Organization profile
Organization profile
Management of Technology, MOT, is a professional study which integrates engineering, science, and management. The study is applied in planning, developing, and establishing the skills of technology within an organization in order that the strategies and the purpose of the organization can be accomplished. In short, MOT is to explore how to manage and employ technology effectively.
This is a particularly relevant aspiration, in view of the transformation of Taiwan's manufacturing industry from labor-intensive production to a capital- or technology-intensive industrial base. This transition into high value-added manufacturing creates a soaring demand for multi-disciplinary engineers and managers who are required to effectively manage technical innovations and, ultimately, spur economic growth. In order to meet the needs of industry and government, National Chiao-Tung University (NCTU) combines the qualified scientists and students with valuable industrial resources from Hsinchu Science Based Industrial Park (SBIP) and Industrial Technology Research Institute (ITRI) to be the first in Taiwan to establish the Graduate Institute of Management of Technology (IMOT) at National Chiao-Tung University (NCTU) in 1991. In responding to demand for such highly qualified personnel, the first MOT Master Credits Program in Taiwan was soon established in 1992, and the Ph.D. Program was additionally established in 2000 with the objective of bringing more professional managers into the hi-tech industry.
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Collaborations and top research areas from the last five years
Projects
- 115 Finished
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技術標準如何加速技術融合?–技術距離、技術速度與技術加速度之巨量資料實證
Su, H.-N. (PI)
1/08/24 → 31/07/25
Project: Government Ministry › Other Government Ministry Institute
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節能減碳,乾淨上路!以供需視角探討都市新能源共享交通工具之發展策略
Lim, S. S. (PI)
1/08/23 → 31/07/24
Project: Government Ministry › Other Government Ministry Institute
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技術標準如何加速技術融合?–技術距離、技術速度與技術加速度之巨量資料實證
Su, H.-N. (PI)
1/08/23 → 31/07/24
Project: Government Ministry › Other Government Ministry Institute
Research output
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Attention-guided network for infrared unmanned aerial vehicle target detection
Jiang, Q., Yu, H., Jin, X., Wang, P., Lee, S. J., Yao, S., Jiang, H., Lan, W. & Zhou, W., 1 Jan 2026, In: Engineering Applications of Artificial Intelligence. 163, 113105.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
A pan-sharpening model using dual-branch attention-guided diffusion networks
Zheng, H., Pan, C., Jin, X., Wozniak, M., Wang, P., Lee, S. J. & Jiang, Q., Aug 2025, In: Information Fusion. 120, 103076.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
Causality-Driven Patent Valuation: Integrating Domain Knowledge and Language Models in a Structured Interview-Like Selection Process
Kuo, C. W., Peng, W. C. & Su, H. N., 2025, Technologies and Applications of Artificial Intelligence - 29th International Conference, TAAI 2024, Proceedings. Chu, W.-T., Shen, C.-Y. & Shuai, H.-H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 109-123 15 p. (Communications in Computer and Information Science; vol. 2414 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Prizes
Activities
- 1 Invited talk
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Innovation & Entrepreneurship Ecosystem in post pandemic Era
Chen, S.-H. (Speaker) & Maurya, S. (Speaker)
26 Jul 2020Activity: Talk or presentation › Invited talk