A hybrid MAC protocol with channel-dependent optimized scheduling for clustered underwater acoustic sensor networks. - Jithin Jagannath; Anu Saji; Hovannes Kulhandjian; Yifan Sun 002; Emrecan Demirors; Tommaso Melodia (WUWNet, 2013)

Multisensor Modulation Classification (MMC): Implementation Considerations - USRP Case Study. - Svetlana Foulke; Jithin Jagannath; Andrew L. Drozd; Thakshila Wimalajeewa; Pramod K. Varshney; Wei Su 001 (MILCOM, 2014)

Framework for automatic signal classification techniques (FACT) for software defined radios. - Jithin Jagannath; Hanne M. Saarinen; Andrew L. Drozd (CISDA, 2015)

Distributed asynchronous modulation classification based on hybrid maximum likelihood approach. - Thakshila Wimalajeewa; Jithin Jagannath; Pramod K. Varshney; Andrew L. Drozd; Wei Su 001 (MILCOM, 2015)

DRS: Distributed Deadline-Based Joint Routing and Spectrum Allocation for Tactical Ad-Hoc Networks. - Jithin Jagannath; Tommaso Melodia; Andrew L. Drozd (GLOBECOM, 2016)

COmBAT: Cross-layer Based testbed with Analysis Tool implemented using software defined radios. - Jithin Jagannath; Hanne M. Saarinen; Timothy Woods; Joshua O'Brien; Sean Furman; Andrew L. Drozd; Tommaso Melodia (MILCOM, 2016)

Design and evaluation of hierarchical hybrid automatic modulation classifier using software defined radios. - Jithin Jagannath; Daniel O'Connor; Nicholas Polosky; Brendan Sheaffer; Svetlana Foulke; Lakshmi Narasimhan Theagarajan; Pramod K. Varshney (CCWC, 2017)

Artificial Neural Network Based Automatic Modulation Classification over a Software Defined Radio Testbed. - Jithin Jagannath; Nicholas Polosky; Daniel O'Connor; Lakshmi Narasimhan Theagarajan; Brendan Sheaffer; Svetlana Foulke; Pramod K. Varshney (ICC, 2018)

An Opportunistic Medium Access Control Protocol for Visible Light Ad Hoc Networks. - Jithin Jagannath; Tommaso Melodia (ICNC, 2018)

Energy Efficient Ad Hoc Networking Devices for Off-the-Grid Public Safety Networks. - Jithin Jagannath; Sean Furman; Anu Jagannath; Andrew L. Drozd (CCNC, 2019)

Developing a Low Cost, Portable Jammer Detection and Localization Device for First Responders. - Anu Jagannath; Jithin Jagannath; Brendan Sheaffer; Andrew L. Drozd (CCNC, 2019)

Towards Higher Spectral Efficiency: Rate-2 Full-Diversity Complex Space-Time Block Codes. - Anu Jagannath; Jithin Jagannath; Andrew L. Drozd (GLOBECOM, 2019)

VL-ROUTE: A Cross-Layer Routing Protocol for Visible Light Ad Hoc Network. - Jithin Jagannath; Tommaso Melodia (WOWMOM, 2019)

LANET: Visible-light ad hoc networks. - Nan Cen; Jithin Jagannath; Simone Moretti; Zhangyu Guan; Tommaso Melodia (Ad Hoc Networks, 2019)

HELPER: Heterogeneous Efficient Low Power Radio for enabling ad hoc emergency public safety networks. - Jithin Jagannath; Sean Furman; Anu Jagannath; Luther Ling; Andrew Burger; Andrew L. Drozd (Ad Hoc Networks, 2019)

Machine learning for wireless communications in the Internet of Things: A comprehensive survey. - Jithin Jagannath; Nicholas Polosky; Anu Jagannath; Francesco Restuccia 001; Tommaso Melodia (Ad Hoc Networks, 2019)

Design and Experimental Evaluation of a Cross-Layer Deadline-Based Joint Routing and Spectrum Allocation Algorithm. - Jithin Jagannath; Sean Furman; Tommaso Melodia; Andrew L. Drozd (IEEE Trans. Mob. Comput., 2019)

High Rate-Reliability Beamformer Design for 2×2 Mimo-OFDM System Under Hostile Jamming. - Anu Jagannath; Jithin Jagannath; Andrew L. Drozd (ICCCN, 2020)

Jam-Guard: Low-Cost, Hand-held Device for First Responders to Detect and Localize Jammers. - Anu Jagannath; Jithin Jagannath (ICSPCS, 2020)

Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning. - Anu Jagannath; Jithin Jagannath; Tommaso Melodia (CoRR, 2020)

High rate-reliability beamformer design for 2x2 MIMO-OFDM system under hostile jamming. - Anu Jagannath; Jithin Jagannath; Andrew L. Drozd (CoRR, 2020)

Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment. - Jithin Jagannath; Anu Jagannath; Sean Furman; Tyler Gwin (CoRR, 2020)

Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification. - Anu Jagannath; Jithin Jagannath (ICC, 2021)

Fieldable Cross-Layer Optimized Embedded Software Defined Radio is Finally Here! - Jithin Jagannath; Anu Jagannath; Justin Henney; Noor Biswas; Tyler Gwin; Zackary Kane; Andrew L. Drozd (MILCOM, 2021)

Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning. - Kian Hamedani; Lingjia Liu 001; Jithin Jagannath; Yang Cindy Yi (WiseML@WiSec, 2021)

Dataset for modulation classification and signal type classification for multi-task and single task learning. - Anu Jagannath; Jithin Jagannath (Comput. Networks, 2021)

Intelligent Zero Trust Architecture for 5G/6G Tactical Networks: Principles, Challenges, and the Role of Machine Learning. - Keyvan Ramezanpour; Jithin Jagannath (CoRR, 2021)

Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning With Deep Unfolding. - Anu Jagannath; Jithin Jagannath; Tommaso Melodia (IEEE Trans. Artif. Intell., 2021)

Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment. - Jithin Jagannath; Anu Jagannath; Sean Furman; Tyler Gwin (Deep Learning for Unmanned Systems, 2021)

Machine Learning Subsystem for Autonomous Collision Avoidance on a small UAS with Embedded GPU. - Nicholas Polosky; Tyler Gwin; Sean Furman; Parth Barhanpurkar; Jithin Jagannath (CCNC, 2022)

RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth. - Anu Jagannath; Zackary Kane; Jithin Jagannath (GLOBECOM, 2022)

Constrained Offline Policy Optimization. - Nicholas Polosky; Bruno C. da Silva 001; Madalina Fiterau; Jithin Jagannath (ICML, 2022)

MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio. - Jithin Jagannath; Kian Hamedani; Collin Farquhar; Keyvan Ramezanpour; Anu Jagannath (WiseML@WiSec, 2022)

Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control. - Jithin Jagannath; Keyvan Ramezanpour; Anu Jagannath (WiseML@WiSec, 2022)

Design of fieldable cross-layer optimized network using embedded software defined radios: Survey and novel architecture with field trials. - Jithin Jagannath; Anu Jagannath; Justin Henney; Tyler Gwin; Zackary Kane; Noor Biswas; Andrew L. Drozd (Comput. Networks, 2022)

A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges. - Anu Jagannath; Jithin Jagannath; Prem Sagar Pattanshetty Vasanth Kumar (Comput. Networks, 2022)

Intelligent zero trust architecture for 5G/6G networks: Principles, challenges, and the role of machine learning in the context of O-RAN. - Keyvan Ramezanpour; Jithin Jagannath (Comput. Networks, 2022)

Deep neural network goes lighter: A case study of deep compression techniques on automatic RF modulation recognition for Beyond 5G networks. - Anu Jagannath; Jithin Jagannath; Yanzhi Wang; Tommaso Melodia (CoRR, 2022)

Distributed Transmission Control for Wireless Networks using Multi-Agent Reinforcement Learning. - Collin Farquhar; Prem Sagar Pattanshetty Vasanth Kumar; Anu Jagannath; Jithin Jagannath (CoRR, 2022)

Multi-task learning approach for modulation and wireless signal classification for 5G and beyond: Edge deployment via model compression. - Anu Jagannath; Jithin Jagannath (Phys. Commun., 2022)

RF-Fingerprint-BT-IoT: Real-world Frequency Hopping Bluetooth dataset from IoT devices for RF fingerprinting. - Anu Jagannath; Jithin Jagannath (IEEE DataPort, 2022)

Real-world Commercial WiFi and Bluetooth Dataset for RF Fingerprinting. - Anu Jagannath; Zackary Kane; Jithin Jagannath (IEEE DataPort, 2022)

Marconi-Rosenblatt Framework for Intelligent Networks (MR-iNet Gym): For Rapid Design and Implementation of Distributed Multi-agent Reinforcement Learning Solutions for Wireless Networks. - Collin Farquhar; Swatantra Kafle; Kian Hamedani; Anu Jagannath; Jithin Jagannath (Comput. Networks, 2023)

Security and privacy vulnerabilities of 5G/6G and WiFi 6: Survey and research directions from a coexistence perspective. - Keyvan Ramezanpour; Jithin Jagannath; Anu Jagannath (Comput. Networks, 2023)

Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation. - Swatantra Kafle; Jithin Jagannath; Zackary Kane; Noor Biswas; Prem Sagar Pattanshetty Vasanth Kumar; Anu Jagannath (IEEE Commun. Lett., 2023)

Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of Bluetooth. - Anu Jagannath; Jithin Jagannath (IEEE Trans. Cogn. Commun. Netw., 2023)

Framework for Federated Learning and Edge Deployment of Real-Time Reinforcement Learning Decision Engine on Software Defined Radio. - Jithin Jagannath (AAAI Spring Symposia, 2024)

Survey of Graph Neural Network for Internet of Things and NextG Networks. - Sabarish Krishna Moorthy; Jithin Jagannath (CoRR, 2024)

Bluetooth and WiFi Dataset for Real World RF Fingerprinting of Commercial Devices. - Anu Jagannath; Zackary Kane; Jithin Jagannath (IEEE Commun. Mag., 2024)