Short Bio.

Dr. Jinjin Yan is an Associate Professor at the Qingdao Innovation and Development Center, Harbin Engineering University. He earned his PhD from the Faculty of Built Environment at UNSW in November 2020. In October 2016, he began his PhD research in the Department of Urbanism at Delft University of Technology. He transferred to UNSW in February 2018 to continue his research. He completed his master’s degree (2013-2016) and bachelor’s degree (2009-2013) in the Faculty of Information Engineering at China University of Geosciences in Wuhan. His current research focuses on the collaborative path planning of unmanned swarm systems, including their collaborative topology, control, and full coverage path planning. His work also encompasses collaborative task allocation for unmanned swarm systems, SLAM (Simultaneous Localization and Mapping), ROS (Robot Operating System), and the development of path-planning algorithms based on artificial intelligence and swarm intelligence for unmanned systems.

Work

2020.12- Associate Professor

Qingdao Innovation and Development Centre, Harbin Engineering University.

Education

2018.03-2020.11 PhD candidate
University of New South Wales (UNSW), Sydney, Australia

Research topic: Seamless Pedestrian Navigation in Indoor/Outdoor Large Spaces.

Thesis: Seamless Navigation in Indoor and Outdoor based on 3D Spaces.

2016.10-2018.02 PhD candidate
Delft University of Technology (TU Delft), Delft, the Netherlands

Research topic: Seamless Pedestrian Navigation in Indoor/Outdoor Large Spaces.

2013.09-2016.06 MSc. Surveying and Mapping 

China University of Geosciences (CUG), Wuhan, P.R. China

Thesis: Generation and Accuracy Evaluation of Graph Model for Pedestrian Real-Time Localization in Indoor Space.

2009.09-2013.06 BSc. Surveying and Mapping Engineering 

China University of Geosciences (CUG), Wuhan, P.R. China

Thesis: Indoor Space Modelling for Real-time Positioning.

Academic Activities

• 1.Jinjin Yan. TASR: A Task Allocation Approach for a Swarm of Robots in 2D Known Environments (Oral presentation). The 14th Asian Control Conference, July 5-8, 2024, Dalian, China.

  2. Jinjin Yan. Path Planning for Pedestrian in Indoor and Outdoor Spaces (Oral presentation). Indoor3D: Challenges and Opportunities International Workshop, 19th June, 2023, BUCEA

• 3. Yan, J. Ma, B. A Theoretical Path Computation Model for Rectangular Rigid-bodies Entering an Entrance (Oral presentation). 7th International Smart Data Smart Cities and 17th International 3D GeoInfo joint conference. Sydney, Australia 18-21 October, 2022. (Link)

• 4. Yan, J. 3D Space-based Seamless Path Planning in Indoor and Outdoor (Keynote Speaker, host). The 6th International Conference on Engergy, Environment and Resources, (ICEER2022 online), May 28-30, 2022, Suzhou, China. (Link)

• 5. Yan, J. Indoor and Outdoor Seamless Navigation based on 3D Spaces (Oral presentation). The 8th Global Social Sciences Graduate Student e-Conference (Online). April 22, 2021. Hong Kong Baptist University(HKBU), Hong Kong, China.

• 6. Yan, J.*, Zlatanova, S., & Diakité, A. A. Two New Pedestrian Navigation Path Options based on Semi-indoor Space (Oral presentation). 15th 3D GeoInfo 2020 and BIM GIS Integration Workshop (Online). September 7-11, 2020, at UCL, London, UK.

• 7. Yan, J.*, Zlatanova, S., Aleksandrov, M., Diakite, A.A., & Pettit, C. Integration of 3D objects and Terrain for 3D Modelling Supporting the Digital Twin (Oral presentation). 14th 3D GeoInfo Conference 2019. September 24-27, 2019, at the Asian Civilisations Museum, Singapore.

• 8. Yan, J. Top-bounded Spaces Formed by Built Environment for Navigation System (Oral presentation). The 7th Global Social Sciences Graduate Students Conference. February 27, 2019. Hong Kong Baptist University (HKBU), HongKong, China.

• 9. Yan, J., Diakite, A.A.*, & Zlatanova, S. An extraction approach of the top-bounded space formed by buildings for pedestrian navigation (Oral presentation). 1–5 October 2018, Delft, The Netherlands.

• 10. Yan, J.*, Grasso, N., Zlatanova, S., Braggaar, R.C., & Marx, D.B. CHALLENGES IN FLYING QUADROTOR UNMANNED AERIAL VEHICLE FOR 3D INDOOR RECONSTRUCTION (Poster). ISPRS Workshop Indoor 3D 2017. September 19-20, 2017, East Lake International Conference Center, Wuhan, Hubei, China.

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