Steve Weddell

Senior LecturerSteve Weddell

Link Rm 305
Internal Phone: 94419
I use machine learning in two specific fields of research: neuroengineering and adaptive optics. Our CDA website details other areas of our research.

Qualifications & Memberships

Research Interests

Research interests include:
-Embedded Systems - Control
-Digital Signal Processing - Imaging and Control, Applications
-Machine learning for prediction and classification
-Heterogeneous computer systems architecture
-Systolic computer architectures
-Digital signal and digital image processing

Recent Publications

  • Clare R., Weddell S. and Le Louarn M. (2020) Mitigation of truncation effects in elongated Shack-Hartmann laser guide star wavefront sensor images. Applied Optics 59: 6431-6442.
  • Pike MD., Bose SK., Mallinson JB., Acharya SK., Shirai S., Galli E., Weddell SJ., Bones PJ., Arnold MD. and Brown SA. (2020) Atomic scale dynamics drive brain-like avalanches in percolating nanostructured networks. Nano Letters 20(5): 3935-3942.
  • Baseer Buriro A., Shoorangiz R., Weddell SJ. and Jones RD. (2018) Predicting microsleep states using EEG inter-channel relationships. IEEE Transactions on Neural Systems and Rehabilitation Engineering 26(12): 2260-2269.
  • Buriro AB., Shoorangiz R., Weddell SJ. and Jones RD. (2018) Ensemble learning based on overlapping clusters of subjects to predict microsleep states from EEG. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2018-July: 3036-3039.
  • Peimankar A., Weddell SJ., Jalal T. and Lapthorn A. (2018) Multi-objective ensemble forecasting with an application to power transformers. Applied Soft Computing 68: 233-248.

Refer to our CDA website for details about our group: