Green Technology Research and Training Laboratory

 

Sensor Research Laboratory

 

HOME

RESEARCH

GROUP

PUBLICATIONS

HONOURS

PROFESSIONALS

TEACHING

IEEE

OTHERS

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

The Green Technology Research and Training Laboratory and Sensor Research Laboratory work on sensors, smart grid and smart city to enable green technologies. We endeavor to advance energy efficiency and renewable energy by developing sensors and sensing systems together with machine learning and Internet-of-Things to establish intelligent sensing platforms that acts as important parts of cyber-physical systems such as power grids or autonomous systems. Our research programs aim to achieve predictive maintenance and anomaly detection to safeguard the uninterrupted operations of critical energy infrastructures. By continuously monitoring and analyzing available machinery data to detect early signs of degradation or failures, our technologies can effectively avoid damaging malfunctions, reduce downtime, increase efficiency, and enhance industry competitiveness. Our training programs nurture future engineers, scientists and researchers for the Age of Clean Energy and the Age of Sensors. The core activities of the Laboratories include fundamental scientific studies, practical engineering projects, technology commercialization, community outreach and STEM education to K-12 students and under-represented students.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Philip W. T. Pong

 

 

 

 

 

 

 

PhD, FIET, FInstP, FIMMM, FEI, FHKIE, FNS, SMIEEE, CEng, CPhys, R.P.E.

 

 

 

Chartered Energy Engineer

 

 

 

Associate Professor

 

 

 

Director - Green Technology Research and Training Laboratory, Sensor Research Laboratory

 

 

 

 

 

 

 

ECEC 327, Department of Electrical and Computer Engineering,

 

 

 

New Jersey Institute of Technology, Newark, NJ 07102, United States

 

 

 

 

 

 

 

Email: philip.pong@njit.edu

 

 

 

Office phone: +1 973-596-3533

 

 

 

 

 

 

Google scholar

curriculum vitae

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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. He started his academic career at the University of Hong Kong, then he joined the NJIT in 2021. His research interest currently focuses on the development and application of advanced sensing techniques based on electromagnetic sensors in smart grid and smart city. Philip Pong is a Fellow of the Institution of Engineering and Technology (FIET), a Fellow of the Institute of Physics (FInstP), a Fellow of the Energy Institute (FEI), a Fellow of the Institute of Materials, Minerals and Mining (FIMMM), a Fellow of the Hong Kong Institution of Engineers (FHKIE), 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), and a Senior Member of IEEE (SMIEEE). He serves on the editorial boards for several IEEE and SCI journals.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Our Laboratories look for PhD/master students and postdocs who are interested in sensor research. We also welcome visiting students/scholars/professors for academic and research exchange and international collaboration. Students/clubs plan to use sensors in contests and competitions may partner with the Laboratory. Please contact Philip Pong for further discussion.