEE Transactions on
Cognitive Communications and Networking, IEEE Transactions on Intelligent
Transportation Systems, IEEE Internet of Things Magazine, IEEE Communications Magazine, IEEE Communications Letters, IEEE Networking Letters, Elsevier Pervasive and Mobile Computing, Elsevier Computer Communications,Elsevier Computational and Structural Biotechnology.
DySPAN 19, ACM MMSYS 19, ACM NOSSDAV 18, 19, ACM SIGMM 17, IEEE
ISVLSI 14, 15.

Tutorial

Technical Talks
WiCyS 22

 Invited talk in Women in CyberSecurity organization.

ICMLA 19

 RF Transmitter Fingerprinting Exploiting Spatio-temporal Properties in Raw

AI-EDGE 22

DySPAN 19
IPCCC 18

GRCon 18

FUZZ IEEE 13

 Invited paenslist in NSF AI-EDGE Institution summer internship program.

Signal Data.

 Primary User Activity Prediction in DSA Networks Using Recurrent Structures.

 Adaptive Video Encoding and Dynamic Channel Access for Real-time Stream-ing over SDRs.

 GNURadio Support for Real-time Video Streaming over a DSA Network.
 A Fuzzified Approach Towards Global Routing in VLSI Layout Design.

Mentorships
07/20 - cur Mentoring 1 postdoctoral fellow, 6 PhD students, and 3 MS students at Next

08/21 - 12/21

 Mentored one minority undergraduate student as part of WeSupport Tier 2

08/20 - 12/20

 Mentored ‘NU Huskies’ team (ranked 3rd) in ITU AI/ML in 5G Challenge

01/20 - 06/20

 Mentored 3 graduate students from University of Alabama, Huntsville, USA.

01/10 - 04/19
Summer 18, 19

GEneration NEtworks and SYStems Lab, Northeastern University, USA.
mentorship program, Northeastern University, USA.

[‘Beam-selection’ track], Northeastern University, USA.

 Mentored 2 undergraduate students in L.E.A.R.N Undergraduate Research

Program in University of Central Florida.

 Mentored 2 graduate summer interns in University of Florida Research andEngineering Education Facility. Shalimar, USA.

Teaching Interests
Graduate
Undergraduate Applied Machine Learning, Advanced Computer Networking, Wireless Communica-tion, Futuristic Networks.
 Computer Networks, Communication Systems, Object Oriented Programming, Operating Systems.

References
Prof. Kaushik Roy Chowdhury
Professor
Northeastern University,
805 Columbus Ave, Boston, MA 02120
Phone: +1 (617) 373-5294
 krc@ece.neu.edu

Dr. Stratis Ioannidis
Associate Professor
Northeastern University,
805 Columbus Ave, Boston, MA 02120
Phone: +1 (617) 373-6358
 ioannidis@ece.neu.edu

Dr. Hulya Seferoglu
Associate Professor
University of Illinois at Chicago,
1037 SEO, 851 S Morgan St., Chicago, IL, 60607
Phone: +1 (312) 413-7573
 hulya@uic.edu

Dr. Tathagata Mukherjee
Assistant Professor
University of Alabama in Huntsville,
301 Sparkman Dr NW, Huntsville, AL 35899
Phone: +1 (256) 824-6221
 tm0130@uah.edu