Gihan J. Mendis

Orcid: 0000-0002-3949-9641

Affiliations:
  • University of Akron, OH, USA


According to our database1, Gihan J. Mendis authored at least 13 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Cybersecurity Education in the Age of Artificial Intelligence: A Novel Proactive and Collaborative Learning Paradigm.
IEEE Trans. Educ., June, 2024

2021
A Blockchain-Powered Decentralized and Secure Computing Paradigm.
IEEE Trans. Emerg. Top. Comput., 2021

DDLPF: A Practical Decentralized Deep Learning Paradigm for Internet-of-Things Applications.
IEEE Internet Things J., 2021

2020
A 1.0-8.3 GHz Cochlea-Based Real-Time Spectrum Analyzer With Δ-Σ-Modulated Digital Outputs.
IEEE Trans. Circuits Syst. I Regul. Pap., 2020

Physics-Aware Processing of Rotational Micro-Doppler Signatures for DBN-Based UAS Classification Radar.
Proceedings of the IEEE International Conference on RFID, 2020

2019
Deep Learning Based Radio-Signal Identification With Hardware Design.
IEEE Trans. Aerosp. Electron. Syst., 2019

2018
Intelligent Soft Computing-Based Security Control for Energy Management Architecture of Hybrid Emergency Power System for More-Electric Aircrafts.
IEEE J. Sel. Top. Signal Process., 2018

Blockchain as a Service: An Autonomous, Privacy Preserving, Decentralized Architecture for Deep Learning.
CoRR, 2018

2017
Real-Time Detection of False Data Injection Attacks in Smart Grid: A Deep Learning-Based Intelligent Mechanism.
IEEE Trans. Smart Grid, 2017

DFT Computation Using Gauss-Eisenstein Basis: FFT Algorithms and VLSI Architectures.
IEEE Trans. Computers, 2017

2016
Deep learning based doppler radar for micro UAS detection and classification.
Proceedings of the 2016 IEEE Military Communications Conference, 2016

An Attack-Resilient Middleware Architecture for Grid Integration of Distributed Energy Resources.
Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016

Deep learning-based automated modulation classification for cognitive radio.
Proceedings of the 2016 IEEE International Conference on Communication Systems, 2016


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