Jithin Jagannath

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 61

Top Topics

Public Safety Networks

Wireless Communication

Ad Hoc Networks

Top Venues

Comput. Networks

Publications

Jithin Jagannath
Framework for Federated Learning and Edge Deployment of Real-Time Reinforcement Learning Decision Engine on Software Defined Radio. AAAI Spring Symposia (2024)
Anu Jagannath, Zackary Kane, Jithin Jagannath
Bluetooth and WiFi Dataset for Real World RF Fingerprinting of Commercial Devices. IEEE Commun. Mag. 62 (5) (2024)
Sabarish Krishna Moorthy, Jithin Jagannath
Survey of Graph Neural Network for Internet of Things and NextG Networks. CoRR (2024)
Collin Farquhar, Swatantra Kafle, Kian Hamedani, Anu Jagannath, Jithin Jagannath
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 222 (2023)
Keyvan Ramezanpour, Jithin Jagannath, Anu Jagannath
Security and privacy vulnerabilities of 5G/6G and WiFi 6: Survey and research directions from a coexistence perspective. Comput. Networks 221 (2023)
Anu Jagannath, Jithin Jagannath
Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of Bluetooth. IEEE Trans. Cogn. Commun. Netw. 9 (4) (2023)
Swatantra Kafle, Jithin Jagannath, Zackary Kane, Noor Biswas, Prem Sagar Pattanshetty Vasanth Kumar, Anu Jagannath
Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation. CoRR (2023)
Swatantra Kafle, Jithin Jagannath, Zackary Kane, Noor Biswas, Prem Sagar Pattanshetty Vasanth Kumar, Anu Jagannath
Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation. IEEE Commun. Lett. 27 (7) (2023)
Anu Jagannath, Zackary Kane, Jithin Jagannath
Bluetooth and WiFi Dataset for Real World RF Fingerprinting of Commercial Devices. CoRR (2023)
Jithin Jagannath, Anu Jagannath, Justin Henney, Tyler Gwin, Zackary Kane, Noor Biswas, Andrew L. Drozd
Design of Fieldable Cross-Layer Optimized Network using Embedded Software Defined Radios: Survey and Novel Architecture with Field Trials. CoRR (2022)
Keyvan Ramezanpour, Jithin Jagannath, Anu Jagannath
Security and Privacy vulnerabilities of 5G/6G and WiFi 6: Survey and Research Directions from a Coexistence Perspective. CoRR (2022)
Anu Jagannath, Jithin Jagannath
Multi-task learning approach for modulation and wireless signal classification for 5G and beyond: Edge deployment via model compression. Phys. Commun. 54 (2022)
Anu Jagannath, Jithin Jagannath
Multi-task Learning Approach for Modulation and Wireless Signal Classification for 5G and Beyond: Edge Deployment via Model Compression. CoRR (2022)
Jithin Jagannath, Kian Hamedani, Collin Farquhar, Keyvan Ramezanpour, Anu Jagannath
MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio. WiseML@WiSec (2022)
Anu Jagannath, Zackary Kane, Jithin Jagannath
RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth. CoRR (2022)
Collin Farquhar, Prem Sagar Pattanshetty Vasanth Kumar, Anu Jagannath, Jithin Jagannath
Distributed Transmission Control for Wireless Networks using Multi-Agent Reinforcement Learning. CoRR (2022)
Anu Jagannath, Jithin Jagannath
Embedding-Assisted Attentional Deep Learning for Real-World RF Fingerprinting of Bluetooth. CoRR (2022)
Keyvan Ramezanpour, Jithin Jagannath
Intelligent zero trust architecture for 5G/6G networks: Principles, challenges, and the role of machine learning in the context of O-RAN. Comput. Networks 217 (2022)
Jithin Jagannath, Anu Jagannath, Justin Henney, Tyler Gwin, Zackary Kane, Noor Biswas, Andrew L. Drozd
Design of fieldable cross-layer optimized network using embedded software defined radios: Survey and novel architecture with field trials. Comput. Networks 209 (2022)
Anu Jagannath, Zackary Kane, Jithin Jagannath
RF Fingerprinting Needs Attention: Multi-task Approach for Real-World WiFi and Bluetooth. GLOBECOM (2022)
Jithin Jagannath, Keyvan Ramezanpour, Anu Jagannath
Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control. CoRR (2022)
Anu Jagannath, Jithin Jagannath, Prem Sagar Pattanshetty Vasanth Kumar
A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges. Comput. Networks 219 (2022)
Jithin Jagannath, Keyvan Ramezanpour, Anu Jagannath
Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control. WiseML@WiSec (2022)
Nicholas Polosky, Bruno C. Da Silva, Madalina Fiterau, Jithin Jagannath
Constrained Offline Policy Optimization. ICML (2022)
Nicholas Polosky, Tyler Gwin, Sean Furman, Parth Barhanpurkar, Jithin Jagannath
Machine Learning Subsystem for Autonomous Collision Avoidance on a small UAS with Embedded GPU. CCNC (2022)
Jithin Jagannath, Kian Hamedani, Collin Farquhar, Keyvan Ramezanpour, Anu Jagannath
MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio. CoRR (2022)
Anu Jagannath, Jithin Jagannath, Prem Sagar Pattanshetty Vasanth Kumar
A Comprehensive Survey on Radio Frequency (RF) Fingerprinting: Traditional Approaches, Deep Learning, and Open Challenges. CoRR (2022)
Anu Jagannath, Jithin Jagannath, Yanzhi Wang, Tommaso Melodia
Deep neural network goes lighter: A case study of deep compression techniques on automatic RF modulation recognition for Beyond 5G networks. CoRR (2022)
Jithin Jagannath, Anu Jagannath, Justin Henney, Noor Biswas, Tyler Gwin, Zackary Kane, Andrew L. Drozd
Fieldable Cross-Layer Optimized Embedded Software Defined Radio is Finally Here! MILCOM (2021)
Keyvan Ramezanpour, Jithin Jagannath
Intelligent Zero Trust Architecture for 5G/6G Tactical Networks: Principles, Challenges, and the Role of Machine Learning. CoRR (2021)
Anu Jagannath, Jithin Jagannath
Dataset for modulation classification and signal type classification for multi-task and single task learning. Comput. Networks 199 (2021)
Anu Jagannath, Jithin Jagannath
Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification. CoRR (2021)
Kian Hamedani, Lingjia Liu, Jithin Jagannath, Yang Yi
Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning. CoRR (2021)
Anu Jagannath, Jithin Jagannath, Tommaso Melodia
Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning With Deep Unfolding. IEEE Trans. Artif. Intell. 2 (6) (2021)
Jithin Jagannath, Anu Jagannath, Justin Henney, Noor Biswas, Tyler Gwin, Zackary Kane, Andrew L. Drozd
Fieldable Cross-Layer Optimized Embedded Software Defined Radio is Finally Here! CoRR (2021)
Kian Hamedani, Lingjia Liu, Jithin Jagannath, Yang Cindy Yi
Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning. WiseML@WiSec (2021)
Anu Jagannath, Jithin Jagannath
Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification. ICC (2021)
Nicholas Polosky, Tyler Gwin, Sean Furman, Parth Barhanpurkar, Jithin Jagannath
Machine Learning Subsystem for Autonomous Collision Avoidance on a small UAS with Embedded GPU. CoRR (2021)
Anu Jagannath, Jithin Jagannath, Andrew L. Drozd
High rate-reliability beamformer design for 2x2 MIMO-OFDM system under hostile jamming. CoRR (2020)
Anu Jagannath, Jithin Jagannath, Andrew L. Drozd
Breaking the Bound: Rate-2, Full Diversity, Orthogonal MIMO-STBC Transceiver Design. CoRR (2020)
Anu Jagannath, Jithin Jagannath, Tommaso Melodia
Redefining Wireless Communication for 6G: Signal Processing Meets Deep Learning. CoRR (2020)
Anu Jagannath, Jithin Jagannath, Andrew L. Drozd
High Rate-Reliability Beamformer Design for 2×2 Mimo-OFDM System Under Hostile Jamming. ICCCN (2020)
Jithin Jagannath, Anu Jagannath, Sean Furman, Tyler Gwin
Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment. CoRR (2020)
Anu Jagannath, Jithin Jagannath
Jam-Guard: Low-Cost, Hand-held Device for First Responders to Detect and Localize Jammers. ICSPCS (2020)
Jithin Jagannath, Sean Furman, Anu Jagannath, Luther Ling, Andrew Burger, Andrew L. Drozd
HELPER: Heterogeneous Efficient Low Power Radio for Enabling Ad Hoc Emergency Public Safety Networks. CoRR (2019)
Jithin Jagannath, Nicholas Polosky, Anu Jagannath, Francesco Restuccia, Tommaso Melodia
Machine learning for wireless communications in the Internet of Things: A comprehensive survey. Ad Hoc Networks 93 (2019)
Jithin Jagannath, Sean Furman, Tommaso Melodia, Andrew L. Drozd
Design and Experimental Evaluation of a Cross-Layer Deadline-Based Joint Routing and Spectrum Allocation Algorithm. IEEE Trans. Mob. Comput. 18 (8) (2019)
Anu Jagannath, Jithin Jagannath, Andrew L. Drozd
Towards Higher Spectral Efficiency: Rate-2 Full-Diversity Complex Space-Time Block Codes. GLOBECOM (2019)
Jithin Jagannath, Sean Furman, Anu Jagannath, Luther Ling, Andrew Burger, Andrew L. Drozd
HELPER: Heterogeneous Efficient Low Power Radio for enabling ad hoc emergency public safety networks. Ad Hoc Networks 89 (2019)
Jithin Jagannath, Nicholas Polosky, Anu Jagannath, Francesco Restuccia, Tommaso Melodia
Machine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey. CoRR (2019)
Anu Jagannath, Jithin Jagannath, Brendan Sheaffer, Andrew L. Drozd
Developing a Low Cost, Portable Jammer Detection and Localization Device for First Responders. CCNC (2019)
Nan Cen, Jithin Jagannath, Simone Moretti, Zhangyu Guan, Tommaso Melodia
LANET: Visible-light ad hoc networks. Ad Hoc Networks 84 (2019)
Anu Jagannath, Jithin Jagannath, Andrew L. Drozd
Towards Higher Spectral Efficiency: Rate-2 Full-Diversity Complex Space-Time Block Codes. CoRR (2019)
Jithin Jagannath, Sean Furman, Anu Jagannath, Andrew L. Drozd
Energy Efficient Ad Hoc Networking Devices for Off-the-Grid Public Safety Networks. CCNC (2019)
Jithin Jagannath, Tommaso Melodia
VL-ROUTE: A Cross-Layer Routing Protocol for Visible Light Ad Hoc Network. CoRR (2019)
Jithin Jagannath, Tommaso Melodia
VL-ROUTE: A Cross-Layer Routing Protocol for Visible Light Ad Hoc Network. WOWMOM (2019)
Jithin Jagannath, Tommaso Melodia
An Opportunistic Medium Access Control Protocol for Visible Light Ad Hoc Networks. ICNC (2018)
Jithin Jagannath, Nicholas Polosky, Daniel O'Connor, Lakshmi Narasimhan Theagarajan, Brendan Sheaffer, Svetlana Foulke, Pramod K. Varshney
Artificial Neural Network Based Automatic Modulation Classification over a Software Defined Radio Testbed. ICC (2018)
Jithin Jagannath, Daniel O'Connor, Nicholas Polosky, Brendan Sheaffer, Svetlana Foulke, Lakshmi Narasimhan Theagarajan, Pramod K. Varshney
Design and evaluation of hierarchical hybrid automatic modulation classifier using software defined radios. CCWC (2017)
Jithin Jagannath, Hanne M. Saarinen, Timothy Woods, Joshua O'Brien, Sean Furman, Andrew L. Drozd, Tommaso Melodia
COmBAT: Cross-layer Based testbed with Analysis Tool implemented using software defined radios. MILCOM (2016)
Jithin Jagannath, Tommaso Melodia, Andrew L. Drozd
DRS: Distributed Deadline-Based Joint Routing and Spectrum Allocation for Tactical Ad-Hoc Networks. GLOBECOM (2016)
Jithin Jagannath, Hanne M. Saarinen, Andrew L. Drozd
Framework for automatic signal classification techniques (FACT) for software defined radios. CISDA (2015)
Thakshila Wimalajeewa, Jithin Jagannath, Pramod K. Varshney, Andrew L. Drozd, Wei Su
Distributed asynchronous modulation classification based on hybrid maximum likelihood approach. MILCOM (2015)
Svetlana Foulke, Jithin Jagannath, Andrew L. Drozd, Thakshila Wimalajeewa, Pramod K. Varshney, Wei Su
Multisensor Modulation Classification (MMC): Implementation Considerations - USRP Case Study. MILCOM (2014)
Jithin Jagannath, Anu Saji, Hovannes Kulhandjian, Yifan Sun, Emrecan Demirors, Tommaso Melodia
A hybrid MAC protocol with channel-dependent optimized scheduling for clustered underwater acoustic sensor networks. WUWNet (2013)