Research

Key Reasearch Areas:

• Modeling, simulation and control of intelligent transportation systems (involving neuro-computing)
• Smart mobility concepts, logistics and supply chain networks
• Intelligent vehicle technologies (driver assistance systems, pro-active real-time road safety, driver state (including emotion, stress and drowsiness) estimation and forecast
• Machine learning and pattern recognition, with selected applications in transportation
• Neuro-computing (including deep learning, recurrent & cellular neural networks, convolutional neural networks), with selected applications in pattern recognition, time-series analysis & forecasting, ultra-fast solving of differential equations for speeding-up system simulations, graph-theoretical problems solving, discrete optimization, image processing and enhancement, sensor data or image compression
• Nonlinear dynamics and system dynamics with selected applications in transportation