Anu Jagannath

Ph.D. in Electrical and Computer Engineering, 2024

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

A. Jagannath, J. Jagannath, Y. Wang, and T. Melodia. "Deep neural network goes lighter: A case study of deep compression techniques on automatic RF modulation recognition for Beyond 5G networks", Proc. of SPIE Defense and Commercial Sensing (2022),

A. Jagannath, J. Jagannath, and T. Melodia. "Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning with Deep Unfolding", IEEE Transactions on Artificial Intelligence (2021),

{. Jagannath, J. Jagannath, and A. Drozd}. "High Rate-Reliability Beamformer Design for MIMO-OFDM System under Hostile Jamming", Proc. of 29th International Conference on Computer, Communication and Networks (ICCCN) (2020),

A. Jagannath, J. Jagannath, and A. Drozd. "Breaking the Bound: Rate-2, Full Diversity, Orthogonal MIMO-STBC Transceiver Design", arXiv preprint arXiv:2005.00382 (2020), DOI:10.48550/arXiv.2005.00382
{. 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),

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),

{. 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),

N. Cen, J. Jagannath, S. Moretti, Z. Guan, and T. Melodia. "LANET: Visible-Light Ad Hoc Networks", Ad Hoc Networks (2019),

{. Jagannath, J. Jagannath, B. Sheaffer, A. Drozd}, and t. =. "Developing a Low Cost, Portable Jammer Detection and Localization Device for First Responders", Proc. of IEEE Consumer Communications & Networking Conference (CCNC) (2019),

{. Jagannath, S. Furman, A. Jagannath, and t. A. Drozd}. "Energy Efficient Ad Hoc Networking Devices for Off-the-Grid Public Safety Networks", Proc. of IEEE Consumer Communications & Networking Conference (CCNC) (2019),

J. Jagannath, N. Polosky, A. Jagannath, F. Restuccia, and T. Melodia. "Neural Networks for Signal Intelligence: Theory and Practice", Machine Learning for Future Wireless Communications (2019),

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),

{. 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),

J. Jagannath, N. Polosky, D. O'Connor, L. Theagarajan, B. Sheaffer, S. Foulke, and P. Varshney. "Artificial Neural Network based Automatic Modulation Classifier for Software Defined Radios", Proc. of IEEE International Conference on Communications (ICC) (2018),

A. Jagannath and A. Amanna. "Realizing Data driven and Hampel preprocessor based Adaptive filtering on a Software Defined Radio testbed: A USRP case Study", Proc. of International Conference on Computing, Networking and Communications (ICNC) (2018),

J. Jagannath, S. Furman, T. Melodia, and A. Drozd. "Design and Experimental Evaluation of a Cross-Layer Deadline-Based Joint Routing and Spectrum Allocation Algorithm", IEEE Transactions on Mobile Computing (2018),

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),

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),

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),

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),

J. Jagannath, H. Saarinen, T. Woods, J. OBrien, S. Furman, A. Drozd, and T. Melodia. "COmBAT: Cross-layer Based Testbed with Analysis Tool Implemented Using Software Defined Radios", Proc. of IEEE Conf. on Military Communications (MILCOM) (2016),

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),

J. Jagannath, H. Saarinen, and A. Drozd. "Framework for Automatic Signal Classification Techniques (FACT) for Software Defined Radios", Proc. of IEEE Symposium on Computational Intelligence in Security and Defense Applications (CISDA) (2015),

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),

A. Drozd, T. Arcuri, J. Jagannath, D. Pados, T. Melodia, E. Demirors, and G. Sklivanitis. "Network Throughput Improvement in Cognitive Networks by Joint Optimization of Spectrum Allocation and Cross-layer Routing", Proc. of NATO Symp. on Cognitive Radio and Future Network (IST-123) (2014),

J. Jagannath. "Energy efficient cluster based hybrid MAC protocol with channel dependent optimized intra-cluster scheduling", (2013),