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  3. Dr. Aladdin AYESH

Dr. Aladdin AYESH

Aladdin AYESH

Dr. Aladdin AYESH

Visiting professor in Artificial Intelligence | Professor of Artificial Intelligence, De Montfort University (Leicester)
Field(s) of expertise
Artificial Intelligence, Mobile Cognitive Systems, Data Analytics, Business Intelligence

Professor Aladdin Ayesh, MSc (Essex, 1996), PhD (LJMU, 2000), is a Professor of Artificial Intelligence at De Montfort University in UK.

His current research focuses on Computational Cognition, Machine Learning, Text Analytics and their applications in Cyber-Physical Systems.

He has over 140 publications and has supervised 21 PhD projects to successful completion.

Prof. Ayesh supervised researchers using various AI techniques, e.g. swarm intelligence algorithms and predictive analytics, to solve wide range of real-world challenges, such as those found in network routing, energy efficiency, location-services etc.

Recently, his projects’ focus shifted to the use of AI techniques for network security and data privacy, in the light of increasing CPS domestic applications.

Prof. Ayesh has collaborated with an international network of academic and industrial partners.

He is a founding editor of four international journals, chaired several international conferences, and is also a member of several AI related IEEE Standards working groups.

YearInstitutionDiploma/Position
2019

Higher Education Academy

Senior Fellow of the Higher Education Academy (SFHEA)
2009IEEESenior Member of IEEE (SMIEEE)
2009BCS, The Chartered Institute for ITFellow of British Computer Society (FBCS)
2006Engineering CouncilChartered Engineer (CEng), Engineering Council UK
2004 - 2006American University of London (AUoL)Master of Arts, Psychology
2004BCS, The Chartered Institute for ITCharted IT Practitioner (CITP), British Computer Society (BCS)
1995 - 2000Liverpool John Moores UniversityPhD Computer Science (AI)
1994 - 1996University of EssexMaster of Science, Computer Science (AI)
YearPosition
2020 - PresentVisiting professor, Artificial InteIligence - aivancity
2019 - PresentProfessor of Artificial Intelligence - De Montfort University (UK)
2015 - 2017Faculty Head of Research Students (FHRS), Deputising for Associate Dean of Research and Innovation (formerly Faculty Head of Research and Innovation) - Faculty of Technology
2014 - 2019Head of Mobile Cognitive Systems research group - Faculty of Technology
2012 - 2013International Activities Manager (Middle East) - Faculty of Technology
2010 - 2019Reader in Artificial Intelligence - De Montfort University (UK)
2010 - 2015Erasmus Coordinator - Faculty of Technology
2009 - 2012Publications Officer, Committee Member, AISB10 Convention Chair - AISB
2008 - 2016Visiting professorships
2006 - 2007Committee Member - IEEE SMC (UK)
2006External Examiner on PG program validation panel - University of West England
2005 - 2009Head of Intelligent Mobile Robots and Creative Computing research group - Faculty of Technology
2005 - 2007Young Professional Group (ypg) Representative - BCS
2005External Examiner on UG program validation panel -Liverpool John Moore University
2004 - 2006Deputy course leader of MSc Computational Intelligence and Robotics - Faculty of Technology
2003 - 2006Robotics Lab Manager - Faculty of Technology
2001 - 2010Senior Lecturer in AI and Robotics - De Montfort University (UK)
2001 - 2006Developing and supporting mobile robots and intelligent agents curriculum and subject for specialist (BSc and MSc) and non-specialist courses (undergraduate courses using robots) - Faculty of Technology
1998 - 2001Lecturer in Computer Science - De Montfort University (UK)
1995 - 1998Teaching Assistant - School of Computing and Mathematical Sciences, Liverpool John Moores University, Liverpool, (UK)
1994 - 1995Tutor Assistant - Dept. of Computer Science, University of Essex (UK)
1993 - 2001Analyst programmer, software and multimedia consultant - Business Bridge initiative at Liverpool John Moores University and then through De Montfot Expertise Ltd (DMEL)
2008Invited researcher - Le Havre Université (France), Hokkaido University (Japan)

Journal Papers

  • 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-Herrae ́z, M., and Arnau-Gonza ́lez, P. (2018). SOM-Based Class Dis- covery for Emotion Detection Based on 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 Behavior (MADB) Model in E-Learning and the 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 swarmed sensors 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 Associative Clas- sification 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: Case study on AIBO Dog Robots for Buddy-ing 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 The Percep- tions 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). Arabic Language in the Context of Information Extraction Task. 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 Optimization 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 for 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 for Reactive and Proactive Routing Protocols in Mobile Adhoc Networks. Journal of Intelligent Computing, 1(1): 20–29.
  • AlZahrani, S., Ayesh, A., and Zedan, H. (2009). Multi-agent Based Dynamic e-Learning Envi- ronment. International Journal of Information Technology and Web Engineering (IJITWE), 4, issue 2: 61–77.
  • Ayesh, A. (2009). 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). Swarms-Based Emotions Modelling. Int. J. Bio-Inspired Computation, 1(Issue 1/2): 118–124.
  • Mun ̃oz Salinas, R., Aguirre, E., Garc ́ıa-Silvente, M., Ayesh, A., and Go ́ngora, 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). Optimizing the Communication Distance of an Ad hoc Wireless Sensor Networks by 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-existed 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 Opti- mization. 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 Network for Extracting Arabic Word Roots. WSEAS Transactions on Computers, 5(11): 2623–2627.
  • Ayesh, A. (2003). Guest editorial: Perception and Emotion Based Reasoning Special Issue. 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 Learner’s 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 Automa-tion for Manufacturing Processes: An Intelligent Business Modeling Using Adaptive Neuro-Fuzzy Infer- ence 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 Pro- cessing. Springer, pp. 191 – 208. Print ISBN 978-1-4471-4865-4 Online ISBN 978-1-4471-4866-1.
  • Arevalillo-Herra ́ez, M., Arnau, D., Gonza ́lez-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 Sciemce + Busines 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 En- vironment. In G. Alkhatib (Ed.), Web Engineered Applications for Evolving Organizations: Emerging Knowledge. IGI Global, pp. 142–158.
  • Nikolaev, P. and Ayesh, A. (2011). Combined Course Programmes Generation in Multi-agent e- Learning System using Policy-based HTN planning. In Lecture Notes in Computer Science (including subseries 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 ex- tracting 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.

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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 modeling of dynamic behaviors (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, July 25, 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 Com- puting 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 mindstorm robots: Controller and Sensors. PC Plus, 215.
  • Ayesh, A. (2004). LEGO mindstorm 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). Starting out: the basics and tools of robot programming using LEGO robot kit. PC Plus, 214.