Modeling, control, and optimization of dynamic systems; 

Model-based control in advanced propulsion systems; 

Energy management control and optimization in HEVs and PHEVs; 

Energy storage systems- Li-ion and PbA batteries, Supercapacitors; 

Battery aging modeling, state of health estimation, and life prediction for control;

 Damage degradation modeling in interconnected systems;

Blockchain and Data-Driven Models for Energy Traceability and Management;

Electrochemical, Physics-Based, Hybrid, and Data-Driven Models, Physics-Informed and Purely Data-Driven Models for Prognosis and Performance Prediction;

Artificial Intelligence and Machine Learning in Power and Propulsion Systems;

Neural-Symbolic Computation and Next-Generation AI Models;

Neural Language Modeling for Natural Language Generation and Understanding;

Optimizing Energy Storage Systems with AI and Machine Learning.