Research output per year
Research output per year
Personal profile
Research areas
Data science, Explainable AI, Industrial digitalization, Energy informatics
Research Interests
His research focuses on data science and industrial digitalization, with particular emphasis on developing and applying digitalization methods, including machine learning, artificial intelligence, and advanced data processing techniques, to analyze energy efficiency and design data-driven decision support systems.
Keywords
- XProduktionssystemer i industri
- Industrial Digitalization
- Energy Informatics
- Industry 4.0
- Machine Learning
- Data Science
- Explainable AI
- Decision Support Systems
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Artificial Intelligence-Driven Decision Support Framework for Improving Energy Efficiency in Industry and Transportation
Ma, Z. M., 14. Jan 2026, Syddansk Universitet. Det Tekniske Fakultet. 271 p.Research output: Thesis › Ph.D. thesis
13 Downloads (Pure) -
Artificial Intelligence-Driven Decision Support Framework for Improving Energy Efficiency in Industry and Transportation
Ma, Z. M., 27. May 2026, Springer. 366 p.Research output: Book/report › Monograph › Research › peer-review
Open Access -
Data-Driven Causal Reasoning for Eco-Driving Behavior Analysis in Public Transportation Systems
Ma, Z., Jørgensen, B. N. & Ma, Z. G., Aug 2026, In: Complex & Intelligent Systems. 12, 8, 189.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access -
Uncovering Causal Drivers of Energy Efficiency for Industrial Process in Foundry via Time-Series Causal Inference
Ma, Z., Jørgensen, B. N. & Ma, Z. G., 1. May 2026, Energy Informatics.Academy Conference 2025 (EI.A 2025). Springer, Vol. 16394. p. 366-381Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile1 Downloads (Pure) -
An Automated Domain-Agnostic and Explainable Data Quality Assurance Framework for Energy Analytics and Beyond
Tolnai, B. A., Ma, Z. M., Jørgensen, B. N. & Ma, Z. G., 26. Sept 2025, In: Information. 16, 10, 34 p., 836.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile12 Downloads (Pure)
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Driver Coach
Jørgensen, B. N. (PI), Ma, Z. G. (Co-PI) & Ma, Z. M. (Project participant)
01/02/2022 → 30/09/2026
Project: Research
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DECODE: Data-driven best-practice for energy-efficient operation of industrial processes
Ma, Z. G. (PI), Jørgensen, B. N. (Co-PI) & Ma, Z. M. (Project participant)
01/09/2022 → 31/08/2026
Project: Research
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IEA IETS Annex Task XVIII: Danish participation in IEA IETS Annex Task XVIII - Digitization, artificial intelligence and related technologies for energy efficiency and reduction of greenhouse gas emissions in industry
Ma, Z. G. (Project manager), Ma, Z. M. (Project participant), Clausen, C. S. B. (Project participant), Værbak, M. (Project participant) & Schwarz, H. (Project participant)
01/07/2021 → 31/12/2024
Project: Research