Signal Processing, Affective Computing, Emotion Recognition using Machine Learning/Deep Learning, Biomedical and Multimodal Signal Analysis
Emotion-Aware AI: Revolutionizing Intelligent Communication
Artificial Intelligence and Machine Learning, Neuroscience, Image and Signal Processing, Medical Devices
AI for Neurological Disorders Using Signals, Imaging and Medical Devices
Electrical Power System Optimization and Grid Integration, Electric Vehicles, Battery Thermal Management, Machine Learning, Neural Networks
Multi-Objective Optimization of EV Battery Thermal Management Using ML
FPGA and VLSI implementations of spiking neurons and signal processing
Hardware implementations of learning with biologically realistic neural networks
AI for Battery Intelligence & BMS Systems
Applications are invited for PhD research in AI-driven battery intelligence and embedded Battery Management Systems (BMS) for electric vehicle applications. The work involves battery modeling, machine learning-based state estimation (SoC, SoH, RUL), and real-time embedded implementation using simulation and hardware-in-loop platforms. Candidates with strong background in Embedded Systems, Power Systems, Energy Systems, or AI/ML are encouraged to apply.
