User:Greggielas/sandbox

= Brokoslaw Laschowski =

Brokoslaw Laschowski is a Ukrainian-Canadian neuroscientist. He specializes in the field of neurorobotics. He works as a research scientist and principal investigator at the Toronto Rehabilitation Institute and an assistant professor at the University of Toronto where he leads the Neural Robotics Lab.

Early Life
Laschowski was born and raised in Toronto, Canada. His family immigrated to Canada from Kolomyia, Ukraine.

Education
Laschowski received a BSc in kinesiology (neuroscience) from the University of Toronto, a MSc in kinesiology (neuroscience) from the University of Western Ontario, a MASc in mechanical and mechatronics engineering from the University of Waterloo, and a PhD in biomedical engineering from the University of Waterloo. He completed a postdoctoral fellowship in medicine at the University of Toronto. He interned at the Holland Bloorview Kids Rehabilitation Hospital.

Research
Laschowski is best known for his research in visual perception of human-robot walking environments using deep learning. Most notably, his research was featured in a keynote talk by the President and CEO of NVIDIA and showcased to the President of South Korea. In addition to computer vision, Laschowski leads research studies in reinforcement learning, myoelectric control, and brain-machine interfaces. He is the founder and director of the Neural Robotics Lab at the University of Toronto. His lab is working to “give robots intelligence by developing artificial brains or interfacing with human brains”.

Awards
Laschowski was awarded the national PhD scholarship by the Natural Sciences and Engineering Research Council of Canada (NSERC) for his research in robotics and artificial intelligence. He was also awarded the University of Waterloo engineering excellence PhD fellowship, valued at $120,000.

Outreach
Laschowski played a significant role in helping student refugees from Ukraine in response to the 2022 Russian invasion. He co-founded and managed the summer research program in computer science at the University of Toronto for displaced students. His program was funded by the Vector Institute for Artificial Intelligence.

Notable Publications

 * Kurbis AG, Mihailidis A, and Laschowski B. (2024). Development and mobile deployment of a stair recognition system for human-robot locomotion. IEEE Transactions on Medical Robotics and Bionics. DOI: 10.1109/TMRB.2024.3349602.
 * Kuzmenko D, Tsepa O, Kurbis AG, Mihailidis A, and Laschowski B. (2023). Efficient visual perception of human-robot walking environments using semi-supervised learning. IEEE International Conference on Intelligent Robots and Systems (IROS). DOI: 10.1109/IROS55552.2023.10341654.
 * Tsepa O, Burakov R, Laschowski B, and Mihailidis A. (2023). Continuous prediction of leg kinematics during walking using inertial sensors, smart glasses, and embedded computing. IEEE International Conference on Robotics and Automation (ICRA). DOI: 10.1109/ICRA48891.2023.10160419.
 * Ivanyuk-Skulskiy B, Kurbis AG, Mihailidis A, and Laschowski B. (2024). Sequential image classification of human-robot walking environments using temporal neural networks. IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob). DOI: 10.1101/2023.11.10.566555.
 * Dashkovets A and Laschowski B. (2024). Reinforcement learning for control of human locomotion in simulation. IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob). DOI: 10.1101/2023.12.19.572447.
 * Kurbis AG, Kuzmenko D, Ivanyuk-Skulskiy B, Mihailidis A, and Laschowski B. (2024). StairNet: Visual recognition of stairs for human-robot locomotion. BioMedical Engineering OnLine. DOI: 10.1186/s12938-024-01216-0.