Amit Banerjee, Ph.D.

Associate Professor of Mechanical Engineering, School of Science, Engineering, and Technology
Associate Program Chair, Mechanical Engineering
Program Coordinator, Minor in Mechatronics, Minor in Mechatronics Technology
Olmsted Building, W239

Amit Banerjee joined the faculty of Mechanical Engineering as an Assistant Professor in the School of Science, Engineering and Technology at Penn State Harrisburg in 2008. He has been an Associate Professor since 2014 and Associate Program Chair since 2016. He is also the Coordinator for the Mechatronics and Mechatronics Technology Minors at Penn State University. He has taught courses in Mechanics, Machine Design and Robotics. His research interests include Nonlinear Optimization, Artificial Intelligence and Machine Learning, Applications of AI and ML in Manufacturing and Robotics, Engineering Design, Computational Modeling and Study of Cognition and Creativity in Design.

Professional Affiliations

  •  Member, Institute of Electronics and Electrical Engineers (IEEE)
  • Member, American Society of Mechanical Engineers (ASME)
  • Fellow, Association of Computer, Electronics and Electrical Engineers (ACEEE)
  • Nonlinear Optimization
  • Artificial Intelligence and Machine Learning
  • Evolutionary Computation
  • Automation for Manufacturing
  • Product Design
  • Creativity and Cognition

Banerjee, A., and I. Abu-Mahfouz, “A Novel Adaptive FCM with Cooperative Multi-Population Differential Evolution Optimization.” Algorithms 15(10), 380, 2022. doi: 10.3390/a15100380

Banerjee, A., Abu-Mahfouz, I., Tian, J., and E. Rahman, “A Robust Hybrid Machine Learning-Based Modeling Technique for Wind Power Production Estimates.” In Proc. ASME International Mechanical Engineering Conference and Exposition (IMECE’22), Paper No. IMECE2022-94173, Columbus, OH, 2022.

Abu-Mahfouz, I., Banerjee, A., and E. Rahman, “Evolutionary Optimization of Machining Parameters Based on Surface Roughness in End Milling of Hot Rolled Steel.” Materials 14(19), 5494, 2021. doi: 10.3390/ma14195494

Abu-Mahfouz, I., Banerjee, A., and E. Rahman, “Evaluation of Clustering Techniques to Predict Surface Roughness during Turning of Stainless-Steel Using Vibration Signals.” Materials 14(17), 5050, 2021. doi: 10.3390/ma14175050

Ayub, A., Morales, A., and A. Banerjee, “Using Markov Decision Process to Model Deception for Robotic and Interactive Game Applications.” In Proc. IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, 2021.

Abu-Mahfouz, I., and A. Banerjee, “Bearing Fault Detection and Identification Using Relational Data Clustering with Composite Differential Evolution Optimization.” International Journal of COMADEM 23(3), 57-61, 2020.

Gao, W., Yang, S., Tuan, J., Banerjee, A., and F. Yan, “Construction and Application of Barrel Finishing Underlying Database Platform.” Cluster Computing 22 (6), 15367-15378, 2019.

Zhang, S., Tian, J., Banerjee, A., and J. Li, “An Efficient Porcine Acoustic Signal Deoinising Technique based on EEMD-IAC-WTD.” Mathematical Problems in Engineering, 2019. doi: 10.1155/2019/2858740

Zhang, S., Tian, J., Banerjee, A., and J. Li, “Automatic Recognition of Porcine Abnormalities based on a Sound Detection and Recognition System.” Transactions of ASABE 62(6), 1755-1765, 2019. doi: 10.13031/trans.12975

Abu-Mahfouz, I., El Ariss, O., Rahman, E, and A. Banerjee, “Surface Roughness Prediction as a Classification Problem Using Support Vector Machines.” International Journal of Advanced Manufacturing Technology 92, 803-815, 2017. doi: 10.1007/s00170-017-0165-9

B.S.; M.Des.; Ph.D. (New Jersey Institute of Technology)

ME 367: Machine Design
ME 456: Introduction to Robotics
ME 556: Robotic Concepts