SiQi Zhou
Scholar

SiQi Zhou

Google Scholar ID: 5fGdja8AAAAJ
Simon Fraser University
RoboticsMachine LearningControl Systems
Citations & Impact
All-time
Citations
1,624
 
H-index
13
 
i10-index
16
 
Publications
20
 
Co-authors
10
list available
Contact
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - 2024 Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowship, European Union
  • - 2022 RSS Pioneers, Robotics: Science and Systems
  • - 2020 MIT Rising Stars in Aerospace, MIT AeroAstro
  • - 2020 People’s Choice Award in 3MT Competition, University of Toronto Robotics Institute
  • - 2018 Alexander Graham Bell Canada Graduate Scholarship, NSERC (ranked 6 out of 133)
  • - 2016 Award of Excellence, Division of Engineering Science, University of Toronto
Research Experience
  • - Assistant Professor in the School of Computing Science at Simon Fraser University
  • - Senior Scientist in the Learning Systems and Robotics Lab led by Prof. Angela Schoellig at the Technical University of Munich (TUM)
  • - Postdoc at the University of Toronto Institute for Aerospace Studies under the co-supervision of Prof. Animesh Garg and Prof. Angela Schoellig
  • - Postdoc at the Vector Institute for Artificial Intelligence
Education
  • - September 2016 – 2022: Ph.D. in Aerospace Science and Engineering, University of Toronto Institute for Aerospace Studies
  • - September 2011 – June 2016: B.ASc. in Engineering Science (High Honours), Major in Aerospace Engineering & Minor in Robotics and Mechatronics, Division of Engineering Science, University of Toronto
Background
  • Research interests include control theory, machine learning, and robot decision-making with a focus on semantically safe behaviors. The overarching goal is to enable robots to operate safely within unstructured environments and intelligently accomplish tasks alongside humans.
Miscellany
  • Organized multiple workshops and events including CoRL 2024, RSS 2024, CDC 2023, RSS 2023, IROS 2022, NeurIPS 2021, IROS 2021, and RSS 2021.