Steve Weddell

Senior LecturerSteve Weddell

Director of Computer Engineering
ICTS Rm 203
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

  • Knopp S., Bones P., Weddell SJ. and Jones R. (2017) A software framework for real-time multi-modal detection of microsleeps. Australasian Physical and Engineering Sciences in Medicine
  • Peimankar A., Weddell S., Jalal T. and Lapthorn AC. (2017) Evolutionary Multi-Objective Fault Diagnosis of Power Transformers. Swarm and Evolutionary Computation http://dx.doi.org/10.1016/j.swevo.2017.03.005.
  • Arnal R., Jones RD. and Weddell SJ. (2014) Multi-reference adaptive noise cancellation in the EEG. The Australasian College of Physical Scientists & Engineers in Medicine 38(1): 173-202. http://dx.doi.org/10.1007/s13246-014-0324-3.
  • Ayyagari S., Jones RD. and Weddell SJ. (2014) EEG-based event detection using optimized echo state networks with leaky integrator neurons. The Australasian College of Physical Scientists & Engineers in Medicine 38(1): 173-202. http://dx.doi.org/10.1007/s13246-014-0324-3.
  • Ayyagari S., Jones RD. and Weddell SJ. (2014) EEG-based microsleep detection using supervised learning. The Australasian College of Physical Scientists & Engineers in Medicine 38(1): 173-202. http://dx.doi.org/10.1007/s13246-014-0324-3.