Awards

• IEEE CASS Distinguished Lecturer for 2025-2026

IEEE Circuits and Systems Society (CASS) Distinguished Lecturer Program, CASS Education and Communications Division, IEEE, January 2025

• Certificate of Commendation for Excellence - Research & Innovation (Team: Chi-Tsun (Ben) Cheng and Toh Yen Pang)

STEM College, RMIT University, December 2024

• Vice-Chancellor’s Award for Research Engagement and Impact (Team: Chi-Tsun (Ben) Cheng, Toh Yen Pang, and Dr Azizur Rahman) 

RMIT University, November 2024

• Best 3 Associate Editors Award, IEEE JETCAS

One of the three Best Associate Editors, IEEE Circuits and Systems Society (CASS), 2023

• STEM Digital Educator Award

STEM College, RMIT University, September 2023

• Best Presenter (HDR student: George Wu)

  • For the paper "Geometric Distortion Detection in Fused Filament Fabrication Using Augmented Reality and Computer Vision." 7th International Conference on Sustainable Innovation (ICOSI 2023), August 2023

• Best 3 Associate Editors Award, IEEE TCAS-II

One of the three Best Associate Editors, IEEE Circuits and Systems Society (CASS), 2022

• Certificate of Recognition

For Excellence in Learning and Teaching for the course MANU2071, Industry 4.0 Technologies in 2021,
School of Engineering,  RMIT University, May 2022

• Certificate of Recognition

For Excellence in Learning and Teaching for the course MANU1420, Manufacturing Systems Modelling in 2021, 
School of Engineering,  RMIT University, May 2022

• Certificate of Recognition

For outstanding achievement in research income in 2021,
School of Engineering,  RMIT University, April 2022

• Certificate of Excellence

Recognition of outstanding teaching performance in Semester 2, 2019 in MANU2071 Manufacturing Strategy and Planning, RMIT University

• 2019 ROSE Award #1

Recognition of Outstanding Student Experience (ROSE) in Semester 2, 2019 in MANU2071 Manufacturing Strategy and Planning, RMIT University. This course achieved an outstanding overall Good Teaching Score of 100% and an Overall Satisfaction Index of 100% in Semester 2, 2019.

• 2019 ROSE Award #2

Recognition of Outstanding Student Experience (ROSE) in Semester 2, 2019 in MANU1420 Manufacturing Systems Modelling, RMIT University. This course achieved an outstanding overall Good Teaching Score of 91.67% and an Overall Satisfaction Index of 92.86% in Semester 2, 2019.

• Session's Best Paper Award

J. Ulmer, S. Braun, C. Y. Lai, C.-T. Cheng, and J. Wollert, "Generic Integration of VR and AR in Product Lifecycles Based on CAD Models," 23rd World Multiconference on Systemics, Cybernetics and Informatics (2019) - Session: Applications of Informatics and Cybernetics in Science and Engineering I, Orlando, Florida, USA 

• CyberC 2014 Keynote Excellence Award 

International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, (CyberC 2014), Shanghai, China 

• CyberC 2013 Program Chair Excellence Award 

International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, (CyberC 2013), Beijing, China

• CyberC 2012 Workshop Leadership Award 

International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, (CyberC 2012), Sanya, China

• Sir Edward Youde Memorial Fellowship 08/09 (for Postgraduate Research Students)

Sir Edward Youde Memorial Fund Council.

• Best Technical Content Award

Faculty of Engineering Postgraduate Research Seminar Day 2009, The Hong Kong Polytechnic University. 

• Best Paper Award

C.-T. Cheng, C.K. Tse, and F.C.M. Lau, “An Efficient Data Collecting Network Structure in Wireless Sensor Networks,” The Sixth International Conference on Communications, Circuits and Systems 2008, (ICCCAS 2008)

Certificates

• Red Flag Linux Certified Engineer (RCE License # 1158)

Red Flag Eduation Institute, 2003

• Deep Learning Specialization (License # SQ5NVMQ594WD)

Deeplearning.ai, Coursera, 2018

• • 1. Neural Networks and Deep Learning (License # 9WRZXSFNAQ57)

    2. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization (License # UMJVMW7X7NC5)

    3. Structuring Machine Learning Projects (License # YL6L8B7YYSUA)

    4. Convolutional Neural Networks (License # XECDXGKQFVHU)

    5. Sequence Models (License # TK3ZDW93GPVJ)