Projects per year
Personal profile
Biography
I am a Professor (Human-Centred Data Intelligence) in Computer Science and the Programme Lead of BSc Artificial Intelligence and Data Science at The University of Northampton in the UK. I teach media technologies, artificial intelligence, and human-computer interaction. My research covers the area of human factors in multimedia, programmable networks, machine learning and immersive media. I have led a number of research and innovation projects including EPSRC-funded SDCN: Software Defined Cognitive Networking. I am an advisor for multiple academic and industry-led projects. I am Associate Editor of Springer Multimedia Systems journal and reviewer of over 10 international journals.
Research Interests
I have 15+ years of experience in:
- Human computer interaction (HCI) - human-centred design and innovation, quality of user experience, human behaviour modelling
- Immersive media - Virtual reality (VR), eye tracking and mobility in VR, multi-sensory immersive experience, social VR, VR psychiatry
- Artificial Intelligence (AI) - responsible AI, AI in digital health, AI in education, machine learning, computer vision, ethics.
- Distributed media - programmable networks, software-defined networks, adaptive streaming, QoS/QoE, objective quality assessment, subjective user study.
Supervision
Mr A. Basil, Software defined intelligent networks for fair resource allocation
Miss O. Challabi, Intelligent Route Planning Predication the Impact of Social Events on Local Traffic
Mr M. Dohan, Modelling human attention in virtual reality applications
Mr M. Khalsan, Deep Learning approach applied to Gene Expression Analysis for Cancer Prediction
Mr C. Muchibwa, Data-driven automated detection system for early detection of cataract using machine learning
Ms R. Zenki, Interactive 3D medical image segmentation for bone structures using CNN-based segmentation
Mr D. Benchaib, The creativity of meaning making within Algerians’ interactions in Facebook and LinkedIn
Mr A. Janabi, Intrusion Detection Systems in Software-Defined Networks
Teaching Interests
Programme lead:
- BSc Artificial Intelligence and Data Science
Modules lead:
- CSY3025 Artificial Intelligence
- CSY3010 Media Technology
- CSY4010 Computing Dissertation
- CSY2041 Quality and User-Centred Systems
Education/Academic qualification
PhD, Computer Science, Lancaster University
Master, (MSc) Science, Technische Universität Darmstadt
Keywords
- QA76 Computer software
Fingerprint
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- 1 Similar Profiles
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Formation of a university spin-out that delivers XR-based translational mental health solutions
1/08/24 → 31/07/25
Project: Internal Fund › Innovation and Commercialisation
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Developing AI-Powered Solutions for Inventory and Labor Management to Revolutionize Warehouse Operations
21/02/24 → 31/07/24
Project: Internal Fund › Innovation and Commercialisation
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VR_EMDR: Feasibility study of an innovative VR psychotherapy
15/01/24 → 31/07/24
Project: Internal Fund › Innovation and Commercialisation
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AIDolphin: Playing with AI dolphins – An interactive VR therapy
1/01/24 → 31/07/24
Project: Internal Fund › KE Voucher
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Advancing Machine Discernment of Linguistic Cues: A Stylometric Approach to AI-Synthesized Text Detection
Kamal, R. (PI), Eldaw, M. (CoI), Mu, M. (CoI), Crockett, R. (CoI), Howe, R. (CoI), Nugent, C. (CoI) & Cleland, I. (CoI)
27/11/23 → 31/07/24
Project: Internal Fund › Small Grants Scheme for Early Career Researchers
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An integrated information system for data management and visualisation
Mu, M. (PI) & Atkinson, N. (CoI)
1/07/22 → 30/11/22
Project: Internal Fund › Knowledge Exchange for Better Business
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Software Defined Cognitive Networking: Intelligent Resource Provisioning For Future Networks
Mu, M. (PI)
1/11/17 → 31/10/19
Project: Research › Research Council (old)
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Usability, Feasibility, and Preliminary Outcomes of VR EMDR Therapy for Specific Phobia: Mixed-Method Study
Chan, O., Mu, M., Dohan, M., Debus, A., Nicholls, D., Wallang, P. & Breen, K., 7 May 2025, (Accepted/In press) In: Mental Health and Digital Technologies. 23 p.Research output: Contribution to Journal › Article › peer-review
Open AccessFile -
Real-Walk Modelling: Deep Learning Model for User Mobility in Virtual Reality
Dohan, M., Mu, M., Ajit, S. & Hill, G., 28 Jan 2024, In: Multimedia Systems. 30, 16 p., 44.Research output: Contribution to Journal › Article › peer-review
Open AccessFile -
A Novel Fuzzy Classifier Model for Cancer Classification Using Gene Expression Data
Khalsan, M., Mu, M., Salih Al-Shamery, E., Machado, L., Ajit, S. & Opoku Agyeman, M., 17 Oct 2023, In: IEEE Access. 11, p. 115161-115178 18 p.Research output: Contribution to Journal › Article › peer-review
Open AccessFile -
Developing a Multidimensional Fuzzy Deep Learning for Cancer Classification Using Gene Expression Data
Khalsan, M., Mu, M., Al-shamery, E. S., Ajit, S., Machado, L. & Opoku Agyeman, M., 20 Dec 2023, Computer Science & Information Technology (CS & IT): 9th International Conference on Computer Science, Engineering and Applications (CSEA 2023). Wyld, D. C. & Nagamalai, D. (eds.). 23 ed. Academy and Industry Research Collaboration Center (AIRCC), Vol. 13. p. 37 - 49 13 p. (Computer Science & Information Technology (CS & IT)).Research output: Contribution to Book/Report › Chapter › peer-review
Open AccessFile -
Network as a Sensor for Smart Crowd Analysis and Service Improvement
Mu, M., 1 Mar 2023, In: IEEE Network. 37, 2, p. 144 - 152 9 p.Research output: Contribution to Journal › Article › peer-review
Open AccessFile -
Unstuck in Metaverse: Persuasive User Navigation using Automated Avatars
Mu, M. & Dohan, M., 2 Oct 2023, In: IEEE Communications Magazine. 61, 9, p. 56-62 7 p.Research output: Contribution to Journal › Article › peer-review
Open AccessFile -
A Survey of Machine Learning Approaches Applied to Gene Expression Analysis for Cancer Prediction
Khalsan, M., Machado, L., SALIH AL-SHAMERY, E., Ajit, S., Anthony, K., Mu, M. & Opoku Agyeman, M., 18 Mar 2022, In: IEEE Access.Research output: Contribution to Journal › Article › peer-review
Open AccessFile -
Deep-learning based recommenders for the improved user navigation in VR
Dohan, M., Mu, M., Ajit, S., A. Al-Assadi, T., Hill, G. & Mauthe, A., 21 Apr 2022, (Accepted/In press) ACM International Conference on Interactive Media Experiences (ACM IMX 2022). Association for Computing Machinery (ACM)Research output: Contribution to Book/Report › Conference Contribution › peer-review
Open AccessFile
Datasets
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User Attention and Behaviour in Virtual Reality Art Encounter
Mu, M. (Creator) & Dohan, M. (Creator), GitHub, 2021
https://github.com/UoN-VR/MTAP_Data_and_Experiment/tree/main/Data
Dataset
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Dataset for Community Generated VR Painting using Eye Gaze
Mu, M. (Creator) & Dohan, M. (Creator), Figshare, 8 Feb 2021
https://figshare.com/articles/dataset/Explore_Virtual_Reality_Painting_with_Eye_Gaze/15090309
Dataset
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User mobility data of an AI virtual navigation system
Dohan, M. (Creator) & Mu, M. (Creator), GitHub, 26 May 2022
https://github.com/Murtada100/EyeVRDataset
Dataset
Activities
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Ghaith Al-Tameemi PhD Viva Voce Chair
Farini, F. (Examiner), Mu, M. (Examiner) & Khan, A. (Examiner)
14 Aug 2024Activity: Examinations › Examination › Research
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ACM Multimedia 2022 Open Source Software Competition (Event)
Mu, M. (Member)
10 Oct 2022 → 14 Oct 2022Activity: Membership of a Board, Committee, Council or Network › Membership of committee › Research
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Keynote: Powering up VR applications with eye gaze and mobility tracking
Mu, M. (Author)
6 Sept 2022Activity: Academic Talks or Presentations › Keynote › Research
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IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2022
Mu, M. (Member of programme committee)
4 Dec 2022 → 7 Dec 2022Activity: Organising a conference or workshop › Research
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Faculty research seminar: Grab your attention with AI – Next steps for VR
Mu, M. (Author)
6 Jul 2022Activity: Academic Talks or Presentations › Seminar/Workshop › Research
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ACM International Conference on Multimedia 2022 (Event)
Mu, M. (Chair)
10 Oct 2022 → 14 Oct 2022Activity: Membership of a Board, Committee, Council or Network › Membership of committee › Research
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ACM Multimedia Asia 2021
Mu, M. (Member of programme committee)
2021Activity: Organising a conference or workshop › Research
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IFIP Networking 2021
Mu, M. (Member of programme committee)
2021Activity: Organising a conference or workshop › Research
Press/Media
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The School of Science and Technology has recently received HEFCE funding to purchase the latest Hewlett-Packard SDN lab equipment for teaching purposes and Northampton is one of only three universities to have such facilities.
Al-Sherbaz, A., Mu, M., Kanakis, T. & Opoku Agyeman, M.
23/03/16
1 Media contribution
Press/Media