Philip Pong
Philip Pong
Associate Professor, Electrical and Computer Engineering
327 Electrical and Computer Engineering Center (ECEC)
About Me
Philip W. T. Pong received a B.Eng. from the University of Hong Kong (HKU) in 2002 with 1st class honours. Then he studied for a PhD in engineering at the University of Cambridge (2002-2005). He was a postdoctoral researcher at the Magnetic Materials Group at the National Institute of Standards and Technology (NIST) for three years. His research interest currently focuses on the development and application of advanced sensing techniques based on electromagnetic sensors in smart grid and nanotechnology. Philip Pong is a Fellow of the Institution of Engineering and Technology (FIET), a Fellow of the Energy Institute (FEI), a Fellow of the Institute of Materials, Minerals and Mining (FIMMM), a Fellow of the NANOSMAT Society (FNS), a chartered physicist (CPhys), a chartered electrical engineer (CEng), a chartered energy engineer, a registered professional engineer (R.P.E. in Electrical, Electronics, Energy), a Senior Member of IEEE (SMIEEE) and a corporate member of HKIE (MHKIE in Electrical Division and Electronics Division). He serves on the editorial boards for several IEEE and SCI journals.
Education
Ph.D.; University of Cambridge; Engineering; 2005
B.Eng.; The University of Hong Kong; Electrical And Electronic Engineering; 2002
B.Eng.; The University of Hong Kong; Electrical And Electronic Engineering; 2002
Website
2024 Spring Courses
ECE 417 - ELECT AND COMP ENGR PROJ II
ECE 726 - INDEPENDENT STUDY II
ECE 790A - DOCTRL DISSRTN & RESEARCH
ECE 442 - POWER SYSTEMS
ECE 792B - PRE-DOCTORAL RESEARCH
ECE 700B - MASTER'S PROJECT
ECE 726 - INDEPENDENT STUDY II
ECE 790A - DOCTRL DISSRTN & RESEARCH
ECE 442 - POWER SYSTEMS
ECE 792B - PRE-DOCTORAL RESEARCH
ECE 700B - MASTER'S PROJECT
Teaching Interests
Current courses:
ECE 442 Power Systems
ECE 700 Master's project
ECE 701 Master's thesis
Previously, I taught on electricity and magnetism, fundamental of electromagnetics, electric railway systems, numerical methods, optimization
ECE 442 Power Systems
ECE 700 Master's project
ECE 701 Master's thesis
Previously, I taught on electricity and magnetism, fundamental of electromagnetics, electric railway systems, numerical methods, optimization
Past Courses
ECE 442: POWER SYSTEMS
ECE 442: POWER SYSTEMS ELECTIVE
ECE 619: INTELLIGENT SENSING FOR SMART GRID AND SMART CITY
ECE 698: SELECTED TOPICS IN ELECTRICAL AND COMPUTER ENGINEERING
ECE 442: POWER SYSTEMS ELECTIVE
ECE 619: INTELLIGENT SENSING FOR SMART GRID AND SMART CITY
ECE 698: SELECTED TOPICS IN ELECTRICAL AND COMPUTER ENGINEERING
Research Interests
Development and application of advanced sensing techniques based on electromagnetic sensors in smart grid, non-contact sensing, sensors for cyber-physical systems
Journal Article
Pong, Wing Tat (2021). Cyber-Enabled Grids: Shaping Future Energy Systems. Advances in Applied Energy, 1, 100003.
Pong, Wing Tat (2021). A Portable Power Quality Monitoring Approach in Microgrid with Electromagnetic Sensing and Computational Intelligence. IEEE Transactions on Magnetics, 57, 4000506.
Pong, Wing Tat (2021). A String-Current Behavior and Current Sensing Based Technique for Line-Line Fault Detection in Photovoltaic Systems. IEEE Transactions on Magnetics, 57, 6100206.
Pong, Wing Tat (2020). Tunable magnetic low-frequency noise in magnetic tunnel junctions: effect of shape anisotropy. Journal of Physics: Condensed Matter, 32, 495805.
Pong, Wing Tat (2020). Fault Classification of Power Distribution Cables by Detecting Decaying DC Components with Magnetic Sensing. IEEE Transactions on Instrumentation and Measurement, 69, 2016.
Pong, Wing Tat (2021). A Portable Power Quality Monitoring Approach in Microgrid with Electromagnetic Sensing and Computational Intelligence. IEEE Transactions on Magnetics, 57, 4000506.
Pong, Wing Tat (2021). A String-Current Behavior and Current Sensing Based Technique for Line-Line Fault Detection in Photovoltaic Systems. IEEE Transactions on Magnetics, 57, 6100206.
Pong, Wing Tat (2020). Tunable magnetic low-frequency noise in magnetic tunnel junctions: effect of shape anisotropy. Journal of Physics: Condensed Matter, 32, 495805.
Pong, Wing Tat (2020). Fault Classification of Power Distribution Cables by Detecting Decaying DC Components with Magnetic Sensing. IEEE Transactions on Instrumentation and Measurement, 69, 2016.
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