PhD Candidate

Brock LaschowskiPhD Candidate in Biomedical Engineering at the University of Waterloo 

Biography  

​Brokoslaw Laschowski is a PhD candidate in the Department of Systems Design Engineering, with a specialization in biomedical engineering, at the University of Waterloo and the Waterloo Artificial Intelligence Institute in Canada. He specializes in using mathematical, computational, and machine learning methods to optimize the design and control of humans interacting with wearable robotic systems and technologies. Applications of his research include rehabilitation robotics, biomechatronics, human-machine interfaces, and wearable assistive technologies (i.e., exoskeletons and bionic prostheses). His doctoral research focuses on 1) modelling and computer simulation of human-exoskeleton systems with energy-efficient actuators, and 2) computer vision and deep learning for autonomous exoskeleton control during legged locomotion. He received a master’s degree from the Department of Mechanical and Mechatronics Engineering at the University of Waterloo and a second masters from the School of Kinesiology, with a specialization in biomechanics, from the University of Western Ontario in Canada.

Brokoslaw has published in many top-tier scientific and engineering journals and conferences, including the IEEE Transactions on Medical Robotics and Bionics, the Frontiers in Robotics and AI, and the IEEE International Conference on Biomedical Robotics and Biomechatronics. He recently served on the executive committee of the Canadian Society for Biomechanics and worked at the Holland Bloorview Kids Rehabilitation Hospital and as a biomechanics professor at Humber College. To date, Brokoslaw has earned over $234,000 in scholarships and awards (e.g., from the Natural Sciences and Engineering Research Council of Canada) and co-authored grant proposals that received over $197,000 in research and infrastructure funding (e.g., from the Canada Foundation for Innovation). He has presented at many national and international conferences and was recently a Best Paper Award finalist at the 2019 IEEE International Conference on Rehabilitation Robotics. His award-winning research has been featured on media networks like BBC News, CBC, and Maclean’s Magazine, in addition to the recent GTC keynote address by the founder and CEO of NVIDIA.

Education

PhD in Biomedical Engineering, University of Waterloo
MASc in Mechanical Engineering, University of Waterloo
MSc in Kinesiology (Biomechanics), Western University
BSc in Kinesiology (Biomechanics), University of Toronto
• Exchange Program, Masaryk University, Czech Republic

Publications

• Laschowski B, McNally W, Wong A, and McPhee J. (2021). Environment classification for robotic leg prostheses and exoskeletons using deep convolutional neural networks. bioRxiv. DOI: 10.1101/2021.06.24.449600.
• Nasr A, Laschowski B, and McPhee J. (2021). Myoelectric control of robotic leg prostheses and exoskeletons: A review. ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC-CIE). Accepted. 
• Laschowski B, McNally W, Wong A, and McPhee J. (2021). Computer vision and deep learning for environment-adaptive control of robotic lower-limb exoskeletons. bioRxiv. DOI: 10.1101/2021.04.02.438126. 
• Laschowski B, Razavian RS, and McPhee J. (2021). Simulation of stand-to-sit biomechanics for robotic exoskeletons and prostheses with energy regeneration. IEEE Transactions on Medical Robotics and Bionics, 3(2), pp. 455-462. DOI: 10.1109/TMRB.2021.3058323. 
Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet database: Wearable camera images of human locomotion environments. Frontiers in Robotics and AI, 7, 562061. DOI: 10.3389/frobt.2020.562061.
Laschowski B, McNally W, Wong A, and McPhee J. (2020). Comparative analysis of environment recognition systems for control of lower-limb exoskeletons and prostheses. IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob). DOI: 10.1109/BioRob49111.2020.9224364.
Laschowski B, McNally W, Wong A, and McPhee J. (2019). Preliminary design of an environment recognition system for controlling robotic lower-limb prostheses and exoskeletons. IEEE International Conference on Rehabilitation Robotics (ICORR), pp. 868-873. DOI: 10.1109/ICORR.2019.8779540.
Laschowski B, McPhee J, and Andrysek J. (2019). Lower-limb prostheses and exoskeletons with energy regeneration: Mechatronic design and optimization review. ASME Journal of Mechanisms and Robotics, 11(4), pp. 040801-040801-8. DOI: 10.1115/1.4043460.
Laschowski B and Andrysek J. (2018). Electromechanical design of robotic transfemoral prostheses. ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. DOI: 10.1115/DETC2018-85234. 
Maryniak A, Laschowski B, and Andrysek J. (2018). Technical overview of osseointegrated transfemoral prostheses: Orthopaedic surgery and implant design centered. ASME Journal of Engineering and Science in Medical Diagnostics and Therapy, 1(2), pp. 020801-020801-7. DOI: 10.1115/1.4039105.
Laschowski B, Mehrabi N, and McPhee J. (2018). Optimization-based motor control of a Paralympic wheelchair athlete. Sports Engineering, 21(3), pp. 207-215. DOI: 10.1007/s12283-018-0265-2.
Laschowski B, Mehrabi N, and McPhee J. (2017). Inverse dynamics modelling of Paralympic wheelchair curling. Journal of Applied Biomechanics, 33(4), pp. 294-299. DOI: 10.1123/jab.2016-0143.
Laschowski B and McPhee J. (2016). Quantifying body segment parameters using dual-energy X-ray absorptiometry: A Paralympic wheelchair curler case report. Procedia Engineering, 147, pp. 163-167. DOI: 10.1016/j.proeng.2016.06.207. 
Laschowski B and McPhee J. (2016). Body segment parameters of Paralympic athletes from dual-energy X-ray absorptiometry. Sports Engineering, 19(3), pp. 155-162. DOI: 10.1007/s12283-016-0200-3.


Affiliation: 
University of Waterloo
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