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Personal profile


Dr. Patrick W. C. Ho completed his Bachelor of Engineering with first class honours in 2009, and he created an Intelligent traffic light system for his final year project. He graduated from Masters in Science in 2012, by developing a prototype for a voice-automated elevator system. He completed his PhD in Electronics Engineering in 2016 from the University of Nottingham Malaysia Campus, and his dissertation was entitled “Non-volatile FPGA architecture using resistive switching devices”.

He was offered a job with Intel Microelectronics as a Graduate Trainee before he even graduated from his degree. He then worked for Altera Corporation as a Design Engineer before pursuing his Masters. While doing his PhD, he gained teaching experience with Methodist College Kuala Lumpur (MCKL) teaching A-levels Physics. Towards completing his PhD, he was hired as a sessional staff by Monash University.

In 2017, he signed for Monash University as a Scholarly Teaching Fellow in the department of Electrical & Computer Systems Engineering (ECSE). He currently the unit coordinator for: ECE2131 Electrical Circuits, ECE4063 Large Scale Digital Design, PHS1002 Physics for Engineering, and ECE2072 Digital Systems. He has also previously assisted in ENG1002 Engineering design: Cleaner, safer, smarter, and ECE2071 - Computer organisation and programming. Apart from teaching responsibilities, he is also the industrial training advisor for ECSE, and was formerly the ECSE Industry Advisory Panel (IAP) representative.

Research interests

Dr. Patrick Ho’s research area involved modelling and simulation of non-volatile memories, especially memristors, in various FPGA and VLSI-related applications with various simulation models and parameters.

His current research in memristors have recently produced a Q1 journal article in the Journal of Semiconductor Science and Technology, entitled "Multilevel memristive non-volatile look-up table using two transmission gates one memristor memory cells".

He is also currently in collaboration with CAD-IT and is partially assisting them in research in the areas of image-processing, object dectection and recognition, and articial intelligence. CAD-IT have recently co-sponsored three students for their Final Year Projects (FYP).

Monash teaching commitment

  • PHS1002 - Physics for Engineering
  • ENG1002 - Engineering Design: Cleaner, Safer, Smarter
  • ECE2131 - Electrical Circuits
  • ECE2072 - Digital Systems
  • ECE4063 - Large Scale Digital Design

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy

Research area keywords

  • Memristor
  • Semiconductors
  • Non-volatile memories
  • Nanotechnology
  • Image Processing and Computer Vision
  • Machine Learning
  • Artificial Intelligence
  • Very Large Scale Integration (VLSI)
  • Electrical engineering
  • Digital Design
  • Electronics

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or