Jithin Jagannath

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Citations	518	500
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i10-index	16	15

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Anu JagannathANDRO Computational Solutions, LLC. | Northeastern UniversityVerified email at androcs.com
Tommaso MelodiaInstitute for the Wireless Internet of Things at Northeastern UniversityVerified email at northeastern.edu
Nicholas PoloskyUMass, ANDRO Computational Solutions LLCVerified email at umass.edu
Pramod VarshneyDistinguished Professor of EECS, Syracuse UniversityVerified email at syr.edu
Francesco RestucciaInstitute for the Wireless Internet of Things, Northeastern University, United StatesVerified email at northeastern.edu
Thakshila WimalajeewaSenior Professional Staff, Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723Verified email at ieee.org
Wei SuIEEE Fellow, U.S. Army Communications-Electronics RD&E CenterVerified email at ieee.org
Lakshmi Narasimhan TheagarajanIndian Institute of Technology PalakkadVerified email at iitpkd.ac.in
Emrecan DemirorsResearch Assistant Professor, Northeastern UniversityVerified email at ece.neu.edu
Keyvan RamezanpourPhD Student, Virginia TechVerified email at vt.edu
Zhangyu GuanAssistant Professor, University at BuffaloVerified email at buffalo.edu
Hovannes KulhandjianCalifornia State University, FresnoVerified email at csufresno.edu
Yifan SunWilliam & MaryVerified email at wm.edu
George SklivanitisResearch Assistant Professor, EECS, Florida Atlantic UniversityVerified email at fau.edu
Dimitris A PadosSchmidt Chair Professor of ECE and CS; Director, Center for Connected Autonomy and AI; FAUVerified email at fau.edu
Kian HamedaniVirginia TechVerified email at vt.edu
Yanzhi WangNortheastern UniversityVerified email at northeastern.edu

Jithin Jagannath

Chief Scientist & Founding Director of ANDRO MR Lab | Adjunct Assistant Professor, UB

Verified email at androcs.com - Homepage

5G/6G Networks SIGINT Cross-layer optimization Software Defined Radio Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Machine learning for wireless communications in the Internet of Things: A comprehensive survey J Jagannath, N Polosky, A Jagannath, F Restuccia, T Melodia Ad Hoc Networks 93, 101913, 2019	166	2019
Artificial neural network based automatic modulation classification over a software defined radio testbed J Jagannath, N Polosky, D O'Connor, LN Theagarajan, B Sheaffer, ... 2018 IEEE International Conference on Communications (ICC), 1-6, 2018	45	2018
LANET: Visible-light ad hoc networks N Cen, J Jagannath, S Moretti, Z Guan, T Melodia Ad Hoc Networks 84, 107-123, 2019	32	2019
Distributed asynchronous modulation classification based on hybrid maximum likelihood approach T Wimalajeewa, J Jagannath, PK Varshney, A Drozd, W Su MILCOM 2015-2015 IEEE Military Communications Conference, 1519-1523, 2015	24	2015
Redefining wireless communication for 6G: Signal processing meets deep learning with deep unfolding A Jagannath, J Jagannath, T Melodia IEEE Transactions on Artificial Intelligence 2 (6), 528-536, 2021	23	2021
Design and experimental evaluation of a cross-layer deadline-based joint routing and spectrum allocation algorithm J Jagannath, S Furman, T Melodia, A Drozd IEEE Transactions on Mobile Computing 18 (8), 1774-1788, 2018	23	2018
HELPER: Heterogeneous Efficient Low Power Radio for enabling ad hoc emergency public safety networks J Jagannath, S Furman, A Jagannath, L Ling, A Burger, A Drozd Ad Hoc Networks 89, 218-235, 2019	18	2019
Framework for Automatic Signal Classification Techniques (FACT) for Software Defined Radios J Jagannath, HM Saarinen, AL Drozd	17	2015
A hybrid MAC protocol with channel-dependent optimized scheduling for clustered underwater acoustic sensor networks J Jagannath, A Saji, H Kulhandjian, Y Sun, E Demirors, T Melodia Proceedings of the Eighth ACM International Conference on Underwater …, 2013	17	2013
Design and evaluation of hierarchical hybrid automatic modulation classifier using software defined radios J Jagannath, D O'Connor, N Polosky, B Sheaffer, S Foulke, ... 2017 IEEE 7th Annual Computing and Communication Workshop and Conference …, 2017	16	2017
Neural networks for signal intelligence: Theory and practice J Jagannath, N Polosky, A Jagannath, F Restuccia, T Melodia Machine Learning for Future Wireless Communications, 243-264, 2020	15	2020
Multisensor Modulation Classification (MMC): Implementation Considerations--USRP Case Study S Foulke, J Jagannath, A Drozd, T Wimalajeewa, PK Varshney, W Su 2014 IEEE Military Communications Conference, 1663-1668, 2014	14	2014
DRS: Distributed deadline-based joint routing and spectrum allocation for tactical Ad-hoc networks J Jagannath, T Melodia, A Drozd 2016 IEEE Global Communications Conference (GLOBECOM), 1-6, 2016	12	2016
Multi-task learning approach for automatic modulation and wireless signal classification A Jagannath, J Jagannath ICC 2021-IEEE International Conference on Communications, 1-7, 2021	11	2021
Vl-route: A cross-layer routing protocol for visible light ad hoc network J Jagannath, T Melodia 2019 IEEE 20th International Symposium on" A World of Wireless, Mobile and …, 2019	11	2019
An opportunistic medium access control protocol for visible light ad hoc networks J Jagannath, T Melodia 2018 International Conference on Computing, Networking and Communications …, 2018	10	2018
Dataset for modulation classification and signal type classification for multi-task and single task learning A Jagannath, J Jagannath Computer Networks 199, 108441, 2021	9	2021
Deep learning and reinforcement learning for autonomous unmanned aerial systems: Roadmap for theory to deployment J Jagannath, A Jagannath, S Furman, T Gwin Deep Learning for Unmanned Systems, 25-82, 2021	7	2021
COmBAT: Cross-layer based testbed with analysis tool implemented using software defined radios J Jagannath, H Saarinen, T Woods, J O'Brien, S Furman, A Drozd, ... MILCOM 2016-2016 IEEE Military Communications Conference, 1261-1266, 2016	7	2016
Intelligent Zero Trust Architecture for 5G/6G Networks: Principles, Challenges, and the Role of Machine Learning in the context of O-RAN K Ramezanpour, J Jagannath arXiv e-prints, arXiv: 2105.01478, 2021	6*	2021

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