Dr Muneeb Ahmad

Lecturer, Computer Science

+44 (0) 1792

m.i.ahmad@swansea.ac.uk

Available For Postgraduate Supervision

About

Dr. Muneeb Ahmad joined the Department of Computer Science as Lecturer at Swansea University in 2020. His research focuses on employing methods from the field of human-centred design to create intelligent interactive systems such as social robots, and user interfaces that can adapt to users through real-time analysis of their social signals and physiological data. He is interested in the applications of machine learning to implement intelligent interactive systems. The work further involves evaluation of these interactive systems to study their impact on human behaviour mainly to see their level of social engagement, cognitive load, perceived trust, and performance. Prior to joining Swansea University, He has worked as a Research Associate at the Edinburgh Centre for Robotics in the Department of Computer Science at the Heriot-Watt University on the EPSRC ORCA-Hub project, where he led the development of a measurement of Cognitive load in the Human-Robotic/Computer Interaction.

Areas Of Expertise

Human-Robot Interaction,
Human-Computer Interaction,
Human-Agent Interaction,
AI/Machine Learning for Human-Robot Interaction

Publications

Research Highlights

Lohan, K., Ahmad, M., Dondrup, C., Ardón, P., Pairet, È., & Vinciarelli, A. (2020). Adapting Movements and Behaviour to Favour Communication in Human-Robot Interaction. Modelling Human Motion (pp. 271-297). Springer International Publishing
https://doi.org/10.1007/978-3-030-46732-6_13, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57767
Mubin, O., Wijayarathne, J., Ahmad, M., Ginige, A., & Hewapathirana, R. (2016). Using Persuasive Mobile Apps to Enhance Children's Health and Well Being. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing SystemsACM.
https://doi.org/10.1145/2851581.2892447, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57766
Ahmad, M., Mubin, O., & Orlando, J. (2016). Understanding Behaviours and Roles for Social and Adaptive Robots In Education. In Proceedings of the Fourth International Conference on Human Agent Interaction (pp. 297-304). ACM.
https://doi.org/10.1145/2974804.2974829, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57765
Ahmad, M., Mubin, O., & Orlando, J. (2016). Children views' on social robot's adaptations in education. In Proceedings of the 28th Australian Conference on Computer-Human Interaction - OzCHI '16 (pp. 145-149). ACM Press.
https://doi.org/10.1145/3010915.3010977, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57764
Ahmad, M., Shahid, S., & Tahir, A. (2017). Towards the Applicability of NAO Robot for Children with Autism in Pakistan. In Human-Computer Interaction – INTERACT 2017 (pp. 463-472). Springer International Publishing.
https://doi.org/10.1007/978-3-319-67687-6_32, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57763

All Research

Journal Articles

Ahmad, M., Gao, Y., Alnajjar, F., Shahid, S., & Mubin, O. (2021). Emotion and memory model for social robots: a reinforcement learning based behaviour selection. Behaviour & Information Technology, 2021, 1-27.
https://doi.org/10.1080/0144929x.2021.1977389, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57746
Mubin, O., Cappuccio, M., Alnajjar, F., Ahmad, M., & Shahid, S. (2020). Can a robot invigilator prevent cheating?. AI & SOCIETY, 35(4), 981-989.
https://doi.org/10.1007/s00146-020-00954-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57756
Ahmad, M., Keller, I., Robb, D., & Lohan, K. (2020). A framework to estimate cognitive load using physiological data. Personal and Ubiquitous Computing, 0
https://doi.org/10.1007/s00779-020-01455-7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56610
Ahmad, M., Mubin, O., Shahid, S., & Orlando, J. (2019). Robot’s adaptive emotional feedback sustains children’s social engagement and promotes their vocabulary learning: a long-term child–robot interaction study. Adaptive Behavior, 27(4), 243-266.
https://doi.org/10.1177/1059712319844182, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57754
Mubin, O., Tejlavwala, D., Arsalan, M., Ahmad, M., & Simoff, S. (2018). An assessment into the characteristics of award winning papers at CHI. Scientometrics, 116(2), 1181-1201.
https://doi.org/10.1007/s11192-018-2778-7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57757
Ahmad, M., Mubin, O., & Orlando, J. (2017). Adaptive Social Robot for Sustaining Social Engagement during Long-Term Children–Robot Interaction. International Journal of Human–Computer Interaction, 33(12), 943-962.
https://doi.org/10.1080/10447318.2017.1300750, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55334
Ahmad, M., Mubin, O., & Orlando, J. (2017). A Systematic Review of Adaptivity in Human-Robot Interaction. Multimodal Technologies and Interaction, 1(3), 14
https://doi.org/10.3390/mti1030014, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55333
Mubin, O., Mahmud, A., & Ahmad, M. (2017). HCI down under: reflecting on a decade of the OzCHI conference. Scientometrics, 112(1), 367-382.
https://doi.org/10.1007/s11192-017-2293-2, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57755

Book Chapters

Lohan, K., Ahmad, M., Dondrup, C., Ardón, P., Pairet, È., & Vinciarelli, A. (2020). Adapting Movements and Behaviour to Favour Communication in Human-Robot Interaction. Modelling Human Motion (pp. 271-297). Springer International Publishing
https://doi.org/10.1007/978-3-030-46732-6_13, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57767

Conference Contributions

Ahmad, M., Robb, D., Keller, I., & Lohan, K. (2020). Towards a Multimodal Measure for Physiological Behaviours to Estimate Cognitive Load. In International Conference on Human-Computer Interaction: Engineering Psychology and Cognitive Ergonomics. Mental Workload, Human Physiology, and Human Energy (pp. 3-13). Springer International Publishing.
https://doi.org/10.1007/978-3-030-49044-7_1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57758
Robb, D., Ahmad, M., Tiseo, C., Aracri, S., McConnell, A., Page, V., Dondrup, C., Garcia, F., Nguyen, H., Pairet, È., Ramírez, P., Semwal, T., Taylor, H., Wilson, L., Lane, D., Hastie, H., & Lohan, K. (2020). Robots in the Danger Zone: Exploring Public Perception through Engagement. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (pp. 93-102). ACM.
https://doi.org/10.1145/3319502.3374789, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57759
Ahmad, M. & Mubin, O. (2018). Emotion and Memory Model to Promote Mathematics Learning - An Exploratory Long-term Study. In Proceedings of the 6th International Conference on Human-Agent Interaction (pp. 214-221). ACM.
https://doi.org/10.1145/3284432.3284451, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57760
Mubin, O., Ahmad, M., Kaur, S., Shi, W., & Khan, A. (2018). Social Robots in Public Spaces: A Meta-review. In Social Robotics (pp. 213-220). Springer International Publishing.
https://doi.org/10.1007/978-3-030-05204-1_21, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57761
Mubin, O., Manalo, M., Ahmad, M., & Obaid, M. (2017). Scientometric Analysis of the HAI Conference. In Proceedings of the 5th International Conference on Human Agent Interaction-45). ACM.
https://doi.org/10.1145/3125739.3125747, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57762
Ahmad, M., Shahid, S., & Tahir, A. (2017). Towards the Applicability of NAO Robot for Children with Autism in Pakistan. In Human-Computer Interaction – INTERACT 2017 (pp. 463-472). Springer International Publishing.
https://doi.org/10.1007/978-3-319-67687-6_32, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57763
Ahmad, M., Mubin, O., & Orlando, J. (2016). Children views' on social robot's adaptations in education. In Proceedings of the 28th Australian Conference on Computer-Human Interaction - OzCHI '16 (pp. 145-149). ACM Press.
https://doi.org/10.1145/3010915.3010977, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57764
Ahmad, M., Mubin, O., & Orlando, J. (2016). Understanding Behaviours and Roles for Social and Adaptive Robots In Education. In Proceedings of the Fourth International Conference on Human Agent Interaction (pp. 297-304). ACM.
https://doi.org/10.1145/2974804.2974829, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57765
Mubin, O., Wijayarathne, J., Ahmad, M., Ginige, A., & Hewapathirana, R. (2016). Using Persuasive Mobile Apps to Enhance Children's Health and Well Being. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing SystemsACM.
https://doi.org/10.1145/2851581.2892447, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57766

Supervision

Measuring Trust in Real-time During Human-Robot Interaction (current)

PhD

Other supervisor: Dr Simon Robinson

Taught Modules

CSCM39 Human Computer Interaction

This module gives an overview on the main topics in Human Computer Interaction and helps students understand research and research processes in Human Computer Interaction. Students explore the advanced literature and research results underpinning the field of HCI. Classic papers and controversies are covered, as well as recent work from the leading figures. Students achieve a clear view of the 'cutting edge' and issues in the field and where things are happening. The module is very interactive, and students will be expected to give presentations.

Dr Muneeb Ahmad

Telephone number

Email address

Twitter Account