Department of Engineering Science

Organization profile

Organisation profile

As compared with the departments having a specialized program for electrical engineering, mechanical engineering, and computer science, the Department of Engineering Science offers the discipline underpinning all modern engineering practice. Students of our department develop a broad view of the subject to accomplish system integration, but can also choose from a very wide range of specialist options including computer engineering, control engineering, applied mechanics and so on. Our department comprises of five research groups (and their research fields as listed below) that are responsible for undergraduate teaching, graduate student affairs, and research. A.Electrical Control and Communication: electronic design automation, automatic control, and communication and signal processing. B.Computer Science and Its Applications: software engineering, artificial intelligence, real-time computing, computer networking, and multimedia applications. C.Quantum Computing: quantum technology, quantum informatics, quantum control, and quantum biology. D.Applied Mechanics: system in package (SiP), thermo-fluid sciences, solid mechanics, and system simulation. E.System Integration, Nano and Bio Technology: micro/nano-technology, semiconductor manufacturing, electronic packaging, microfluidics, nano-mot-motor (NMM), microelectromechanical systems (MEMS), biochip, and optoelctronics.

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Microfluidics Engineering & Materials Science
Students Engineering & Materials Science
Communication Engineering & Materials Science
Code division multiple access Engineering & Materials Science
Wireless networks Engineering & Materials Science
Wireless sensor networks Engineering & Materials Science
Synchronization Engineering & Materials Science
Microchannels Engineering & Materials Science

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Projects 1995 2020


Li, C.


Project: Research project


Yang, R.


Project: Research project


Yang, R.


Project: Research project

Research Output 1979 2020

Agricultural pests damage detection using deep learning

Chen, C. J., Wu, J. S., Chang, C. Y. & Huang, Y-M., 2020 Jan 1, Advances in Networked-based Information Systems - The 22nd International Conference on Network-Based Information Systems, NBiS 2019. Barolli, L., Nishino, H., Enokido, T. & Takizawa, M. (eds.). Springer Verlag, p. 545-554 10 p. (Advances in Intelligent Systems and Computing; vol. 1036).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Damage detection
Network architecture
Application programs
Support vector machines

Exceeding the performance of two-tier fat-tree: equality network topology

Yang, C. Y., Liang, C. H., Wu, H. L., Cheng, C. H., Li, C. C., Chen, C. M., Huang, P. L. & Hwang, C. C., 2020 Jan 1, Lecture Notes in Networks and Systems. Springer, p. 1187-1199 13 p. (Lecture Notes in Networks and Systems; vol. 70).

Research output: Chapter in Book/Report/Conference proceedingChapter

Trees (mathematics)
Oils and fats
Network performance

Q-learning based collaborative cache allocation in mobile edge computing

Chien, W. C., Weng, H. Y. & Lai, C. F., 2020 Jan, In : Future Generation Computer Systems. 102, p. 603-610 8 p.

Research output: Contribution to journalArticle

Augmented reality
Reinforcement learning
Data communication systems
Virtual reality

Student theses


Author: 貴彬, 邱., 2019

Supervisor: Chen, J. (Supervisor)

Student thesis: Master's Thesis


Author: 乃安, 王., 2014 Sep 3

Supervisor: Lin, Y. (Supervisor)

Student thesis: Master's Thesis


Author: 姝樺, 錢., 2014 Jul 16

Supervisor: Shaw, H. (Supervisor)

Student thesis: Master's Thesis