Academic Profile : Faculty
Dr Muhammad Faeyz Karim
Senior Lecturer, School of Electrical & Electronic Engineering
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Dr. Karim received his B.Eng. from National University of Sciences and Technology (NUST), MSc and PhD from Nanyang Technological University (NTU), Singapore and MBA from University of Lancaster, UK. Before joining NTU, he worked as Deputy Department Head/Project Manager/Research Scientist at Institute for Infocomm Research (I2R), A*STAR from 2007-2017. He also held concurrent appointment as an Adjunct Assistant Professor at National University of Singapore, (NUS) from 2009-2017. He worked as a Test Engineer at Emerson Process Management, a US MNC and prior to that employed as a Research Associate/RF Engineer at NTU. He is a co-founder of a spinoff company, Wavescan Technologies Pte Ltd.
Dr. Karim has published more than 80 scientific journal and conference papers and also co-authored a book on “RF MEMS Switches and Integrated Switching Circuits”. His research interest is in the area of active/passive millimeter wave radar sensing and imaging, Quantum optics and engineering, silicon photonics, wireless power transfer and harvesting, chipless RFID, tunable & reconfigurable circuits and passive microwave and millimeter components and modules.
Dr. Karim was part of the committee involved in organizing international technical conferences like IEEE APMC 2019, IEEE AWPT 2017, IEEE TENCON 2016, IEEE IMWS conference 2013 & Microwave Photonics Conference (MWP), 2011 in Singapore. He is a Senior Member of IEEE and also the Chair of IEEE Singapore Section.
Dr. Karim has published more than 80 scientific journal and conference papers and also co-authored a book on “RF MEMS Switches and Integrated Switching Circuits”. His research interest is in the area of active/passive millimeter wave radar sensing and imaging, Quantum optics and engineering, silicon photonics, wireless power transfer and harvesting, chipless RFID, tunable & reconfigurable circuits and passive microwave and millimeter components and modules.
Dr. Karim was part of the committee involved in organizing international technical conferences like IEEE APMC 2019, IEEE AWPT 2017, IEEE TENCON 2016, IEEE IMWS conference 2013 & Microwave Photonics Conference (MWP), 2011 in Singapore. He is a Senior Member of IEEE and also the Chair of IEEE Singapore Section.
- Active/passive millimeter wave radar sensing and imaging systems
- Quantum optics and engineering
- Silicon photonics
- RF MEMS devices
- RF/hybrid energy harvesting & wireless power transfer
- Chipless RFID
- Flexible electronics
- Tunable & reconfigurable circuits
- Passive microwave and millimetre components and modules
- Quantum optics and engineering
- Silicon photonics
- RF MEMS devices
- RF/hybrid energy harvesting & wireless power transfer
- Chipless RFID
- Flexible electronics
- Tunable & reconfigurable circuits
- Passive microwave and millimetre components and modules
- Flexible/Bendable mmWave Wireless Power and Information Transfer Platform
- P6.1 Robot Fleet for Instantaneous Network Infrastructure Build-up
- Photonic Integrated Circuits for Quantum and Optical Devices (PICQOD)
- Quantum Topological Devices And 3D Nanophotonic Integration
- Screening of SARS-CoV-2 Covalent Entry Inhibitors using Photonic Nanowell Plate with Single Virus Resolution
- The Integrated Optofluidic System for Fast E. Coli Detection in Drinking Water
US 2021/0278499 A1: Radar Sensor (2022)
Abstract: Example embodiments describe a radar sensor, whereby the radar sensor comprises a pair of continuous wave (CW) radar transceivers that each has a leaky wave antenna that are provided adjacent to each other. Each CW radar transceiver comprises a microwave frequency transmission circuit configured to transmit and receive signals reflected off a nearby object. The transmitted and received signals are then processed by the radar sensor to determine a relative displacement between the detected object and the radar sensor. This determined relative displacement may then be used with machine learning techniques to identify dynamic gestures made within the radar sensor's range of detection.
Abstract: Example embodiments describe a radar sensor, whereby the radar sensor comprises a pair of continuous wave (CW) radar transceivers that each has a leaky wave antenna that are provided adjacent to each other. Each CW radar transceiver comprises a microwave frequency transmission circuit configured to transmit and receive signals reflected off a nearby object. The transmitted and received signals are then processed by the radar sensor to determine a relative displacement between the detected object and the radar sensor. This determined relative displacement may then be used with machine learning techniques to identify dynamic gestures made within the radar sensor's range of detection.