Self-Adaptive Output Tracking with Applications to Active Binocular Tracking. - Sisil Kumarawadu; Keigo Watanabe; Kazuo Kiguchi; Kiyotaka Izumi (J. Intell. Robotic Syst., 2003)

Direct-adaptive neurocontrol of robots with unknown nonlinearities and velocity feedback. - Tsu-Tian Lee; Sisil Kumarawadu; Jau-Woei Perng (SMC, 2005)

A New Paradigm for Intelligent Collision Avoidance via Interactive and Interdependent Generic Maneuvers. - Ravipriya Ranatunga; Sisil Kumarawadu; Pawan Lingras; Tsu-Tian Lee (SMC, 2006)

Neuroadaptive Combined Lateral and Longitudinal Control of Highway Vehicles Using RBF Networks. - Sisil Kumarawadu; Tsu-Tian Lee (IEEE Trans. Intell. Transp. Syst., 2006)

High-Performance Object Tracking and Fixation With an Online Neural Estimator. - Sisil Kumarawadu; Keigo Watanabe; Tsu-Tian Lee (IEEE Trans. Syst. Man Cybern. Part B, 2007)

Cooperatively Controlled Collision Evasive Emergency manoeuvres. - S. R. Ranatunga; Sisil Kumarawadu (Control. Intell. Syst., 2008)

Neuroadaptive Output Tracking of Fully Autonomous Road Vehicles With an Observer. - Sisil Kumarawadu; Tsu-Tian Lee (IEEE Trans. Intell. Transp. Syst., 2009)

Low-Cost Ensembling for Deep Neural Network based Non-Intrusive Load Monitoring. - Balarupan Gowrienanthan; N. Kiruthihan; K. D. I. S. Rathnayake; Sisil Kumarawadu; V. Logeeshan (AIIoT, 2022)

Maximizing Efficiency in Commercial Power Systems with an Optimized Load Classification and Identification Method Using Deep Learning and Ensemble Techniques. - M. J. S. Kulathilaka; S. Saravanan; H. D. H. P. Kumarasiri; V. Logeeshan; Sisil Kumarawadu; Chathura Wanigasekara (AIIoT, 2023)

A Data-Driven Approach Based on Artificial Neural Networks for the Detection and Classification of Bearing Anomalies in Power Generation Plants. - S. I. Senarathna; L. A. U. Prasanshi; S. D. W. Senanayake; Dhammike Wimalarathne; Sisil Kumarawadu; V. Logeeshan; Chathura Wanigasekara (AIIoT, 2023)

Neural Network-Based Pipeline for Detection of Sensor Anomalies in Battery Energy Storage Systems. - H. G. I. Thiranga; M. S. Weeraman; P. A. L. Pathirage; V. Logeeshan; Sisil Kumarawadu (ICIIS, 2023)

Deep Learning Based Non-Intrusive Load Monitoring for a Three-Phase System. - Balarupan Gowrienanthan; N. Kiruthihan; K. D. I. S. Rathnayake; S. Kiruthikan; Logeeshan Velmanickam; Sisil Kumarawadu; Chathura Wanigasekara (IEEE Access, 2023)

Review on Li-ion Battery Parameter Extraction Methods. - Akila E. Jayasinghe; Nuwantha Fernando; Sisil Kumarawadu; Liuping Wang (IEEE Access, 2023)

Multilingual semantic fusion network for text recognition in the wild. - Celi Lou; Minglei Tong; Liang Xue; Sisil Kumarawadu (J. Electronic Imaging, 2023)

Self-Adaptive Non-Intrusive Load Monitoring Using Deep Learning. - S. M. L. Arampola; M. S. K. Nisakya; W. A. Yasodya; Sisil Kumarawadu; V. Logeeshan; Chathura Wanigasekara (AIIoT, 2024)

Deep Learning-Based Cyber Attack Detection in Power Grids with Increasing Renewable Energy Penetration. - M. A. S. P. Dayarathne; M. S. M. Jayathilaka; R. M. V. A. Bandara; V. Logeeshan; Sisil Kumarawadu; Chathura Wanigasekara (AIIoT, 2024)

Development of Deep Learning Model to Detect Cyber-Attacks within Vehicular Networks. - R. D. Sandakelum; V. H. Liyanage; P. M. Chandrasekara; V. Logeeshan; Sisil Kumarawadu; Chathura Wanigasekara (AIIoT, 2024)

Mitigating Cyber Risks in Smart Cyber-Physical Power Systems Through Deep Learning and Hybrid Security Models. - M. A. S. P. Dayarathne; M. S. M. Jayathilaka; R. M. V. A. Bandara; V. Logeeshan; Sisil Kumarawadu; Chathura Wanigasekara (IEEE Access, 2025)

Self-Adaptive Deep Learning Framework for Non-Intrusive Load Monitoring: Addressing Aging Appliance Challenges With Transfer Learning and Pseudo Labeling. - W. A. Yasodya; S. M. L. Arampola; M. S. K. Nisakya; V. Logeeshan; Sisil Kumarawadu; Chathura Wanigasekara (IEEE Access, 2025)