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Dr Archie Khuman

Job: Senior Academic - Institute of Artificial Intelligence

Faculty: Computing, Engineering and Media

School/department: School of Computer Science and Informatics

Address: De Montfort University, The Gateway, Leicester, LE1 9BH

T: +44 (0)116 250 6251

E: arjab.khuman@dmu.ac.uk

W: https://www.dmu.ac.uk

 

Personal profile

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 De Montfort University, 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. 

Research group affiliations

Publications and outputs

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

  • 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]
  • Y. Yang, A. S. Khuman, S. Liu, Grey Systems in Applications, To be published, CRC Taylor and Francis Group [2021]
  • T. Chen, A. S. Khuman, J. Carter, M. Mahmud, Artificial Intelligence in Healthcare: Recent Applications and DevelopmentsTo be published, Springer International Publishing [2021]

Book Chapters

  • 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]

Key research outputs

The R-fuzzy grey analysis framework - RfGAf.

Research interests/expertise

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

Areas of teaching

  • Fuzzy Logic and Knowledge Based Systems
  • Artificial Intelligence and Simulation
  • Applied Computational Modelling

Qualifications

BSc (Hons) Computer Science  - 2009 (De Montfort University, UK)

MSc Intelligent Systems  - 2011 (De Montfort University, UK)

PhD Computer Science  - 2017 (De Montfort University, UK)

Courses taught

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

Externally funded research grants information

  • 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].

ORCID number

0000-0001-8787-7830

 Teaching, Leadership & Pedagogy

 Pedagogic Involvement, Internal & External Engagement 
 2021

School Governor - Governing Body Member, Inglehurst Junior School, Leicester

The governor role is strategic rather than operational, which involves supporting and challenging the school’s leadership team to drive school improvement.Proactive involvement in the planning of the strategic direction of the school; overseeing the financial performance of the school andensuring funding is well spent.

2021 - Present
 2021

Peer Assisted Learning Scheme (PALS) - Coordinator & Supervisor SI-PASS Certified, De Montfort University

Piloting and leading the PAL scheme within the School of Computer Science and Informatics (CSI), involving current level 5 & 6 students, creatingand presenting sessions to current level 4 students. With the sessions being programme specific covering a variety of different topics with the goalof improving student attainment and engagement. The session leads are able to share their experiences and insight with the attendees. Successfulimplementation will see the programme being rolled out to the additional faculties throughout the institute.

 2021 - Present
 2021

 Staff Mentor, De Montfort University

I am an acting mentor for staff mentees who have requested assistance via De Montfort’s Mentoring Platform. The platform allows mentees to selectpotential mentors based on their strength’s profile to provide for ongoing mentoring support. The support provided is dependant on what thementee would like support regarding.

2021 - Present
2021

Student Mentor, De Montfort University

I am also an acting mentor for student mentees who have requested assistance via De Montfort’s Dare to Mentor platform. Student mentees arepaired with mentors from different faculties and are assigned based on personal strengths which are then aligned with what the mentee would liketo mentored regarding.

2021 - Present
     
2020

Student Experience and Engagement (SEE) - Member & Advisory Member, De Montfort University

A committee formed in response to areas highlighted within the National Student Survey (NSS) focused on teaching, assessment & organisation ofprogrammes. SEE are involved with working through these challenges at module and programme level to ensure a good learning experience forstudents that promotes engagement and inclusive assessment.

2020 - Present
     
2019

Centre for Academic Innovation (CAI) - Member & Advisory Member, De Montfort University

This is a group of recognised and responsible experts with a key stake in teaching and learning undertaken within De Montfort and beyond who actas critical friends of CAI. The board meets regularly to critique and support the work of CAI and create and innovate teaching practices and pedagogicapproaches. Involved with the identification, development and dissemination of best teaching practices across the institution.

2019 - Present
2019

Pedagogic Interest Group (PIG), De Montfort University

A committee concerning itself with the Embracing Universal Design for Learning (UDL); pedagogies for different prior learning experiences; pedagogiesto improve classroom engagement and behaviour; and how to better embed entrepreneurship, creativity and innovation within the faculty ofComputing, Engineering& Media (CEM).

2019 - Present
2019

Teaching & Learning Conference - Faculty Coordinator & Organiser, De Montfort University

The conference is a chance for staff at De Montfort to meet and discuss the important issues confronting teachers and students through a wide varietyof forums and perspectives. As the faculty organiser and representative, I sat on the conference panel and decided upon the accepted presentationsand workshops.

2019 - Present
2019

Machine Learning Project - Academic Lead, De Montfort University & Flooid (née PCMS)

A tremendously successful idea transfer project involving a selected cohort of final year students, tasked with creating and applying Machine Learningsolutions for implementation into supermarket and high-street stores. Owing to my expertise and the optimisation approaches put forward, a £2.5msaving and reduction of wastage was the result. The project will continue each year with new students, providing them with invaluable real-worldexperience.

2019 - Present
2019

Education Leadership Programme, De Montfort University - £1,500

Successful acceptance onto the programme, one of only 12 places made available. Focusing on developing and supporting academic colleagues,providing them with the skills and sector experience needed to become future leaders within their departments, and also within the Higher Educationsector, nationally and internationally. Each member is also allocated with a £1,5000 research budget to be utilised accordingly.

2019 - 2020

 Honours, Awards & Recognition

Honours, Awards & Recognition

2021

VCDTA 2021, Vice Chancellor’s Distinguished Teaching Award 2021 
 2021 Session Chair, International Workshop on Computational Intelligence in Healthcare - Brain Informatics 2021
 2021 Supervisor Certified, Supplemental Instruction-Peer Assisted Study Sessions (SI-PASS)
2021 FHEA, Fellow of the Higher Education Academy
   
2020 Promoted to Senior Lecturer, Senior Lecturer in Games, Maths & Artificial Intelligence
2020 Programme Committee Member, International Conference on Information Science and Technology
2020 Editorial Board Member, Journal of Grey Systems: Theory and Application
2020 Invited Guest Speaker, University of Huddersfield
   
2019 VCDTA 2019, Vice Chancellor’s Distinguished Teaching Award 2019
2019 Invited Guest Speaker, Nanjing University of Aeronautics and Astronautics
   
2018 VCDTA 2018, Vice Chancellor’s Distinguished Teaching Award 2018
2018 TEF Gold Tour Faculty Representative, Teaching Excellence Framework Tour of Malaysia
   
2017 Invited Guest Speaker, University of Nottingham
2017 AFHEA, Associate Fellow of the Higher Education Academy
   
2016 Best Paper Award - GSUA 2016, Grey Systems and Uncertainty Analysis 2016
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