• 20470 Citations
  • 71 h-Index
1988 …2019
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Personal profile

Research interests

Dr. Zhou´s research interests focus on Computer-Integrated Manufacturing, Intelligent Automation, Petri Nets, Neural Network for tool wear measurement, Fuzzy Logic for process control, Computer Network and Interface, Discrete Event Control and Simulation, and Flat-Panel Display manufacturing.

Education/Academic qualification

Rensselaer Polytechnic Institute

… → 1990

Beijing Institute of Technology

… → 1986

East China University Of Technology

… → 1983

Electrical and Computer Engineering

2013 → …

2013 → …

Electrical and Computer Engineering

1995 → …

External positions

Research Assistant, Rensselaer Polytechnic Institute

19871990

Software Engineer, Institute for Computer Application

19851987

Research Assistant, Beijing Institute of Technology

19831985

Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Petri nets Engineering & Materials Science
Scheduling Engineering & Materials Science
Siphons Engineering & Materials Science
Flexible manufacturing systems Engineering & Materials Science
Supervisory personnel Engineering & Materials Science
Controllers Engineering & Materials Science
Particle swarm optimization (PSO) Engineering & Materials Science
Semiconductor materials Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1988 2019

Adaptively Adjusting Dynamic Detection Cycle for Fault Detection in Clouds

Zhang, P., Shu, S. & Zhou, M., Jan 16 2019, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., p. 4047-4052 6 p. 8616683. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

New Jersey Institute of Technology

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

Fault detection
Decision trees
Support vector machines
2 Citations (Scopus)

An ABC-Based Subway Timetable Optimization Model for Regenerative Energy Utilization

Liu, H., Zhou, M., Guo, X., Liu, H. & Tang, T., Jan 16 2019, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., p. 1416-1421 6 p. 8616243. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

New Jersey Institute of Technology

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

Subways
Energy utilization
Mathematical models
Travel time
Experiments

An Adaptive Pre-clustering Support Vector Machine for Binary Imbalanced Classification

Di, Z., Yao, S., Kang, Q. & Zhou, M., Jan 16 2019, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., p. 681-686 6 p. 8616120. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

New Jersey Institute of Technology

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

Support vector machines
Artificial intelligence
Learning systems
Sampling
Experiments

An Efficient Cooperative Medium Access Control Protocol for Wireless IoT networks in Smart World System

Mahmud, M. T., Rahman, M. O., Hassan, M. M., Almogren, A. & Zhou, M., May 1 2019, In : Journal of Network and Computer Applications. 133, p. 26-38 13 p.

New Jersey Institute of Technology

Research output: Contribution to journalArticle

Medium access control
Network protocols
Communication
Data communication systems
Wireless networks

An embedded feature selection method for imbalanced data classification

Liu, H., Zhou, M. & Liu, Q., May 1 2019, In : IEEE/CAA Journal of Automatica Sinica. 6, 3, p. 703-715 13 p., 8677302.

New Jersey Institute of Technology

Research output: Contribution to journalArticle

Feature extraction
Decision trees
Statistics
Classifiers