Name

Professor Ian Sillitoe

Job Title Professor of Robotic Engineering
Faculty Faculty of Science and Engineering
School School of Engineering
Subject(s) Area Robotics
Tel 01902 323820
Email I.Sillitoe@wlv.ac.uk

Engineering

Ian joined the University of Wolverhampton in 2008 as Associate Dean for the Graduate School and moved to the School of Engineering in 2013. He was previously Professor of Robotics in Sweden for 12 years and has over 30 years’ experience of higher education both in the UK and aboard.

 

To date, his research has largely been concerned with the computational aspects of mechatronic systems. In particular, intelligent sensor and actuator systems, hardware-software co-design solutions and the design of practical learning/estimation strategies for use in electro-mechanical systems. This research has led to both industrial and academic co-operation.

 

The industrial collaboration has included consultancy, invited seminars for industrial audiences, industrially sponsored research students and leading roles in two Swedish national networks. Currently, Ian is the lead academic in a number of Knowledge Transfer Partnerships (KTP), in which practical industrially-based problems are solved in collaboration with industrial partners.

 

The academic co-operation has resulted in joint research projects with 12 universities within Europe and north America and visiting professorships/lectureships at 5 institutions. Ian is currently technical committee member of 8 international conferences concerned with mechatronic systems. Ian is the author or co-author of over 70 publications

Ian has national and international experience of collaboration with industrial organisations and regularly provides advice in the areas of intelligent robot control, electronic design ( both analogue and digital) and algorithmic design for the control of flexible electro-mechanical systems.

Ian’s research interests lie in the areas of intelligent sensor and actuator systems, with application to practical problems. In particular, those problems with demanding constraints, such as operating in an unstructured environment or operating with limited computational resources. The results of Ian’s work have been applied to wide range of fields other than robotics including marine, biomedical, forensic, food processing, manufacturing.  

Senior Member of the Institute of Electrical and Electronic Engineers (IEEE)

 

Member  of the Institute of Electronics Information and Communication Engineers (IEICE)

 

Member of The Society for the Study of Artificial Intelligence and Simulation of Behaviour (SAISB)

Recent Publications

 

Ramaswamy Palaniappan, Samraj Andrews, Ian P. Sillitoe, Tarsem Shira, Paramesran Raveendran ‘Improving the Feature Stability and Classification Performance of Bimodal Brain and Heart Biometrics’, Advances in Intelligent Systems and Computing Series, Springer International Publishing, 2016. 175-186

Surej Mouli, Ramaswamy Palaniappan, and Ian P. Sillitoe ‘Improving Steady State Visual Evoked Potentials Responses from LED Stimuli Through Orientation Analysis’, Journal of Medical Imaging and Health InformaticsVol. 5, 1–6, 2015

 

E. Owhonda, M. Button and I. Sillitoe, ‘The Development of Intelligent, Multi-Transducer Signal Conditioning for Manufacturing Applications’, The 25Th International Conference on Flexible Automation and Intelligent Manufacturing, Vol. 2 ,66-73, 2015

 

S. Mouli, R. Palaniappan, I. P. Sillitoe, and J. Q. Gan, “Performance analysis of multi-frequency SSVEP-BCI using clear and frosted colour LED stimuli,” 13th IEEE International Conference on Bioinformatics and Bioengineering, Chania, Greece, 10–13 November 2013.

 

S. Mouli, R. Palaniappan and I. P. Sillitoe, “A configurable,inexpensive, portable, multi-channel, multi-frequency, multi- chromatic RGB LED  visual stimuli design for SSVEP stimulation”'  in A. E. Hassanien and A. T.  Azar (eds.), “Brain-Computer Interfaces: Current Trends

and Applications” Springer-Verlag, 2014