Dr Andrew John McDaid

BE (Hons), PhD

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Associate Professor

Research | Current

View my research website here

  • Medical devices - design and control
  • Rehabilitation robotics and wearables
  • Artifical intelligence and machine learning
  • Functional electrical stimulation (FES) - Neuroprosthetics
  • Smart materials and soft robotics
  • Intelligent and adaptive control systems
  • Physiological control (EEG, HD-EMG)
  • Neuroscience and human motor control/learning
  • Gamification
  • Novel additive manufacturing for customised medical devices

Research currently funded by:

Health Research Council (HRC), RSNZ, MBIE, Callaghan Innovation, Auckland Medical Research Foundation (AMRF), Cure Kids, NZ Artifical Limb Service, US Office of Naval Research (ONR), Lottery Health Research Board, Ministry of Social Development, The University of Auckland

Teaching | Current

Director - Medical Devices & Technologies Program

ENGGEN770 - Medical Device Technologies

MECHENG736 - Biomechatronic Systems

MECHENG762 - Mechatronics Research Project

MECHENG322 - Control Systems

MECHENG312 - Sensors and Actuators

MECHENG201 - Electronics and Computing for Mechanical Engineers

Postgraduate supervision


ME (Research)

MEngSt (Medical Devices and Technolgies)

MEngSt (Mechanical Engineering)


RSNZ Rutherford Discovery Fellowship

UoA Early Career Research Excellence Award - 2015

AUEA Emerging Researcher Award - 2015

RSNZ Marsden Grant - 2014

Spark Ideas Challenge Winner - 2014

AMP 'Do Your Thing' Award - 2012

Best Student Paper Award, IEEE/ASME AIM2011 Conference 


Programme Director - Medical Devices & Technologies

Postgraduate Advisor (Research) - Mechanical Engineering

Outreach (incl schools liason) - Mechanical Engineering

Committees/Professional groups/Services

Faculty of Engineering Research Committee

Member IEEE

Member ASME

Selected publications and creative works (Research Outputs)

As of 29 October 2020 there will be no automatic updating of 'selected publications and creative works' from Research Outputs. Please continue to keep your Research Outputs profile up to date.
  • Jayaneththi, V. R., Aw, K., Sharma, M., Wen, J., Svirskis, D., & McDaid, A. J. (2019). Controlled transdermal drug delivery using a wireless magnetic microneedle patch: Preclinical device development. SENSORS AND ACTUATORS B-CHEMICAL, 29710.1016/j.snb.2019.126708
    Other University of Auckland co-authors: Kean Aw, Manisha Sharma, Jingyuan Wen, Darren Svirskis
  • Dwivedi, A., Kwon, Y., McDaid, A. J., & Liarokapis, M. (2019). A Learning Scheme for EMG Based Decoding of Dexterous, In-Hand Manipulation Motions. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 27 (10), 2205-2215. 10.1109/tnsre.2019.2936622
    Other University of Auckland co-authors: Minas Liarokapis, Anany Dwivedi
  • Jayaneththi, V. R., Aw, K. C., & McDaid, A. J. (2019). Coupled magneto-mechanical modeling of non-linear ferromagnetic diaphragm systems. International Journal of Mechanical Sciences, 155, 360-369. 10.1016/j.ijmecsci.2019.03.003
    Other University of Auckland co-authors: Kean Aw
  • Ward, S. H., Wiedemann, L., Stinear, J., Stinear, C., & McDaid, A. (2018). The effect of a novel gait retraining device on lower limb kinematics and muscle activation in healthy adults. Journal of biomechanics, 77, 183-189. 10.1016/j.jbiomech.2018.07.012
    Other University of Auckland co-authors: Cathy Stinear, Sarah Ward
  • Hope, J., Vanholsbeeck, F., & McDaid, A. (2018). A model of electrical impedance tomography implemented in nerve-cuff for neural-prosthetics control. Physiological measurement, 39 (4)10.1088/1361-6579/aab73a
    Other University of Auckland co-authors: Frederique Vanholsbeeck
  • Jayaneththi, V. R., Viloria, J., Wiedemann, L. G., Jarrett, C., & McDaid, A. J. (2017). Robotic assessment of neuromuscular characteristics using musculoskeletal models: A pilot study. Computers in Biology and Medicine, 86, 82-89. 10.1016/j.compbiomed.2017.05.007
  • Jarrett, C., & McDaid, A. J. (2017). Robust control of a cable-driven soft exoskeleton joint for intrinsic human-robot interaction. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25 (7), 976-986. 10.1109/TNSRE.2017.2676765
  • Jarrett, C., & McDaid, A. (2017). Virtual normalisation of physical impairment: A pilot study to evaluate motor learning in presence of physical impairment. Frontiers in Neuroscience, 1110.3389/fnins.2017.00101


Contact details

Primary office location

Level 8, Room 839
New Zealand

Web links