Ventures may be at a wide range of developmental stages, from ideation through commercialization. The goal of our mentor network is to catalyze the entrepreneurial success of I2C founders. Period!

I2C Innovation Mentors are subject matter experts, gurus, doers, advisors, folks who want to genuinely connect, contribute and be a pivotal resource to our companies and entrepreneurs. They are enablers of innovation, entrepreneurship and “getting it done”!

Our Innovation Mentors are available to all I2C virtual / resident companies and faculty / students looking to take their idea forward.

 

Dr. Tathagata Mukherjee

Assistant Professor, Computer Science

Contact

320 Sparkman Drive
Olin B. King Technology Hall
Room N347
Huntsville, AL 35899
Campus Map

256.824.6221
tathagata.mukherjee@uah.edu

Biography

Curriculum Vitae

Personal Website


Education

  • Ph.D (Computer Science), Florida State University, 2016
  • M.S (Computer Science), Florida State University, 2014
  • B.S (Honors in Statistics) First in First Class in Statistics, University of Kalyani, 2000

Honors & Awards

  • First in First Class (University Topper in Statistics (Honors)) University of Kalyani
  • Recipient of S.B. Dasgupta memorial award for excellence in Statistics from the University of Kalyani, from Honorable Governor of West Bengal, Mr. Viren. J. Shah
  • Selected through GATE (2005) for Pursuing Master's at IIT, DRDO SET (2007) Scientist Selection Examination for Defense Research and Development Organization, India
  • Continuously supported by Teaching & Research Assistant-ships for graduate (MS & PHD) studies@ Florida State University
  • Honorable Mention South East ACM Regional Programming Contest 2010
  • Best Teaching Assistant Award Florida State University 2010, 2014
  • Best Poster Presentation Award at Computer Science Expo, Florida State University, 2014
  • Nominated for Outstanding Teaching Assistant Award, Florida State University, Spring 2015
  • Captive Eyes Big Data Fellowship, Summer 2016
  • Captive Eyes Big Data Fellowship, Fall 2016

Expertise

  • Cyber Security
  • Digital & Mobile Forensics
  • Computer Security & Hacking
  • Cyber Law & Organized Cybercrime
  • Machine Learning (Specially interested in applications to Cognitive Radio & RADAR, Networked Systems for Highly Contested Environments, Mobile & Digital Forensics and Cybersecurity, Adversarial Learning)
  • GPS Denied Positioning, Navigation & Timing (PNT)
  • Quantum Computing & Applications
  • Deep Learning & Approximations
  • Optimization problems in Machine Learning & Data Analytics
  • Combinatorial Optimization (primarily Graph Theory)

Recent Publications

  • 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" Accepted: IEEE Journal of Radio Frequency Identification

  • 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 Big Data 2020

  • Nikita Susan Joseph, Chaity Banerjee Mukherjee, Eduardo Pasiliao Jr., Tathagata Mukherjee "Flight Sense: A Spoofer Detection and Aircraft Identification System using Raw ADS-B Data" In Proceedings of IEEE Big Data 2020

  • Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee, Eduardo Pasiliao Jr. "Adaptive Streaming of HD and 360 Videos over Software Defined Radios"Journal of Pervasive and Mobile Computing, 2020

  • Debashri Roy, Tathagata Mukherjee, Eduardo Pasiliao "Exploiting Spatio-temporal Correlation in RF Data using Deep Learning" Book Chapter: Deep Learning Applications Volume 2

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

  • Vaidyanath Areyur Shanthakumar, Chaity Banerjee, Eduardo Pasiliao Jr., Tathagata Mukher-jee, "Uncooperative Direction Finding with Neural Networks using I/Q Information" Accepted International Conference on Information Systems & Data Mining 2020

  • Chaity Banerjee, Tathagata Mukherjee, Eduardo Pasiliao Jr. "Feature Representations using the Reflected ReLU Activation" In IEEE Journal of Big Data Mining & Analytics

  • Vishal Perekadan, Tathagata Mukherjee, Chaity Banerjee, Eduardo Pasiliao Jr. "RF-MSiP: Radio Frequency Multi-Source Indoor Positioning with FM & GSM" In Proceedings of IEEE Big Data Conference 2019

  • 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