Ben Zoghi, Ph.D., PE

Dr. Ben Zoghi

Ben Zoghi, Ph.D. PE

Bobby B. Lyle Endowed Professor of Engineering Innovation, Department of Electrical and Computer Engineering
Associate Dean for Advanced Studies and Industrial Partnerships
Executive Director of Hart Center for Engineering Leadership

Office Location: Caruth 257, Junkins 330

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Education

  • Ph.D., Biomedical and Electrical Engineering, December 1993, Texas A&M University

  • M.S., Electrical Engineering, May 1986, The Ohio State University

  • B.S. Electrical Engineering, March 1982, Seattle University

Biography

 

Dr. Ben Zoghi serves as the Associate Dean for Advanced Studies and Industrial Partnerships, Executive Director of Hart Center for Engineering Leadership, Bobby B. Lyle Endowed Professor of Engineering Innovation and Professor of Electrical and Computer Engineering in the Lyle School of Engineering at SMU. He also has a courtesy faculty fellowship appointment with the Los Alamos National Laboratory. His research interests are RFID/Sensor technology and how to utilize wearable technology and artificial intelligence (AI)/ machine learning (ML) to develop technical leaders. During his 37 years tenure with Texas A&M College of Engineering, Ben secured over $15M in grants, 9 books and book-chapters and has over 125 peer-reviewed conference and journal papers.

 

Honors and Awards

  • 2024 Texas A&M College of Engineering Prestigious Genesis Award
  • 2008 Texas A&M University Level Association of Former Students' Distinguished Achievement Award in Teaching

Research

  • RFID/Sensor

  • AI/ML for Technical Leadership Development

  • Emotional Intelligence in Leadership Development


     

Recent Publications

  • Aguilar, K, Benden, M., Smith, M., Zoghi, B., Payne, S., Zhao, H., “A Two-year Follow-up Study of Musculoskeletal Discomfort, Physical Activity, and Computer-Use Metrics in Office Workers after Long-term Remote Work,” WORK: A Journal of Prevention, Assessment & Rehabilitation.

  • Meehleib, J, Thompson, T., and Zoghi, B., “Optimization of the Batch Manufacturing Process of Three-Cell and Five-Cell Battery Power Pack Products”, Technology Interface International Journal, no. Fall 2023, Feb. 2024, doi: 10.5281/zenodo.10719856.

  • Liu, Y., Lu, W., Zavareh, A., Zoghi, B., “Enhancing Well-Being and Alleviating Stress via WearableDriven Emotion Recognition and EQ Intentional Practice with Deep Reinforcement Learning,” IEEE Sensors Letters, SENSL-23-08—0744, 31-Aug-2023.

  • Liu, Y., Lu, W., Zavareh, A., Zoghi, B., “Work-In-Progress: Investigate Eye-tracking Metrics and Effectiveness of Visual Learning Aids in Online Learning Environments for Students with Learning Disabilities using Machine Learning,” Journal of Higher Education Theory and Practice (ISSN# 2158-3595), volume 24(9), 2024.

  • Hannam, J., Zoghi, B., “Navigating commercialization challenges during a period of market instability: a case study of RFID tag-based products in the oil and gas industry,” Int. J. Technology Transfer and Commercialization, Vol. 20, No. 4, 2023.