Jithin Jagannath

68 papers A* 1B 4C 1Misc 1Journal 42Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Survey of Graph Neural Network for Internet of Things and NextG Networks. IEEE Commun. Surv. Tutorials Sabarish Krishna Moorthy, Jithin Jagannath
2025	—	`conf`	Enhancing Spectrum Sensing Through Coupled Hidden Markov Models. MILCOM Haodong Yang, Joshua Kortje, Biao Chen, Pramod K. Varshney, Jithin Jagannath, Anu Jagannath
2025	J	`jnl`	Wireless Technologies for 6G and Beyond: Applications, Implementations, and Standardization. IEEE Commun. Stand. Mag. Sanjeev Sharma, Aryan Kaushik, Igal Bilik, Jithin Jagannath, Martin Schubert
2024	J	`jnl`	Bluetooth and WiFi Dataset for Real World RF Fingerprinting of Commercial Devices. IEEE Commun. Mag. Anu Jagannath, Zackary Kane, Jithin Jagannath
2024	—	`conf`	Framework for Federated Learning and Edge Deployment of Real-Time Reinforcement Learning Decision Engine on Software Defined Radio. AAAI Spring Symposia Jithin Jagannath
2024	J	`jnl`	Survey of Graph Neural Network for Internet of Things and NextG Networks. CoRR Sabarish Krishna Moorthy, Jithin Jagannath
2023	J	`jnl`	Bluetooth and WiFi Dataset for Real World RF Fingerprinting of Commercial Devices. CoRR Anu Jagannath, Zackary Kane, Jithin Jagannath
2023	J	`jnl`	Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of Bluetooth. IEEE Trans. Cogn. Commun. Netw. Anu Jagannath, Jithin Jagannath
2023	J	`jnl`	Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation. CoRR Swatantra Kafle, Jithin Jagannath, Zackary Kane, Noor Biswas, Prem Sagar Pattanshetty Vasanth Kumar, Anu Jagannath
2023	J	`jnl`	Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation. IEEE Commun. Lett. Swatantra Kafle, Jithin Jagannath, Zackary Kane, Noor Biswas, Prem Sagar Pattanshetty Vasanth Kumar, Anu Jagannath
2023	J	`jnl`	Marconi-Rosenblatt Framework for Intelligent Networks (MR-iNet Gym): For Rapid Design and Implementation of Distributed Multi-agent Reinforcement Learning Solutions for Wireless Networks. Comput. Networks Collin Farquhar, Swatantra Kafle, Kian Hamedani, Anu Jagannath, Jithin Jagannath
2023	J	`jnl`	Security and privacy vulnerabilities of 5G/6G and WiFi 6: Survey and research directions from a coexistence perspective. Comput. Networks Keyvan Ramezanpour, Jithin Jagannath, Anu Jagannath
2022	J	`jnl`	A Comprehensive Survey on Radio Frequency (RF) Fingerprinting: Traditional Approaches, Deep Learning, and Open Challenges. CoRR Anu Jagannath, Jithin Jagannath, Prem Sagar Pattanshetty Vasanth Kumar
2022	J	`jnl`	A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges. Comput. Networks Anu Jagannath, Jithin Jagannath, Prem Sagar Pattanshetty Vasanth Kumar
2022	A*	`conf`	Constrained Offline Policy Optimization. ICML Nicholas Polosky, Bruno C. da Silva, Madalina Fiterau, Jithin Jagannath
2022	J	`jnl`	Deep neural network goes lighter: A case study of deep compression techniques on automatic RF modulation recognition for Beyond 5G networks. CoRR Anu Jagannath, Jithin Jagannath, Yanzhi Wang, Tommaso Melodia
2022	J	`jnl`	Design of Fieldable Cross-Layer Optimized Network using Embedded Software Defined Radios: Survey and Novel Architecture with Field Trials. CoRR Jithin Jagannath, Anu Jagannath, Justin Henney, Tyler Gwin, Zackary Kane, Noor Biswas, Andrew L. Drozd
2022	J	`jnl`	Design of fieldable cross-layer optimized network using embedded software defined radios: Survey and novel architecture with field trials. Comput. Networks Jithin Jagannath, Anu Jagannath, Justin Henney, Tyler Gwin, Zackary Kane, Noor Biswas, Andrew L. Drozd
2022	—	`conf`	Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control. WiseML@WiSec Jithin Jagannath, Keyvan Ramezanpour, Anu Jagannath
2022	J	`jnl`	Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control. CoRR Jithin Jagannath, Keyvan Ramezanpour, Anu Jagannath
2022	J	`jnl`	Distributed Transmission Control for Wireless Networks using Multi-Agent Reinforcement Learning. CoRR Collin Farquhar, Prem Sagar Pattanshetty Vasanth Kumar, Anu Jagannath, Jithin Jagannath
2022	J	`jnl`	Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of Bluetooth. CoRR Anu Jagannath, Jithin Jagannath
2022	J	`jnl`	Intelligent zero trust architecture for 5G/6G networks: Principles, challenges, and the role of machine learning in the context of O-RAN. Comput. Networks Keyvan Ramezanpour, Jithin Jagannath
2022	—	`conf`	MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio. WiseML@WiSec Jithin Jagannath, Kian Hamedani, Collin Farquhar, Keyvan Ramezanpour, Anu Jagannath
2022	J	`jnl`	MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio. CoRR Jithin Jagannath, Kian Hamedani, Collin Farquhar, Keyvan Ramezanpour, Anu Jagannath
2022	—	`conf`	Machine Learning Subsystem for Autonomous Collision Avoidance on a small UAS with Embedded GPU. CCNC Nicholas Polosky, Tyler Gwin, Sean Furman, Parth Barhanpurkar, Jithin Jagannath
2022	J	`jnl`	Multi-task Learning Approach for Modulation and Wireless Signal Classification for 5G and Beyond: Edge Deployment via Model Compression. CoRR Anu Jagannath, Jithin Jagannath
2022	J	`jnl`	Multi-task learning approach for modulation and wireless signal classification for 5G and beyond: Edge deployment via model compression. Phys. Commun. Anu Jagannath, Jithin Jagannath
2022	B	`conf`	RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth. GLOBECOM Anu Jagannath, Zackary Kane, Jithin Jagannath
2022	J	`jnl`	RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth. CoRR Anu Jagannath, Zackary Kane, Jithin Jagannath
2022	J	`jnl`	Security and Privacy vulnerabilities of 5G/6G and WiFi 6: Survey and Research Directions from a Coexistence Perspective. CoRR Keyvan Ramezanpour, Jithin Jagannath, Anu Jagannath
2021	—	`conf`	Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning. WiseML@WiSec Kian Hamedani, Lingjia Liu, Jithin Jagannath, Yang Cindy Yi
2021	J	`jnl`	Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning. CoRR Kian Hamedani, Lingjia Liu, Jithin Jagannath, Yang Yi
2021	J	`jnl`	Dataset for modulation classification and signal type classification for multi-task and single task learning. Comput. Networks Anu Jagannath, Jithin Jagannath
2021	—	`ch.`	Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment. Deep Learning for Unmanned Systems Jithin Jagannath, Anu Jagannath, Sean Furman, Tyler Gwin
2021	—	`conf`	Fieldable Cross-Layer Optimized Embedded Software Defined Radio is Finally Here! MILCOM Jithin Jagannath, Anu Jagannath, Justin Henney, Noor Biswas, Tyler Gwin, Zackary Kane, Andrew L. Drozd
2021	J	`jnl`	Fieldable Cross-Layer Optimized Embedded Software Defined Radio is Finally Here! CoRR Jithin Jagannath, Anu Jagannath, Justin Henney, Noor Biswas, Tyler Gwin, Zackary Kane, Andrew L. Drozd
2021	J	`jnl`	Intelligent Zero Trust Architecture for 5G/6G Tactical Networks: Principles, Challenges, and the Role of Machine Learning. CoRR Keyvan Ramezanpour, Jithin Jagannath
2021	J	`jnl`	Machine Learning Subsystem for Autonomous Collision Avoidance on a small UAS with Embedded GPU. CoRR Nicholas Polosky, Tyler Gwin, Sean Furman, Parth Barhanpurkar, Jithin Jagannath
2021	—	`conf`	Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification. ICC Anu Jagannath, Jithin Jagannath
2021	J	`jnl`	Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification. CoRR Anu Jagannath, Jithin Jagannath
2021	J	`jnl`	Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning With Deep Unfolding. IEEE Trans. Artif. Intell. Anu Jagannath, Jithin Jagannath, Tommaso Melodia
2020	J	`jnl`	Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment. CoRR Jithin Jagannath, Anu Jagannath, Sean Furman, Tyler Gwin
2020	B	`conf`	High Rate-Reliability Beamformer Design for 2×2 Mimo-OFDM System Under Hostile Jamming. ICCCN Anu Jagannath, Jithin Jagannath, Andrew L. Drozd
2020	J	`jnl`	High rate-reliability beamformer design for 2x2 MIMO-OFDM system under hostile jamming. CoRR Anu Jagannath, Jithin Jagannath, Andrew L. Drozd
2020	—	`conf`	Jam-Guard: Low-Cost, Hand-held Device for First Responders to Detect and Localize Jammers. ICSPCS Anu Jagannath, Jithin Jagannath
2020	J	`jnl`	Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning. CoRR Anu Jagannath, Jithin Jagannath, Tommaso Melodia
2019	J	`jnl`	Design and Experimental Evaluation of a Cross-Layer Deadline-Based Joint Routing and Spectrum Allocation Algorithm. IEEE Trans. Mob. Comput. Jithin Jagannath, Sean Furman, Tommaso Melodia, Andrew L. Drozd
2019	—	`conf`	Developing a Low Cost, Portable Jammer Detection and Localization Device for First Responders. CCNC Anu Jagannath, Jithin Jagannath, Brendan Sheaffer, Andrew L. Drozd
2019	—	`conf`	Energy Efficient Ad Hoc Networking Devices for Off-the-Grid Public Safety Networks. CCNC Jithin Jagannath, Sean Furman, Anu Jagannath, Andrew L. Drozd
2019	J	`jnl`	HELPER: Heterogeneous Efficient Low Power Radio for Enabling Ad Hoc Emergency Public Safety Networks. CoRR Jithin Jagannath, Sean Furman, Anu Jagannath, Luther Ling, Andrew Burger, Andrew L. Drozd
2019	J	`jnl`	HELPER: Heterogeneous Efficient Low Power Radio for enabling ad hoc emergency public safety networks. Ad Hoc Networks Jithin Jagannath, Sean Furman, Anu Jagannath, Luther Ling, Andrew Burger, Andrew L. Drozd
2019	J	`jnl`	LANET: Visible-light ad hoc networks. Ad Hoc Networks Nan Cen, Jithin Jagannath, Simone Moretti, Zhangyu Guan, Tommaso Melodia
2019	J	`jnl`	Machine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey. CoRR Jithin Jagannath, Nicholas Polosky, Anu Jagannath, Francesco Restuccia, Tommaso Melodia
2019	J	`jnl`	Machine learning for wireless communications in the Internet of Things: A comprehensive survey. Ad Hoc Networks Jithin Jagannath, Nicholas Polosky, Anu Jagannath, Francesco Restuccia, Tommaso Melodia
2019	B	`conf`	Towards Higher Spectral Efficiency: Rate-2 Full-Diversity Complex Space-Time Block Codes. GLOBECOM Anu Jagannath, Jithin Jagannath, Andrew L. Drozd
2019	J	`jnl`	Towards Higher Spectral Efficiency: Rate-2 Full-Diversity Complex Space-Time Block Codes. CoRR Anu Jagannath, Jithin Jagannath, Andrew L. Drozd
2019	C	`conf`	VL-ROUTE: A Cross-Layer Routing Protocol for Visible Light Ad Hoc Network. WOWMOM Jithin Jagannath, Tommaso Melodia
2019	J	`jnl`	VL-ROUTE: A Cross-Layer Routing Protocol for Visible Light Ad Hoc Network. CoRR Jithin Jagannath, Tommaso Melodia
2018	Misc	`conf`	An Opportunistic Medium Access Control Protocol for Visible Light Ad Hoc Networks. ICNC Jithin Jagannath, Tommaso Melodia
2018	—	`conf`	Artificial Neural Network Based Automatic Modulation Classification over a Software Defined Radio Testbed. ICC Jithin Jagannath, Nicholas Polosky, Daniel O'Connor, Lakshmi Narasimhan Theagarajan, Brendan Sheaffer, Svetlana Foulke, Pramod K. Varshney
2017	—	`conf`	Design and evaluation of hierarchical hybrid automatic modulation classifier using software defined radios. CCWC Jithin Jagannath, Daniel O'Connor, Nicholas Polosky, Brendan Sheaffer, Svetlana Foulke, Lakshmi Narasimhan Theagarajan, Pramod K. Varshney
2016	—	`conf`	COmBAT: Cross-layer Based testbed with Analysis Tool implemented using software defined radios. MILCOM Jithin Jagannath, Hanne M. Saarinen, Timothy Woods, Joshua O'Brien, Sean Furman, Andrew L. Drozd, Tommaso Melodia
2016	B	`conf`	DRS: Distributed Deadline-Based Joint Routing and Spectrum Allocation for Tactical Ad-Hoc Networks. GLOBECOM Jithin Jagannath, Tommaso Melodia, Andrew L. Drozd
2015	—	`conf`	Distributed asynchronous modulation classification based on hybrid maximum likelihood approach. MILCOM Thakshila Wimalajeewa, Jithin Jagannath, Pramod K. Varshney, Andrew L. Drozd, Wei Su
2015	—	`conf`	Framework for automatic signal classification techniques (FACT) for software defined radios. CISDA Jithin Jagannath, Hanne M. Saarinen, Andrew L. Drozd
2014	—	`conf`	Multisensor Modulation Classification (MMC): Implementation Considerations - USRP Case Study. MILCOM Svetlana Foulke, Jithin Jagannath, Andrew L. Drozd, Thakshila Wimalajeewa, Pramod K. Varshney, Wei Su
2013	—	`conf`	A hybrid MAC protocol with channel-dependent optimized scheduling for clustered underwater acoustic sensor networks. WUWNet Jithin Jagannath, Anu Saji, Hovannes Kulhandjian, Yifan Sun, Emrecan Demirors, Tommaso Melodia