Anu Jagannath - RankMe

45 papers B 3Misc 1Journal 32Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Enhancing Spectrum Sensing Through Coupled Hidden Markov Models. MILCOM Haodong Yang, Joshua Kortje, Biao Chen, Pramod K. Varshney, Jithin Jagannath, Anu Jagannath
2024	J	`jnl`	Bluetooth and WiFi Dataset for Real World RF Fingerprinting of Commercial Devices. IEEE Commun. Mag. Anu Jagannath, Zackary Kane, 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	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	—	`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	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	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	—	`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	—	`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`	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
2018	Misc	`conf`	Realizing Data driven and Hampel preprocessor based Adaptive filtering on a Software Defined Radio testbed: A USRP case Study. ICNC Anu Jagannath, Ashwin Amanna