Dr M. Osman Tokhi
Head of Electrical and Electronic Engineering Division
Telephone:0207 815 7533
School/Division:Engineering / Electrical and Electronic Engineering
Dr Tokhi is world authority in active control of noise and vibration and has specialist knowledge and expertise in robotics, control and systems engineering. He has extensive research experience in assistive robotics tailored to addressing rehabilitation and mobility needs of elderly and the disabled, control of acoustic noise and vibration, computational intelligence with specific focus on development of bio- and nature-inspired optimisation algorithms for solving complex science and engineering problems, adaptive/intelligent control and high-performance real-time computing. He has authored/co-authored in excess of 750 publications, including research monographs, text books, and journal and conference research articles in these areas, and has supervised more than 55 PhD projects to successful completion.
Dr Tokhi has taught a wide range of subjects in undergraduate and postgraduate taught degree programmes. These have included fundamental topics such as mathematics and physics through to medium and advanced level topics such as analysis of linear systems, analogue and discrete control system analysis and design, digital signal processing, active control, adaptive filtering, self-tuning and adaptive control, distributed real-time systems, random processes, robotics, and computer architectures. He has also given invited short courses, seminars, tutorials, workshops and lectures on advanced topics at various higher education institutions and at international conferences.
He has supervised in excess of 100 MSc individual projects and similar number of undergraduate final year projects to successful completion. He has authored/co-authored several text books and has developed interactive software environments for adoption in taught degree programmes. These include the following:
TOKHI, M. O. and AZAD, A. K. M. (2017). Flexible robot manipulators: Modelling, simulation and control, 2nd edition. The Institution of Engineering and Technology, Stevenage, UK. ISBN: 978-1-84919-583-6.
TOKHI, M. O. and AZAD, A. K. M. (2008). Flexible robot manipulators – Modelling, simulation and control, The Institution of Engineering and Technology, Stevenage, UK. ISBN: 978-0-86341-448-0.
TOKHI, M. O., HOSSAIN, M. A. and SHAHEED, M. H. (2003). Parallel computing for real-time signal processing and control, Springer-Verlag, London. ISBN: 1-85233-599-8.
TOKHI, M. O. and LEITCH, R. R. (1992). Active noise control, Clarendon Press, Oxford. ISBN: 0-19-856243-8
TOKHI, M. O. and VERES, S. M. (2002). Active sound and vibration control – Theory and applications, The Institution of Electrical Engineers, London. ISBN: 0-85296-038-7.
Selected Interactive Software Environments:
AZAD, A. K. M., TOKHI, M. O. and SHAHEED, M. H. (2007). A software environment for intelligent modelling and simulation of flexible manipulator systems, Computers in Education Journal, XVII, (4), pp. 86–103.
TOKHI, M. O., AZAD, A. K. M. and POERWANTO, H. (1999). SCEFMAS: An environment for dynamic characterisation and control of flexible robot manipulators. International Journal of Engineering Education, 15, (3), pp. 213-226.
TOKHI, M. O. and MOHD HASHIM, S. Z. (2005). Interactive learning framework for dynamic simulation and control of flexible structures. ASEE Illinois-Indiana Section Conference, Illinois, USA, 01 – 02 April 2005.
Dr Tokhi’s current research activities and interests are grouped into four main areas as described below. The research programmes have received funding from national and international sources including the EPSRC, British Council, and the European Commission.
Adaptive/intelligent computing and control
Adaptive/intelligent control is required in a large number of practical applications, where the characteristics of the system are subject to variation. While conventional adaptive control techniques provide scope for application level developments, intelligent computing (computational intelligence) paradigms including neural networks, biological-inspired optimisation techniques and fuzzy logic provide vast scope for development of efficient and flexible solutions. The main areas of research under this programme include:
- New and efficient biological-inspired optimisation algorithms based on evolutionary algorithms, swarm intelligence (particle swarm, bacterial foraging, bee colony, firefly, invasive weed, spiral dynamics, etc.).
- Hybrid neural networks, fuzzy logic and bio-inspired optimisation techniques.
- Model-based and non-model-based control system design.
The most significant deficit following spinal cord injury (SCI) is the loss of mobility. Considerable effort is directed towards hybrid assistive systems to re-establish functional movement in people with SCI and those with partial physical impairment. Robotics and control offer the potential to develop methods for restoration of functional movements in SCI individuals. This will involve development of hybrid gait restoration systems that combine electrical muscle stimulation with externally controlled mechanical brace. Further approaches include robotic scaled augmentation of the lost ability in partial physically impaired individuals such as the elderly. The main areas researched under this programme include
- Muscle and joint modelling
- Intelligent techniques for gait restoration and rehabilitation
- Mechanisms for active exercise regimes.
- Assistive robotic mobility for the physically impaired
- Mobility assistance with reconfigurable smart wheelchair mechanisms.
Active control of noise and vibration
Noise and vibration are known to have adverse physiological and psychological effects on human beings. In this context they are considered as pollutants of environment. Structural vibration, additionally, causes damage to the vibrating structure, with devastating effects and results. Although passive methods can be used efficiently at high frequencies, low-frequency noise/vibration reduction has been a challenge. This research programme seeks to develop efficient and economic solutions for reduction of noise/vibration at low frequencies using active control methods. The main areas of focus include
- Robust design of active control systems.
- Modelling, simulation and control of flexible manoeuvring systems, such as flexible robot manipulators, overhead cranes, and air vehicles.
High-performance real-time computing
The performance demands of modern signal processing and control systems often exceed the capacity of conventional computing platforms and require alternative solutions for real-time performance. Appropriate matching of hardware granularity to task size is essential to fully exploit the computational power available. It is therefore inevitable that the architecture is a heterogeneous one. This programme seeks to exploit capabilities of single processors and to integrate a variety of processors within unified architectures for complex signal processing and control applications. The approach involves development of software environments to support the design, implementation and testing of such architectures.
Dr Tokhi’s professional qualifications include
- Chartered Engineer (1991), Engineering Council
- Corporate Member (1991), Fellow (2004) of the Institution of Engineering and Technology (IET)
- Member (1989), Senior Member (1997) of the Institute of Electrical and Electronics Engineers (IEEE)
- Member (1995) of International Institute of Acoustics and Vibration (IIAV)
- Member (2006) of CLAWAR Association (CA).
Selected editorial appointments:
- 2013-Editor-in-Chief, Journal of Low Frequency Noise, Vibration and Active Control
- 2009-Associate Editor, Journal of Computational Biomedical Engineering and Telemedicine
- 2017-Editor, Book Series on Service Robotics, World Scientific Publishing Co, Singapore
- 2007-Co-Editor, Book Series on Mobile Service Robotics, Elsevier Publishing Co, UK
- 2007-Member of Editorial Advisory Board, Industrial Robot Journal
- 2006-2010:Editor-in-Chief, Advances in Acoustics and Vibration
- 2008-2011:Associate Editor, Robotica
- 1996-2009:Associate Scientific Editor, International Journal of Acoustics and Vibration
- 2000-2013:Member of Editorial Board, Journal of Low Frequency Noise, Vibration and Active Control
Selected Learned Societies Appointments:
- 2015-Chair, CLAWAR Association (https://clawar.org)
- 2012-Chair, UK Robot Ethics (UKRE) Forum, British Standards Institute (BSI) (http://www.robotethics.org.uk/)
- 2017-Convenor, ISO/TC299/WG2 Working Group on Personal care robot safety
- 2002-Member, IFAC Technical Committee TC 3.1: Computers for Control
- 2002-Member, IFAC Technical Committee TC 3.2: Computational Intelligence in Control
- 2006-Member, BSI AMT/0/10 – Robotics– Committee, British Standards Institute (BSI)
- 2010-2015:Deputy Chair, CLAWAR Association
- 2005-2010:Executive Director, CLAWAR Association
- 2004-2008:Member of Board of Directors, International Institute of Acoustics and Vibration
- 1998-2002:Member, IFAC Technical Committee on Algorithms and Architectures for Real-time Control
International Conference Appointments:
- General Conference Chair: CLAWAR 2016 (London, Sept 2016), CLAWAR 2005 (London, Sept 2005), IEE Inter-Active (online, 1999, 2001), UK Robot Ethics Workshop (Sheffield, 2013).
- International Program Chair: CLAWAR annual conference series since 2007, ICRE2015 (International Conference on Robot Ethics, Lisbon, 2015)
- Membership of Program Committee of an extensive number of international conferences.
- Organiser of special sessions and session chair at several international conferences.
- Presenter of plenary/keynote lectures upon invitation at several international conferences
External Examiner appointments
Dr Tokhi is currently external examiner of UG programme in Electronic and Robotics Engineering, at the University of Central Lancashire, UK. He has previously acted as external examiner of taught programmes at University Malaysia Pahang during 2010-2012 and LSBU during 2004-2009. He has further acted as external examiner of over 50 PhD programmes at national and international higher education institutions.