Education
- Ph.D., 2019
Research Interests
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.
Publications
2022
Conference Papers
2021
Journals and Magazines
2020
Journals and Magazines
Conference Papers
2019
Journals and Magazines
{. Jagannath, S. Furman, A. Jagannath, L. Ling, A. Burger, and A. Drozd}.
"HELPER: Heterogeneous Efficient Low Power Radio for Enabling Ad Hoc Emergency Public Safety Networks",
Ad Hoc Networks (Elsevier)
(2019),
DOI:10.1016/j.adhoc.2019.03.010
J. Jagannath, N. Polosky, A. Jagannath, F. Restuccia, and T. Melodia.
"Machine Learning for Wireless Communicationsin the Internet of Things: A Comprehensive Survey",
Ad Hoc Networks (Elsevier)
(2019),
DOI:10.1016/j.adhoc.2019.101913
Conference Papers
{. Jagannath, J. Jagannath, and A. Drozd}.
"Towards Higher Spectral Efficiency: Rate-2 Full-Diversity Complex Space-Time Block Codes",
Proc. of IEEE Global Communications Conference (GLOBECOM)
(2019),
DOI:10.1109/globecom38437.2019.9013563
{. Jagannath, J. Jagannath, and A. Drozd}.
"Artificial Intelligence-based Cognitive Cross-layer Decision Engine for Next-Generation Space Mission",
Proc. of IEEE Cognitive Communication for Aerospace Applications (CCAA) Workshop
(2019),
DOI:10.1109/ccaaw.2019.8904895
J. Jagannath and T. Melodia.
"VL-ROUTE: A Cross-Layer Routing Protocol for Visible Light Ad Hoc Network",
Proc. of IEEE Symp. on a World of Wireless, Mobile, and Multimedia Networks (WoWMoM)
(2019),
DOI:10.1109/wowmom.2019.8793030
J. Jagannath, S. Furman, A. Jagannath, and A. Drozd.
"Energy Efficient Ad Hoc Networking Devices for Off-the-Grid Public Safety Networks",
Proc. of IEEE Consumer Communications & Networking Conference (CCNC)
(2019),
DOI:10.1109/CCNC.2019.8651836
Book Chapters
2018
Journals and Magazines
Conference Papers
J. Jagannath, N. Polosky, D. O'Connor, L. Theagarajan, B. Sheaffer, S. Foulke, and P. Varshney.
"Artificial Neural Network Based Automatic Modulation Classification over a Software Defined Radio Testbed",
2018 IEEE International Conference on Communications (ICC)
(2018),
DOI:10.1109/ICC.2018.8422346
2017
Conference Papers
N. Polosky, J. Jagannath, D. O'Connor, H. Saarinen, and S. Foulke.
"Artificial Neural Network with Electroencephalogram Sensors for Brainwave Interpretation: Brain-Observer-Indicator Development Challenges",
Proc. of 13th International Conference & Expo on Emerging Technologies for a Smarter World (CEWIT)
(2017),
DOI:10.1109/cewit.2017.8263139
J. Jagannath and T. Melodia.
"An Opportunistic Medium Access Control Protocol for Visible Light Ad Hoc Networks",
Proc. of International Conference on Computing, Networking and Communications (ICNC)
(2017),
DOI:10.1109/iccnc.2018.8390277
J. Jagannath, D. O'Connor, N. Polosky, B. Sheaffer, L. Theagarajan, S. Foulke, P. Varshney, and S. Reichhart.
"Design and Evaluation of Hierarchical Hybrid Automatic Modulation Classifier using Software Defined Radios",
Proc. of IEEE Annual Computing and Communication Workshop and Conference (CCWC)
(2017),
DOI:10.1109/ccwc.2017.7868362
2016
Conference Papers
J. Jagannath, T. Melodia, and A. Drozd.
"DRS: Distributed Deadline-Based Joint Routing and Spectrum Allocation for Tactical Ad-hoc Networks",
Proc. of IEEE Global Communications Conference (GLOBECOM)
(2016),
DOI:10.1109/glocom.2016.7841756
2015
Conference Papers
T. Wimalajeewa, J. Jagannath, P. Varshney, A. Drozd, and W. Su.
"Distributed Asynchronous Modulation Classification Based on Hybrid Maximum Likelihood Approach",
Proc. of IEEE Conf. on Military Communications (MILCOM)
(2015),
DOI:10.1109/milcom.2015.7357660
2014
Conference Papers
S. Foulke, J. Jagannath, A. Drozd, T. Wimalajeewa, P. Varshney, and W. Su.
"Multisensor Modulation Classification (MMC) Implementation considerations USRP case study",
Proc. of IEEE Conf. on Military Communications (MILCOM)
(2014),
DOI:10.1109/milcom.2014.273
