TA-SAITS: Time Aware-Self Attention based Imputation of Time Series algorithm for Partially Observable Multi -Variate Time Series. - Ankit Sharma; Thiruvengadam Samon; Akhash Vellandurai; Vinoth Kumar (ICMLA, 2023)

Optimizing Bus Fleet Operations for Prolonged Battery Life: A Genetic Algorithm Approach. - Rajat Verma; Ankit Sharma; K. R. Sheetal Kumar; Vinoth Kumar; Nakao Ryohei; Abhishek Kumar (ICMLA, 2023)

Optimization-Based Grid Energy Management System with BESS and EV Charging Load for Peak Shaving. - Shreyas Kulkarni; K. R. Sheetal Kumar; Akhash Vellandurai; Vinoth Kumar (IEEE Big Data, 2024)

Adaptive Ensemble Imputation for Trip Data using Deep Reinforcement Learning (AEI-DRL). - Ankit Sharma; Akhash Vellandurai; Thiruvengadam Samon; Vinoth Kumar; Manikandan Ravikiran (IEEE Big Data, 2024)

Optimizing Imputation Accuracy With DRL-Based Sensor-less Scheduling. - Akhash Vellandurai; Ankit Sharma; Thiruvengadam Samon; Vinoth Kumar; Kingshuk Banerjee (IEEE Big Data, 2024)

Secure Health Care Data Transaction Using Hybrid Attribute-Based Encryption with Access Control Policy on Cloud. - Amutha Raj; Vinoth Kumar (Int. J. Syst. Syst. Eng., 2024)

Machine learning identifies genes linked to neurological disorders induced by equine encephalitis viruses, traumatic brain injuries, and organophosphorus nerve agents. - Liduo Yin; Morgen Vandergiessen; Vinoth Kumar; Benjamin Conacher; Po-Chien Haku Chao; Michelle Theus; Erik Johnson; Kylene Kehn-Hall; Xiaowei Wu; Hehuang Xie (Frontiers Comput. Neurosci., 2025)