Projects per year
Personal profile
Research biography
Shangce Gao (Senior Member, IEEE) received his Ph.D. degree in Innovative Life Science from University of Toyama, Toyama, Japan in 2011. From April 2014, he is an Associate Professor with the Faculty of Engineering, University of Toyama, Japan, and gets promoted to Professor in 2023. His current research interests include nature-inspired technologies, mobile computing, machine learning, and neural networks for real-world applications. His research has led to over 150 publications in top venues such as IEEE TEVC, IEEE TNNLS, IEEE CYB, IEEE TSMCS, IEEE TITS, etc. He serves as an Associate Editor for many international journals such as IEEE Transactions on Neural Networks and Learning Systems, and IEEE/CAA Journal of Automatica Sinica.
Laboratory Info
Lab Address：Faculty of Engineering, Gofuku 3190, University of Toyama, Toyama-shi, 930-8555 Japan
TEL：+81-76-445-6766
HP：https://toyamaailab.github.io/
Email：[email protected]
Campus career
知能情報工学科（廃止） 准教授 2014/04/01-2018/03/31
ヒューマン・生命情報システム学系 准教授 2014/04/01-2019/09/30
工学科 准教授 2018/04/01-2019/09/30
工学系 准教授 2019/10/01-
工学科 准教授 2019/10/01-
ヒューマン・生命情報システム学系 准教授 2014/04/01-2019/09/30
工学科 准教授 2018/04/01-2019/09/30
工学系 准教授 2019/10/01-
工学科 准教授 2019/10/01-
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):
Research Fields, Keywords
- Artificial Intelligence
- Computational Intelligence
- Deep Learning
- Machine Learning
- Neural Networks
- Algorithms
- Optimization
- Time Series Prediction
- Soft Computing
- Evolutionary Computation
- Meta-heuristics
- Search
- Medical and Engineering Application
- Data Mining
- Information Processing
Field of expertise (Grants-in-aid for Scientific Research classification)
- Soft computing
- Information Processing, Computational Intelligence
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Collaborations and top research areas from the last five years
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Projects
- 2 Finished
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Next-Generation Ultrasonic Beamformer with Innovative Transducer and Deep Learning
Hasegawa, H. (PI), Fujiwara, K. (CoI), Nagaoka, R. (CoI) & Gao, S. (CoI)
2019/06/28 → 2022/03/31
Project: Research
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Improving evolutionary algorithms from population structures and interaction networks
Gao, S. (PI)
2017/04/01 → 2019/03/31
Project: Research
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Dendritic Neuron Model with Effective Learning Algorithms for Classification, Approximation, and Prediction
Gao, S., Zhou, M., Wang, Y., Cheng, J., Yachi, H. & Wang, J., 2019/02, In: IEEE Transactions on Neural Networks and Learning Systems. 30, 2, p. 601-614 14 p., 8409490.Research output: Contribution to journal › Article › peer-review
594 Scopus citations -
Chaotic Local Search-Based Differential Evolution Algorithms for Optimization
Gao, S., Yu, Y., Wang, Y., Wang, J., Cheng, J. & Zhou, M., 2021/06, In: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 51, 6, p. 3954-3967 14 p., 8937719.Research output: Contribution to journal › Article › peer-review
261 Scopus citations -
Fully Complex-Valued Dendritic Neuron Model
Gao, S., Zhou, M. C., Wang, Z., Sugiyama, D., Cheng, J., Wang, J. & Todo, Y., 2023/04/01, In: IEEE Transactions on Neural Networks and Learning Systems. 34, 4, p. 2105-2118 14 p.Research output: Contribution to journal › Article › peer-review
56 Scopus citations -
A multi-layered gravitational search algorithm for function optimization and real-world problems
Wang, Y., Gao, S., Zhou, M. & Yu, Y., 2021/01, In: IEEE/CAA Journal of Automatica Sinica. 8, 1, p. 94-109 16 p., 9272701.Research output: Contribution to journal › Article › peer-review
153 Scopus citations -
Bi-objective Elite Differential Evolution Algorithm for Multivalued Logic Networks
Sun, J., Gao, S., Dai, H., Cheng, J., Zhou, M. C. & Wang, J., 2020/01, In: IEEE Transactions on Cybernetics. 50, 1, p. 233-246 14 p., 8478769.Research output: Contribution to journal › Article › peer-review
101 Scopus citations