B. Fidan

Baris Fidan

Mechanical and Mechatronics Engineering, Professor

Biography

Baris Fidan is a Professor in Mechanical & Mechatronics Engineering, with cross appointment in System Design Engineering and Electrical & Computer Engineering at the University of Waterloo. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and the American Institute of Aeronautics and Astronautics (AIAA).

His research interests include cooperative and adaptive control, system identification, nonlinear system theory, multi-agent systems and sensor networks, robotics and intelligent systems, and various control applications including vehicular controls and control of mechatronic and biomedical systems.

Professor Fidan has been the principal investigator for the NSERC discovery programs `Cooperative and Adaptive Mechatronic Systems: Identification, Control, and Optimization' and

‘Distributed Geometric Coordination of Autonomous Vehicle Networks Moving in Three Dimensions’ and the CFI-ORF Research Infrastructure ‘Cooperative Autonomous Vehicle Network Test-Bed’. He has also been the principal investigator or co-investigator of a number of industrial research projects, including the Mitacs Project `Localization, Monitoring, and Motion Coordination of Autonomous Indoor Service Robots', NSERC/ORF CRD projects `Autonomous Driving Strategies for Urban and Highway Environments', `Development of New Technologies for Design and Popularization of Urban Vehicles', `Holistic Vehicle Control', `Hard Shaping and Accelerated Dressing Technologies for High-Productivity / High-Quality Gear Manufacture'.

Research

Research Interests

  • Nonlinear adaptive and switched dynamical systems Robust adaptive control
  • Mechatronic system control
  • Autonomous multi-agent dynamical systems Coordination and localization in sensor networks
  • Geometric optimization in multi-sensor systems
  • Autonomous vehicle motion planning and control Cooperative driving
  • Vehicle stability control
  • High performance flight control
  • MEMS/NEMS control
  • Autonomous and Connected Car
  • Automotive
  • Operational Artificial Intelligence
  • Robotics

Application Areas

  • Balance/Motor Control/Biomechanics
  • Fall Prevention
  • Healthcare Systems
  • Rehabilitation
  • Wearable Devices

Technology Areas

  • Actuators
  • Computational Modelling
  • Machine Learning/AI
  • Robotics
  • Sensors

Discipline Areas

  • Biomechanical Engineering
  • Biomedical Engineering
  • Computer Science
  • Electrical and Computer Engineering
  • Mechanical and Mechatronics Engineering
  • Robotics