Patrick M. Pilarski, Ph.D.
Assistant Professor

Div. Physical Med. and Rehab.
Dept. of Medicine
Faculty of Medicine and Dentistry

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Contact Info Education Research Publications & Presentations Workshops & Talks

  Contact Information


Patrick M. Pilarski, PhD
Assistant Professor, Div. of Physical Medicine and Rehabilitation, Dept. of Medicine
Adjunct Assistant Professor, Dept. of Computing Science
Adjunct Assistant Professor, Faculty of Rehabilitation Medicine
Research Affiliate, Glenrose Rehabilitation Hospital, Edmonton, AB
Principal Investigator, Alberta Innovates Centre for Machine Learning
Principal Investigator, Reinforcement Learning and Artificial Intelligence Laboratory

      

Email:
Phone: +1 (780) 248-5636
Office:5-020F Katz Group Centre for Pharmacy and Health Research
Mailing: Division of Physical Medicine and Rehabilitation
5-005 Katz Group Centre for Pharmacy and Health Research
University of Alberta
Edmonton, Alberta, Canada, T6G 2E1

Weekly Schedule:View Calendar Here (U of Alberta network members only)

  Education and Bio


Patrick M. Pilarski has been actively pursuing intelligent systems and biomedical device research for over fifteen years. He is an Assistant Professor in the Division of Physical Medicine and Rehabilitation at the University of Alberta, and a Principal Investigator with the Reinforcement Learning & Artificial Intelligence Laboratory (RLAI) and the Alberta Innovates Centre for Machine Learning (AICML). Patrick received the B.ASc. in Electrical Engineering from the University of British Columbia in 2004, the Ph.D. in Electrical and Computer Engineering from the University of Alberta in 2009, and completed his postdoctoral training with Dr. Richard S. Sutton. Patrick's research interests include adaptive rehabilitation technology, assistive robotics, real-time machine learning, artificial intelligence, human-machine interfaces, and biomedical pattern analysis. These interests drive Patrick's applied research into assistive rehabilitation devices and lab-on-a-chip systems. He leads the AICML Adaptive Prosthetics Project—an interdisciplinary initiative focused on creating intelligent artificial limbs to restore and extend abilities for people with amputations. As part of this research, Patrick explores new real-time machine learning techniques for sensorimotor control and prediction, including methods for human-device interaction and communication, long-term control adaptation, and patient-specific device optimization. Patrick has also pioneered techniques for rapid cancer and pathogen screening through work on biomedical pattern recognition, robotic micro-manipulation of medical samples, and hand-held microfluidic diagnostic devices. Patrick is the author or co-author of more than forty-five peer-reviewed articles, and is co-inventor of multiple international patent filings involving machine intelligence for medical devices. He was the recipient of an NSERC Postdoctoral Fellowship in Artificial Intelligence, and is currently supported by provincial, national, and international research grants.



  Research Interests

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Current Research:
  • Adaptive Rehabilitation Technology
    • Real-time machine learning for intelligent artificial limbs and multi-function powered prostheses.
    • Algorithms and adaptive computational techniques that increase patients' ability to customize and control their assistive biomedical devices and environments.
    • Prediction learning to improve users' ability to switch between the modes and functions of assistive devices.
    • Long-term brain-body-machine and brain-computer interaction.

  • Intelligent Systems and Interfaces
    • Reinforcement learning and artificial intelligence methods for use in complex real-world environments; applications in the health, transportation, and energy sectors.
    • Human-machine interfaces: theoretical and applied methods for communicating between complex distributed systems.
    • Human instruction and training of machine learning systems.
    • Prediction and control learning that is grounded in data-dense, real-time sensorimotor experience.
    • Continuous action actor-critic policy gradient algorithms.

  • Biomedical Pattern Analysis
    • Model-free interpretation of online, multi-signal human biofeedback (for example, myoelectric signals).
    • Pattern analysis and machine learning methods to facilitate the rapid, automated assessment of genetic anomalies in medical imaging samples (e.g., lab-on-a-chip fluorescent in situ hybridization images).
    • Pathogen detection in meat and other substances intended for human consumption.

    Custom robotic hardware, designed by our group with machine intelligence in mind: the Bento Arm with HANDi Hand (AICML / RLAI / BLINC, University of Alberta).
    Above: Custom robotic hardware, designed by our group with machine intelligence in mind—the Bento Arm with attached HANDi Hand (image thanks to M. R. Dawson).
General Research Interests:
  • Artificial intelligence, reinforcement learning, and machine learning.
  • Human-machine interfaces, adaptive distributed systems, and cognitive science.
  • Cybernetics and intelligence amplification.
  • Biomedical image analysis, pattern analysis, data mining, and computer vision.
  • Autonomous mobile robotics and rehabilitation robotics.
  • Nanobiotechnology, biomedical engineering, and lab-on-a-chip devices.

  Recent Media Coverage

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Breakfast Television Edmonton, Citytv, April 14th, 2015. (Link to the Video)



"Lab in a matchbox can detect E. coli at meat plants within one hour: A virtual 'molecular copying machine' makes enough genes to allow quick test results,"

Article by Bill Mah, The Edmonton Journal, July 15, 2013.
(Read the Article)

(Read the Genome Alberta News Release)
(Read the UAlberta News Release)
(Read the UAlberta Faculty of Science News Release)




"TEDx Artificial Limbs"

Edmonton AM with Rick Harp
CBC Radio One, June 7th, 2012
(Play the Audio and Video)


"TEDx and Artificial Intelligence"

Patrick Pilarski (Adaptive Prosthetics Project) and Ken Bautista (Co-Founder/CEO, Start-up Edmonton) on Breakfast Television Edmonton, Citytv, June 5th, 2012
(Play the Video)


"Edmonton Clinic: Health science students at the U of A have a new place to learn"

Global News: Edmonton, January 18th, 2012
News Hour — Health Matters with Su-Ling Goh
(Play the Video)


"The Expert: Artificial Intelligence"

Avenue Magazine, Edmonton
Feature interview by Caroline Barlott
September 2011, pp. 26-27.
(Read the Article)


"The Arm that will Blow Your Mind"
by Richard Cairney

U of A Engineer Magazine
Spring 2011, pp. 10
(Read the Article)


"Paving the Way for Intelligent Prosthetics"
by Richard Cairney

U of A Engineer Magazine
Spring 2011, pp. 6-8
(Read the Article)



  Non-Research Interests


Patrick M. Pilarski is the co-editor of DailyHaiku, an international journal of contemporary English-language haiku, and poetry editor for its new sister publication DailyHaiga. He is author of the poetry collection Huge Blue (Leaf Press, 2009), and the chapbooks Contemplating Vows (with Nicole Pakan; Katabatic Books, 2011) and Five Weeks (2007). Patrick's creative writing has appeared in journals and anthologies across North America, Europe, Australia, and Japan, and on CBC Radio One as part of the CBC Poetry Face-off. An active member of the literary community, he has served as an organizer for the Edmonton Poetry Festival and as the Vice President of the League of Canadian Poets.

Other Non-Technical Pursuits:
  • Blacksmithing.
  • Scuba diving and martial arts.
  • Acting and musical theatre.
  • Hiking, backpacking, and travel.
  • Gardening and tropical fish keeping.
  • Graphic design, visual art, and 3D animation.


  Publications and Presentations


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Peer-reviewed Journal, Conference, and Book Publications:
  1. H. van Seijen, A. R. Mahmood, P. M. Pilarski, M. C. Machado, R. S. Sutton, “True Online Temporal-Difference Learning,” Journal of Machine Learning Research, accepted, Jan 2016. (Preprint PDF)

  2. C. Sherstan, M. C. Machado, A. White, P. M. Pilarski, “Introspective Agents: Confidence Measures for General Value Functions,” accepted to the Ninth Conference on Artificial General Intelligence (AGI-16), New York City, July 16-19, 2016. (Preprint PDF)

  3. A. L. Edwards, J. S. Hebert, P. M. Pilarski, “Machine Learning and Unlearning to Autonomously Switch Between the Functions of a Myoelectric Arm,” accepted to the Proceedings of the 6th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob2016), June 26-29, 2016, Singapore. (Preprint PDF)

  4. J. Gunther, P. M. Pilarski, G. Helfrich, H. Shen, K. Diepold, “Intelligent Laser Welding through Representation, Prediction, and Control Learning: An Architecture with Deep Neural Networks and Reinforcement Learning,” Mechatronics, vol. 34, pp. 1–11, March 2016. (Published copy) (Preprint PDF)

  5. A. L. Edwards, M. R. Dawson, J. S. Hebert, C. Sherstan, R. S. Sutton, K. M. Chan, P. M. Pilarski, “Application of Real-time Machine Learning to Myoelectric Prosthesis Control: A Case Series in Adaptive Switching,” Prosthetics & Orthotics International. Published online before print September 30, 2015, doi: 10.1177/0309364615605373. (Published copy) (Preprint PDF)

  6. P. M. Pilarski, R. S. Sutton, K. W. Mathewson, “Prosthetic Devices as Goal-Seeking Agents,” Second Workshop on Present and Future of Non-Invasive Peripheral-Nervous-System Machine Interfaces: Progress in Restoring the Human Functions (PNS-MI), Singapore, Aug. 11, 2015. 4 pages. (PDF)

  7. C. Sherstan, J. Modayil, P.M. Pilarski, “A Collaborative Approach to the Simultaneous Multi-joint Control of a Prosthetic Arm,” Proceedings of the 14th IEEE/RAS-EMBS International Conference on Rehabilitation Robotics (ICORR), August 11–14, Singapore, 2015, pp. 13–18. (PDF) (Video MPG, MP4)

  8. H. van Seijen, A. R. Mahmood, P. M. Pilarski, R. S. Sutton, “An empirical evaluation of True Online TD(lambda),” European Workshop on Reinforcement Learning (EWRL), Lille, France, 10–11 July, 2015, 9 pages. (PDF) (arXiv:1507.00353 [cs.AI])

  9. P.M. Pilarski, A.L. Edwards, and K.M. Chan, “Novel Control Strategies for Arm Prostheses: A Partnership Between Man and Machine,” The Japanese Journal of Rehabilitation Medicine, vol. 52, no. 2, pp. 91–95, 2015.

  10. C. Sherstan and P.M. Pilarski, “Multilayer General Value Functions for Robotic Prediction and Control,” 2014 IROS Workshop on AI and Robotics, Chicago, USA, Sept. 14, 2014, 6 pages. (PDF)

  11. C. Castellini, P. Artemiadis, M. Wininger, A. Ajoudani, M. Alimusaj, A. Bicchi, B. Caputo, W. Craelius, S. Dosen, K. Englehart, D. Farina, A. Gijsberts, S. Godfrey, L. Hargrove, M. Ison, T. A. Kuiken, M. Markovic, P.M. Pilarski, R. Rupp, E.J. Scheme, “Proceedings of the First Workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography,” Frontiers in Neurorobotics, vol. 8, no. 22, Aug. 2014. doi: 10.3389/fnbot.2014.00022. (PDF) (Read Online)

  12. A.J. Koop, A. Kearney, M. Bowling, P.M. Pilarski, “Dealing with Changing Contexts in Myoelectric Control,” Proc. of MEC'14: Myoelectric Controls Symposium, Fredericton, New Brunswick, August 18-22, 2014, pp. 117-120. (PDF)

  13. A.L. Edwards, M.R. Dawson, J.S. Hebert, R.S. Sutton, K.M. Chan, P.M. Pilarski, “Adaptive Switching in Practice: Improving Myoelectric Prosthesis Performance through Reinforcement Learning,” Proc. of MEC'14: Myoelectric Controls Symposium, Fredericton, New Brunswick, August 18-22, 2014, pp. 69-73. (PDF)

  14. M.R. Dawson, C. Sherstan, J.P. Carey, J.S. Hebert, P.M. Pilarski, “Development of the Bento Arm: An Improved Robotic Arm for Myoelectric Training and Research,” Proc. of MEC'14: Myoelectric Controls Symposium, Fredericton, New Brunswick, August 18-22, 2014, pp. 60-64. (PDF)

  15. J. Gunther, P.M. Pilarski, G. Helfrich, H. Shen, K. Diepold, “First steps toward an intelligent laser welding architecture using deep neural networks and reinforcement learning,” Procedia Technology, Vol. 15, pp. 474–483, 2014. Also published in Proc. of the 2nd Joint International Conference on System-integrated Intelligence: New Challenges for Product and Production Engineering, July 2–4, Bremen, Germany, 2014, pp. 481–490. (PDF)

  16. P.M. Pilarski, “Aligning homeostatic and heterostatic perspectives,” Constructivist Foundations, Issue 9(2): 213–215, 2014. (Published copy—a commentary on a target article by Porr and Di Prodi; target article includes the combined references) (PDF)

  17. S. Adamia, M. Bar-Natan, B. Haibe-Kains, P.M. Pilarski, C. Bach, S. Pevzner, T. Calimeri, H. Avet-Loiseau, L. Lode, S. Verselis, E.A. Fox, I. Galinsky, S. Mathews, I. Dagogo-Jack, M. Wadleigh, D.P. Steensma, G. Motyckova, D.J. Deangelo, J. Quackenbush, D.G. Tenen, R. Stone and J.D. Griffin, “NOTCH2 and FLT3 gene mis-splicing are common events in patients with acute myeloid leukemia (AML): new potential targets in AML,” Blood, Vol. 123(18), pp. 2816–2825, 2014. doi:10.1182/blood-2013-02-481507.

  18. S. Adamia, B. Haibe-Kains, P. M. Pilarski, M. Bar-Natan, S. Pevzner, H. Avet-Loiseau , Laurence Lode L. Lode, S. Verselis, E. A. Fox, J. Burke, I. Galinsky, I. Dagogo-Jack, M. Wadleigh, D. P. Steensma, G. Motyckova, D. J. DeAngelo, J. Quackenbush, R. Stone, J. D. Griffin, “A Genome-wide aberrant RNA splicing in patients with acute myeloid leukemia identifies novel potential disease markers and therapeutic targets,” Clinical Cancer Research, Vol. 20(5): 1135–45, 2014. doi:10.1158/1078-0432.CCR-13-0956.

  19. A.L. Edwards, A. Kearney, M.R. Dawson, R.S. Sutton, and P.M. Pilarski, “Temporal-Difference Learning to Assist Human Decision Making during the Control of an Artificial Limb,” 1st Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM), Oct. 25–27, Princeton, New Jersey, USA, 2013. 5 pages. (PDF)(arXiv:1309.4714)

  20. S. Adamia, P.M. Pilarski, M. Bar-Natan, R.M. Stone, J.D. Griffin, “Alternative splicing in Chronic Myeloid Leukemia (CML): A novel therapeutic target?” Current Cancer Drug Targets, Vol. 13(7): 735–748, September 2013. (PubMed)

  21. S. Grange, K. Chettiar, M. Arestu, P. Pilarski, P. Smitham, M. Loizidou, G. Jell, “Nanotechnology & Medical Devices: Risk, Regulation and 'Meta' Registration,” World Journal of Engineering, Vol. 10(3): 191–198, September 2013. (Published First Page) (PDF)

  22. L.M. Pilarski, C. Debes Marun, L. Martin, C.P. Venner, P.M. Pilarski, A.R. Belch, “B Lymphocytes as Cancer Stem Cells in Multiple Myeloma,” Journal of Oncopathology, Vol. 1(2): 11–22, July 2013.

  23. P.M. Pilarski, T.B. Dick, and R.S. Sutton, “Real-time Prediction Learning for the Simultaneous Actuation of Multiple Prosthetic Joints,” Proc. of the 2013 IEEE International Conference on Rehabilitation Robotics (ICORR), Seattle, USA, June 24–26, 2013. 8 pages. (PDF)

  24. P.M. Pilarski, L. Qi, M. Ferguson-Pell, and S. Grange, “Determining the Time until Muscle Fatigue using Temporally Extended Prediction Learning,” Proc. 18th International Functional Electrical Stimulation Society Conference (IFESS), Donostia-San Sebastian, Spain, June 6–8, pp. 37–40, 2013. (PDF)

  25. S. Adamia, P.M. Pilarski, A.R. Belch and L.M Pilarski, “Aberrant Splicing, Hyaluronan Synthases and Intracellular Hyaluronan as Drivers of Oncogenesis and Potential Drug Targets,” Current Cancer Drug Targets, Vol. 13(4): 347–361, May 2013. (PubMed)

  26. P.M. Pilarski, M.R. Dawson, T. Degris, J.P. Carey, K.M. Chan, J.S. Hebert, and R.S. Sutton, “Adaptive Artificial Limbs: A Real-time Approach to Prediction and Anticipation,” IEEE Robotics & Automation Magazine, Vol. 20(1): 53–64, March 2013. (Postprint PDF) (Published Version)

  27. P.M. Pilarski and R.S. Sutton, “Between instruction and reward: human-prompted switching,” AAAI 2012 Fall Symposium on Robots Learning Interactively from Human Teachers (RLIHT), Nov. 2-4, Arlington, VA, USA, AAAI Technical Report FS-12-07, pp. 46–52, 2012. (PDF)

  28. J. Modayil, A. White, P.M. Pilarski, and R.S. Sutton, “Acquiring a broad range of empirical knowledge in real time by temporal-difference learning,” Proc. of the IEEE International Conference on Systems, Man, and Cybernetics, Seoul, Korea, Oct 14-17, 2012, pp. 1903–1910. (PDF)

  29. P.M. Pilarski, M.R. Dawson, T. Degris, J.P. Carey, K.M. Chan, J.S. Hebert, and R.S. Sutton, “Towards Prediction-Based Prosthetic Control,” Proc. of the 17th International Functional Electrical Stimulation Society Conference 2012 (IFESS), Sept. 9-12, Banff, Canada, pp. 26–29, 2012. (PDF)

  30. L. Qi, M. Ferguson-Pell, S. Grange, P.M. Pilarski, “Pushrim kinetics and coordination patterns of shoulder muscles during surface and incline wheelchair propulsion,” Proc. of the 17th International Functional Electrical Stimulation Society Conference 2012 (IFESS), Sept. 9-12, Banff, Canada, pp. 151–153, 2012. (PDF)

  31. J. Modayil, A. White, P.M. Pilarski, and R.S. Sutton, “Acquiring diverse predictive knowledge in real time by temporal-difference learning,” Proc. of the International Workshop on Evolutionary and Reinforcement Learning for Autonomous Robot Systems (ERLARS), Montpellier, France, Aug. 27-28, 2012. 8 pages. (PDF)

  32. T. Degris, P.M. Pilarski, and R.S. Sutton, “Model-Free Reinforcement Learning with Continuous Action in Practice,” Proc. of the 2012 American Control Conference (ACC), June 27-29, 2012, Montreal, Canada, pp. 2177–2182, 2012. (PDF)

  33. P.M. Pilarski, M.R. Dawson, T. Degris, J.P. Carey, and R.S. Sutton, “Dynamic Switching and Real-time Machine Learning for Improved Human Control of Assistive Biomedical Robots,” Proc. of the 4th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), June 24-27, Roma, Italy, pp. 296–302, 2012. (PDF)

  34. T. Degris, P.M. Pilarski, R.S. Sutton, “Apprentissage par Renforcement sans Modèle et avec Action Continue,” 7èmes Journées Francophones Planification, Décision, et Apprentissage pour la conduite de systèmes (JFPDA 2012), LORIA, Nancy, France, 22–23 mai 2012, 11 pages. (PDF)

  35. A.R. Mahmood, R.S. Sutton, T. Degris, and P.M. Pilarski, “Tuning-Free Step-Size Adaptation,” Proc. of the 37th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 25-30, Kyoto, Japan, pp. 2121–2124, 2012. (PDF)

  36. P.M. Pilarski, M.R. Dawson, T. Degris, F. Fahimi, J.P. Carey, and R.S. Sutton, “Online Human Training of a Myoelectric Prosthesis Controller via Actor-Critic Reinforcement Learning,” Proc. of the 2011 IEEE International Conference on Rehabilitation Robotics (ICORR), June 29-July 1, Zurich, Switzerland, pp. 134-140, 2011. (PDF)

  37. R.S. Sutton, J. Modayil, M. Delp, T. Degris, P.M. Pilarski, A. White, D. Precup, “Horde: A Scalable Real-time Architecture for Learning Knowledge from Unsupervised Sensorimotor Interaction,” Proc. of 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2-6, Taipei, Taiwan, pp. 761-768, 2011. (PDF)

  38. P.M. Pilarski and C.J. Backhouse, “Towards robust cellular image classification: theoretical foundations for wide-angle scattering pattern analysis,” Biomedical Optics Express, Vol. 1(4): 1225-1233, 2010. http://www.opticsinfobase.org/boe/abstract.cfm?URI=boe-1-4-1225 (PDF)

  39. L.M. Pilarski, P.M. Pilarski, A. Belch, “Multiple Myeloma may include microvessel endothelial cells of malignant origin,” Leukemia and Lymphoma, Vol. 51(4): 592-597, 2010.

  40. P.M. Pilarski, X.T. Su, D.M. Glerum, and C.J. Backhouse, “Computational analysis of mitochondrial placement and aggregation effects on wide-angle cell scattering patterns,” Proceedings of SPIE, Vol. 7187: 71870J (12 pages), 2009. http://dx.doi.org/10.1117/12.809730 (PDF)

  41. S. Adamia, P.M. Pilarski, A.R. Belch and L.M. Pilarski, “Genetic abnormalities in Waldenstrom's Macroglobulinemia,” Clin. Lymphoma and Myeloma, Vol. 9(1): 30-32, 2009.

  42. S. Adamia, A.A. Reichert, H. Kuppusamy, J. Kriangkum, A. Ghosh, J.J. Hodges, P.M. Pilarski, S.P. Treon, M.J. Mant, T. Reiman, A.R. Belch, and L.M. Pilarski, “Inherited and acquired variations in the hyaluronan synthase 1 (HAS1) gene may contribute to disease progression in multiple myeloma and Waldenstrom macroglobulinemia,” Blood, Vol. 112(13): 5111-5121, 2008. (PDF)

  43. P.M. Pilarski, X. Su, D. M. Glerum, and C. J. Backhouse, “Rapid simulation of wide-angle scattering from mitochondria in single cells,” Optics Express, Vol. 16(17): 12819-12834, 2008. http://www.opticsinfobase.org/abstract.cfm?URI=oe-16-17-12819 (PDF)

  44. L.M. Pilarski, E. Baigorri, M.J. Mant, P.M. Pilarski, P. Adamson, H. Zola, A.R. Belch, “ Multiple myeloma includes phenotypically defined subsets of clonotypic CD20+ B cells that persist during treatment with Rituximab,” Clinical Medicine: Oncology, Vol. 2: 275-287, 2008. http://la-press.com/article.php?article_id=659 (PDF)

  45. V. J. Sieben, C. S. Debes-Marun, P. M. Pilarski, G. V. Kaigala, L. M. Pilarski, and C. Backhouse, “FISH and chips: chromosomal analysis on microfluidic platforms”, IET Nanobiotechnology, Vol. 1(3): 27-35, 2007. (PDF)

  46. P.M. Pilarski and C.J. Backhouse, “A method for cytometric image parameterization,” Optics Express, Vol. 14(26): 12720-12743, 2006. http://www.opticsinfobase.org/abstract.cfm?URI=oe-14-26-12720 (PDF) (MOV)

  47. A. R. Prakash, S. Adamia, V. Sieben, P. M. Pilarski, L. M. Pilarski, and C. J. Backhouse, "Small Volume PCR in PDMS Biochips with Integrated Fluid Control and Vapour Barrier," Sensors and Actuators B: Chemical, Vol. 113(1): 398-409, 2006. (PDF)

  48. P.M. Pilarski, S. Adamia, and C. J. Backhouse, “An adaptable microvalving system for on-chip polymerase chain reactions,” J. Immunological Methods, Vol. 305(1): 48-58, 2005. (PDF)

  49. T. Mirzayans, N. Parimi, P. Pilarski, C. Backhouse, L. Wyard-Scott, and P. Musilek, “A swarm-based system for object recognition,” Neural Network World, Vol. 15(3): 243-255, 2005. (PDF)

  50. Pilarski, L. M., Adamia, S., Maxwell, C. A., Pilarski, P.M., Reiman, T., Belch, A. R. “Hyaluronan Synthases and RHAMM as Synergistic Mediators of Malignancy in B Lineage Cancers,” in Hyaluronan: Structure, Metabolism, Biological Activities, Therapeutic Applications, Chapter 4, pages 329-338, Editors: E.A. Balazs and V.C. Hascall, Matrix Biology Institute, Edgewater, New Jersey, USA, 2005. (PDF)

  51. Pilarski, L.M., Reiman, T., Pilarski, P.M., Orr, F.W., Belch, A.R., “The Malignant Hierarchy in Multiple Myeloma: Relationships Between Malignant Cells and Bone Disease.” Bone Metastasis and Molecular Mechanisms, Chapter 7, pp. 109-138, Editors: Singh, G. and Orr, F.W., Kluwer Academic Publishers, 2004.

  52. L.M. Pilarski, S. Adamia, P.M. Pilarski, R. Prakash, J. Lauzon, and C.J. Backhouse,“Improved diagnosis and monitoring of cancer using portable microfluidics platforms,” Proc. of the 2004 International Conference on MEMS, NANO and Smart Systems (ICMENS'04), pp. 340-343, Editors: Badawy, W. and Moussa, W., Banff, Canada, 2004.

Technical Reports, Magazine Articles, and Other Non-Refereed Contributions:
  1. A.S.R. Parker, A.L. Edwards, P.M. Pilarski, “Using Learned Predictions as Feedback to Improve Control and Communication with an Artificial Limb: Preliminary Findings,” arXiv:1408.1913 [cs.AI], 7 pages, 2014. (PDF)(arXiv)

  2. P.M. Pilarski,Intelligent Artificial Limbs,” Alberta ICT Magazine, 2nd Edition, pp. 28--30, 2012. (PDF) (Read the Magazine)

  3. P.M. Pilarski,The Nuts and Bolts of Learning,” Alberta ICT Magazine, 2nd Edition, pp. 31, 2012. (PDF) (Read the Magazine)

Thesis:
  1. P.M. Pilarski,Computational Analysis of Wide-Angle Light Scattering from Single Cells,” Ph.D. Thesis, University of Alberta, 2009. http://hdl.handle.net/10048/774 (PDF)

Other Contributions—Extended Abstracts, Abstracts, Posters, and Presentations:
  1. P. M. Pilarski, Craig sherstan, “Steps Toward Knowledgeable Neuroprostheses,” accepted to the Proceedings of the 6th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob2016), June 26-29, 2016, Singapore. (Extended abstract and poster.)

  2. P. A. Toniolo, P. M. Pilarski, C. Bach, J.D. Griffin, S. Adamia, “MicroRNAs as potential therapeutic agents for AML: Targeting the AML1-ETO Oncogene by pre-miR-520 and-373,” Proceedings of the AACR 106th Annual Meeting, April 18-22, Philadelphia, PA, 2015; and Cancer Research 75 (15 Supplement), pp. 3972-3972.

  3. C. Sherstan, J. Modayil, P.M. Pilarski, “Direct Predictive Collaborative Control of a Prosthetic Arm,” poster, talk, and abstract in the Second Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM), Edmonton, Alberta, Canada on June 7-10, 2015. (Abstract) (Poster) (Talk)

  4. A.L Edwards, M.R. Dawson, J.S. Hebert, C. Sherstan, R.S. Sutton, K.M. Chan, P.M. Pilarski, “Progress Toward the Shared Control of a Prosthetic Arm,” poster and abstract in the Second Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM), Edmonton, Alberta, Canada on June 7-10, 2015. (Abstract) (Poster)

  5. M.R. Dawson, C. Sherstan, J.P. Carey, J.S. Hebert, P.M. Pilarski, “Development of the Bento Arm: An Improved Robotic Arm for Myoelectric Training and Research,” Glenrose Rehabilitation Hospital 2014 Spotlight on Research Breakfast and Symposium, Edmonton, Oct. 15, 2014. (Poster)

  6. A. Kearney, A. Koop, M. Bowling, P.M. Pilarski, “Partition Tree Learning for Improved Control of Myoelectric Prosthetics,” 8th Annual Workshop for Women in Machine Learning, Co-located with NIPS, Lake Tahoe, Nevada, Dec. 05, 2013. (Oral and poster presentation.)

  7. A.S.R. Parker, P.M. Pilarski, “Intelligent Communication and Control of Prosthetic Limbs,” 3rd Annual Undergraduate Research Symposium (University of Alberta, Edmonton, Alberta, Canada, November 22, 2013, abstract and poster presentation).

  8. S. Adamia, C. Bach, P.M. Pilarski, M. Wadleigh, D.P. Steensma, G. Motyckova, D.J. DeAngelo, R.M. Stone, D.G. Tenen, J.D. Griffin, “Aberrant Splicing in Patients with AML is Associated with Over-Expression of Specific Splicing Factors,” Proceedings of the 55th ASH Annual Meeting and Exposition, New Orleans, LA, December 7–10, 2013 and in Blood, October 21, 2013, vol. 122, no. 21, pp. 3749. (Abstract)

  9. A.S.R. Parker, P.M. Pilarski, “Enhanced Human-Machine Communication during Prosthesis Use,” 2013 Glenrose Rehabilitation Hospital Spotlight on Research Symposium (Edmonton, Alberta, Canada, October 23, 2013, abstract and poster presentation). (Poster)

  10. P.M. Pilarski, C. Debes-Marun, P. Dumais, A. Belch, and L.M. Pilarski, “Development of an Automated Microfluidic FISH Platform for Point-of-Care Risk Stratification of Multiple Myeloma,” Proceedings of the XIVth International Myeloma Workshop (Kyoto, Japan, April 3–7, 2013, abstract and poster) and in Clinical Lymphoma Myeloma and Leukemia (supplement), Vol. 13, Supplement 1, pp. 178–179. (Poster)

  11. J.S. Hebert, K.M. Chan, J. Olson, P.M. Pilarski, and M.R. Dawson, “A Novel Targeted Sensory Reinnervation Method to Improve Function of Myoelectric Prostheses after Arm Amputation,” 2012 ACRM-ASNR Annual Conference: Progress in Rehabilitation Research (Vancouver, Canada, October 9-13, 2012; abstract and 90 minute symposium session).

  12. P.M. Pilarski, M.R. Dawson, T. Degris, F. Fahimi, J. Carey, R.S. Sutton, "Real-time Machine Learning in Rehabilitation Robotics for Adaptable Artificial Limbs," 2011 Glenrose Rehabilitation Hospital Research Symposium (Edmonton, Alberta, Canada, November 2, 2011, abstract and poster presentation). (Poster)

  13. P.M. Pilarski, M.R. Dawson, T. Degris, F. Fahimi, J. Carey, R.S. Sutton, "Real-time Machine Learning in Rehabilitation Robotics for Adaptable Artificial Limbs," Tech Futures Summit 2011: Deploying Innovation (Banff, Canada, August 28-30, 2011, abstract and poster presentation). (Poster)

  14. T. Degris, P.M. Pilarski, J. Modayil, R.S. Sutton, M.J. Cimolini, and J. Raso, "An Encouraging Mobile Robot in the Glenrose Rehabilitation Hospital," 7th International Congress on Industrial and Applied Mathematics, ICIAM 2011 (Vancouver, Canada, July 18?22, 2011, poster presentation.)

  15. P.M. Pilarski, T. Degris, and R.S. Sutton “Small-Timescale Reinforcement Learning for Power Management on a Mobile Robot,”2010 Alberta Power Industry Consortium Power and Energy Innovation Forum (Edmonton, Canada, Nov. 4, 2010, invited poster presentation).

  16. J. Modayil, P.M. Pilarski, A. White, T. Degris, and R.S. Sutton, "Off-Policy Knowledge Maintenance for Robots," Robotics: Science and Systems Workshop—Towards Closing the Loop: Active Learning for Robotics (Zaragoza, Spain, June 27-30, 2010, 2 page extended abstract and poster). (Extended Abstract)

  17. P.M. Pilarski, M.R. Dawson, T. Degris, F. Fahimi, J. Carey, and R.S. Sutton, "Continuous Actor-Critic Methods for Adaptive Prosthetics," in proceedings of the 2010 MITACS / CORS Joint Annual Conference (Edmonton, Alberta, May 25-28, 2010; abstract and oral presentation).

  18. A. Mahmood, T. Degris, P.M. Pilarski, and R.S. Sutton, "Robust Step-size Adaptation for Online Optimization," in proceedings of the 2010 MITACS/CORS Joint Annual Conference (Edmonton, May 25-28, 2010, abstract, poster, and oral presentation).

  19. P.M. Pilarski, X.T. Su, D.M. Glerum, and C.J. Backhouse, "Disease Characterization Using Wide-Angle Light Scattering Patterns", in proceedings of the iCORE Alberta Electrical and Computer Engineering Graduate Research Symposium (University of Alberta, Edmonton, 22 June 2009, abstract and poster).

  20. S. Adamia, A. Reichert, A. Ghosh, J. Hodges, P. Pilarski, S. Treon, M.J. Mant, T. Reiman, A.R. Belch, and L.M. Pilarski, "Gerraline and somatic mutations in the hyaluronan synthase-1 (HAS1) gene may contribute to oncogenesis in multiple myeloma (MM) and Waldenstrom's macroglobulinemia (WM)," Blood, Vol. 110(11): 733A-734A, 2007.

  21. Pilarski, P. M., Sieben, V. J., Marun, C. D. & Backhouse, C. J., "Computer vision for fish screening in myeloma", in proceedings of the XIth International Myeloma Workshop (Kos 2007, poster), and Haematologica - The Hematology Journal, Vol. 92: 108-108, 2007.

  22. Sieben, V. J., Debes-Marun, C., Pilarski, P. M.; Kaigala, G. K., Pilarski, L. M. & Backhouse, C. J., "Microchips for optimized fish screening in myeloma," in proceedings of the XIth International Myeloma Workshop (Kos 2007, oral), and Haematologica - The Hematology Journal, Vol. 92: 64-65, 2007.

  23. V. J. Sieben, C. S. Debes-Marun, P. M. Pilarski, G. V. Kaigala, L. M. Pilarski, and C. Backhouse, "FISH AND CHIPS: Chromosomal analysis utilizing microfluidic platforms," in proceedings of Nanotechnology in Biomedicine (Keystone) (Tahoe City, California, USA, 2007, poster).

  24. P.M. Pilarski, V.J. Sieben, C. Debes Marun, and C.J. Backhouse, "An artificial intelligence system for detecting abnormal chromosomes in malignant lymphocytes," proceedings of the iCORE Alberta Electrical and Computer Engineering Graduate Research Symposium (University of Alberta, Edmonton, 04 May 2007, abstract & poster).

  25. Debes Marun CS, Sieben V, Pilarski PM, Reiman T, Belch AR, Pilarski LM. "FISH and Chips: Novel Point of Care Technology to Detect Chromosomal Abnormalities", Blood 108: 971a, 2006.

  26. Adamia S, Hodges J, Pilarski PM, Teron S, Mant MJ, Reiman T, Belch AR, Pilarski LM. "Accumulation of inherited and acquired mutations in hyaluronan synthase 1 gene may contribute to oncogenesis in multiple myeloma and Waldenstrom's macroglobulinemia", Blood 108: 980a, 2006.

  27. Pilarski, P.M., Sieben, V.J., Debes Marun, C., Backhouse, C.J., "An Artificial Intelligence System for Detecting Abnormal Chromosomes in Malignant Lymphocytes",  in proceedings of the Candian Society for Immunology conference (Halifax, Nova Scotia, 2006, oral, abstract, and poster).

  28. Pilarski, P.M., Siu, N., Iverson, L., "Email Redirected: A User-centric Reinvention of Email Clients", in proceedings of the Advanced Systems Institute of British Columbia ASI Exchange 2004 (Vancouver , Canada, 2004, abstract and poster) .

  29. Pilarski, P.M., Prakash, R., Adamia, S., Kaler, K.V.I.S., Backhouse, C.J. " Microvalving in Genetic Analysis Systems", poster for the International Conference on MEMS, Nano and Smart Systems (IEEE Conference) (Banff, AB, 2003).

  30. Adamia, S., Pilarski, P.M., Lauzon, J., Backhouse, C.J., Pilarski, L.M. "Microfluidics Platforms for Molecular Monitoring of Human Cancer", in proceedings of the Alberta Cancer Board Annual Research Meeting ( Banff , AB, 2003, abstract and poster).

  31. Adamia, S., Footz, T., Prakash, R., Pilarski, P.M., Pilarski, L.M., Backhouse, C.J. "Microfluidics platforms for genetic analysis", in proceedings of the American Society for Microbiology Bio-, Micro-, Nanosystems (New York, 2003, abstract and poster).

  32. Adamia, S., Pilarski, P.M., Prakash, R., Lauzon, J., Backhouse, C.J. and Pilarski, L.M. "Microsystems and Cancer: Improved Detection of Disease Related Genes in Myeloma Patients Using Microfluidics Platforms", in proceedings of the Annual Meeting of the American Society of Hematology (San Diego, CA, 2003, abstract) and Blood 102 (11): 2528, 2003.


  Teaching and Presentations

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Recent Courses:

Selected Lectures:







Selected Presentations and Seminars:
  • Building Communicative Capital during Human-Machine Collaboration,” invited talk for The 10th Barbados Workshop on Reinforcement Learning, Bellairs Research Institute, Barbados, April 25-28, 2016. (PDF)

  • ...

  • Solving Artificial Intelligence (AI) with help from Intelligence Amplification (IA),” invited talk for The 9th Barbados Workshop on Reinforcement Learning, Bellairs Research Institute, Barbados, April 27-30, 2015. (PDF)

  • “Knowledgeable Artificial Limbs,” Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico, Nov. 14, 2014. (Video seminar.)

  • Automating Life: the automated past, present, and future of human life on earth,” invited opening talk for the Ernest C. Manning Foundation Celebration of Innovation, Telus World of Science, Edmonton, AB, Canada, Oct. 25, 2014. (PDF)

  • “Novel Control Strategies for Arm Prostheses - a Partnership between Man and Machine,” K. M. Chan & P.M. Pilarski, invited keynote for the 51st Japanese Association of Rehabilitation Medicine 2014 Annual Scientific Meeting, Nagoya, Japan, 5 June 2014.

  • “Recent Advances in Upper-Limb Prosthetic Technology,” P.M. Pilarski, invited seminar for the International Society for Prosthetics and Orthotics (ISPO), Prosthetic & Orthotic Department, Queen Elizabeth Hospital, Hong Kong, China, 31 May 2014.

  • “Knowledgeable neuroprostheses: machine intelligence for the improved control of next-generation artificial limbs,” invited seminar for Centre for Neuroscience Seminar Series, Edmonton, AB, Canada, Feb. 03, 2014.

  • Learning and Using Contextual Information in the Control of Assistive Devices,” P.M. Pilarski, invited presentation for the 2013 International Conference on Rehabilitation Robotics, 1st Workshop on Present and Future of Non-invasive Peripheral-Nervous-System-Machine Interfaces (Seattle, USA, June 26, 2013). (PDF)

  • Real-time Control with Temporally Extended Predictions: A Sensorimotor Approach to Planning?,” P.M. Pilarski, invited presentation for The 8th Barbados Workshop on Reinforcement Learning (Bellairs Research Institute, Barbados, April 27–May 3, 2013). (PDF)

  • Prediction and Control with Real-time Machine Learning,” P.M. Pilarski, invited seminar for the DBR Technical Series, Schlumberger Canada Ltd. (DBR Technology Centre, Edmonton, Alberta, June 19, 2012). (PDF)

  • Towards Intelligent Artificial Limbs and other Miraculous Thinking Machines,” P.M. Pilarski, invited talk for TEDxEdmonton 2012 (Edmonton, Alberta, June 9, 2012). (PDF)(Watch the Video)

  • Collaborative Algorithms for Human-Machine Interaction,” P.M. Pilarski, invited presentation for The 7th Barbados Workshop on Reinforcement Learning (Bellairs Research Institute, Barbados, April 15-18, 2012). (PDF)

  • Real-time Machine Learning for Assistive Medical Robotics,” P.M. Pilarski, invited seminar for the International Seminar Series on Biomedical Engineering, Dept. of Medical System Engineering (Chiba University, Japan, Nov. 18, 2011). (PDF)

  • Reinforcement Learning Artificial Intelligence in Rehabilitation for Adaptive Prostheses,” P.M. Pilarski, invited presentation, ICE: The Tech Conference; Alberta Council of Technologies / Alberta ICT Council Machine Learning Conference (Edmonton, Alberta, Nov. 3, 2010). (PDF)

  • Reinforcement Learning Artificial Intelligence for Robotic Adaptation to New Environments,” P.M. Pilarski, invited presentation, ICE: The Tech Conference; Alberta Council of Technologies / Alberta ICT Council Machine Learning Conference (Edmonton, Alberta, Nov. 3, 2010). (PDF)

  • Panel member for "Off-loading Intelligence—When Machines Decide," Alberta Council of Technologies / Alberta ICT Council Machine Learning Forum (Edmonton, June 1, 2010).

  • "Feature and Variable Selection: Context for Representation Learning in RL," P.M. Pilarski, invited presentation/tutorial, The 5th Barbados Workshop on Reinforcement Learning (Bellairs Research Institute, Holetown, Barbados, April 6-9, 2010). (PDF)

  • "Machine Learning and Image Analysis for Lab-on-a-Chip Medical Diagnostics", P.M. Pilarski, invited seminar for Department of Computing Science Artificial Intelligence Seminar Series (University of Alberta, September 2009).

  • "Computational intelligence and computer vision for use with emerging micro­ and nano­technology devices", P.M. Pilarski, invited seminar for the Reykjavik University School of Computer Science and School of Science and Engineering (Reykjavik University, Iceland, October 14, 2008).

  • "A New Look at Rapid Medical Diagnostics", P.M. Pilarski, invited presentation for the University of Alberta Senate (Univeristy of Alberta, January 2008).

  • "Nanobiotechnology: lab-on-a-chip for rapid medical diagnostics", P.M. Pilarski, invited talk, Operating Room Nurses of Alberta Annual Conference (Red Deer, Alberta, Oct 25, 2007).

  • "Nanobiotechnology", P. M. Pilarski, V.J. Sieben, G.V. Kaigala, The Alberta Clinical Engineering Society Telehealth Educational Series (University of Alberta, Edmonton, 21 February 2006).

  • "A Computational Method for Rapid Cellular Identification", P. M. Pilarski, 1st Annual Electrical and Computer Engineering Graduate Students' Association Conference (University of Alberta, Edmonton, 27 January 2006).

  • "Cellular Level Computing:  rapid medical diagnostics for cancerous cell identification", P. M. Pilarski, invited research presentation, Netera Days: Exploring New Tools For Research (University of Alberta, Edmonton, 12 October 2005).

  • "Thinking Small:  An Introduction to Nanotechnology", P. M. Pilarski, invited presentation for FGSR Outreach - Peace River Highschool (University of Alberta, Edmonton, June 2005).

  • "Ants Marching: Swarm-Based Feature Characterization", P. M. Pilarski, invited research presentation, Facility for Advanced Computational Intelligence and Applications (University of Alberta, Edmonton, November 2004).

  • "Intelligent Microvalving in Genetic Analysis Systems", P. M. Pilarski, invited research presentation, Cross Cancer Institute (Edmonton, July 2003).

  External Links

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Copyright © P.M. Pilarski, 2005-2014
All Rights Reserved


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