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)
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
“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)Conference
2021
Journals & Magazines
“Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning with Deep Unfolding.”
IEEE Transactions on Artificial Intelligence
(2021)Journal
2020
Journals & Magazines
“Breaking the Bound: Rate-2, Full Diversity, Orthogonal MIMO-STBC Transceiver Design.”
arXiv preprint arXiv:2005.00382
(2020)Journal
Conference Papers
“High Rate-Reliability Beamformer Design for MIMO-OFDM System under Hostile Jamming.”
Proc. of 29th International Conference on Computer, Communication and Networks (ICCCN)
(2020)Conference
2019
Journals & Magazines
“HELPER: Heterogeneous Efficient Low Power Radio for Enabling Ad Hoc Emergency Public Safety Networks.”
Ad Hoc Networks (Elsevier)
(2019)Journal
“Machine Learning for Wireless Communicationsin the Internet of Things: A Comprehensive Survey.”
Ad Hoc Networks (Elsevier)
(2019)Journal
Conference Papers
“Towards Higher Spectral Efficiency: Rate-2 Full-Diversity Complex Space-Time Block Codes.”
Proc. of IEEE Global Communications Conference (GLOBECOM)
(2019)Conference
“Artificial Intelligence-based Cognitive Cross-layer Decision Engine for Next-Generation Space Mission.”
Proc. of IEEE Cognitive Communication for Aerospace Applications (CCAA) Workshop
(2019)Conference
“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)Conference
“Energy Efficient Ad Hoc Networking Devices for Off-the-Grid Public Safety Networks.”
Proc. of IEEE Consumer Communications & Networking Conference (CCNC)
(2019)Conference
“Developing a Low Cost, Portable Jammer Detection and Localization Device for First Responders.”
Proc. of IEEE Consumer Communications & Networking Conference (CCNC)
(2019)Conference
Book Chapters
2018
Journals & Magazines
“Design and Experimental Evaluation of a Cross-Layer Deadline-Based Joint Routing and Spectrum Allocation Algorithm.”
IEEE Transactions on Mobile Computing
(2018)Journal
Conference Papers
“Artificial Neural Network Based Automatic Modulation Classification over a Software Defined Radio Testbed.”
2018 IEEE International Conference on Communications (ICC)
(2018)Conference
“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)Conference
2017
Conference Papers
“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)Conference
“An Opportunistic Medium Access Control Protocol for Visible Light Ad Hoc Networks.”
Proc. of International Conference on Computing, Networking and Communications (ICNC)
(2017)Conference
“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)Conference
2016
Conference Papers
“DRS: Distributed Deadline-Based Joint Routing and Spectrum Allocation for Tactical Ad-hoc Networks.”
Proc. of IEEE Global Communications Conference (GLOBECOM)
(2016)Conference
“COmBAT: Cross-layer Based Testbed with Analysis Tool Implemented Using Software Defined Radios.”
Proc. of IEEE Conf. on Military Communications (MILCOM)
(2016)Conference
2015
Conference Papers
“Distributed Asynchronous Modulation Classification Based on Hybrid Maximum Likelihood Approach.”
Proc. of IEEE Conf. on Military Communications (MILCOM)
(2015)Conference
“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)Conference
2014
Conference Papers
“Multisensor Modulation Classification (MMC) Implementation considerations USRP case study.”
Proc. of IEEE Conf. on Military Communications (MILCOM)
(2014)Conference
“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)Conference
2013
Theses
“Energy efficient cluster based hybrid MAC protocol with channel dependent optimized intra-cluster scheduling.”
(2013)Thesis