Northeastern University Wireless Networks and Embedded Systems Lab
Jithin Jagannath

Jithin Jagannath

PhD Student

Wireless Networks and Embedded Systems Laboratory
Department of Electrical and Computer Engineering
Northeastern University
301 Ell Hall, Boston, MA 02115

Email: jagannath.j@huskey.neu.edu



[Biography]     [Research]     [Publication]     [Thesis]     [Links]

Biography

Jithin Jagannath is a PhD student in the Jithin Jagannath is a PhD student in the Department of Electrical and Computer Engineering at Northeastern University. He is currently conducting research on wireless sensor networks under the guidance of Prof. Tommaso Melodia. He is also a Sr. Associate Scientist/Engineer at ANDRO Computational Solutions in Rome, NY. He conducted research on underwater acoustic sensor networks at the Wireless Networks and Embedded Systems Laboratory (WINES) for his Master of Science (M.S) degree in Electrical Engineering from University at Buffalo, The State University of New York. Previously, Jithin received his Bachelor of Technology (B.Tech) degree with Distinction from Kerala University, Kerala, India in 2011.

Research

  • Visible Light Communication

  • Cognitive Networks

  • Networking and Testbed Design using Software Defined Radios

  • Underwater Sensor Network

  • Automatic Modulation Classification

  • Machine Learning

Publications

Articles in Journals

  • J. Jagannath, N. Polosky, A. Jagannath, F. Restuccia, T. Melodia, "Machine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey," Ad Hoc Networks (Elseier), vol. 93, pp 101913, 2019. [pdf] [bibtex]

  • J. Jagannath, S. Furman, A. Jagannath, L. Ling, A. Burger, A. Drozd, "HELPER: Heterogeneous Efficient Low Power Radio for Enabling Ad Hoc Emergency Public Safety Networks," Ad Hoc Networks (Elseier), vol. 89, pp 218-235, 2019. [pdf] [bibtex]

  • J. Jagannath, S. Furman, T. Melodia, A. Drozd, "Design and Experimental Evaluation of a Cross-Layer Deadline-Based Joint Routing and Spectrum Allocation Algorithm" IEEE Transactions on Mobile Computing, vol. 18, no. 8, pp. 1774-1788, 2019. [pdf] [bibtex]

  • N. Cen, J. Jagannath, S. Simone, Z. Guan, T. Melodia, "LANET: Visible-Light Ad Hoc Networks," Ad Hoc Networks (Elseier), vol. 84, pp 107-123, 2019. [pdf] [bibtex]

Articles in Conference Proceedings

  • A. Jagannath, J. Jagannath, A. Drozd, "Towards Higher Spectral Efficiency: Rate-2 Full-Diversity Complex Space-Time Block Codes" in Proc. of IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, December 2019. [pdf] [bibtex]

  • A. Jagannath, J. Jagannath, A. Drozd, "Artificial Intelligence-based Cognitive Cross-layer Decision Engine for Next-Generation Space Mission" in Proc. of IEEE Cognitive Communication for Aerospace Applications (CCAA) Workshop, Cleveland, OH, USA, June 2019. [bibtex]

  • J. Jagannath, T. Melodia, "VL-ROUTE: A Cross-Layer Routing Protocol for Visible Light Ad Hoc Network," in Proc. of IEEE Symp. on a World of Wireless, Mobile, and Multimedia Networks (WoWMoM), Washington D.C., USA, June 2019. [pdf] [bibtex]

  • J. Jagannath, S. Furman, A. Jagannath, A. Drozd, "Energy Efficient Ad Hoc Networking Devices for Off-the-Grid Public Safety Networks" in Proc. of IEEE Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, January 2019. [bibtex]

  • A. Jagannath, J. Jagannath, B. Sheaffer, A. Drozd, "Developing a Low Cost, Portable Jammer Detection and Localization Device for First Responders" in Proc. of IEEE Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, January 2019. [bibtex]

  • J. Jagannath, N. Polosky, D. O’Connor, L. Theagarajan, B. Sheaffer, S. Foulke, P. Varshney, "Artificial Neural Network based Automatic Modulation Classifier for Software Defined Radios" in Proc. of IEEE International Conference on Communications (ICC), Kansas City, MO, USA, May 2018. [pdf] [bibtex]

  • J. Jagannath, T. Melodia, "An Opportunistic Medium Access Control Protocol for Visible Light Ad Hoc Networks" in Proc. of International Conference on Computing, Networking and Communications (ICNC), Maui, Hawaii, USA, March 2018 (AR: 26%). [pdf] [bibtex]

  • N. Polosky, J. Jagannath, D. O'Connor, H. Saarinen, S. Foulke, "Artificial Neural Network with Electroencephalogram Sensors for Brainwave Interpretation: Brain-Observer-Indicator Development Challenges" in Proc. of 13th International Conference & Expo on Emerging Technologies for a Smarter World (CEWIT), Stony Brook, NY, USA, November 2017. [pdf] [bibtex]

  • J. Jagannath, D. O'Connor, N. Polosky, B. Sheaffer, L. N. Theagarajan, S. Foulke, P. K. Varshney, S. P. Reichhart, "Design and Evaluation of Hierarchical Hybrid Automatic Modulation Classifier using Software Defined Radios" in Proc. of IEEE Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, January 2017. [pdf] [bibtex]

  • J. Jagannath, T. Melodia, A. Drozd, "DRS: Distributed Deadline-Based Joint Routing and Spectrum Allocation for Tactical Ad-hoc Networks" in Proc. of IEEE Global Communications Conference (GLOBECOM), Washington D.C., USA, December 2016. [pdf] [bibtex]

  • J. Jagannath, H. Saarinen, T. Woods, J. O’Brien, S. Furman, A. Drozd, T. Melodia, "COmBAT: Cross-layer Based Testbed with Analysis Tool Implemented Using Software Defined Radios," in Proc. of IEEE Conf. on Military Communications (MILCOM), Baltimore, MD, USA, November 2016. [pdf] [bibtex]

  • T. Wimalajeewa, J. Jagannath, P. K. Varshney, A. L. Drozd, W. Su, "Distributed Asynchronous Modulation Classification Based on Hybrid Maximum Likelihood Approach," in Proc. of IEEE Conf. on Military Communications (MILCOM) , Tampa, FL, USA, Oct 2015. [pdf] [bibtex]

  • J. Jagannath, H. M. Saarinen, A. L. Drozd, "Framework for Automatic Signal Classification Techniques (FACT) for Software Defined Radios," in IEEE Symposium on Computational Intelligence in Security and Defense Applications (CISDA) , Verona, NY, USA, May 2015. [pdf] [bibtex]

  • S. Foulke, J. Jagannath, A. L. Drozd, T. Wimalajeewa, P. K. Varshney, W. Su, "Multisensor Modulation Classification (MMC); in Proc. of IEEE Conf. on Military Communications (MILCOM), Baltimore, MD, October 2014. [pdf] [bibtex]

  • A. L. Drozd, T. Arcuri, J. Jagannath, D. A. Pados, T. Melodia, E. Demirors, G. Sklivanitis, "Network Throughput Improvement in Cognitive Networks by Joint Optimization of Spectrum Allocation and Cross-layer Routing," in NATO Symposium on "Cognitive Radio and Future Network " (IST-123), The Hauge, The Netherlands, May 2014. [pdf] [bibtex]

  • J. Jagannath, A. Saji, H. Kulhandjian, Y. Sun, E. Demirors, T. Melodia, "A Hybrid MAC Protocol with Channel-dependent Optimized Scheduling for Clustered Underwater Acoustic Sensor Networks," in Proc. of ACM Conference on Underwater Networks and Systems (WUWNet), Kaohsiung, Taiwan, November 2013. [pdf] [bibtex]

Thesis

  • J. Jagannath, "Energy efficient cluster based hybrid MAC protocol with channel dependent optimized intra-cluster scheduling," M.S. Thesis , Department of Electrical Engineering, State University of New York at Buffalo, May 2013.

Reviewer

  • Elsevier Journal on Computer Networks

  • Elsevier Journal on Digital Signal Processing

  • Elsevier Journal on Artificial Intelligence

  • IEEE Transactions on Mobile Computing

  • International Journal of Distributed Sensor Networks

  • Journal of Communications

  • IEEE Journal of Oceanic Engineering

  • IEEE International Conference on Communications (ICC) 2017

  • IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) 2016

  • IEEE Global Conference on Signal and Information Processing (GlobalSIP) 2014

  • SuMo-CPS 2013

Links