Dr Osman Tokhi

Lecturer

Department:
Engineering

Faculty:
Automated Control and Systems Engineering

Research Expertise:

  • Biomedical applications of robotics and control
  • Assistive robotics for mobility in disabled and elderly
  • Adaptive/intelligent and soft computing techniques for modelling and control

Contact:

Telephone: (+44) (0)114 222 5617
Email: o.tokhi@sheffield.ac.uk
Visit Website

Biography

Active noise and vibration control

  • Robust design of active control systems, with due consideration of physical extent of cancellation and geometrical arrangement of system components.
  • Modelling, simulation and control of flexible and hybrid flexible/rigid manoeuvring systems.
  • Modelling, simulation and control of 1D and 2D flexible structures.

Adaptive/intelligent and soft computing, modelling and control

  • Development of new bio-inspired and nature-inspired optimisation algorithms. These include based on evolutionary algorithms, swarm intelligence (particle swarm, ant colony, firefly, bat colony, bacterial foraging and artificial immune system), spiral dynamics.
  • Adaptive/intelligent methods based on combined capabilities of neural networks, fuzzy logic and bio-inspired/nature-inspired optimisation approaches.
  • Generic approaches for model-based and non-model-based control system design.
  • Optimisation techniques for structural design of soft-computing paradigms.

Assistive robotics

  • Assistive techniques for mobility of disabled and the elderly.
  • Muscle and joint modelling techniques.
  • Intelligent techniques for gait restoration in paraplegia.
  • Robotic and functional electrical stimulation-assisted mechanisms for exercise, with benefits of rehabilitation, for paraplegia. These include rowing, cycling, treadmill walking, sit-to-stand manoeuvres, etc.
  • Intelligent orthotic systems for mobility, manipulation & grasping for elderly and disabled in support of ambient assisted living
  • Mobile service robotic systems for use in industrial and domestic applications.

High-performance architectures for real-time signal processing and control

  • Code optimisation for efficient implementation of signal processing and control algorithms.
  • Digital signal processing and parallel processing for real-time control applications.
  • Heterogeneous architectures for parallel real-time control.
  • Intelligent embedded Internet for dynamic monitoring and control.
  • Performance evaluation and design tools for heterogeneous parallel architectures