ºÚÁÏÍø

An awarding winning academic & lecturer, with research interests and expertise associated to Artificial Intelligence; Computational Intelligence; Machine Learning, Fuzzy Logic; Grey Theory and Rough Sets. A proud product of ºÚÁÏÍø, BSc (2009); MSc (2011); and PhD (2017). Personification of De Montfort and what it can produce.

Proven success in developing and overseeing academic programmes, partnerships, policies, and initiatives that promote student growth, achievement, and post-graduation employability. Well versed business acumen with vast directorship experience, influential and motivational. Leadership experience in both research and teaching, delivering award winning learning with commitment to a Universal Design for Learning.

Academic and business expertise and ability to develop, implement, and translate continuous improvement into effective plans and strategies. Possess an inspirational, visionary perspective of the student lifecycle; track record of personal academic achievement; experience of delivering sustainable change.

Collaborative communicator able to cultivate internal and external partnerships, lead trends and approaches to solve future challenges, create opportunities, and champion bold, forward & innovative thinking. Internationally recognised research output with a global evolving research network. Intrinsic understanding of the sector and the Higher Education landscape. Innovator of research and pragmatic developer of new paradigm extensions and enhancements.

Effective and successful business analytical skills and knowledge-base, catering for national and international success & recognition. A proven track record of achievement with a commitment to innovation, leaving a lasting legacy that exemplifies professionalism. 

Institute of Artificial Intelligence (IAI)

International Journals

• A. S. Khuman, “The Similarities and Divergences Between Grey and Fuzzy Theory”, Expert Systems with Applications, [2021]
• A. S. Khuman, Y. Yang, R. John, “The Quantification of Perception Based Uncertainty Using R-fuzzy Sets andGrey Analysis”, Expert Systems with Applications 136, pp.201-216 [2019]
• M. D. Terry, A. S. Khuman, K. Owa, “Spatio-Temporal Patterns act as Computational Mechanisms governingEmergent Behaviour in Robotic Swarms”, International Journal of Swarm Intelligence and Evolutionary Computation, 8 (1):175 [2019]
• A. S. Khuman, Y. Yang, R. John, “Quantification of R-fuzzy sets”, Expert Systems with Applications 55,pp.374-387 [2016]
• A. S. Khuman, Y. Yang, S. Liu, “Grey Relational Analysis and Natural Language Processing to: Grey Language Processing”, Journal of Grey System 28(1), pp.88-97 [2016]

Books

• T. Chen, A. S. Khuman, J. Carter, M. Mahmud, Artificial Intelligence in Healthcare: Recent Applications and Developments, Springer, eBook ISBN 978-981-19-5272-2, Hardcover ISBN 978-981-19-5271-5 [2022]
• Y. Yang, A. S. Khuman, S. Liu, Grey Systems in Applications, To be published, CRC Taylor and Francis Group [2022]
• J. Carter, A. S. Khuman, F. Chiclana, T. Chen, Fuzzy Logic: Recent Applications and Developments, Springer Springer International Publishing, eBook ISBN 978-3-030-66474-9, Hardcover ISBN 978-3-030-66473-2  [2021]

Book Chapters

• Y. Yang, A. S. Khuman, Liu. S, Grey systems and uncertainty modelling, Yang, Y. and Liu, S. (Eds.) Emerging studies and applications of grey systems, Singapore: Springer, pp. 59-80
• N. Lloyd, A. S. Khuman, AI in Healthcare: Malignant or Benign?, T. Chen, A. S. Khuman, J. Cater, M. Mahmud (eds) Artificial Intelligence in Healthcare. Brain Informatics and Health, Springer, Online ISBN 978-981-19-5272-2 [2022]
• J. N. Morden, A. S. Khuman, A Fuzzy Logic Approach to a Hybrid Lexicon-Based Sentiment Analysis Detection Tool Using Healthcare Covid-19 News Articles, T. Chen, A. S. Khuman, J. Cater, M. Mahmud (eds) Artificial Intelligence in Healthcare. Brain Informatics and Health, Springer, Online ISBN 978-981-19-5272-2 [2022]
• N. Mitchel, T. Mullholland, A. S. Khuman, Using Fuzzy Logic to Diagnose Blood Pressure, T. Chen, A. S. Khuman, J. Cater, M. Mahmud (eds) Artificial Intelligence in Healthcare. Brain Informatics and Health, Springer, Online ISBN 978-981-19-5272-2 [2022]
• K. Mackaite, A. S. Khuman, Risk Detection of Heart Disease, T. Chen, A. S. Khuman, J. Cater, M. Mahmud (eds) Artificial Intelligence in Healthcare. Brain Informatics and Health, Springer, Online ISBN 978-981-19-5272-2 [2022]
• J. A. Marsh, A. S. Khuman, A Fuzzy Logic Risk Assessment System for Type 2 Diabetes, T. Chen, A. S. Khuman, J. Cater, M. Mahmud (eds) Artificial Intelligence in Healthcare. Brain Informatics and Health, Springer, Online ISBN 978-981-19-5272-2 [2022]
• D. H. Maia, A. S. Khuman, A Mamdani Fuzzy Logic Inference System to Estimate Project Cost, In: Carter J.,Chiclana F., Khuman A.S., Chen T. (eds) Fuzzy Logic: Recent Applications and Developments, Springer, Cham,pp.145-163. ISBN: 978-3-030-66474-9 [2021]
• A. Hubble, J. Moorin, A. S. Khuman, Artificial Intelligence in FPS Games: NPC Difficulty Effects on Gameplay, In: Carter J., Chiclana F., Khuman A.S., Chen T. (eds) Fuzzy Logic: Recent Applications and Developments, Springer,Cham, pp.165-190. ISBN: 978-3-030-66474-9 [2021]
• N. Lloyd, A. S. Khuman, Adaptive Cruise Control Using Fuzzy Logic, In: Carter J., Chiclana F., Khuman A.S., ChenT. (eds) Fuzzy Logic: Recent Applications and Developments, Springer, Cham, pp.191-219. ISBN: 978-3-030-66474-9 [2021]
• S. Hughes, A. S. Khuman, Automatic Camera Flash Using a Mamdani Type One Fuzzy Inference System, In:Carter J., Chiclana F., Khuman A.S., Chen T. (eds) Fuzzy Logic: Recent Applications and Developments, Springer,Cham, pp.221-233. ISBN: 978-3-030-66474-9 [2021]
• S. Deane, A. S. Khuman, The Application of Fuzzy Logic in Determining Outcomes of eSports Events, In:Carter J., Chiclana F., Khuman A.S., Chen T. (eds) Fuzzy Logic: Recent Applications and Developments, Springer,Cham, pp.235-252. ISBN: 978-3-030-66474-9 [2021]
• W. Chapman, A. S. Khuman, Water Carbonation Fuzzy Inference System, In: Carter J., Chiclana F., KhumanA.S., Chen T. (eds) Fuzzy Logic: Recent Applications and Developments, Springer, Cham, pp.253-270. ISBN:978-3-030-66474-9 [2021]
• A. S. Khuman, Transnational Higher Education in Computing Courses, Transnational Higher Education in Computing Courses: Experiences and Reflections, Chapter 15: The Importance of Transnational Education andInternational Engagement for Future Collaborations, Springer, ISBN: 978-3-030-28251-6 [2019]
• A. S. Khuman, Higher Education Computer Science, A Manual of Practical Approaches, Chapter 10: Fostering Inclusivity Through Dynamic Teaching Practices, Springer, ISBN: 978-3-319-98589-3 [2018]

Conference Proceedings 

• J. Morden, A. S. Khuman, A. Fasanmade, A. Al-Bayatti, M. Lakoju, “Predicting Social Engineering SecurityThreats Using Fuzzy Logic”, Conference Proceedings of the 2020 Developments in eSystems Engineering (DeSE) [2020]
• A. S. Khuman, Y. Yang, “An R-fuzzy and Grey Analysis Framework”, International Conference on Grey Systemsand Uncertainty Analysis (GSUA2018), China [2018]
• A. S. Khuman, Y. Yang, R. John, S. Liu, “R-fuzzy Sets and Grey Systems Theory”, Systems, Man, and Cybernetics(SMC), 2016 IEEE International Conference on Budapest [2016]
• A. S. Khuman, Y. Yang, R. John, S. Liu, “Quantification of Perception Clusters Using R-Fuzzy Sets and GreyAnalysis”, Grey Systems and Uncertainty Analysis (GSUA2016), International Conference on Leicester, pp.8-11 [2016]
• A. S. Khuman, Y. Yang, S. Liu, “Grey Relational Analysis and Natural Language Processing”, Grey System and Intelligent Services (GSIS), 2015 IEEE International Conference on, Leicester, pp.107-112 [2015]
• A. S. Khuman, Y. Yang, R. John, “A Significance Measure for R-fuzzy Sets”, Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on, Istanbul, pp.1-6 [2015]
• A. S. Khuman, Y. Yang, R. John, “A Commentary on Some of the Intrinsic Differences Between Grey Systemsand Fuzzy Systems”, Systems, Man, and Cybernetics (SMC), 2014 IEEE International Conference on, pp.2032-2037 [2014]
• A. S. Khuman, Y. Yang, R. John, “A New Approach to Improve the Overall Accuracy and the Filter ValueAccuracy of the GM (1,1) New-Information and GM (1,1) Metabolic Models”, Systems, Man, and Cybernetics(SMC), 2013 IEEE International Conference on, pp.1282-1287 [2013]

Selected Co-Authored Student Papers

• J. Stamford, A. S. Khuman, J. Carter, S. Ahmadi, “Pathfinding in Partially Explored Games Environments: The application of the A* Algorithm with Occupancy Grids in Unity3D”, in Computational Intelligence (UKCI)14th UK Workshop on Bradford, UK [2014]
• L. V. Critien, A. S. Khuman, J. Carter, S. Ahmadi, “A Rule Based System for Diagnosing and Treating ChronicHeart Failure”, in Computational Intelligence (UKCI) 14th UK Workshop on Bradford, UK [2014]

The R-fuzzy grey analysis framework - RfGAf.

• Artificial Intelligence
• Computational Intelligence
• Soft Computing
• Uncertainty Modelling
• Machine Learning
• Fuzzy Logic
• Grey Theory
• Rough Sets

• Fuzzy Logic and Inference Systems
• Artificial Intelligence and Simulation
• Applied Computational Modelling

PhD Computer Science  - 2017 (ºÚÁÏÍø, UK)

MSc Intelligent Systems  - 2011 (ºÚÁÏÍø, UK)

BSc (Hons) Computer Science  - 2009 (ºÚÁÏÍø, UK)

• G50052 - Artificial Intelligence: Programme Leader
• IMAT3406 - Fuzzy Logic and Knowledge Based Systems: Module Leader

• Intelligent Grey Dynamic Scheduling for Complex Products Based on Sense-Information of the 'Internet-of-Things'. The Royal Society - £12,000, Partnership with China - Nanjing University of Aeronautics and Astronautics. [Mar 2018 - Mar 2020].
• International Network on Grey Systems and its Applications. Leverhulme Trust - £124,997, Partnership with institutions from Canada, China, Romania & Spain. [Mar 2015 - Mar 2018].

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