Personal profile
Biography
Dr. Ding Ze Yang is a Lecturer in the Department of Electrical and Robotics Engineering at Monash University Malaysia. He obtained his Bachelor's degree and PhD in Engineering from the same university in 2019 and 2023, respectively. His research focuses on industrial AI, with a primary emphasis on developing data-driven soft sensors for process monitoring in industrial systems. He has published in several high-impact factor journals, such as IEEE Transactions on Industrial Informatics and Soft Robotics. Dr. Ding's research interests include deep learning, data-driven modeling, process monitoring, soft sensor, machine intelligence, and autonomous systems.
Research interests
Dr. Ding’s research focuses on industrial AI, which refers to the use of AI technologies such as deep learning, computer vision, and robotics to improve industrial applications. Industrial AI is utilized to enhance manufacturing processes, increase operational efficiency, and reduce costs in industries such as manufacturing, transportation, energy, and logistics. Some examples of industrial AI applications include predictive analytics, process optimization, intelligent control systems, and autonomous robotics. These applications rely on large amounts of data generated from industrial processes and sensors, which are analyzed using AI algorithms to improve the performance and efficiency of the systems. Industrial AI has the potential to revolutionize the way we manufacture products and manage industrial processes, making them more efficient, cost-effective, and environmentally sustainable.
There are many exciting research projects to explore in the field of industrial AI, including:
- Monitoring and Control of Industrial Processes using Deep Learning
- Fault Diagnosis and Predictive Maintenance
- Knowledge Discovery for Explainable AI in Industrial Systems
- Reinforcement Learning for Process Optimization
- Autonomous Systems for Transportation and Logistics
Please do not hesitate to reach out for further inquiries regarding the research topics and opportunities.
Education/Academic qualification
Engineering, Doctor of Philosophy, Monash University Malaysia
1 Dec 2019 → 14 Mar 2023
Award Date: 15 Mar 2023
Electrical and Computer Systems Engineering, Bachelor of Engineering (Honours), Monash University Malaysia
26 Oct 2015 → 28 Jun 2019
Award Date: 16 Nov 2019
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):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 11 Sustainable Cities and Communities
Collaborations and top research areas from the last five years
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Multi-Objective Optimization of Cloud Energy Storage Placement and Sizing in Peer-to-Peer Energy Market under Line Congestion
Ling, J. Q., Tan, W. S., Ding, Z. Y. & Wu, Y. K., 2025, 2025 IEEE Industry Applications Society Annual Meeting, IAS 2025. Chen, C.-I. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 8 p. (Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
1 Link opens in a new tab Citation (Scopus) -
ST-HCSS: Deep Spatio-Temporal Hypergraph Convolutional Neural Network for Soft Sensing
Tew, H. H., Ding, F., Li, G., Loo, J. Y., Ting, C. M., Ding, Z. Y. & Tan, C. P., 2025, 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025 - Proceedings. D Rao, B., Trancoso, I., Sharma, G. & B. Mehta, N. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 5 p. 5829. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
1 Link opens in a new tab Citation (Scopus) -
Transformer-based Deep Learning Model for Joint Routing and Scheduling with Varying Electric Vehicle Numbers
Yap, J. K., Baskaran, V. M., Tan, W. S., Ding, Z. Y., Wang, H. & Dowe, D. L., 2025, 2025 IEEE Industry Applications Society Annual Meeting, IAS 2025. Chen, C.-I. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 8 p. (Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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Cross-Domain Transfer Learning Using Attention Latent Features for Multi-Agent Trajectory Prediction
Loh, J. Q., Luo, X., Ding, F., Tew, H. H., Loo, J. Y., Ding, Z. Y., Susilawati, S. & Tan, C. P., 2024, 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Zhou, M. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 3905-3911 7 p. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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Deep Learning Based Hybrid Assisted Stochastic Unit Commitment with Transportable Energy Storage
Chia, J.-S., Tan, W.-S., Ding, Z.-Y. & Wu, Y.-K., 2024, 2024 IEEE Industry Applications Society Annual Meeting, IAS 2024. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 9 p. (Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Activities
- 1 Non-HDR Supervisions
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ENG4701 Final Year Project (Semester 1, 2024)
Wen Shan, T. (Supervisor), Hooi, Y. T. (Supervisor) & Ze Yang, D. (Supervisor)
26 Jan 2024 → 15 Nov 2024Activity: Other Teaching Engagements and non-HDR Supervisions › Non-HDR Supervisions