Mohammad Ali

Also published under:Md Firoz Ali, Md F. Ali, M. Ali

Affiliation

Research Department, Zenseact AB, Gothenburg, Sweden

Topic

Model Predictive Control,Deep Learning,Long Short-term Memory,Path Planning,Prediction Horizon,Reference Path,Aggressive Behavior,Autonomous Vehicles,Control Input,Control Problem,Control System,Electric Vehicles,LiDAR Sensor,Model Predictive Control Framework,Model Predictive Control Problem,Road Users,Steering Angle,Action-value Function,Actuator Saturation,Adaptive Filter,Advanced Battery Management,Advanced Driver Assistance Systems,Application Perspective,Approaches In The Literature,Artificial Potential Field,Assistance Systems,Asymptotically Stable,Attention Mechanism,Attention Module,Automated Guided Vehicles,Automated Vehicles,Autonomic System,Autoregressive Integrated Moving Average,Battery Capacity,Battery Dataset,Battery Degradation,Battery Management,Battery Management System,Battery Model,Battery State,Battery State Of Charge,Braking System,Charging Time,Collision Avoidance System,Combining Reinforcement Learning,Constraint Satisfaction,Control Method,Control Of Microgrids,Control Strategy,Convolutional Neural Network,

Biography

Mohammad Ali received the M.Sc. degree in electrical engineering and the Ph.D. degree in mechatronics from the Chalmers University of Technology, Gothenburg, Sweden, in 2005 and 2012, respectively.
He is currently with Zenseact AB, Göteborg, Sweden, responsible for autonomous driving development. His research interests include methods for safe decision-making, trajectory planning with safety guarantees, and verification of safety critical perception and control systems.