‪Chathurika S Wickramasinghe Brahmana‬

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i10-index	14	14

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Milos Manic, Professor, IEEE FellowProfessor of Comp. Science, Director of Cybersecurity Center, Virginia Commonwealth UniversityEmail verificata su ieee.org
Daniel L MarinoApplied Scientist, Amazon.comEmail verificata su vcu.edu
Kasun AmarasingheCarnegie Mellon UniversityEmail verificata su andrew.cmu.edu
Craig RiegerThreat Resilient Control Systems Innovator and ConsultantEmail verificata su isu.edu
Harindra S MavikumburePhD Student and Research Assistant, Virginia Commonwealth UniversityEmail verificata su vcu.edu
Victor CobileanResearch Assistant, Virginia Commonwealth UniversityEmail verificata su vcu.edu
Javier Grandío GonzálezUniversidad de VigoEmail verificata su uvigo.es
Vivek Kumar SinghSenior Research Scientist - National Renewable Energy Laboratory (NREL)Email verificata su nrel.gov
Kathryn HollowayProfessor of Neurosurgery, Virginia Commonwealth UniversityEmail verificata su vcu.edu
Deepak KumbhareVirginia Commonwealth UniversityEmail verificata su alumni.vcu.edu
Benny VargheseResearch Engineer, Idaho National LaboratoryEmail verificata su inl.gov
Brian K. JohnsonProfessor of Electrical Engineering, University of IdahoEmail verificata su uidaho.edu
Tyler PhillipsIdaho National LabEmail verificata su u.boisestate.edu
Jamie Blake TomsLSU Health Science Center-ShreveportEmail verificata su lsuhs.edu
Ananth A. Jillepalli-Email verificata su ieee.org
Bjorn VaagensmithPhD Researcher, Idaho National LaboratoryEmail verificata su inl.gov
Billy TsouvalasStony Brook UniversityEmail verificata su stonybrook.edu
Kyle SchroederGraduate Student, University of Texas at AustinEmail verificata su utexas.edu
Morgan StuartPhDEmail verificata su vcu.edu
Bridget T. McInnesVirginia Commonwealth UniversityEmail verificata su vcu.edu

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Chathurika S Wickramasinghe Brahmana

Altri nomiChathurika Shyamalee Wickramasinghe Brahmana Mudiyanselage

PhD; Sr Assoc, Capital One; Research Associate, Virginia Commonwealth University

Email verificata su vcu.edu

Computer Science


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
An adversarial approach for explainable ai in intrusion detection systems DL Marino, CS Wickramasinghe, M Manic IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society …, 2018	151	2018
Generalization of deep learning for cyber-physical system security: A survey CS Wickramasinghe, DL Marino, K Amarasinghe, M Manic IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society …, 2018	115	2018
Deep self-organizing maps for unsupervised image classification CS Wickramasinghe, K Amarasinghe, M Manic IEEE Transactions on Industrial Informatics 15 (11), 5837-5845, 2019	64	2019
Trustworthy AI development guidelines for human system interaction CS Wickramasinghe, DL Marino, J Grandio, M Manic 2020 13th International Conference on Human System Interaction (HSI), 130-136, 2020	54	2020
ResNet Autoencoders for Unsupervised Feature Learning From High-Dimensional Data: Deep Models Resistant to Performance Degradation CS Wickramasinghe, D Marino, M Manic IEEE Access 9, 40511-40520, 2021	52	2021
Explainable Unsupervised Machine Learning for Cyber-Physical Systems CS WICKRAMASINGHE, K AMARASINGHE, DL MARINO IEEE Access 9, 131824 - 131843, 2021	36	2021
Nucleus basalis of Meynert stimulation for dementia: Theoretical and technical considerations D Kumbhare, V Palys, J Toms, CS Wickramasinghe, K Amarasinghe, ... Frontiers in Neuroscience 12, 385254, 2018	34	2018
Cyber and physical anomaly detection in smart-grids DL Marino, CS Wickramasinghe, K Amarasinghe, H Challa, P Richardson, ... 2019 Resilience Week (RWS) 1, 187-193, 2019	26	2019
Framework for data driven health monitoring of cyber-physical systems K Amarasinghe, C Wickramasinghe, D Marino, C Rieger, M Manicl 2018 Resilience Week (RWS), 25-30, 2018	25	2018
Parallalizable deep self-organizing maps for image classification CS Wickramasinghe, K Amarasinghe, M Manic 2017 IEEE symposium series on computational intelligence (SSCI), 1-7, 2017	17	2017
The virtualized cyber-physical testbed for machine learning anomaly detection: A wind powered grid case study DL Marino, CS Wickramasinghe, VK Singh, J Gentle, C Rieger, M Manic IEEE Access 9, 159475-159494, 2021	14	2021
Anomaly Detection in Critical-Infrastructures using Autoencoders: A Survey HS Mavikumbure, CS Wickramasinghe, DL Marino	13	2022
Data-driven correlation of cyber and physical anomalies for holistic system health monitoring DL Marino, CS Wickramasinghe, B Tsouvalas, C Rieger, M Manic IEEE Access 9, 163138-163150, 2021	12	2021
Deep self-organizing maps for visual data mining CS Wickramasinghe, K Amarasinghe, D Marino, M Manic 2018 11th International Conference on Human System Interaction (HSI), 304-310, 2018	11	2018
Review of design elements within power infrastructure cyber–physical test beds as threat analysis environments B Vaagensmith, VK Singh, R Ivans, DL Marino, CS Wickramasinghe, ... Energies 14 (5), 1409, 2021	9	2021
Self-supervised and interpretable anomaly detection using network transformers DL Marino, CS Wickramasinghe, C Rieger, M Manic arXiv preprint arXiv:2202.12997, 2022	8	2022
AI augmentation for trustworthy AI: Augmented robot teleoperation DL Marino, J Grandio, CS Wickramasinghe, K Schroeder, K Bourne, ... 2020 13th International Conference on Human System Interaction (HSI), 155-161, 2020	8	2020
Data-driven stochastic anomaly detection on smart-grid communications using mixture poisson distributions DL Marino, CS Wickramasinghe, C Rieger, M Manic IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society …, 2019	8	2019
Machine learning for deep brain stimulation efficacy using dense array eeg M Stuart, CS Wickramasinghe, DL Marino, D Kumbhare, K Holloway, ... 2019 12th International Conference on Human System Interaction (HSI), 143-150, 2019	6	2019
Rx-ads: Interpretable anomaly detection using adversarial ml for electric vehicle can data CS Wickramasinghe, DL Marino, HS Mavikumbure, V Cobilean, ... IEEE Transactions on Intelligent Transportation Systems, 2023	4	2023

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