Akhash Vellandurai

According to our database, Akhash Vellandurai authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Weighted Sum TimeMixerMax: Capturing Peak Dynamics in Multivariate Time Series Forecasting.

Akhash Vellandurai, Ankit Sharma, Vinoth Kumar, Kingshuk Banerjee

Proceedings of the IEEE International Conference on Big Data, 2025

Minimizing Delays in Opportunity Charging for Electric Bus Fleets.

K. R. Sheetal Kumar, Akhash Vellandurai, Abhishek Kumar, Vinoth Kumar, Kingshuk Banerjee

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Optimizing Imputation Accuracy With DRL-Based Sensor-less Scheduling.

Akhash Vellandurai, Ankit Sharma, Thiruvengadam Samon, Vinoth Kumar, Kingshuk Banerjee

Proceedings of the IEEE International Conference on 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

Proceedings of the IEEE International Conference on Big Data, 2024

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

Proceedings of the IEEE International Conference on Big Data, 2024

2023

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

Proceedings of the International Conference on Machine Learning and Applications, 2023