![Shou-Han Zhou BA (Hons), MPhil, PhD](https://profiles-cardiff.imgix.net/attachments/6818?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Dr Shou-Han Zhou
(he/him)
BA (Hons), MPhil, PhD
- Available for postgraduate supervision
Teams and roles for Shou-Han Zhou
Lecturer (Teaching and Research)
Overview
I am a lecturer within the Department of Mechanical Engineering at Cardiff University, teaching modules in the field of control and robotics. I have a strong interest in human health dynamics and optimal control design. My work spans disciplines across health and engineering, having worked in the fields of neuroscience, control and robotics.
Publication
2024
- Wongtrakun, J., Zhou, S., Bellgrove, M. A., Chong, T. T. and Coxon, J. P. 2024. The effect of congruent vs. incongruent distractor positioning on electrophysiological signals during perceptual decision-making. The Journal of Neuroscience 44(45), article number: e2079232024. (10.1523/JNEUROSCI.2079-23.2024)
2023
- Brosnan, M. et al. 2023. Evidence accumulation rate moderates the relationship between enriched environment exposure and age-related response speed declines. The Journal of Neuroscience 43(37), pp. 6401-6414. (10.1523/JNEUROSCI.2260-21.2023)
- Cadwallader, C. J. et al. 2023. Acute exercise as a modifier of neocortical plasticity and aperiodic activity in the visual cortex. Scientific Reports 13(1), article number: 7491. (10.1038/s41598-023-34749-w)
2021
- Stefanac, N. R., Zhou, S., Spencer-Smith, M. M., O'Connell, R. and Bellgrove, M. A. 2021. A neural index of inefficient evidence accumulation in dyslexia underlying slow perceptual decision making. Cortex: A Journal devoted to the Study of the Nervous System and Behavior 142, pp. 122-137. (10.1016/j.cortex.2021.05.021)
- Zhou, S., Loughnane, G., O'Connell, R., Bellgrove, M. A. and Chong, T. T. 2021. Distractors selectively modulate electrophysiological markers of perceptual decisions. The Journal of Cognitive Neuroscience 33(6), pp. 1020–1031. (10.1162/jocn_a_01703)
2019
- McGuigan, S., Zhou, S., Brosnan, M. B., Thyagarajan, D., Bellgrove, M. A. and Chong, T. T. 2019. Dopamine restores cognitive motivation in Parkinson’s disease. Brain 142(3), pp. 719–732. (10.1093/brain/awy341)
2017
- Zhou, S., Tan, Y., Oetomo, D., Freeman, C., Burdet, E. and Mareels, I. 2017. Modeling of endpoint feedback learning implemented through point-to-point learning control. IEEE Transactions on Control Systems Technology 25(5), pp. 1576-1585. (10.1109/TCST.2016.2615083)
2016
- Zhou, S., Fong, J., Crocher, V., Tan, Y., Oetomo, D. and Mareels, I. 2016. Learning control in robot-assisted rehabilitation of motor skills--a review. Journal of Control and Decision 3(1), pp. 19-43. (10.1080/23307706.2015.1129295)
2015
- Zhou, S., Oetomo, D., Tan, Y., Mareels, I. and Burdet, E. 2015. Effect of sensory experience on motor learning strategy. Journal of Neurophysiology 113(4), pp. 1077-1084. (10.1152/jn.00470.2014)
2013
- Zhou, S., Tan, Y., Oetomo, D., Freeman, C. and Mareels, I. 2013. On on-line sampled-data optimal learning for dynamic systems with uncertainties. Presented at: 2013 9th Asian Control Conference (ASCC), Istanbul, Turkey, 23-26 June 20132013 9th Asian Control Conference (ASCC). IEEE pp. 1-7., (10.1109/ASCC.2013.6606377)
- Zhou, S., Tan, Y., Oetomo, D., Freeman, C., Burdet, E. and Mareels, I. 2013. Point-to-point learning in human motor systems. Presented at: 2013 American Control Conference, Washington, DC, USA, 17-19 June 20132013 American Control Conference. IEEE pp. 5923-5928., (10.1109/ACC.2013.6580767)
2012
- Zhou, S., Oetomo, D., Tan, Y., Burdet, E. and Mareels, I. 2012. Modeling individual human motor behavior through model reference iterative learning control. IEEE Transactions on Biomedical Engineering 59(7), pp. 1892-1901. (10.1109/tbme.2012.2192437)
2011
- Zhou, S., Oetomo, D., Mareels, I. and Burdet, E. 2011. Modelling of human motor control in an unstable task through operational space formulation. Presented at: 2010 11th International Conference on Control Automation Robotics & Vision, Singapore, 07-10 December 20102010 11th International Conference on Control Automation Robotics & Vision. IEEE pp. 2030-2035., (10.1109/ICARCV.2010.5707869)
- Zhou, S., Oetomo, D., Tan, Y., Burdet, E. and Mareels, I. 2011. Human motor learning through iterative model reference adaptive control. IFAC Proceedings Volumes 44(1), pp. 2883-2888. (10.3182/20110828-6-IT-1002.02688)
Articles
- Wongtrakun, J., Zhou, S., Bellgrove, M. A., Chong, T. T. and Coxon, J. P. 2024. The effect of congruent vs. incongruent distractor positioning on electrophysiological signals during perceptual decision-making. The Journal of Neuroscience 44(45), article number: e2079232024. (10.1523/JNEUROSCI.2079-23.2024)
- Brosnan, M. et al. 2023. Evidence accumulation rate moderates the relationship between enriched environment exposure and age-related response speed declines. The Journal of Neuroscience 43(37), pp. 6401-6414. (10.1523/JNEUROSCI.2260-21.2023)
- Cadwallader, C. J. et al. 2023. Acute exercise as a modifier of neocortical plasticity and aperiodic activity in the visual cortex. Scientific Reports 13(1), article number: 7491. (10.1038/s41598-023-34749-w)
- Stefanac, N. R., Zhou, S., Spencer-Smith, M. M., O'Connell, R. and Bellgrove, M. A. 2021. A neural index of inefficient evidence accumulation in dyslexia underlying slow perceptual decision making. Cortex: A Journal devoted to the Study of the Nervous System and Behavior 142, pp. 122-137. (10.1016/j.cortex.2021.05.021)
- Zhou, S., Loughnane, G., O'Connell, R., Bellgrove, M. A. and Chong, T. T. 2021. Distractors selectively modulate electrophysiological markers of perceptual decisions. The Journal of Cognitive Neuroscience 33(6), pp. 1020–1031. (10.1162/jocn_a_01703)
- McGuigan, S., Zhou, S., Brosnan, M. B., Thyagarajan, D., Bellgrove, M. A. and Chong, T. T. 2019. Dopamine restores cognitive motivation in Parkinson’s disease. Brain 142(3), pp. 719–732. (10.1093/brain/awy341)
- Zhou, S., Tan, Y., Oetomo, D., Freeman, C., Burdet, E. and Mareels, I. 2017. Modeling of endpoint feedback learning implemented through point-to-point learning control. IEEE Transactions on Control Systems Technology 25(5), pp. 1576-1585. (10.1109/TCST.2016.2615083)
- Zhou, S., Fong, J., Crocher, V., Tan, Y., Oetomo, D. and Mareels, I. 2016. Learning control in robot-assisted rehabilitation of motor skills--a review. Journal of Control and Decision 3(1), pp. 19-43. (10.1080/23307706.2015.1129295)
- Zhou, S., Oetomo, D., Tan, Y., Mareels, I. and Burdet, E. 2015. Effect of sensory experience on motor learning strategy. Journal of Neurophysiology 113(4), pp. 1077-1084. (10.1152/jn.00470.2014)
- Zhou, S., Oetomo, D., Tan, Y., Burdet, E. and Mareels, I. 2012. Modeling individual human motor behavior through model reference iterative learning control. IEEE Transactions on Biomedical Engineering 59(7), pp. 1892-1901. (10.1109/tbme.2012.2192437)
- Zhou, S., Oetomo, D., Tan, Y., Burdet, E. and Mareels, I. 2011. Human motor learning through iterative model reference adaptive control. IFAC Proceedings Volumes 44(1), pp. 2883-2888. (10.3182/20110828-6-IT-1002.02688)
Conferences
- Zhou, S., Tan, Y., Oetomo, D., Freeman, C. and Mareels, I. 2013. On on-line sampled-data optimal learning for dynamic systems with uncertainties. Presented at: 2013 9th Asian Control Conference (ASCC), Istanbul, Turkey, 23-26 June 20132013 9th Asian Control Conference (ASCC). IEEE pp. 1-7., (10.1109/ASCC.2013.6606377)
- Zhou, S., Tan, Y., Oetomo, D., Freeman, C., Burdet, E. and Mareels, I. 2013. Point-to-point learning in human motor systems. Presented at: 2013 American Control Conference, Washington, DC, USA, 17-19 June 20132013 American Control Conference. IEEE pp. 5923-5928., (10.1109/ACC.2013.6580767)
- Zhou, S., Oetomo, D., Mareels, I. and Burdet, E. 2011. Modelling of human motor control in an unstable task through operational space formulation. Presented at: 2010 11th International Conference on Control Automation Robotics & Vision, Singapore, 07-10 December 20102010 11th International Conference on Control Automation Robotics & Vision. IEEE pp. 2030-2035., (10.1109/ICARCV.2010.5707869)
Research
I am a robotics and control engineer specialising in health-focused autonomous systems. My research integrates expertise in mechanical engineering, control theory, and neuroscience to design advanced autonomous solutions for the medical field, such as diagnosis, monitoring and intervention. By exploring the mechanisms of human physiology and psychology, my work aims to develop intelligent systems that interact seamlessly with their human users.
I lead the Health Monitoring and Control Group, which is dedicated to advancing autonomous monitoring and control technologies for diverse health-related populations.
Active Projects
- Academic-Industry Partnership with Frontier Therapeutics Ltd on Medtech Development
Teaching
I have taught a wide range of subjects in engineering, including dynamcis and control. I am currently the leader for the second year moduel EN2037: Control and Instrumentation. I am also supervising third and fourth year student projects EN4110 Mechatronics and EN3100 Projects.
Finally, I am the academic leader for the student international competition RobotX, in which students are required to develop an autonomous marine system for navigation: https://robotx.org/programs/2024/. The competition for this year is sponsored by SWIEET https://www.learnedsociety.wales/relationships/swieet/ and Australian Institute of Marine Science (AIMs).
The Cardiff University Team contribution this year can be found at
https://www.youtube.com/watch?v=E3AeqIr-gQc
Biography
I obtained my PhD from the Department of Mechanical Engineering, The University of Melbourne, before working as a Research Associate at the Department of Bioengineering, Imperial College London. Afterwards, I worked for over five years as a postdoctorate at Monash University in the field of Cognitive Neuroscience before taking up a joint Engineering and Psychology Lecturer position at James Cook University.
Professional memberships
IEEE Membership
Academic positions
Lecturer, Engineering and Psychology, James Cook University (2018-2024)
Lecturer Mechanical Engineering, Cardiff University (2024- present).
Supervisions
Potential PhD Projects can cover the following areas (subject to funding, including CSC scholarships):
- Control of Soft Robotic Mechanisms: Innovate control theory solutions to enhance/aid human limb functionality.
- Compliant Robot System Design: Develop advanced robotic systems for human rehabilitation.
- Trusted Autonomous Control Systems: Design systems which can be trusted by its human user
- Control Theory for Cognitive Impairment Diagnosis: Applying control theory to diagnose patients with serious cognitive impairment illnesses
- Monitoring Human Motivation: Apply control theory to understand and optimise human motivation.
Why Join Us?
- Collaborate with experts in control theory, robotics, medical engineering and neuroscience
- Access to cutting-edge facilities for human-robot interface development.
- Contribute to impactful research improving human health and well-being.
Eligibility:
Applicants must demonstrate strong academic potential in one or more of the following areas and meet scholarship requirements (such as that of CSC):
- Mathematics
- Programming
- Mechatronics Design
Past projects
Li Mimi, Design of a spring-loaded exoskeletonJames Cook University, 2023-present
Daniel Croul, Design and Control of autonomous cable-based UAV, James Cook University, 2022-present
Jaeger Wongtrakun, Underlying Mechanism of Perceptual Decision Making in Humans, Monash University, 2019-present (COVID affected)
Contact Details
Queen's Buildings - South Building, Room S/0.10, 5 The Parade, Newport Road, Cardiff, CF24 3AA
Research themes
Specialisms
- Control engineering, mechatronics and robotics
- Cognitive neuroscience
- Computational neuroscience
- Motor control
- Control engineering