Dr. Tathagata Mukherjee

Dr. Tathagata Mukherjee

Associate Professor, Computer Science, UAH

Publications

Journal Articles

  1. Hera Siddiqui, Chaity Banerjee, Erik Blasch, Eduardo Pasiliao, Tathagata Mukherjee “Deep Feature Learning with Concatenated Rectified Pooling Units” Accepted in IEEE Journal of Big data Mining & Analytics (Impact factor 7)

  2. Pushwitha Krishnappa, Lance Lindner, Eduardo Pasiliao, Tathagata Mukherjee “Identifying NSFW Groups on Reddit Social Network By Identifying Highly Interconnected Subreddits Through Analysis of Implicit Communication Patterns” Published in MDPI Applied Sciences (Impact Factor 2.4) 2024

  3. Shinelle Hutchinson, Mohammad Meraj Mirza, Nicholas West, Umit Karabiyik, Marcus K Rogers, Tathagata Mukherjee, Sudhir Aggarwal, Haeyong Chung, Carrie Pettus Davis “Investigating Wearable Fitness Applications: Data Privacy and Digital Forensics Analysis on Android” Accepted in Applied Sciences Journal, (Impact Factor 2.4) September 2022

  4. Rahul Ramachandran, Manil Maskey, Christopher Lymes, Arun John, Tathagata Mukherjee “Investigating Different data Traceability Approaches to Prevent Data Swamps” Accepted In IEEE Geo-science and Remote Sensing Magazine, September 2022

  5. Debashri Roy, Tathagata Mukherjee, Alec Riden, Jared Paquet, Eduardo Pasiliao Jr., Erik Blasch “GANSAT: A System for Detection of GPS Spoofer using SATellite Constellation Fingerprinting and GAN Training” In IEEE Access, Volume 10, Pages: 45485-45507, Year 2022

  6. Chaity Banerjee, Tharun Kumar Doppalapudi, Eduardo Pasiliao Jr., {\bf 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 (Impact Factor 7)

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

  8. 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, Volume 5, Number 2, Pages: 113-127, Year 2021

  9. Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee, Eduardo Pasiliao Jr. “Adaptive Streaming of HD and 360 Degree Videos over Software Defined Radios’’ In Journal of Pervasive and Mobile Computing, Volume 67, Year 2020

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

  11. 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 (Impact factor 7)

  12. Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee, Erik Blasch, Eduardo Pasiliao “RFAL: Adversarial Learning for RF Transmitter Identification and Classification” In IEEE Transactions on Cognitive Communications and Networking, Volume 6, Number 2, Pages: 783-801, Year 2019 (Impact factor 7.4)

  13. 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 Mining & Analytics, Volume 2, Number 4, Year 2019 (Impact factor 7)

  14. Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee “Machine Learning in Adversarial RF Environment” In IEEE Communications, Volume 57, Number 5, Pages: 82-87, Year 201915.

  15. Sudhir Aggarwal, Gokila Dorai, Umit Karabiyik, Tathagata Mukherjee, 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

  16. 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 Articles

  1. Alexander Semenov, Chaity Banerjee Mukherjee, Vladimir Boginski, Eduardo Pasiliao, Tathagata Mukherjee “Gradient Upsampling for Enhanced Image Resolution and Classification” In Proceedings of CSoNet 2024

  2. Vishal Parekadan, Chaity Banerjee, Tathagata Mukherjee, Eduardo Pasiliao Jr. Hovannes Kulhandjian, Mickel Kulhandjian, “MOD3NN: A Framework for Automatic Signal Modulation Detection Using 3D CNN” In Proceedings of FLAIRS 2023

  3. Suresh Marru, Brian Freitag, Dimuthu Wannipurage, Uday Kumar Bommala, Patrick Pradier, Christophe Demange, Nishan Pantha, Tathagata Mukherjee, Betlem Rosich, Eric Monjoux, Rahul Ramachandran “Blaze: A High-Performance, Scalable, and Efficient Data Transfer Framework with Configurable and Extensible Features; Principles, Implementation, and Evaluation of a Transatlantic Inter-Cloud Data Transfer Case Study” In Proceedings of IEEE Cloud 2023

  4. Bishwas Praveen, Vineetha Menon, Tathagata Mukherjee, Bryan Mesmer, Steven Corns “An Effective Transfer Learning-Based Feature Extraction And Landmark Detection Framework For UAV-Based Aerial Imagery Of Urban Landscapes” In Proceedings of IEEE Southeast Con 2023

  5. Nicholas Diliberti, Haeyong Chung, Yansi Keim, Marc Rogers, Umit Karabiyik, Sudhir Aggarwal, Tathagata Mukherjee, Carrie Pettus “Supporting and Motivating Re-integration of the Justice-Involved Individuals through Gamification” In Proceedings of International Conference on Human Computer Interaction, Denmark

  6. Hovannes Kulhandjian, Elizabeth Batz, Eduardo Garcia, Selena Vega, Sanjana Velma, Michel Kulhandjian, Claude D’Amours, Burac Kantarci, Tathagata Mukherjee “AI Based RF Fingerprinting using Software defined Radios” In Proceedings of IEEE ICNC 2023}*

  7. Nikita Susan Joseph, Chaity Banerjee, Daniel Reasor, Eduardo Pasiliao, *Tathagata Mukherjee “Mesh Based Neural Networks for Estimating High Fidelity CFD from Low Fidelity Input” In Proceedings of IEEE SoutheastCon 2022

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

  9. Chaity Banerjee, Chad Lilian, Daniel Reasor, Eduardo Pasiliao, Tathagata 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)

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

  11. Sudhir Aggarwal, James Parsons, Shiva Housmand, Tathagata Mukherjee “An Empirical Study on Efficiency of a Dictionary Based Viterbi Algorithm for Word Segmentation” In Proceedings of IEEE International Conference on Big Data 2020

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

  13. (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

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

  15. Vaidyanath Areyur Shanthakumar, Chaity Banerjee, Eduardo Pasiliao Jr., Tathagata Mukherjee, “Uncooperative Direction Finding with Neural Networks using I/Q Information” In Proceedings of International Conference on Information Systems & Data Mining 2020

  16. 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

  17. 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

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

  19. 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

  20. 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

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

  22. Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee, Eduardo Pasiliao Jr. “Detection of Rogue RF Transmitters using Generative Adversarial Nets” In Proceedings of IEEE Wireless Communications and Networking Conference (WCNC) 2019

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

  24. 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 17 th IEEE International Conference on Machine Learning & Applications (ICMLA), 2018

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

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

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

  28. Tathagata Mukherjee, Michael Duckett, Piyush Kumar, Daniel Rodriguez, Jared Paquet, Mallory Haulcomb, Kevin George, Eduardo Pasiliao. “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

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

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

Patents

  1. Method for Passive Approximate Localization using Frequency Modulation and Software Defined Radio (USPTO Patent 15276737 Granted August 2018)

  2. System And Method For Targeted Data Extraction From Mobile Devices (USPTO Patent 11,513,812 Granted November 2022)

  3. Systems and Methods for Identifying Transmitters (USPTO Patent 17/211435 Granted 2024)

  4. A Gan and SATellite Constellation Fingerprint-based Framework for GPS Spoofer Detection and Location Estimation in GPS Deprived Environment (Utility application filed October 1, 2021 (UAH-P-20027), currently pending patent decision)