I am a Senior Lecturer within the Faculty of Engineering and Advanced Manufacturing. My current research interests are primarily in the areas of mathematical modelling of engineering systems, system identification and control of industrial processes, and numerical optimization. I also have a background in robotics and teleoperator control, with a particular interest in force control.
I have degrees in Mechanical Engineering from Newcastle University (BSc and PhD) and Durham University (MEng). I am also a Chartered Mechanical Engineer and Member of the Institution of Mechanical Engineers (CEng, MIMechE), and an Associate Member of the Institute of Mathematics and its Applications (AMIMA).
Cox, Chris, Tindle, John and Burn, Kevin (2015) A comparison of software-based approaches to identifying FOPDT and SOPDT model parameters from process step response data. Applied Mathematical Modelling, 1 (1). pp. 100-114. ISSN 0307-904X
Burn, Kevin, Robinson, Evan and Dixon, Derek (2014) Introducing fundamental concepts of control: A case study in robot force control. International Journal of Mechanical Engineering Education, 42 (4). pp. 320-339. ISSN 2050-4586
Short, Michael and Burn, Kevin (2011) A generic controller architecture for intelligent robotic systems. Robotics and Computer-Integrated Manufacturing, 27 (2). pp. 292-305. ISSN 0736-5845
Burn, Kevin, Maerte, Loic and Cox, Chris (2010) A MATLAB toolbox for teaching modern system identification methods for industrial process control. International Journal of Mechanical Engineering Education, 38 (4). pp. 352-364. ISSN 0306-4190
Burn, Kevin and Home, Geoffrey (2008) Environment classification using kohonen self-organizing maps. Expert Systems, 25 (2). pp. 98-114. ISSN 1468-0394
Bellotto, N, Burn, Kevin, Fletcher, E and Wermter, Stefan (2008) Appearance-based localization for mobile robots using digital zoom and visual compass. Robotics and Autonomous Systems, 56 (2). pp. 143-156. ISSN 0921-8890
Burn, Kevin, Short, Michael, Bicker, Robert and Home, Geoffrey (2005) A software tool for automating the design of robot fuzzy force controllers. Robotica, 23 (2). pp. 247-256. ISSN 02635747
Ewart, Brian, Burn, Kevin and Oatley, Giles (2005) Matching crimes using burglars' modus operandi: A Test of three models. International Journal of Police Science and Management, 7 (3). pp. 160-174. ISSN 14613557
Burn, Kevin, Bicker, Robert and Bell, G Duncan (2003) A novel system to rapidly analyse the flexural rigidity of endoscopes used in colonoscopy and flexible sigmoidoscopy. International Journal of COMADEM, 6 (4). pp. 23-32. ISSN 13637681
Burn, Kevin, Short, Michael and Bicker, Robert (2003) Adaptive and nonlinear fuzzy force control techniques applied to robots operating in uncertain environments. Journal of Robotic Systems, 20 (7). pp. 391-400. ISSN 07412223
Burn, Kevin and Bell, G Duncan (2001) Measurement of the stiffness of endoscopes - a plea for commonality. International Journal of Gastroenterology and Hepatology, 49. ISSN 00175749
Bhagat, Kiran, Wermter, Stefan and Burn, Kevin (2009) Hybrid Learning Architecture for Unobtrusive Infrared Tracking Support. In: IEEE International Joint Conference on Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE, 2703- 2709. ISBN 9781424418206
Altahhan, Abdulrahman, Burn, Kevin and Wermter, Stefan (2008) Visual robot homing using Sarsa(λ), whole image measure, and radial basis function. In: IEEE International Joint Conference on Neural Networks, 2008: IJCNN 2008; (IEEE World Congress on Computational Intelligence, Hong Kong, June 2008). Institute of Electrical and Electronics Engineers, pp. 3861-3868. ISBN 9781424418206
Yau, Chi-Yung, Burn, Kevin and Wermter, Stefan (2010) Configuring the stochastic helmholtz machine for subcortical emotional learning. In: IEEE World Congress on Computational Intelligence (WCCI 2010), 18-23 Jul 2010, Barcelona, Spain.
Yau, Chi-Yung, Burn, Kevin and Wermter, Stefan (2008) A Neural Wake-Sleep Learning Architecture for Associating Robotic Facial Emotions. In: IEEE World Congress on Computational Intelligence(IJCCN 2008), 1-8 June 2008, Hong Kong.
Last updated 03 September 2018