Kory Mathewson, B.Sc., M.Sc. (Ph.D. Student)

Kory Mathewson holds a Bachelor of Science in Electrical Engineering and a Master of Science in Biomedical Engineering. Kory is currently a doctoral graduate student at the University of Alberta under the supervision of Dr. Patrick Pilarski.Kory works at the intersection man and machine, some of his past work includes new imaging methods for microvasculature with Dr. Roger Zemp and Magnetic Resonance Imaging techniques for imaging the dynamics of exercise with Dr. Richard Thompson andDr. Mark Haykowsky. He is an active member of the Alberta Machine Intelligence Institute (Amii), Reinforcement Learning and Artificial Intelligence (RLAI) group as well as the Bionic Limbs for Improved Natural Control (BLINC) lab.

To find out more information, contact Kory at korymath@gmail.com or jump over to korymathewson.com to find out what work he has been up to recently.

Research Interests

Perceptive Machine Intelligence to Improve Bionic Limbs

The objective of this study is to develop better bionic limbs through improved representations for prediction and control learning. I hypothesize that improving bionic limbs via modern AI techniques can reduce learning time to control a limb, increase the use of a device, reduce risk of injury, and allow for patient-specific functional control optimizations

Publications

Mathewson KW, Pilarski PM. (2017, Accepted) Reinforcement Learning based Embodied Agents Modelling Human Users Through Interaction and Multi-Sensory Perception. AAAI Spring Symposium March 2017. California, USA.

Pilarski PM, Sutton R, Mathewson KW, Sherstan C, Parker ASR and Edwards, AL. (2016, Submitted) Communicative Capital for Prosthetic Agents. Submitted to Frontiers in Neurorobotics.

Vega R, Sajed T, Mathewson KW, Khare K, Pilarski PM, Greiner R, Sanchez-Ante G, Antelis JM. (2017) Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals. Artificial Intelligence Research, Vol 6, No 1.

Mathewson KW, Pilarski PM. (2016) Simultaneous Control and Human Feedback in the Training of a Robotic Agent with Actor-Critic Reinforcement Learning. 25th International Joint Conference on Artificial Intelligence, Interactive Machine Learning Workshop. July 2016. New York, USA.

Mathewson, K., Haykowsky, M., Thompson, R.B. (2014) Feasibility and Reproducibility of Measurement of Skeletal Muscle Blood Flow, Oxygen Extraction and VO2 with Dynamic Exercise Using MRI. (Link)

Harrison, T., Ranasinghesagara, J. C., Lu, H., Mathewson, K., Walsh, A., & Zemp, R. J. (2009). Combined photoacoustic and ultrasound biomicroscopy. Optics Express, 17(24), 22041-22046.

Ranasinghesagara, J. C., Jian, Y., Chen, X., Mathewson, K., & Zemp, R. J. (2009).Photoacoustic technique for assessing optical scattering properties of turbid media. Journal of Biomedical Optics, 14(4), 040504.

Zemp, R. J., Ranasinghesagara, J., Jiang, Y., Chen, X., & Mathewson, K. (2009). A photoacoustic method for optical scattering measurements in turbid media.Paper presented at the Progress in Biomedical Optics and Imaging – Proceedings of SPIE, 7177.

Zemp, R. J., Lu, H., Mathewson, K., Ranasinghesagara, J., Jiang, Y., Walsh, A., et al. (2009). Development of a fast-scanning combined ultrasound-photoacoustic biomicroscope. Paper presented at the Progress in Biomedical Optics and Imaging – Proceedings of SPIE, 7177.

Zemp, R. J., Xuhui, C., Huihong, L., Yan, J., & Mathewson, K. (2008). A new photoacoustic method for measuring optical transport green’s functions in turbid media. Paper presented at the Proceedings – IEEE Ultrasonics Symposium, 1246-1249.