Projects per year
Personal profile
Research Interests
His current research interests include computational intelligence, reinforcement learning, operations research, evolutionary algorithm, hyper-heuristics, modelling, scheduling and optimisation with a special focus on transportation systems and healthcare. He supervised a team of students and software engineers that has successfully tackled a challenging truck dispatching problem in Ningbo-Zhou Port, reduced the operations significantly.
Personal profile
Prof. Ruibin Bai holds BSc and MSc degrees from Northwestern Polytechnic University, China and a PhD from University of Nottingham UK. He joined the University of Nottingham Ningbo China (UNNC) in 2007 after spending 2 years as a postdoctoral research fellow at the University of Nottingham, UK. He is now a professor and Head of the School of Computer Science and an IEEE senior member. He leads the Artificial Intelligence and Optimisation (AIOP) group with more than 20 academics of diverse background from Computer Science, Engineering and Business School. The group promotes collaborations between AI, Engineering and Operations Research communities. He is the Director of the Intelligent Simulation and Digital Port Lab.
Teaching
I have experience in teaching the following courses at UG level.
- AE1CSA: Computer System Architectures (2007-2013)
- AE1UST: Unix Software and Tools (2007-2008)
- AE1DBS: Database Systems (2007-2015)
- AE1PRG: Programming (2014-2015)
- AE1IMO: Introduction to Modelling and Optimisation (2014-2015)
- AE2OSC: Operating System and Concurrency (2015-2017)
- AE3IDS/J: Individual Dissertation Single/Joint Honours (2014-2017)
- AE2AIM: Artificial Intelligence Methods. (2017-2020)
I am the first supervisor for the following PhD students.
- Yuchang Zhang: Deep Reinforcement Learning Hyper-heuristics for Port Optimisations, Started in 2016.
- Chaofan Tu: Deep Reinforcement Learning for Combinatorial Optimisation. Started in 2017.
- Menglin Cui: Robust and Interpretable medical text mining. Started in 2017.
- Jiandong Liu: Multi-objective evolutionary algorithm for medical text mining. Started in 2017.
- Xinan Chen: Data-Driven Genetic Programming Hyper-heuristic. Started in 2019.
- Jiahuan Jin: Deep Reinforcement Learning in Combinatorial Optimisation. Started in 2019.
- Shihe Wang: Machine Learning and Applications. Started in 2019.
- Huayan Zhang: Deep Reinforcement Learning for Combinatorial Optimisation. Started in 2020.
- Wentao He: Image Understanding and Reasoning. Started in 2020.
- Chenglin Yao: Face Spoofing and Detection. Started in 2020.
- Junsong Zhu: Dynamic scheduling in transportation and production. Started in 2021.
I have supervised the following PhD students to completion as the first supervisor.
- Jianjun Chen: An intelligent container transportation system using novel modelling, metaheuristics and automatic dispatching strategy, Gradated in 2016.
- Tianxiang Cui: Hybridising Metaheuristics and Exact Methods For Portfolio Optimisation Problem. Graduated in 2016.
- Ning Xue: Modelling and advanced optimisation methods for the multi-shift full truckload vehicle routing problem, Graduated in January 2017.
- Xiang Li: Life Cycle Based Decision Support for Sustainable Automotive Engineering and Energy Planning, to Graduated in May 2017.
- Xia Li: Travel Time Prediction Using Ensemble Learning Algorithms, Graduated in July 2018.
- Xiaoping Jiang: Stochastic Service Network Design for Transportation Planning of Consolidation Carriers, to finish in May. 2020
- Shuhui Gong: Spatio-temporal modeling and prediction on travel behaviour analysis. Graduated in 2020.
Person Types
- Staff
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Network
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Model and Data Driven Hyper-Heuristics for Combinatorial Optimization and Their Applications in Port Operation Integrated Scheduling
1/01/21 → 31/12/24
Project: Government Funded Projects › Vertical-National Government Funded Projects
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The 9th Multidiscipliany International Scheduling Conference (MISTA)
3/01/20 → 31/07/20
Project: University Funded Projects › Internal-RKE Conference and Event Organising Support Project
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Key technological enhancement and applications for Ningbo port Terminal operating system
30/06/19 → 30/06/22
Project: Government Funded Projects › Vertical-Ningbo Municipal Government Funded Projects
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Content service for the construction of medical question answering system knowledge base
16/01/19 → 15/01/20
Project: Contract Projects › Horizontal-Contract Projects out of Zhejiang Province
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Decision support system for smart healthcare services
1/01/18 → 31/12/18
Project: Contract Projects › Horizontal-Contract Projects out of Zhejiang Province
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A deep reinforcement learning based hyper-heuristic for combinatorial optimisation with uncertainties
Zhang, Y., Bai, R., Qu, R., Tu, C. & Jin, J., 16 Jul 2022, In: European Journal of Operational Research. 300, 2, p. 418-427 10 p.Research output: Journal Publication › Article › peer-review
10 Citations (Scopus) -
An Improved Ant Colony Approach for the Competitive Traveling Salesmen Problem
Du, X., Bai, R., Cui, T., Qu, R. & Li, J., 2022, 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., (2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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A Robust Detection and Optimization Approach for Delayed Measurements in UWB Particle-Filter-Based Indoor Positioning
Zhou, N., Lau, L., Bai, R. & Moore, T., 1 Jun 2022, In: Navigation, Journal of the Institute of Navigation. 69, 2, navi.514.Research output: Journal Publication › Article › peer-review
Open Access -
Boosting the discriminant power of naive Bayes
Wang, S., Ren, J., Lian, X., Bai, R. & Jiang, X., 29 Nov 2022, International Conference on Pattern Recognition (ICPR). IEEE, p. 4906-4912 7 p.Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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Cooperative double-layer genetic programming hyper-heuristic for online container terminal truck dispatching
Chen, X., Bai, R., Qu, R. & Dong, H., 27 Sep 2022, In: IEEE Transactions on Evolutionary Computation. 15 p.Research output: Journal Publication › Article › peer-review