• Visiting Instructional Professor, Engineering Technology & Industrial Distribution,
  • Master of Engineering Technical Management
Google Scholar Profile
Behbood Zoghi

Educational Background

  • Ph.D., Bioengineering/Electrical Engineering, Texas A&M University – 1993
  • M.S., Electrical Engineering, The Ohio State University – 1986
  • B.S., Electrical Engineering, Seattle University – 1982

Research Interests

    • Radio frequency identification and sensor
    • Artificial intelligence and machine learning for technical leadership development
    • Emotional intelligence in leadership development

Awards & Honors

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

Selected Publications

  • Y. Liu, A. T. Zavareh and B. Zoghi, "Enhancing Well-Being and Alleviating Stress via Wearable-Driven Emotion Recognition and EQ Intentional Practice With Deep Reinforcement Learning," in IEEE Sensors Letters, vol. 9, no. 1, pp. 1-4, Jan. 2025
  • Liu, Y., Lu, W., Zavareh, A. T., and Zoghi, B. 2024. 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, 24(9).
  • 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, vol 24, no 1. Fall/Winter 2023
  • 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,” International Journal of Technology Transfer and Commercialisation 2023 20:4, 412-428
Google Scholar Profile