Hello, welcome to Guoyuan Li's homepage
Guoyuan Li (M’14--SM'19) received a B.Sc. degree and an M.Sc. degree in Computer Science from Chongqing University, China in 2006 and 2009, respectively. In 2013, he received a Ph.D degree from the Institute of Technical Aspects of Multimodal Systems (TAMS), Department of Informatics, University of Hamburg, Hamburg, Germany. From 2014, he started a postdoctoral work at the Intelligent Systems Laboratory, Department of Ocean Operations and Civil Engineering, Norwegian University of Science and Technology (NTNU), Norway. He is currently a professor of ship intelligence at the Department of Ocean Operations and Civil Engineering, NTNU, Norway.
Guoyuan has been involved in both teaching and research at NTNU. He has used half of his workload for teaching. He is very fortunate to have extensive teaching experience from various courses at both bachelor and master levels, such as:
| Time | Course |
|---|---|
| 08/2025-present | MEPA2315 "Introduction to AI" |
| 08/2024-present | MEPA1002 "Microcontrollers and sensors" |
| 08/2022-present | MMA4007 "Applied AI and control" |
| 08/2024-present | MMA4004 "Mechatronics and systems integration" |
| 08/2016-present | MMA4005 "Modelling and simulation of maritime systems" |
| 08/2020-08/2021 | IP505314 "Machine learning for ship autonomy" |
| 08/2018-12/2019 | IP505314 "Man-machine-interaction and usability testing" |
| 08/2017-08/2019 | IP304814 "Introduction to Mechatronics" |
| 01/2017-08/2022 | IP501508 "Mechatronics, robots and deck machines" |
From 2017, Guoyuan started to supervise students for their bachelor/ master theses. Later, he and Professor Houxiang Zhang jointly supervised two doctoral candidates. In 2019, Guoyuan as the main supervisor started his first Ph.D supervision. The following is a list of his supervision experience.
| Time | Supervision topic |
|---|---|
| 09/2024-present | PhD supervision on ship behavior analysis and modelling using AIS data |
| 08/2024-present | PhD supervision on key technologies for digital twins of the littoral environment |
| 08/2022-08/2025 | PhD co-supervision on data-driven modeling and learning for onboard support of maritime operations |
| 12/2020-05/2024 | PhD co-supervision on human evacuation planning for passenger ships – uncertainty modeling |
| 08/2021-07/2024 | PhD supervision on intelligent control and optimization for on-board support of surface vessels |
| 10/2020-present | PhD supervision on data analysis and modelling for on-board support of marine operations |
| 10/2020-present | PhD supervision on model-based control and optimization for ship maneuvering in complex spatial environments |
| 08/2020-present | PhD co-supervision on modeling and simulation of sea farm environment |
| 08/2019-10/2022 | PhD supervision on human-in-the-loop control and onboard support system |
| 08/2019-06/2022 | PhD co-supervision on data mining for onboard support of maritime operations |
| 08/2019-06/2022 | PhD co-supervision on intelligent and flexible domain models for digital twins of maritime design and operation |
| 01/2017-06/2020 | PhD co-supervision on sensitivity analysis of ship motion |
| 06/2018-12/2018 | Master thesis supervision on visual focus analysis and evaluation |
| 01/2018-06/2018 | Master thesis supervision on simulation and modelling of snake-like robot |
| 01/2018-06/2018 | Master thesis supervision on sensor fusion for human fatigue assessment |
| 01/2017-06/2017 | Master thesis supervision on underwater robot development |
| 01/2017-06/2017 | Bachelor thesis supervision on screw-less snake-like robot development |
In addition to teaching, Guoyuan also puts effort into scientific research. His research interests mainly lie in digitalization, control, optimization & artificial intelligence. More specifically,
- In marine operation: Modeling and simulation of ship maneuvering, data analysis of ship motion data, ship trajectory planning, dynamic positioning, optimization of force allocation, and ship motion prediction;
- In robotics: Bio-inspired robots, Central Pattern Generators for gait generation, Adaptive locomotion control;
- In human-machine interaction: Visual focus analysis.
In these areas, he has published over 160 papers. He has co-edited the book “Bio-Inspired Locomotion Control of Limbless Robots” and the book “Digital Twins for Vessel Life Cycle Service - Innovation in Maritime Industry”, Springer Singapore, 2023 and 2024, respectively. Dr. Li has received three best paper award and two finalist award at IEEE international conferences. He is the recipient of the Best Paper Award in IEEE Robotics and Automation Magazine in 2024. He also serves as an Associate Editor for the IEEE TII, IEEE T-ITS, and IEEE JOE.
For more information, please visit my publications.