Research Interests
- Production Management, Production Scheduling
- Artificial Intelligence, Software Development Theory
- Smart Industry, Business Process Modeling
Employment
| 2008 - | Professor, Graduate School of Information, Production and Systems Waseda University, Shinjuku, Japan |
| 2020 - 2024 | Dean, Graduate School of Information, Production and Systems Waseda University, Shinjuku, Japan |
| 2016 - 2017 | Chief of Academic Affairs (Academic Affairs) Waseda University, Shinjuku, Japan |
| 2014 - 2015 | Head of the Information Architecture Field Waseda University, Shinjuku, Japan |
| 2004- 2005 | Part-Time Lecturer Tokyo Denki University, Adachi, Japan |
| 2003 - 2008 | Associate Professor, Graduate School of Information, Production and Systems Waseda University, Shinjuku, Japan |
| 1985 - 2003 | Joined Yokogawa Electric Corporation. Conducted research and development on software development environment and production management. Subsequently, worked in product development, marketing, and sales technology as a deputy section manager. |
Education
| 1985 - 1990 | PhD in Engineering Waseda University, Shinjuku, Japan |
| 1985 - 1983 | M.S. in Electrical Engineering, Graduate School of Science and Engineering Waseda University, Shinjuku, Japan |
| 1983 | B.S. in Electrical Engineering, School of Science and Engineering Waseda University, Shinjuku, Japan |
Extramural Positions
In Japan Petroleum Institute, he served as a member of the Management Information Subcommittee of the Japan Petroleum Institute in 1998 and as a member of the Survey Committee on Mathematical Science Methods in the Management Information Subcommittee in 1999. At The Institute of Electrical Engineers of Japan (IEEJ), Vice-Chairman of the Research and Survey Steering Committee, Electronics, Information and Systems Division (2005), Chairman of the Cooperative Research Committee on Production Scheduling Business Process Modeling (2010), Chairman of the Cooperative Research Committee on Systemization Norms for Production Scheduling Business (2012). Chairman of the Cooperative Research Committee for the Japan Industry 4.0 Demonstration Study in 2016. Research Leader of the Sub-Group on Skills Transfer at the Japan Food Machinery Manufacturers’ Association (FOOMA) in 2019.
Publications
Yang, H.; Fujimura, S.: Multi-Objective Comprehensive Approach for Flexible Assembly Job Shop Scheduling Problem with AGVs. IEEJ Transactions on Electrical and Electronic Engineering, 25 July 2025.
Qiang, Y.; Zhou, Y.; Desta Gebreyesus, G.; Fujimura, S.: Multi-Agent Trips Simulation‐Based Charging Demand Forecasting. IEEJ Transactions on Electrical and Electronic Engineering, 20 (8), 3 April 2025, 1219–1228.
Xu, S.; Wu, L.; Liao, W.; Fujimura, S.: Enhancing Collaborative Shopping Experience Through Interactive Personalized Avatars and Shared Gaze in a Multi-User Augmented Reality Environment. International Journal of Human–Computer Interaction, 41 (11), 2025, 6515–6536.
Desta Gebreyesus, G.; Fellek, G.; Farid, A.; Hou, S.; Fujimura, S.; Yoshie, O.: Deep reinforcement learning-based spatio-temporal graph neural network for solving job shop scheduling problem. Evolutional Intelligence, 18 (1), 2025.
G.; Fellek, G.; Farid, A.; Fujimura, S.; Yoshie, O.; Desta Gebreyesus, G.: G-DGANet: Gated deep graph attention network with reinforcement learning for solving traveling salesman problem. Neurocomputing, 579, 2024, 127392.
Hu, S.; Fujimura, S.; Feng, Y.: Task Allocation Optimization for Warehouse Autonomous Mobile Robot. ACM International Conference Proceeding Series, 2024, 135–141.
Desta Gebreyesus, G.; Fellek, G.; Farid, A.; Yi, Q.; Fujimura, S.; Yoshie, O.: A Deep Reinforcement Learning Framework with Convolution Augmented Attention and Gate Mechanism for Job Shop Scheduling. ACM International Conference Proceeding Series, 2024, 171–177.
Hou, S.; Desta Gebreyesus, G.; Fujimura, S.: Day-ahead multi-modal demand side management in microgrid via two-stage improved ring-topology particle swarm optimization. Expert Systems with Applications, 238, 2024, 122135.
Lou, H.; Fujimura, S.: ADMM-Based Distributed Algorithm for Energy Management in Multi-Microgrid System. IEEJ Transactions on Electrical and Electronic Engineering, 19 (1), 2024, 79–89.
Gebreyesus, G.; Fellek, G.; Farid, A.; Fujimura, S.; Yoshie, O.: Gated-Attention Model with Reinforcement Learning for Solving Dynamic Job Shop Scheduling Problem. IEEJ Transactions on Electrical and Electronic Engineering, 18 (6), 2023, 932–944.
Fellek, G.; Farid, A.; Gebreyesus, G.; Fujimura, S.; Yoshie, O.: Graph Transformer with Reinforcement Learning for Vehicle Routing Problem. IEEJ Transactions on Electrical and Electronic Engineering, 18 (5), 2023, 701–713.
Fellek, G.; Farid, A.; Gebreyesus, G.; Fujimura, S.; Yoshie, O.: Deep Graph Representation Learning to Solve Vehicle Routing Problem. Proceedings – International Conference on Machine Learning and Cybernetics, 2023, 172–180.
Liao, W.-J.; Fujimura, S.: The Optimization of Multi-objective FJSP Based on the Hybrid Algorithm. Journal of Physics: Conference Series, 2575 (1), 2023, 012012.
Hou, S.; Fujimura, S.: Day-Ahead Multi-Objective Microgrid Dispatch Optimization Based on Demand Side Management Via Particle Swarm Optimization. IEEJ Transactions on Electrical and Electronic Engineering, 18 (1), 2023, 25–37.
Weng, W.; Chen, J.; Zheng, M.; Fujimura, S.: Realtime scheduling heuristics for just-in-time production in large-scale flexible job shops. Journal of Manufacturing Systems, 63, 2022, 64–77.
Fellek, G.; Gebreyesus, G.; Farid, A.; Fujimura, S.; Yoshie, O.: Edge Encoded Attention Mechanism to Solve Capacitated Vehicle Routing Problem with Reinforcement Learning. IEEE International Conference on Industrial Engineering and Engineering Management, 2022, 576–582.
Kurniawan, B.; Song, W.; Weng, W.; Fujimura, S.: Distributed-elite local search based on a genetic algorithm for bi-objective job-shop scheduling under time-of-use tariffs. Evolutionary Intelligence, 14 (4), 2021, 1581–1595.
Song, W.; Fujimura, S.: Capturing combination patterns of long- and short-term dependencies in multivariate time series forecasting. Neurocomputing, 464, 2021, 72–82.
Song, W.; Fujimura, S.: Sensor Data Prediction in Process Industry by Capturing Mixed Length of Time Dependencies. IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2021, 1174–1178.
Gozali, A.A.; Fujimura, S.: Performance analysis of localisation strategy for island model genetic algorithm in population diversity preservation. Journal of Experimental and Theoretical Artificial Intelligence, 32 (6), 2020, 1045–1058.
Song, W.; Chandramitasari, W.; Weng, W.; Fujimura, S.: Short-term electricity consumption forecasting based on the attentive encoder-decoder model. IEEJ Transactions on Electronics, Information and Systems, 140 (7), 2020, 846–855.
Gozali, A.A.; Kurniawan, B.; Weng, W.; Fujimura, S.: Solving university course timetabling problem using localized island model genetic algorithm with dual dynamic migration policy. IEEJ Transactions on Electrical and Electronic Engineering, 15 (3), 2020, 389–400.
Affiliated Societies
The Institute of Electrical Engineers of Japan (IEEJ), The Information Processing Society of Japan (IPSJ), IEEE