Biography

I graduated with a BEng (Hons) in Electronic Engineering (Systems) from the University of Sheffield in 2000 and then obtained my PhD in Computer Science (robotics) from the University of Plymouth in 2004. Following that, I worked for three years as a postdoctoral research associate at the University of Essex on an EPSRC funded project involving the mathematical modelling and analysis of mobile robot behaviour. I joined Keele in 2007 as a Lecturer in Computer Science.

Research and scholarship

I have a sustained track record of excellence in multi-disciplinary research and enterprise. The primary focus of my research is Data Science and Machine Learning. I have been applying my expertise to a wide range of areas in industry and academia.

My research enterprise activity includes the provision of consultancy and solutions to large companies and local SMEs. I have recently completed a successful 3-year KTP with Bentley Motors Ltd. (2019-2022) and I have been involved in a number of smaller projects supporting local SMEs since 2014. I have supported and guided many students who were involved in this activity.

In parallel with the above, I have continued my academic research in association with colleagues across different schools at Keele but also outside Keele and overseas. I have attracted funding and published research outcomes in the areas of robotics, pharmacy, sports science, rehabilitation and medicine.

I have served the School of Computing and Mathematics at Keele in a number of organisational roles since 2007 and I have been the programme director for undergraduate and postgraduate programmes in Computer Science since 2018. During this time I led the creation of a number of new (UG, PGT and apprenticeship) programmes in my school and helped in the development of new programmes in other schools.

Teaching

Previous and current teaching experience on the following modules:

  • CSC-10024 (Programming I – Programming fundamentals), Level 4
  • CSC-10029 (Fundamentals of Computing), Level 4
  • CSC-10030 (Programming II - Data Structures and Algorithms), Level 4
  • CSC-20004 (Advanced Programming Practices), Level 5
  • CSC-20015 (Machine Learning and Data Mining Applications), Level 5
  • CSC-20038 (Mobile Application Development)
  • CSC-30021 (Computing in Education), Level 6
  • CSC-30001 (Advanced Information Systems), Level 6
  • CSC-40024 (Technology for Learning and Education), Level 7 (MSc)
  • CSC-40020 (Enterprise Information Systems), Level 7 (MSc)

Selected Publications

  • Joseph G, Orme RP, Kyriacou T, Fricker RA, Roach P. 2021. Effects of Surface Chemistry Interaction on Primary Neural Stem Cell Neurosphere Responses. ACS Omega, 19901-19910, vol. 6(30). link> doi> full text>
  • Rukasha T, Woolley S, Kyriacou T, Collins T. 2020. Evaluation of Wearable Electronics for Epilepsy: A Systematic Review. ELECTRONICS, Article ARTN 968, vol. 9(6). link> doi> full text>
  • Philp F, Al-Shallaw A, Kyriacou T, Blana D, Pandyan A. 2020. Improving predictor selection for injury modelling methods in male footballers. BMJ Open Sport and Exercise Medicine, Article e000634, vol. 6(1). doi> link> full text>
  • Philp F, Al-Shallawi A, Kyriacou T, Blana D, Pandyan A. 2020. Improving predictor selection for injury modelling methods in male footballers. BMJ Open Sport Exerc Med, e000634, vol. 6(1). link> doi> full text>
  • Patterson KD, Kyriacou T, Desai M, Carroll WD, Gilchrist FJ. 2019. Factors affecting the growth of infants diagnosed with cystic fibrosis by newborn screening. BMC Pediatr, 356, vol. 19(1). link> doi> full text>

Full Publications Listshow

Journal Articles

  • Joseph G, Orme RP, Kyriacou T, Fricker RA, Roach P. 2021. Effects of Surface Chemistry Interaction on Primary Neural Stem Cell Neurosphere Responses. ACS Omega, 19901-19910, vol. 6(30). link> doi> full text>
  • Rukasha T, Woolley S, Kyriacou T, Collins T. 2020. Evaluation of Wearable Electronics for Epilepsy: A Systematic Review. ELECTRONICS, Article ARTN 968, vol. 9(6). link> doi> full text>
  • Philp F, Al-Shallaw A, Kyriacou T, Blana D, Pandyan A. 2020. Improving predictor selection for injury modelling methods in male footballers. BMJ Open Sport and Exercise Medicine, Article e000634, vol. 6(1). doi> link> full text>
  • Philp F, Al-Shallawi A, Kyriacou T, Blana D, Pandyan A. 2020. Improving predictor selection for injury modelling methods in male footballers. BMJ Open Sport Exerc Med, e000634, vol. 6(1). link> doi> full text>
  • Patterson KD, Kyriacou T, Desai M, Carroll WD, Gilchrist FJ. 2019. Factors affecting the growth of infants diagnosed with cystic fibrosis by newborn screening. BMC Pediatr, 356, vol. 19(1). link> doi> full text>
  • Wootton AJ, Butcher JB, Kyriacou T, Day CR, Haycock PW. 2017. Structural health monitoring of a footbridge using Echo State Networks and NARMAX. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 152-163, vol. 64. link> doi> full text>
  • Quincey ED, Turner M, Williams N, Kyriacou T. 2016. Learner Analytics; The Need for User-Centred Design in Learning Analytics. EAI Endorsed Transactions on Ambient Systems, Article 9, vol. 16. doi> link> full text>
  • de Quincey EJ, Kyriacou T, Turner M. 2016. Data Mining for Learning Analytics; does lack of engagement always mean what we think it does?. Journal of Academic Development and Education, Article 6. full text>
  • Blana D, Kyriacou T, Lambrecht JM, Chadwick EK. 2016. Feasibility of using combined EMG and kinematic signals for prosthesis control: A simulation study using a virtual reality environment. J Electromyogr Kinesiol, 21-27, vol. 29. link> doi> full text>
  • Kouzouna A, Gilchrist FJ, Ball V, Kyriacou T, Henderson J, Pandyan AD, Lenney W. 2016. A systematic review of early life factors which adversely affect subsequent lung function. Paediatr Respir Rev, 67-75, vol. 20. link> doi> full text>
  • de Quincey E, Pantin T, Kyriacou T, Williams N. 2014. Potential of Social Media to Determine Hay Fever Seasons and Drug Efficacy. Planet@ Risk, Article 4, vol. 2.
  • Kyriacou T. 2012. Using an evolutionary algorithm to determine the parameters of a biologically inspired model of head direction cells. Journal of Computational Neuroscience, 281-295, vol. 32(2). link>
  • Major L, Kyriacou T, Brereton P. 2011. Systematic Literature Review: Teaching Novices Programming Using Robots. IET Software. doi> full text>
  • Kyriacou T. 2011. Using an Evolutionary Algorithm to Determine the Parameters of a Biologically Inspired Model of Head Direction Cells. Journal of Computational Neuroscience. doi>
  • Nehmzow U, Melhuish C, Witkowski M, Kyriacou T. 2010. "Towards Autonomous Robotic Systems" (TAROS) - The UK conference on intelligent, autonomous robotics. ROBOTICS AND AUTONOMOUS SYSTEMS, 227-228, vol. 58(3). link> doi>
  • Iglesias R, Kyriacou T, Nehmzow U, Billings SA. 2007. Task Identification and Characterisation in Mobile Robotics through Non-Linear Modelling. Robotics and Autonomous Systems, 267-275, vol. 55. doi>
  • Nehmzow U, Akanyeti O, Weinrich C, Kyriacou T, Billings SA. 2007. Robot programming by demonstration through system identification. Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on, 801–806.
  • Nehmzow U, Akanyeti O, Weinrich C, Kyriacou T, Billings SA. 2007. Robot programming by demonstration through system identification. Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on, 801-806.
  • Iglesias R, Kyriacou T, Nehmzow U, Billings SA. 2007. Task Identification and Characterisation in Mobile Robotics through Non-Linear Modelling. Robotics and Autonomous Systems, 267–275, vol. 55.
  • Akanyeti O, Kyriacou T, Nehmzow U, Iglesias R, Billings SA. 2007. Visual Task Identification and Characterisation Using Polynomial Models. Robotics and Autonomous Systems, 711-719, vol. 55.
  • Nehmzow U, Iglesias R, Kyriacou T, Billings S. 2006. Robot Learning Through Task Identification. Robotics and Autonomous Systems, 66-778, vol. 54.
  • Kyriacou T, Akanyeti O, Nehmzow U, Iglesias R, Billings S. 2006. Visual task identification using polynomial models. Proc. Towards Autonomous Robotic Systems, Taros.
  • Kyriacou T, Nehmzow U, Iglesias R, Billings S. 2005. Task Characterisation and Cross-Platform Programming Through System Identification. Advanced Robotic Systems, 317-324, vol. 2.
  • Kyriacou T, Bugmann G, Lauria S. 2005. Vision-Based Urban Navigation Procedures for Verbally Instructed Robots. Robotics and Autonomous Systems (RAS), 69–80, vol. 51.
  • Kyriacou T, Bugmann G, Lauria S. 2005. Vision-Based Urban Navigation Procedures for Verbally Instructed Robots. Robotics and Autonomous Systems (RAS), 69-80, vol. 51.
  • Lauria S, Bugmann G, Kyriacou T, Klein E. 2002. Mobile Robot Programming Using Natural Language. Robotics and Autonomous Systems, 171–181, vol. 38.
  • Lauria S, Bugmann G, Kyriacou T, Bos J, Klein E. 2001. Training Personal Robots Using Natural Language Instruction. IEEE Intelligent Systems, 38-45, vol. 16. doi>
  • Lauria S, Bugmann G, Kyriacou T, Bos J, Klein E. 2001. Training Personal Robots Using Natural Language Instruction. IEEE Intelligent Systems, 38–45, vol. 16.

Other

  • de Quincey E, Briggs C, Kyriacou T, Waller R. 2019. Student Centred Design of a Learning Analytics System. PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE (LAK'19) (pp. 353-362). link> doi> full text>
  • Jarvis D and Kyriacou T. 2018. The Effect of Pose on the distribution of Edge Gradients in Omnidirectional Images. TAROS 2018: Towards Autonomous Robotic Systems. Springer. doi> full text>
  • Patterson KD, Kyriacou T, Desai M, Carroll WD, Gilchrist FJ. 2016. MODELING NUTRITIONAL OUTCOMES FOR INFANTS DIAGNOSED WITH CYSTIC FIBROSIS BY NEWBORN SCREENING. THORAX (pp. A131-A132, vol. 71). link> doi>
  • de Quincey E, Kyriacou T, Pantin T, ACM. 2016. #hayfever; A Longitudinal Study into Hay Fever Related Tweets in the UK. DH'16: PROCEEDINGS OF THE 2016 DIGITAL HEALTH CONFERENCE (pp. 85-89). link> doi> full text>
  • de Quincey ED and Kyriacou T. 2015. Factors for Consideration in Learning Analytics; An Investigation into Student Activity on an MLE.
  • Major L, Kyriacou T, Brereton OP. 2011. Systematic Literature Review: Teaching Novices Programming Using Robots. Evaluation and Assessment in Software Engineering (EASE 2011). Durham, UK. doi>
  • Quintía P, Iglesias R, Regueiro CV, Rodríguez M, Kyriacou T. 2012. Selecting the most relevant sensors in a wall following behavior. Workshop of Physical Agents 2012 (WAF 2012). Santiago de Compostela, Spain.
  • Moss GP, Kyriacou T, Wilkinson SC, Judd A, Gullick DR. 2012. Modelling of absorption across skin and silicone membranes using non-linear auto-regressive moving average with exogenous input (NARMAX) methods. INTERNATIONAL JOURNAL OF COSMETIC SCIENCE (p. 377, vol. 34). link>
  • Kyriacou T, Butcher J, Day C. 2011. A Model of Head Direction Cells with Changing Preferred Head Direction. 4th International Workshop on Evolutionary and Reinforcement Learning for Autonomous Robot Systems (ERLARS 2011). Berlin, Germany.
  • Major L, Kyriacou T, Brereton P. 2011. Experiences of Prospective High School Teachers Using a Programming Teaching Tool. 11th Koli Calling International Conference on Computing Education Research (Koli Calling ’11). Finland. doi>
  • Major L, Kyriacou T, Brereton P. 2011. Simulated Robotic Agents As Tools To Teach Introductory Programming. International Technology, Education and Development Conference (INTED 2011) (pp. 3837-3846). Valencia, Spain.
  • Kyriacou T. 2011. An Implementation of a Biologically Inspired Model of Head Direction Cells on a Robot. Towards Autonomous RObotic Systems (TAROS. doi>
  • Kyriacou T, Iglesias R, Rodriguez M, Quintia P. 2010. Unsupervised Complexity Reduction of Sensor Data for Robot Learning and Adaptation. Towards Autonomous Robotic Systems. University of Plymouth. full text>
  • 2009. TAROS 2009 Towards Autonomous Robotic Systems. In T. Kyriacou, U. Nehmzow, C. Melhuish & M. Witkowski (Eds.).
  • Kyriacou T, Nehmzow U, Iglesias R, Billings SA. 2008. Accurate Robot Simulation Through System Identification. Robotics and Autonomous Systems (p. 1082–1093, vol. 56). doi>
  • Kyriacou T, Styles P, Toon S. 2008. Robot Localization Using Seismic Signals. TAROS 2008 Towards Autonomous Robotic Systems. Edinburgh, United Kingdom.
  • Akanyeti O, Kyriacou T, Nehmow U, Iglesias R, Billings SA. 2007. Visual task identification and characterization using polynomial models. ROBOTICS AND AUTONOMOUS SYSTEMS (pp. 711-719, vol. 55). link> doi>
  • Nehmzow U, Akanyeti O, Weinrich C, Kyriacou T, Billings S. 2007. Learning by Observation through System Identification. Proc. "Towards Autonomous Robotic Systems", Taros (p. 17-24).
  • Akanyeti O, Nehmzow U, Weinrich C, Kyriacou T, Billings SA. 2007. Programming Mobile Robots by Demonstration through System Identification. European Conference on Mobile Robotics (ECMR) (p. 162-167).
  • Nehmzow U, Akanyeti O, Iglesias R, Kyriacou T, Billings S. 2006. Comparing Robot Controllers Through System Identification. Simulation of Adaptive Behaviour (From Animals to Animats). MIT Press.
  • Iglesias R, Kyriacou T, Nehmzow U, Billings S. 2006. Route training in mobile robotics through system identification. ICCI 2006, Enformatika Journal (vol. 15).
  • Iglesias R, Nehmzow U, Kyriacou T, Billings S. 2006. Training and analysis of mobile robot behaviour through system identification. CURRENT TOPICS IN ARTIFICIAL INTELLIGENCE (pp. 470-479, vol. 4177). link>
  • Kyriacou T. 2004. Vision-Based Urban Navigation Procedures for Verbally Instructed Robots. doi>
  • Kyriacou T, Nehmzow U, Iglesias R, Billings S. 2005. Cross-Platform Programming Through System Identification,. Towards Autonomous Robotic Systems (TAROS).
  • Iglesias R, Nehmzow U, Kyriacou T, Billings S. 2005. Modelling and characterisation of a mobile robot’s operation. Proc. CAEPIA 2005, 11th Conference of the Spanish association for Artificial Intelligence.
  • Iglesias R, Kyriacou T, Nehmzow U, Billings S. 2005. Robot programming through a combination of manual training and system identification.
  • Nehmzow U, Kyriacou T, Iglesias R, Billings S. 2005. Self-Localisation Through System Identification. European Conference on Mobile Robotics.
  • Nehmzow U, Kyriacou T, Iglesias R, Billings S. 2004. RobotMODIC: Modelling, Identification and Characterisation of Mobile Robots. "Towards Autonomous Robotic Systems" (Taros).
  • Iglesias R, Kyriacou T, Nehmzow U, Billings S. 2004. Task Identification and Characterisation in Mobile Robotics.
  • Lauria S, Bugmann G, Kyriacou T, Klein E. 2002. Mobile Robot Programming Using Natural Language. Robotics and Autonomous Systems (pp. 171-181, vol. 38). doi>
  • Lauria S, Bugmann G, Kyriacou T, Bos J, Klein E. 2002. Converting Natural Language Route Instructions into Robot Executable Procedures.
  • Robinson P, Bugmann G, Kyriacou T, Culverhouse P, Norman M. 2002. MIROSOT: A teaching and learning tool. In KRS. Association (Ed.).
  • Kyriacou T, Bugmann G, Lauria S. 2003. Vision-Based Urban Navigation Procedures for Verbally Instructed Robots.
  • Kyriacou T, Bugmann G, Lauria S. 2002. Vision-Based Urban Navigation Procedures for Verbally Instructed Robots.
  • Lauria S, Bugmann G, Kyriacou T, Klein E. 2001. Instruction Based Learning: how to instruct a personal robot to find HAL.
  • Bugmann G, Lauria S, Kyriacou T, Klein E, Bos J, Coventry K. 2001. Using Verbal Instructions for Route Learning: Instruction Analysis.

Research themes

School of Computing and Mathematics
Keele University
Staffordshire
ST5 5AA