Kwok Ming Angus WU

Dr. Kwok Ming Angus WU, 胡國明

(Former)

Accepting PhD Students

Calculated based on number of publications stored in Pure and citations from Scopus
1990 …2020

Research activity per year

Personal profile

Author IDs

ORCID iD: 0000-0002-7503-1763
Scopus Author ID: 7402998955

Impact

Qualifications (Brief)

Ph.D.

Electrical Engineering

Washington State University, USA

M.Sc.

Electrical Engineering

The Ohio State University, USA

B.Sc.E.E.

Electrical Engineering

The Ohio State University, USA

Biography

Dr. Wu received his Bachelor of Science (summa cum laude) and Master of Science, both in electrical engineering, from The Ohio State University, Columbus, Ohio, USA, in 1985 and 1987, respectively, and his Ph.D. degree in Electrical Engineering from Washington State University , Pullman, Washington, USA, in 1994. 

Before joining the Department of Electronic Engineering at City University of Hong Kong, Dr Wu worked for the National Science Foundation Industry University Cooperate Research Center for Design of Analog Digital Integrated Circuits (CDADIC) at Washington State University, Pullman, Washington, USA since 1988. 

Currently, Dr. Wu is an Assistant Professor in the Department where he teaches EE courses and conducts research in VLSI Design and Intelligent Systems. Dr. Wu has actively involved in setting up the Electronic Design Automation (EDA) Laboratory of the Department that including value of over HKD 92 millions donations from worldwide industries. He has been serving as the Deputy Director of the EDA Laboratory of the Department after joing the Department. 

Dr. Wu is the co-founder and technical consultant of the EDA Service Centre at City University of Hong Kong set up with a grant of HKD 3.2 millions through the Industry Support Fund from The Industry Department of Hong Kong Government to provide services and consultants to the electronic Industries of Hong Kong.

Activities

RESEARCH ACTIVITIES

 

Angus Wu, Principal Investigator, on-going, "Unified Optimal Statistical Design Framework for Design and Yield Optimization ", funded by Research Grants Council, Hong Kong Government, Competitive Earmarked Research Grant

 

Angus Wu, Principal Investigator, on-going, "Instruction Set for Multimedia Computing" funded by City University Strategic Research Grant


 

Angus Wu, Principal Investigator, on-going, "Stochastic Circuit Modeling for Design-for-Manufacturability ", funded by City University Strategic Research Grant


 

Angus Wu, Co-Principal Investigator, Completed, "Time Differential Pulse Coded Reinforcement Learning and Hardware Implementation ", funded by City University Strategic Research Grant


 

Angus Wu, Co-Principal Investigator, on-going, "High-throughput Memory for Sequential Data Access ", funded by City University Strategic Research Grant


 

Angus Wu, Principal Investigator, Completed, "High Performance Pipelined Multiplier with Multiple Bits Adder Cell ", funded by City University Small-Scale Research Gran

Position(s) Available

GRADUATE STUDENTSHIP AVALIABLE AT

CITYUNIVERSITY OF HONG KONG


DEPARTMENT OF ELECTRONIC ENGINEERING

Currently, align with the mission of Hong Kong Education Department; we are able to admit more qualified students for the research programme. 

If you are interested in our research works in:
VLSI,
Control system,
Optimization and intelligent system
Multimedia Computing 

Admission Requirement:
BSc in related area with academic status of GPA 3.85 or above, or 90/100 equivalent
For Ph.D applicant, a strong international journal publication record  is required.


ANGUS WU Ph.D. CEng.(UK)
http://www.ee.cityu.edu.hk/~eeawueed/ 

email: ; [email protected]

Research Interests/Areas

  • VLSI Design
  • Multimedia Computing
  • Evolutionary Computing
  • Intelligent System 

Teaching

URLs/Links

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):

  • SDG 4 - Quality Education
  • SDG 7 - Affordable and Clean Energy

Fingerprint

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  • 1 Similar Profiles
  • A non-revisiting quantum-behaved particle swarm optimization based multilevel thresholding for image segmentation

    Yang, Z. & Wu, A., Aug 2020, In: Neural Computing and Applications. 32, 16, p. 12011–12031 21 p.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    38 Citations (Scopus)
  • A hybird method based on particle swarm optimization and moth-flame optimization

    Yang, Z., Shi, K., Wu, A., Qiu, M. & Hu, Y., 2019, 2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics IHMSC 2019: Proceedings. IEEE, Vol. 2. p. 207-210 8941442. (Proceedings - International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    14 Citations (Scopus)
  • A hybird self-learning method based on particle swarm optimization and salp swarm algorithm

    Yang, Z., Shi, K., Wu, A., Qiu, M. & Wei, X., Dec 2019, 2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP). IEEE, p. 334-338 9012195. (International Conference on Intelligent Control and Information Processing, ICICIP).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    5 Citations (Scopus)
  • A quantum-behaved particle swarm optimization algorithm with extended elitist breeding

    Yang, Z., Qiu, M., Shi, K. & Wu, A., Aug 2019, 2019 9th International Conference on Information Science and Technology (ICIST). IEEE, p. 496-501 8836745. (International Conference on Information Science and Technology).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    1 Citation (Scopus)
  • An Elitist Transposon Quantum-Based Particle Swarm Optimization Algorithm for Economic Dispatch Problems

    Wu, A. & Yang, Z.-L., 17 Jul 2018, In: Complexity. 2018, 7276585.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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    12 Citations (Scopus)
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