Dielectrophoretic cell isolation in microfluidics channels for high-throughput biomedical applications. - Logeeshan Velmanickam; Keerthi Nawarathna (EIT, 2016)

Automated Medicinal-Pill Dispenser with Cellular and Wi-Fi IoT Integration. - Chanuka Bandara; Ashan Dhanuka Sandanayake; Yehan Kodithuwakku; V. Logeeshan (AIIoT, 2022)

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)

HomeIO: Offline Smart Home Automation System with Automatic Speech Recognition and Household Power Usage Tracking. - I. B. Chandra Irugalbandara; Abdul Salam Naseem; Sasmitha Perera; Velmanickam Logeeshan (AIIoT, 2022)

IoT Based Healthcare Kit for Domestic Usage. - Yehan Kodithuwakku; Ashan Dhanuka Sandanayake; Chanuka Bandara; V. Logeeshan (AIIoT, 2022)

Smart Three In One System For Indoor Safety Assurance. - Ashan Dhanuka Sandanayake; Yehan Kodithuwakku; Chanuka Bandara; V. Logeeshan (AIIoT, 2022)

Enhanced Fault Classification and Localization in Microgrids Using Machine Learning. - J. A. R. R. Jayasinghe; J. H. E. Malindi; R. M. A. M. Rajapaksha; V. Logeeshan; Chathura Wanigasekara (AIIoT, 2023)

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)

Optimal Scheduling of a Solar-Powered Microgrid Using ML-Based Solar and Load Forecasting. - W. M. N. Witharama; K. M. D. P. Bandara; M. I. Azeez; Muditha Adhikari; Kasun Bandara; 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)

A Secure and Smart Home Automation System with Speech Recognition and Power Measurement Capabilities. - I. B. Chandra Irugalbandara; Abdul Salam Naseem; Sasmitha Perera; Sithamparanathan Kiruthikan; Velmanickam Logeeshan (Sensors, 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)

Accurate Prediction of Remaining Useful Life for Lithium-ion Battery Cells Using Deep Neural Networks. - Shamaltha M. Wickramaarachchi; S. A. Dewmini Suraweera; D. M. Pasindu Akalanka; V. Logeeshan; Chathura Wanigasekara (AIIoT, 2024)

Automatic Control and Health Monitoring of a 3-Dimentional Overhead Crane with Minimally Required Sensor Devices. - Minami Kumarawadu; Logeeshan Velmanickam (ICINCO (1), 2024)

Advanced Genetic Algorithm for Optimal Microgrid Scheduling Considering Solar and Load Forecasting, Battery Degradation, and Demand Response Dynamics. - W. M. N. Witharama; K. M. D. P. Bandara; M. I. Azeez; Kasun Bandara; V. Logeeshan; Chathura Wanigasekara (IEEE Access, 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)