• 388 Citations
  • 9 h-Index
1990 …2019
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Fingerprint Dive into the research topics where Issam Abu-Mahfouz is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 18 Similar Profiles
Bearings (structural) Engineering & Materials Science
Evolutionary algorithms Engineering & Materials Science
Wear of materials Engineering & Materials Science
Vibrations (mechanical) Engineering & Materials Science
Neural networks Engineering & Materials Science
Identification (control systems) Engineering & Materials Science
Crack detection Engineering & Materials Science
Fatigue damage Engineering & Materials Science

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Research Output 1990 2019

Bearings (structural)
Fault detection
Composite materials
Rotating machinery
Ball bearings

Hybrid aluminum matrix composites (HAMCs) using powder metallurgy method

Rahman, E., Abu-Mahfouz, I. & Imran Zakir, N. S. M. D., Jan 1 2019, Materials Science and Technology 2018, MS and T 2018. Association for Iron and Steel Technology, AISTECH, p. 1304-1311 8 p. (Materials Science and Technology 2018, MS and T 2018).

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

Powder metallurgy
Aluminum Oxide
Crystal whiskers
1 Citation (Scopus)

Evolutionary clustering algorithms for relational data

Banerjee, A. & Abu-Mahfouz, I., Jan 1 2018, In : Procedia Computer Science. 140, p. 276-283 8 p.

Research output: Contribution to journalConference article

Open Access
Clustering algorithms
Evolutionary algorithms
Particle swarm optimization (PSO)
Learning systems
Composite materials
1 Citation (Scopus)
Open Access
Artificial intelligence
Surface roughness
Particle swarm optimization (PSO)
Genetic algorithms

An infinite model predictive controller for multi input nonlinear processes

Abu-Ayyad, M. A., Abdessameud, A. & Abu-Mahfouz, I., Jan 1 2017, Dynamics, Vibration, and Control. American Society of Mechanical Engineers (ASME), Vol. 4A-2017.

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

Dynamic models
Disturbance rejection