Lab Director

Prof. Philip Pong

Philip W. T. Pong is an Associate Professor of Electrical Engineering at the New Jersey Institute of Technology, Director of the Sensors Laboratory, and Director of the Power Systems Engineering Center. His research focuses on the development and application of advanced electromagnetic sensing technologies for power, energy, and complex engineered systems, with emphasis on contactless monitoring, grid resilience, and intelligent infrastructure.

He received his Ph.D. in Electrical Engineering from the University of Cambridge. He was a postdoctoral researcher at the National Institute of Standards and Technology in the United States. He began his academic career at the University of Hong Kong before joining NJIT in 2021.

His work spans sensor physics, electrical machines, power electronics, and smart energy systems, integrating experimental validation with real-time simulation and system-level analysis.

Honors & Awards

• Top 0.5% Scholar in “Sensor” by ScholarGPS

• IEEE Power & Energy Society Chapter Outstanding Engineer Award (North Jersey)

• Excellence in Teaching Award, NJIT Newark College of Engineering

• Nexus of Excellence Award – Excellence in Graduate Instruction, NJIT

• Fellow, The Institution of Engineering and Technology (FIET)

• Fellow, The Institute of Physics (FInstP)

• Fellow, The Energy Institute (FEI)

• Fellow, The Institute of Materials, Minerals and Mining (FIMMM)

• Fellow, The Hong Kong Institution of Engineers (FHKIE)

• Senior Member, IEEE

• Chartered Engineer (CEng)

• Chartered Physicist (CPhys)

• Chartered Energy Engineer

• Association for Computing Machinery (ACM) Distinguished Speaker

Academic Leadership

Provides academic leadership in research, education, and program development across interdisciplinary initiatives in power and energy systems.

– Founding Director, Power Systems Engineering Center

– Founding Director, Future Power Academy (workforce and professional training initiative)

– Program Advisor, Master and Graduate Certificate Programs in Power and Energy Systems

– Program Advisor, Graduate Certificate Programs in Clean Energy

Professional Service & Standards Development

– Chair, IEEE Magnetics Society Standards Committee

– Chair, IEEE Standard Working Group (P3387), Guide for Contactless Current Measurement for High-Voltage (4.76 kV to 800 kV) Multi-Phase Multi-Core Power Cables Based on Magnetic Field Sensing

– Member, IEEE Standards Association Fellowship Committee

– Editorial board service for peer-reviewed journals in power systems, sensing, and applied physics, including IEEE Journal of Selected Areas in Sensors, IEEE Internet of Things, IEEE Transactions on Magnetics, IEEE Magnetics Letters.

Education & Mentorship

Education and mentorship in the Sensors Laboratory emphasize the integration of rigorous coursework with hands-on research and professional development. The Lab Director’s teaching and advising activities are designed to connect fundamental principles with real-world engineering systems, preparing students to work across sensing, power, energy, and other complex engineered domains.

The Lab Director has extensive experience mentoring researchers across all career stages, including postdoctoral researchers, PhD students, master’s students, undergraduate researchers and capstone teams, and pre-college (high school) interns. Mentorship focuses on cultivating research independence, systems-level thinking, interdisciplinary collaboration, and long-term career development. Students and trainees are guided not only in technical research, but also in scholarly communication, project leadership, and preparation for careers in academia, industry, and government.

Educational activities span both graduate and undergraduate levels. Current teaching includes ECE 442 Power Systems and ECE 619 Intelligent Sensing for Smart Grid and Smart City, which integrate sensing, data-driven methods, and system-level perspectives. Previous teaching experience includes courses in Electromagnetic Field Theory, Electric Railway Signaling, Numerical Methods, and Optimization, reflecting a broad foundation in electromagnetics, systems, and applied computation that informs ongoing research and training activities in the laboratory.

External Profiles

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