Jun LIU

Prof. Jun LIU, 劉軍

(Former)

Accepting PhD Students

Willing to speak to media

Calculated based on number of publications stored in Pure and citations from Scopus
20112025

Research activity per year

Personal profile

Author IDs

ORCID iD: 0000-0002-5815-2483
Scopus Author ID: 57218181324

Impact

Qualifications/Experiences

Cornell University
2016-2019, Postdoctoral Fellow, Dalio Institute of Cardiovascular Imaging

University of Toronto
2011 – 2016, Ph.D. in Mechanical Engineering (advisor: Professor Yu Sun)

Shandong University 
2004-2008, B.E. in Automation & B.S. in Economics

Biography

Jun Liu obtained his Ph.D. in mechanical engineering under the supervision of Prof. Yu Sun from University of Toronto in 2016. Before joining CityU, he was a postdoc associate in the Dalio Institute of Cardiovascular Imaging at Cornell University, where he conducted research in advanced medical imaging technologies. His research interests include micro-/ nanorobotics, soft and medical robotics, and biomedical instrumentation. 

His research has been recognized on the major robotics and automation conferences by winning multiple awards including the Best Student Paper Award and Best Medical Robotics Paper Finalist Award from the IEEE International Conference on Robotics and Automation in 2014, and the Gaitech Best Paper in Robotics Award from the IEEE International Conference on Information and Automation in 2016.

Prizes/Honours

  • IEEE TASE Best New Application Award

IEEE Transactions on Automation Science and Engineering, 2018

  • ICIA Gaitech Best Paper in Robotics Award

IEEE International Conference on Information and Automation, Ningbo, China, 2016

  • ICRA Best Student Paper Award

IEEE International Conference on Robotics and Automation, Hong Kong, 2014

  • ICRA Best Manipulation Paper Award Finalist

IEEE International Conference on Robotics and Automation, Hong Kong, 2014

  • ICRA Best Medical Robotics Paper Award Finalist

IEEE International Conference on Robotics and Automation, Hong Kong, 2014

  • TRCHR PHD Fellowship

Ted Rogers Center for Heart Research, Toronto, 2015-2016

  • Mart Liinve Scholarship

University of Toronto, Toronto, 2014

  • IEEE RAS Student Travel Award, ICRA 2014

IEEE Robotics and Automation Society

Position(s) Available

Ph.D. Positions are Available! 

The Multiscale Automation and Robotics (MARs) Lab is hiring. The MARs Lab (https://www.cityu.edu.hk/mne/marslab/), affiliated with City University of Hong Kong, focuses on the research in micro/nano robotics, soft and medical robotics, and automation at micro/nanometer scales. With a strong belief in interdisciplinary research in electrical, mechanical and biomedical engineering, we innovate and integrate the cutting-edge techniques from different areas to invent enabling tools and technology. The MARs lab shares a culture of being radically open-minded and transparent. If you are interested in our research, please contact us. Collaborations and generous donations are needed to “create a better world together with smarter robots”.

All talented and enthusiastic individuals with strong academic background are encouraged to apply for our Ph.D. program. Better opportunities will be given to students with a high GPA and/or one or two peer-reviewed international journal publications. 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 2 - Zero Hunger
  • SDG 3 - Good Health and Well-being
  • SDG 9 - Industry, Innovation, and Infrastructure

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Collaborations from the last five years

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