Education
- Ph.D. in Electrical and Computer Engineering - Northeastern University (2024)
- M.S. in Electrical Engineering - University at Buffalo (2013)
Research Interests
Anu Jagannath earned her Ph.D. in Electrical and Computer Engineering from Northeastern University in 2024, working under the guidance of Dr. Tommaso Melodia. Her research interests encompassed MIMO communications, deep machine learning, adaptive signal processing, software defined radios, LPI/LPD communications, intelligent spectrum sensing, adaptive physical/cross layer techniques, and wireless sensor networks. She received her M.S. in Electrical Engineering from University at Buffalo in 2013, where she performed research on Medium Access Control protocols for underwater acoustic sensor networks on SM-75 modems. She is currently the Founding Associate Director of Marconi-Rosenblatt AI/ML Innovation Lab at ANDRO Computational Solutions, LLC, where she serves as Technical Lead and Lead developer in multiple RIF, SBIR/STTR efforts.
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
