Dr Aladdin AYESH

Visiting Professor in Artificial Intelligence | Professor of Artificial Intelligence, De Montfort University (Leicester)
Dr. Aladdin AYESH

Biography

Professor Aladdin Ayesh, MSc (Essex, 1996), PhD (LJMU, 2000), is a Professor of Artificial Intelligence at De Montfort University in the UK. His current research focuses on Computational Cognition, Machine Learning, Text Analytics and their applications in Cyber-Physical Systems. He has over 140 publications to his name and has successfully supervised 21 PhD students to completion.

Professor Ayesh has supervised researchers using various AI techniques, such as swarm intelligence algorithms and predictive analytics, to tackle a wide range of real-world challenges, including those encountered in network routing, energy efficiency and location-based services. Recently, the focus of his projects has shifted to the use of AI techniques for network security and data privacy, in light of the increasing number of domestic applications of cyber-physical systems (CPS).

Prof. Ayesh has collaborated with an international network of academic and industrial partners. He is a founding editor of four international journals, has chaired several international conferences, and is also a member of several IEEE Standards working groups related to AI.

Education & Qualifications

YearUniversityQualification/Position
2019Higher Education AcademySenior Fellow of the Higher Education Academy (SFHEA)
2009IEEE Senior Member of IEEE (SMIEEE)
2009BCS, The Chartered Institute for IT Fellow of the British Computer Society (FBCS)
2006Engineering Council Chartered Engineer (CEng), Engineering Council UK
2004–2006 American University of London (AUoL) Master of Arts, Psychology
2004 BCS, The Chartered Institute for IT Chartered IT Practitioner (CITP), British Computer Society (BCS)
1995–2000 Liverpool John Moores University PhD in Computer Science (AI)
1994–1996 University of Essex Master of Science in Computer Science (AI)

Work experience

YearRole
2020 – Present Visiting Professor, Artificial Intelligence – aivancity
2019 – Present Professor of Artificial Intelligence – De Montfort University (UK)
2015–2017 Head of Research Students (FHRS), Acting Associate Dean of Research and Innovation (formerly Head of Research and Innovation) – Faculty of Technology
2014–2019 Head of the Mobile Cognitive Systems research group – Faculty of Technology
2012–2013 International Activities Manager (Middle East) – Faculty of Technology
2010–2019 Reader in Artificial Intelligence – De Montfort University (UK)
2010–2015 Erasmus Coordinator – Faculty of Technology
2009–2012 Publications Officer, Committee Member, AISB10 Convention Chair – AISB
2008–2016 Visiting professorships
2006–2007 Committee Member – IEEE SMC (UK)
2006External Examiner on the postgraduate programme validation panel – University of the West of England
2005–2009 Head of the Intelligent Mobile Robots and Creative Computing research group – Faculty of Technology
2005–2007 Young Professional Group (YPG) Representative – BCS
2005 External Examiner on the undergraduate programme validation panel – Liverpool John Moores University
2004–2006 Deputy course leader for the MSc in Computational Intelligence and Robotics – Faculty of Technology
2003–2006 Robotics Lab Manager – Faculty of Technology
2001–2010 Senior Lecturer in AI and Robotics – De Montfort University (UK)
2001–2006 Developing and supporting the curriculum and course content for mobile robots and intelligent agents, for both specialist (BSc and MSc) and non-specialist courses (undergraduate courses involving robots) – Faculty of Technology
1998–2001 Lecturer in Computer Science – De Montfort University (UK)
1995–1998 Teaching Assistant – School of Computing and Mathematical Sciences, Liverpool John Moores University, Liverpool (UK)
1994–1995 Tutor Assistant – Department of Computer Science, University of Essex (UK)
1993–2001 Analyst-programmer, software and multimedia consultant – Business Bridge initiative at Liverpool John Moores University and subsequently through De Montfort Expertise Ltd (DMEL)
2008 Visiting researcher – University of Le Havre (France), Hokkaido University (Japan)

Publications

Journal Articles

  • Lim, Y. M., Ayesh, A., and Stacey, M. (2019). Continuous Stress Monitoring under Varied Demands Using Unobtrusive Devices. International Journal of Human Computer Interaction, 0(0): 1–15.
  • Muhammad, M. A. and Ayesh, A. (2019). A Behaviour Profiling-Based Technique for Network Access Control Systems. International Journal of Cyber-Security and Digital Forensics (IJCSDF), 8(1): 23–30.
  • Ayesh, A., Arevalillo-Herraéz, M., and Arnau-González, P. (2018). SOM-Based Class Discovery for Emotion Detection Based on the DEAP Dataset. International Journal of Software Science and Computational Intelligence (IJSSCI), 10(1)(1): 15–26.
  • Shenfield, A., Day, D., and Ayesh, A. (2018). Intelligent intrusion detection systems using artificial neural networks. ICT Express, 4(2): 95–99. SI on Artificial Intelligence and Machine Learning.
  • Wang, Y., Raskin, V., Rayz, J., Baciu, G., Ayesh, A., Mizoguchi, F., Tsumoto, S., Patel, D., and Howard, N. (2018). Cognitive Computing: Methodologies for Neural Computing and Semantic Computing in Brain-Inspired Systems. International Journal of Software Science and Computational Intelligence (IJSSCI), 10 (1)(1): 1–14.
  • Alotaibi, A., Ayesh, A., and Hall, R. (2016). Managing Admission in Saudi Universities: a System Approach. International Journal of Information and Education Technology, 6(4): 314–321.
  • Ayesh, A., Arevalillo-Herra ́ez, M., and Ferri, F. J. (2016). Towards Psychologically-based Personalised Modelling of Emotions Using Associative Classifiers. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 10(2): 52–64.
  • Lim, Y., Ayesh, A., and Stacey, M. (2016). The Motivation/Attitude-driven Behaviour (MADB) Model in E-Learning and its Effects on Mouse Dynamics. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 10(3): 38–52.
  • Abdelhamid, N., Ayesh, A., and Thabtah, F. (2015). Emerging Trends in Associative Classification Data Mining. International Journal of Electronics and Electrical Engineering, 3(1): 50–53.
  • Ayesh, A. and Blewitt, W. (2015). Models for Computational Emotions from Psychological Theories Using Type I Fuzzy Logic. Cognitive Computation, 7(3): 285–308.
  • Ayesh, A. and Blewitt, W. (2015). Models for Computational Emotions from Psychological Theories Using Type-II Fuzzy Logic. Cognitive Computation, 7(3): 309–332.
  • Obaidy, M. A. and Ayesh, A. (2015). Energy-efficient algorithm for swarm-based sensor networks. Sustainable Computing: Informatics and Systems, 5: 54–63.
  • Abdelhamid, N., Ayesh, A., and Hadi, W. (2014). Multi-Label Rules Algorithm-Based Associative Classification. Parallel Processing Letters, 24(01).
  • Abdelhamid, N., Ayesh, A., and Thabtah, F. (2014). Phishing detection based on associative classification data mining. Expert Systems with Applications, 41(13): 5948–5959.
  • Alruily, M., Ayesh, A., and Zedan, H. (2014). Crime profiling for the Arabic language using computational linguistic techniques. Information Processing & Management, 50(2): 315–341.
  • Ayesh, A. (2014). Serious Gaming. ITNOW, 56(1): 60–61.
  • Ayesh, A., Joseph, C., Perril, S., and Thomas, S. (2014). Aesthetics of a Robot: A case study on AIBO dog robots for companion devices. Journal of Intelligent Computing, 5(1): 1–15.
  • Daoud, M. S., Ayesh, A., Al-Fayoumi, M., and Hopgood, A. A. (2014). Location Prediction Based on a Sector Snapshot for Location-Based Services. Journal of Network and Systems Management, 22(1): 23–49.
  • Ayesh, A. (2013). AI in Games: Can intelligence be defined as abstract mental processes or does the body we inhabit play a role in that intelligence? ITNOW, 55(4): 18–19.
  • Lim, Y. M., Chee, K. N., and Ayesh, A. (2013). Socio-Demographic Differences in Perceptions of Learning Management System (LMS) Design. International Journal of Software Engineering & Applications (IJSEA), 4(5): 15–35.
  • Abdelhak, H., Ayesh, A., and Olivier, D. (2012). Cognitive-emotional-based architecture for crowd simulation. Journal of Intelligent Computing, 3(2): 55–66.
  • Abdelhamid, N., Ayesh, A., Thabtah, F., Ahmadi, S., and Hadi, W. (2012). MAC: A Multi-class Associative Classification Algorithm. Journal of Information & Knowledge Management, 11(02): 1250011.
  • Alruily, M., Ayesh, A., and Zedan, H. (2011). The Arabic Language in the Context of Information Extraction Tasks. International Journal of Computational Linguistics Research, 2(2): 83–90.
  • Alqrainy, S., Ayesh, A., and Almuaidi, H. (2010). Automated Tagging System and Tagset Design for Arabic Text. International Journal of Computational Linguistics Research, 1(2): 55–62.
  • Ayesh, A. and Sheta, A. (2010). Editorial: Special Issue on Bio-Inspired Computation for Engineering Applications. Int. J. Bio-Inspired Computation, 2(6): 363–364.
  • Sheta, A., Ayesh, A., and Rine, D. (2010). Evaluating Software Cost Estimation Models using Particle Swarm Optimisation and Fuzzy Logic for NASA Projects: A Comparative Study. Int. J. Bio-Inspired Computation, 2(6): 365–373.
  • Zahary, A. and Ayesh, A. (2010). An Analytical Review of Multipath Routing in Mobile Ad Hoc Networks. International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), 5(2): 69–85.
  • Zahary, A. and Ayesh, A. (2010). A Comparative Study of Reactive and Proactive Routing Protocols in Mobile Ad Hoc Networks. Journal of Intelligent Computing, 1(1): 20–29.
  • AlZahrani, S., Ayesh, A., and Zedan, H. (2009). A Multi-agent-Based Dynamic e-Learning Environment. International Journal of Information Technology and Web Engineering (IJITWE), 4, issue 2: 61–77.
  • Ayesh, A. (2009). An Emotionally Expressive Music-Based Interaction Language for Social Robots. ICGST International Journal on Automation, Robotics and Autonomous Systems, 09(1): 1–10.
  • Ayesh, A. (2009). Integrative Cognitive-Causation Maps: Preliminary Report. ICGST International Journal on Artificial Intelligence and Machine Learning, AIML, 9(1): 35–40.
  • Ayesh, A. (2009). Swarm-Based Emotion Modelling. Int. J. Bio-Inspired Computation, 1(Issue 1/2): 118–124.
  • Muñoz Salinas, R., Aguirre, E., García-Silvente, M., Ayesh, A., and Góngora, M. (2009). Multi-Agent System for People Detection and Tracking Using Stereo Vision in Mobile Robots. *Robotica*, 27(05): 715–727.
  • Al-Obaidy, M., Ayesh, A., and Sheta, A. (2008). Optimising the Communication Distance of Ad Hoc Wireless Sensor Networks Using Genetic Algorithms. Artificial Intelligence Review, 29(3–4): 183–194.
  • Alkhawlani, M. and Ayesh, A. (2008). Access Network Selection Based on Fuzzy Logic and Genetic Algorithms. Advances in Artificial Intelligence, 1(1): 1–12.
  • Alkhawlani, M. and Ayesh, A. (2008). Access Network Selection for Co-existing WWAN, WMAN and WLAN Using Combined Fuzzy Logic and AHP. International Journal of Innovative Computing and Applications (IJICA), 1(4): 219–231.
  • Braik, M., Sheta, A., and Ayesh, A. (2007). Image Enhancement Using Particle Swarm Optimisation. The International Journal of Innovative Computing and Applications (IJICA), 1(2): 138–145.
  • Alqrainy, S. and Ayesh, A. (2006). Developing a Tagset for Automated POS Tagging in Arabic. WSEAS Transactions on Computers, 5(11): 2787–2792.
  • AlSerhan, H. M. and Ayesh, A. (2006). An Application of Neural Networks for Extracting Arabic Word Roots. WSEAS Transactions on Computers, 5(11): 2623–2627.
  • Ayesh, A. (2003). Guest editorial: Special Issue on Perception and Emotion-Based Reasoning. *Informatica*, 27(2): 117–118.
  • Ayesh, A. (2003). Perception and Emotion-Based Reasoning: A Connectionist Approach. *Informatica*, 27(2): 119–126.

Books and Edited Proceedings

  • Rausch, P., Sheta, A. F., and Ayesh, A. (2013). Business Intelligence and Performance Management: Theory, Systems and Industrial Applications. Advanced Information and Knowledge Processing. Springer.
  • Ayesh, A. and Geril, P. (Eds.) (2010). The 11th International Conference on Intelligent Games and Simulation (GameOn 2010). EUROSIS – The European Multidisciplinary Society for Modelling and Simulation Technology.
  • Bertelle, C., Ayesh, A., and Geril, P. (Eds.) (2008). The 22nd Annual European Simulation and Modelling Conference (ESM 2008). EUROSIS – The European Multidisciplinary Society for Modelling and Simulation Technology.
  • Ayesh, A. (2002). Essential UML Fast. Springer-Verlag, London, UK.
  • Ayesh, A. (2000). Essential Dynamic HTML Fast. Springer-Verlag, London, UK.

Book Chapters

  • Lim, Y. M., Ayesh, A., Stacey, M., and Tan, L. P. (2017). The Effects of Task Demand and External Stimuli on Learners’ Stress Perception and Job Performance. Springer Singapore, Singapore, pp. 89–101.
  • Lim, Y., Ayesh, A., and Stacey, M. (2015). The Effects of Typing Demand on Emotional Stress, Mouse and Keystroke Behaviours. In K. Arai, S. Kapoor, and R. Bhatia (Eds.), Intelligent Systems in Science and Information 2014, vol. 591 of Studies in Computational Intelligence. Springer International Publishing, pp. 209–225.
  • Lim, Y., Ayesh, A., and Stacey, M. (2015). Using Mouse and Keyboard Dynamics to Detect Cognitive Stress During Mental Arithmetic. In K. Arai, S. Kapoor, and R. Bhatia (Eds.), Intelligent Systems in Science and Information 2014, vol. 591 of Studies in Computational Intelligence. Springer International Publishing, pp. 335–350.
  • Al-Azawi, R., Ayesh, A., Kenny, I., and Al-Masruri, K. (2013). Towards an AOSE: Game Development Methodology. In S. Omatu, J. Neves, J. M. C. Rodriguez, J. F. Paz Santana, and S. R. Gonzalez (Eds.), *Distributed Computing and Artificial Intelligence*, vol. 217 of *Advances in Intelligent Systems and Computing*. Springer International Publishing, pp. 493–501.
  • Sheta, A. F., Braik, M., Oznergiz, E., Ayesh, A., and Masud, M. (2013). Design and Automation for Manufacturing Processes: An Intelligent Business Modelling Approach Using Adaptive Neuro-Fuzzy Inference Systems. In P. Rausch, A. F. Sheta, and A. Ayesh (Eds.), Business Intelligence and Performance Management: Theory, Systems and Industrial Applications, Advanced Information and Knowledge Processing. Springer, pp. 191–208. Print ISBN 978-1-4471-4865-4 Online ISBN 978-1-4471-4866-1.
  • Arevalillo-Herráez, M., Arnau, D., González-Calero, J., and Ayesh, A. (2012). Domain-Specific Knowledge Representation for an Intelligent Tutoring System to Teach Algebraic Reasoning. In *Intelligent Tutoring Systems*. Springer Berlin/Heidelberg, pp. 630–631.
  • Ayesh, A. (2012). Emotion-Based Machine Learning. In Encyclopedia of the Sciences of Learning. Springer Science + Business Media, LLC, pp. 1137–1139. Print ISBN 978-1-4419-1427-9 Online ISBN 978-1-4419-1428-6.
  • AlZahrani, S., Ayesh, A., and Zedan, H. (2011). Multi-Agent-Based Dynamic E-Learning Environment. In G. Alkhatib (Ed.), Web-Engineered Applications for Evolving Organisations: Emerging Knowledge. IGI Global, pp. 142–158.
  • Nikolaev, P. and Ayesh, A. (2011). Combined Course Programme Generation in a Multi-Agent e-Learning System using Policy-Based HTN Planning. In Lecture Notes in Computer Science (including the sub-series Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), LNAI. Springer (LNAI Series), UK, pp. 504–514.
  • Alruily, M., Ayesh, A., and Zedan, H. (2010). Automatically constructing dictionaries for extracting meaningful crime information from Arabic text. In Frontiers in Artificial Intelligence and Applications, vol. 215. IOS Press, pp. 1139–1140.
  • Ayesh, A. (2001). Thinking-Learning by Argument. In N. Zhong, J. Liu, S. Ohsuga, and J. Bradshaw (Eds.), Intelligent Agent Technology: Research and Development, chap. 31. World Scientific, New Jersey, pp. 230–234.
  • Ayesh, A. and Kelleher, G. (1998). Reasoning About Conditional Effects in Control Systems via Directed Domain Constraints. In R. W. Baines, A. Taleb-Bendiab, and Z. Zhao (Eds.), Advances in Manufacturing Technology – XII. Professional Engineering Publishing, University of Derby, UK, pp. 721–726.

Books and Edited Proceedings

  • Rausch, P., Sheta, A. F., and Ayesh, A. (2013). Business Intelligence and Performance Management: Theory, Systems and Industrial Applications. Advanced Information and Knowledge Processing. Springer.
  • Ayesh, A. and Geril, P. (Eds.) (2010). The 11th International Conference on Intelligent Games and Simulation (GameOn 2010). EUROSIS – The European Multidisciplinary Society for Modelling and Simulation Technology.
  • Bertelle, C., Ayesh, A., and Geril, P. (Eds.) (2008). The 22nd Annual European Simulation and Modelling Conference (ESM 2008). EUROSIS – The European Multidisciplinary Society for Modelling and Simulation Technology.
  • Ayesh, A. (2002). Essential UML Fast. Springer-Verlag, London, UK.
  • Ayesh, A. (2000). Essential Dynamic HTML Fast. Springer-Verlag, London, UK.

Published Reviews

  • Ayesh, A. (2012). Review of Video analytics for business intelligence. ACM Computing Review: Review #: CR140655 (1302–0090).
  • Ayesh, A. (2009). Review of *Preferences and Similarities* (1st ed.). ACM Computing Review: Review #: CR136653 (1002–0148).
  • Ayesh, A. (2008). Review of *On the notion of concept I*. ACM Computing Review: Review #: CR134211 (0804–0338).
  • Ayesh, A. (2007). Review of An introduction to knowledge engineering. ACM Computing Review: Review #: CR133988 (0804–0341).
  • Ayesh, A. (2007). Review of *Reasoning, action and interaction in AI theories and systems: essays dedicated to Luigia Carlucci Aiello* (Lecture Notes in Computer Science 4155). ACM Computing Review: Review #: CR134211 (0804–0338).
  • Ayesh, A. (2006). Review of *A Practical Theory of Reactive Systems: Incremental Modelling of Dynamic Behaviours* (Texts in Theoretical Computer Science). ACM Computing Review: Review #: CR132687 (0703–0226).
  • Ayesh, A. (2006). Review of Defence applications of multi-agent systems: International Workshop, DAMAS 2005, Utrecht, the Netherlands, 25 July 2005, Revised and Invited Papers (Lecture Notes in Artificial Intelligence). ACM Computing Review: Review #: CR133335 (0709–0865).
  • Ayesh, A. (2006). Review of DSPs for energy-harvesting sensors: applications and architectures. ACM Computing Review: Review #: CR132656 (0702–0159).
  • Ayesh, A. (2005). Review of musical form and algorithmic solutions. ACM Computing Review: Review #: CR132036 (0610–1075).
  • Ayesh, A. (2005). Review of probabilistic conditional independence structures (Information Science and Statistics). ACM Computing Review: Review #: CR131868 (0608–0791).
  • Ayesh, A. (2004). Review of Immunity-based systems. ACM Computing Review: Review #: CR129937 (0502–0199).
  • Ayesh, A. (2004). Review of Neocognitron capable of incremental learning. ACM Computing Review: Review #: CR129492 (0410–1222).
  • Ayesh, A. (2004). Review of Ontology-based distributed autonomous knowledge systems. ACM Computing Review: Review #: CR129047 (0407–0843).
  • Ayesh, A. (2004). Review of ‘Reasoning about uncertainty’. ACM Computing Review: Review #: CR129369 (0411–1325).
  • Ayesh, A. (2004). Review of ‘The concept of computability’. ACM Computing Review: Review #: CR130127 (0504–0478).

Professional Articles

  • Ayesh, A. (2009). Is it time for the Turing Test to retire? In V3 – http://www.v3.co.uk/v3-uk/opinion/1995525/is-turing-test-retire.
  • Ayesh, A. (2004). The art of Maya. PC Plus, 221.
  • Ayesh, A. (2004). LEGO Mindstorms robots: Controller and Sensors. PC Plus, 215.
  • Ayesh, A. (2004). LEGO Mindstorms Robots: Putting It All Together for a Robopet. PC Plus, 216.
  • Ayesh, A. (2004). Maya: Scripting. PC Plus, 223.
  • Ayesh, A. (2004). Maya: Setting the Scene. PC Plus, 222.
  • Ayesh, A. (2004). Getting started: the basics and tools of robot programming using the LEGO robot kit. PC Plus, 214.