Jithin Jagannath
Jithin Jagannath
Chief Scientist & Founding Director of ANDRO MR Lab | Adjunct Assistant Professor, UB
Verified email at - Homepage
Cited by
Cited by
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
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
LANET: Visible-light ad hoc networks
N Cen, J Jagannath, S Moretti, Z Guan, T Melodia
Ad Hoc Networks 84, 107-123, 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
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
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
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
Framework for Automatic Signal Classification Techniques (FACT) for Software Defined Radios
J Jagannath, HM Saarinen, AL Drozd
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
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
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
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
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
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
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
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
Dataset for modulation classification and signal type classification for multi-task and single task learning
A Jagannath, J Jagannath
Computer Networks 199, 108441, 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
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
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
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