Area of research
Materials Chemistry · Biomedical Engineering
Research interest
Research interests include Shape Memory Alloy Transformations, Bone Tissue Engineering Materials, Titanium Alloys Microstructure and Properties, and Advancements in Battery Materials.
Trustworthy battery state of charge estimation enabled by multi-task deep learning
Enhancing battery health estimation using incomplete charging curves and knowledge-guided deep learning
Systematic analysis of reaction parameters driving the hydrothermal growth of layered VS<sub>2</sub>
Wind Power Forecasting in the presence of data scarcity: A very short-term conditional probabilistic modeling framework
Exploiting domain knowledge to reduce data requirements for battery health monitoring
Very short-term wind power forecasting considering static data: An improved transformer model
Enhanced battery life prediction with reduced data demand via semi-supervised representation learning
SoilingEdge: PV Soiling Power Loss Estimation at the Edge Using Surveillance Cameras
Four-electrode symmetric setup for electrochemical impedance spectroscopy study of Lithium–Sulfur batteries