Projects per year
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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Network
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臺印(IN)雙邊協議型擴充加值(add-on)國際合作研究計畫-建構創新生態系:印度與台灣製藥及醫療器材產業之啟示
1/01/22 → 31/12/22
Project: Government Ministry › Ministry of Science and Technology
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技術標準之演化脈絡與知識擴散速度研究
1/08/21 → 31/10/22
Project: Government Ministry › Ministry of Science and Technology
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建構企業轉型為工業型能源產銷合一者之理論架構
1/08/21 → 30/11/22
Project: Government Ministry › Ministry of Science and Technology
Research output
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A boosting resampling method for regression based on a conditional variational autoencoder
Huang, Y., Liu, D. R., Lee, S. J., Hsu, C. H. & Liu, Y. G., Apr 2022, In: Information sciences. 590, p. 90-105 16 p.Research output: Contribution to journal › Article › peer-review
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CASR-Net: A color-aware super-resolution network for panchromatic image
Liu, L., Jiang, Q., Jin, X., Feng, J., Wang, R., Liao, H., Lee, S. J. & Yao, S., Sep 2022, In: Engineering Applications of Artificial Intelligence. 114, 105084.Research output: Contribution to journal › Article › peer-review
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Color multi-focus image fusion based on transfer learning
Wang, Y., Jin, X., Yang, J., Jiang, Q., Tang, Y., Wang, P. & Lee, S. J., 2022, In: Journal of Intelligent and Fuzzy Systems. 42, 3, p. 2083-2102 20 p.Research output: Contribution to journal › Article › peer-review
Prizes
Activities
- 1 Invited talk
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Innovation & Entrepreneurship Ecosystem in post pandemic Era
Shih-Hsin Chen (Speaker) & Shashank Maurya (Speaker)
26 Jul 2020Activity: Talk or presentation › Invited talk