Tathagata's Research

I write everything in LaTeX.

I do not put the PDF files of my papers here to respect copyright restructions. Most of my work except the POSTERS will be found on Google Scholar and through University subscriptions. Though I value open dissemination of knowledge and support open access publications, I cannot always do that myself and would also not want to get into trouble for putting copyrighted material here. So sorry for any inconvenience.

Peer Reviewed Publications

Papers marked with a (*) are with students and/or hosted/mentored scholars.


Journal Publications

  1. (*) Debashri Roy, Alec Riden, Jared Paquet, Erik Blasch, Eduardo Pasil- iao Jr., Tathagata Mukherjee “GANSAT: A System for Detection of GPS Spoofer using SATellite Constellation Fingerprinting and GAN Train- ing” In IEEE Access, Volume 10, Pages: 45485-45507, Year 2022

  2. (*) Chaity Banerjee, Tharun Kumar Doppalapudi, Eduardo Pasiliao Jr., Tathagata Mukherjee “Camera Identification Using Image Based Deep Feature Signatures” In IEEE Journal of Big Data Mining & Analytics, Volume 5, Number 3, Pages: 206-227, Year 2022

  3. (*) Abel Alex Boozer, Arun John, Tathagata Mukherjee “Internet of Things Software and Hardware Architectures and Their Impacts on Foren- sic Investigations: Current Approaches and Challenges” In Journal of Digital Forensics, Security and Law, Volume 16, Number 2, Year 2021

  4. (*) Muthukumaran Ramaburamanian, Chaity Banerjee, Debashri Roy, Eduardo Pasiliao Jr., Tathagata Mukherjee “Exploiting Spatio-Temporal Properties of I/Q Signal Data using 3D Convolution for RF Transmitter Identification” In IEEE Journal of Radio Frequency Identification, Vol- ume 5, Number 2, Pages: 113-127, Year 2021

  5. (*) Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee, Eduardo Pasiliao Jr. “Adaptive Streaming of HD and 360°Videos over Software Defined Radios” In Journal of Pervasive and Mobile Computing, Volume 67, Year 2020

  6. (*) Debashri Roy, Tathagata Mukherjee, Eduardo Pasiliao “Exploit- ing Spatio-temporal Correlation in RF Data using Deep Learning” Book Chapter in Deep Learning Applications, Volume 2, Pages: 143-172, Year 2020, Publisher Springer

  7. Chaity Banerjee, Tathagata Mukherjee, Eduardo Pasiliao Jr. “Feature Representations using the Reflected ReLU Activation” In IEEE Journal of Big Data Mining & Analytics, Volume 3, Number 2, Year 2020

  8. (*) Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee, Erik Blasch, Eduardo Pasiliao “RFAL: Adversarial Learning for RF Transmitter Iden- tification and Classification” In IEEE Transactions on Cognitive Commu- nications and Networking, Volume 6, Number 2, Pages: 783-801, Year 2019

  9. Tathagata Mukherjee, Piyush Kumar, Debdeep Pati, Erik Blasch, Eduardo Pasiliao, Liqin Xu. “LoSI: Large Scale Location Inference through FM Signal Integration and Estimation” In IEEE Journal of Bigdata Min- ing and Analytics, Volume 2, Number 4, Year 2019

  10. (*) Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee “Machine Learning in Adversarial RF Environment” In IEEE Communications, Vol- ume 57, Number 5, Pages: 82-87, Year 2019

  11. (*) Sudhir Aggarwal, Gokila Dorai, Umit Karabiyik, Tathagata Mukher- jee, Nicholas Guerra, Manuel Hernandez, James Parsons, Khushboo Rathi, Hongmei Chi, Temilola Aderibigbe, Rodney Wilson “Design and Implementation of a Targeted Data Extraction System for Mobile Devices” Book Chapter in Advances in Digital Forensics, Pages: 73-100, Year 2019(Authors sorted by last name)

  12. Chaity Banerjee, Tathagata Mukherjee, Chad Lilian, Daniel Reasor, Xiuwen Liu and Eduardo Pasiliao “A Feature Selection Algorithm Using Neural Networks” In International Journal of Machine Learning & Computing (IJMLC), Accepted 2019, Published 2022, Volume 12, Number 1, Pages: 31-36, ISSN: 2010-3700, DOI: 10.18178/ijmlc.2022.12.1.1075


Conference Publications

  1. (*) Nikita Susan Joseph, Chaity Banerjee, Daniel Reasor, Eduardo Pasil- iao, Tathagata Mukherjee “Mesh Based Neural Networks for Estimat- ing High Fidelity CFD from Low Fidelity Input” In Proceedings of IEEE SoutheastCon 2022

  2. (*) Alec Riden, Debashri Roy, Eduardo Pasiliao Jr., Tathagata Mukher- jee “DeePOE: Deep Learning for Position and Orientation Estimation” In Proceedings of IEEE Asia Pacific Communications Conference 2021 (IEEE APCC 2021)

  3. Chaity Banerjee, Chad Lilian, Daniel Reasor, Eduardo Pasiliao, Tatha- gata Mukherjee “An Application of Generative Adversarial Networks for Robust Inference in Computational Fluid Dynamics” In Proceedings of International Conference on Information Systems & Data Mining 2021 (Published by ACM)

  4. (*) (BEST RESEARCH PAPER AWARD) Vaidyanath Areyur Shan- thakumar, Clark Barnett, Keith Warnick, Putu Ayu Sudyanti, Vitalii Gerbuz, Tathagata Mukherjee “Item Based Recommendation Using Matrix-Factorization-Like Embeddings From Deep Networks” In Proceed- ings of ACM South East Conference 2021

  5. Sudhir Aggarwal, James Parsons, Shiva Housmand, Tathagata Mukher- jee “An Empirical Study on Efficiency of a Dictionary Based Viterbi Al- gorithm for Word Segmentation” In Proceedings of IEEE International Conference on Big Data 2020

  6. (*) Nikita Susan Joseph, Chaity Banerjee Mukherjee, Eduardo Pasiliao Jr., Tathagata Mukherjee “FlightSense: A Spoofer Detection and Air- craft Identification System using Raw ADS-B Data” In Proceedings of IEEE International Conference on Big Data 2020

  7. (*) (POSTER) Nikita Susan Joseph, Chaity Banerjee Mukherjee, Eduardo Pasiliao Jr., Tathagata Mukherjee “A Robust Learning Framework For Aircraft Identification Using ADS-B I/Q Information” Presented at Von Braun Symposium 2020

  8. Chaity Banerjee, Tathagata Mukherjee, Eduardo Pasiliao “The Multi- phase ReLU Activation Function” In Proceedings of ACM Southeast (ACMSE) Conference 2020

  9. (*) Vaidyanath Areyur Shanthakumar, Chaity Banerjee, Eduardo Pasil- iao Jr., Tathagata Mukherjee, “Uncooperative Direction Finding with Neural Networks using I/Q Information” In Proceedings of International Conference on Information Systems & Data Mining 2020

  10. (*) Vishal Perekadan, Tathagata Mukherjee, Chaity Banerjee, Eduardo Pasiliao Jr. “RF-MSiP: Radio Frequency Multi-Source Indoor Positioning with FM & GSM” In Proceedings of IEEE International Conference on Big Data 2019

  11. (*) Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee, Eduardo Pasiliao Jr. “RF Transmitter Fingerprinting Exploiting Spatio-temporal Properties in Raw Signal Data” In Proceedings of IEEE International Conference of Machine Learning & Applications (ICMLA) 2019

  12. (*) (POSTER) Vishal Perekadan, Tathagata Mukherjee, Chaity Baner- jee, Eduardo Pasiliao Jr. “RF-MSP: Radio Frequency Based Multi-Source Positioning in Indoor Environments” Presented at Von Braun Symposium, American Astronautical Society, 2019

  13. (*) Debashri Roy, Mainak Chatterjee, Tathagata Mukherjee, Eduardo Pasiliao Jr. “Primary User Activity Prediction in DSA Networks using Recurrent Structures” In Proceedings of IEEE DySPAN 2019

  14. (*) Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee, Eduardo Pasiliao Jr. “Defense against PUE Attacks in DSA Networks using GAN based Learning” In Proceedings of IEEE Globecom 2019

  15. Chaity Banerjee, Tathagata Mukherjee, Eduardo Pasiliao “An Em- pirical Study on Generalizations of the ReLU Activation Function” In Proceedings of ACM Southeast (ACMSE) Conference 2019

  16. (*) Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee, Eduardo Pasiliao Jr. “Detection of Rogue RF Transmitters using Generative Adver- sarial Nets” In Proceedings of IEEE Wireless Communications and Net- working Conference (WCNC) 2019

  17. (*) (BEST PAPER RUNNER UP) Debashri Roy, Tathagata Mukher- jee, Mainak Chatterjee, Eduardo Pasiliao Jr. “Adaptive Video Encoding and Channel Selection for Video Streaming over SDRs” In Proceedings of 37th IEEE International Performance Computing and Communications Conference 2018

  18. (*) Orhan Akal, Tathagata Mukherjee, Adrian Barbu, Jared Paquet, Kevin George, Eduardo Pasiliao Jr. “A Distributed Sensing Approach for Single Platform Image-based Localization” In Proceedings of 17th IEEE International Conference on Machine Learning & Applications (ICMLA), 2018

  19. Biswas Parajuli, Piyush Kumar, Tathagata Mukherjee, Sachin Jam- bawalikar, Eduardo Pasiliao Jr. “Fusion of Aerial Lidar and Images for Road Segmentation with Deep CNN” In Proceedings of 26th ACM Sig- patial International Conference on Advances in Geographic Information Systems 2018, Seattle, Washington

  20. (*) (POSTER) Debashri Roy, Tathagata Mukherjee, Mainak Chatter- jee, Eduardo Pasiliao “Detection of Rogue Transmitters in RFML System for Vehicular Networks using SDR.” Presented in NEWSDR 2018 Boston MA

  21. Tathagata Mukherjee, Andreas Adolfson, Piyush Kumar, Eduardo Pasil- iao, “Hierarchical Learning For FM Radio Based Aerial Localization Using RSSI.” In Proceedings of GNU Radio Conference, Volume 2, 2017

  22. Tathagata Mukherjee, Michael Duckett, Piyush Kumar, Daniel Rodriguez, Jared Paquet, Mallory Haulcomb, Kevin George, Eduardo Pasil- iao. “RSSI-Based Supervised Learning For Uncooperative Direction-Finding.” In Proceedings of Joint European Conference on Machine Learning and Knowledge Discovery in Databases 2017, pp 216-227

  23. Tathagata Mukherjee, Biswas Parajuli, Piyush Kumar, Eduardo Pasiliao. “TruthCore: Non-parametric Estimation of Truth from a Collection of Authoritative Sources.”IEEE International Conference on Big Data, 2016, pp 976-983

  24. Piyush Kumar, Tathagata Mukherjee, Eduardo Pasiliao, Liqin Xu. “Cheap Approximate Localization Using FM Radio” Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015 (Authors sorted by last name)


Under Preparation & Review

  1. (*) Vaidyanath Areyur Shanthakumar, Wanbin Li, Vitalii Gerbuz, John Savage, Keith Warnick, Putu Ayu Sudyanti, Tathagata Mukherjee “Fighting missing modalities with masked Autoencoders: A recommender systems problem” Under Review in ACM RecSys 2022

  2. (*) Shinelle Hutchinson, Mohammad Meraj Mirza, Nicholas West, Umit Karabiyik, Tathagata Mukherjee “Investigating Fitness Applications: Data Privacy and Digital Forensics Analysis on Android” Under Review in Journal of Surveillance, Security and Safety

  3. Tathagata Mukherjee , Alexander Veremeyev, Vladimir Boginski, Eduardo Pasiliao Jr. “The Minimum Edge Compact Spanner Problem” Ready for submission to Journal of Global Optimization

  4. (*) Arun John, Rahul Ramachandran, Manil Maskey, Christopher Lymes, Tathagata Mukherjee “An Empirical Study of Data Tampering Detec- tion Methods for Data Replicated on the Cloud ” In preparation for IEEE Access


Patents

  1. Method for Passive Approximate Localization using Frequency Modula- tion and Software Defined Radio (USPTO Patent Granted August 2018, Application Number 15276737)

  2. Design and Implementation of a Targeted Data Extraction System for Mobile Forensics (Patent application filed with USPTO Docket Number 6624-06401, January 16, 2020)

  3. Systems and Methods for Identifying Transmitters (a Utility Application filed March 24, 2021 (UAH-P-19001 & UAH-P-19024) )

  4. GANSAT: A Gan and SATellite Constellation Fingerprint-based Frame- work for GPS Spoofer Detection and Location Estimation in GPS De- prived Environment (an Utility has been filed.)


To get to know, to discover, to publish—this is the destiny of a scientist
— Alan L. MacKay in A Harvest of a Quiet Eye (1977)
As far as he can achieve it, readability is as important for the scientific writer as it is for the novelist
— D.O. Hebb and Dalbir Bindra, 'Scientific Writing and the General Problem of Communication', The American Psychologist (Oct 1952)
Copying extensively from one source is plagiarism; copying extensively from several is research.
— N. E. Renton, Compendium of Good Writing: A Plain English Guide (2007)