Issam Abu-Mahfouz, Ph.D., P.E.

Issam Abu-Mahfouz, Ph.D., P.E.
Associate Professor of Mechanical Engineering, School of Science, Engineering, and Technology
Program Chair, Mechanical Engineering & Mechanical Engineering Technology
Olmsted Building, W239
W239 OLMSTED BLDG
PENN STATE HBG
MIDDLETOWN, PA 17057

Issam Abu-Mahfouz joined Penn State Harrisburg in 1999 as a faculty of mechanical engineering in the school of Science Engineering and Technology. He has taught courses in computer aided design (CAD), finite element analysis (FEA), automatic controls, mechatronics, instrumentation, fluid power, design for manufacturability, dynamics, vibrations, optimization, energy systems, and smart systems. His research interests include machine condition monitoring, nonlinear vibrations, chaotic dynamics, machinery noise and vibration isolation, and the application of artificial intelligence to manufacturing processes. Dr. Abu Mahfouz continues to provide engineering consulting services in designing and developing new products, vibration and noise isolation, and machinery failure prevention. He is a licensed professional engineer.

ASME Student Club Advisor

Professional Affiliations

  • Member of American Society of Mechanical Engineers (ASME)
  • Member of the Vibration Institute (VI)
  • Member of the Society of Manufacturing Engineers (SME)
  • Member of Society for Experimental Mechanics (SEM)

Nonlinear Vibrations and Chaos

Machine Health Monitoring

Machine Learning for Manufacturing Processes

Rotor Dynamics

Abu-Mahfouz, I. (2021). Machine Learning Acoustic Emission Based Monitoring of Cold Forging for Smart Manufacturing: A Review. Int. J. Eng. Tech. & Inf. 2(3):77‒80, DOI: 10.51626/ijeti.2021.02.00017 

Abu-Mahfouz, I., Banerjee, A., Rahman, E. (2021) . Evolutionary Optimization of Machining Parameters Based on Surface Roughness in End Milling of Hot Rolled Steel. Materials, 14, 5494.

Abu-Mahfouz, I., Banerjee, A., Rahman, E. (2021). Evaluation of Clustering Techniques to Predict Surface Roughness during Turning of Stainless-Steel Using Vibration Signals. Materials, 14, 5050 

Abu-Mahfouz, I., & Rashwan, O. (2020). Student-Centered Assessment of the Capstone Design Project Course in Mechanical Engineering Program. 36(3), 11.  

A. H. M. E. Rahman,  Ayyad, A. M., Abu-Mahfouz, I., Bachert, J. (2020). Corrosion and Adhesion Behavior of Recycled High Density Polyethylene (HDPE) Coated Mild Steel. International Journal of Scientific & Engineering Research 11(9), pp. 978-983, ISSN 2229-5518. 

Abu-Mahfouz, I., Banerjee, A. (2020). Bearing Fault Detection and Identification using Relational Data Clustering with Composite Differential Evolution Optimization. COMADEM, International Journal of Condition Monitoring and Diagnostic Engineering Management, 23(3), pp. 57-61, DOI #: ISSN 1363 – 7681 

Abu-Mahfouz, I., El Ariss, O., Rahman, A., & Banerjee, A. (2017). Surface roughness prediction as a classification problem using support vector machine. The International Journal of Advanced Manufacturing Technology, 92(1-4):803-815,  ISSN: 0268-3768. 

Ph.D. (Case Western Reserve University, Cleveland, Ohio, USA)

B.S.; M.S. (Kuwait University, Kuwait)

Automatic Controls
Measurements and Instrumentation
Fluid Power
Design for Manufacturability (DFM)
Optimization
Energy Systems
Smart Systems