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Staff Profile

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Dr. Lee Hui En

Lecturer
Electrical and Electronic Engineering, BEng (Hons) (SUTS), PhD (SUTS)

Faculty of Engineering, Computing and Science

Office No:+60 82 260 683
Fax No:+60 82 260 813
Room No: E331, Building E, FECS
Email: helee@swinburne.edu.my
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Biography

Dr. Lee Hui En received his BEng (Hons) degree in Electrical and Electronic Engineering from Swinburne University of Technology, Sarawak Campus, Malaysia in 2019. He completed his PhD in Electrical and Electronics Engineering at the same university by submitting his thesis titled “Geo-tracing of Black Pepper using Metal Oxide Semiconductor Gas Sensors” in 2022. After completing his PhD, he joined Swinburne University of Technology, Sarawak Campus, Malaysia as a lecturer in Electrical and Electronic Engineering.

His research interests include green energy, sensors in food analysis and machine learning.

Research Interests

  • Green Energy
  • Sensors in food analysis
  • Machine learning

Professional Memberships

  • Graduate Member, Board of Engineers Malaysia

PhD/Master by Research Opportunities

Potential research higher degree candidates are welcome to enquire about postgraduate opportunities in the area of metal oxide semiconductor gas sensors. Please contact Dr. Lee Hui En for more information.


  • Publications

Publications

  • Journal paper H. E. Lee, Z. J. A. Mercer, S. M. Ng, M. Shafiei, and H. S. Chua, “Geo-tracing of black pepper using metal oxide semiconductor (MOS) gas sensors array,” IEEE Sensors Journal, vol. 20, no. 14, pp. 8039-8045, 2020, doi: 10.1109/JSEN.2020.2981602.
  • Conference paper E. Lee, Z. J. A. Mercer, S. M. Ng, M. Shafiei, and H. S. Chua, “Metal Oxide Semiconductor Gas Sensors-based E-nose and Two-stage Classification: Authentication of Malaysia and Vietnam Black Pepper Samples,” in 2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN), 29 May-1 June 2022, pp. 1-4, doi: 10.1109/ISOEN54820.2022.9789618.
  • Conference paper E. Lee, H. S. Chua, Z. J. A. Mercer, S. M. Ng, and M. Shafiei, “Fraud detection of black pepper using metal oxide semiconductor gas sensors,” in 2021 IEEE Sensors, 31 Oct.-3 Nov. 2021, pp. 1-4, doi: 10.1109/SENSORS47087.2021.9639658.
  • Conference paper J. Y. Tan, H. E. Lee, S. M. Ng, and H. S. Chua, “Smart IoT-based Waste Monitoring System,” 2019 International UNIMAS STEM 12th Engineering Conference (EnCon), 2019, pp. 40-45, doi: 10.1109/EnCon.2019.8861263.