Hi I'm Celene!

A warm welcome to my personal website!

As an enthusiast in innovative technologies and machine learning, I am thrilled to share my journey with you. On this website, you'll uncover my passion for machine learning, computer vision, along with a glimpse into my personal hobbies.


What Others Say About Me

"Celene is very detail oriented and resourceful, allowing her to resolve many challenges she faced independently. She performed an incredible job for this work term and exceeded all expectations. Her research project has built a solid foundation for future development. She often showed initiative and interest in her job to allow her to gain more knowledge and experience. Celene, once you have graduated, feel free to contact us if you wish to return, we would be happy to have you join the team!"

Bryan, L. Senior Computer Vision Engineer


"It is such a pleasure to have Celene Chen as our engineering Co-Op student! She fully demonstrates her strong background knowledge and learning abilities to everyone in the department, which is very impressive. Her excellent work on the automation of our current program greatly helped to improve the efficiency and quality. I would highly recommend her to any future academic and professional opportunities."

Samson, S. EAM Manager

"Celene shows an ability to learn and fit in the new working environment rapidly. She exceeds the production expectations and continues to collaborate with other team members, which helped the whole team to keep achieving schedule and budget goals. Her creativities and enthusiasms in programming contribute to finish projects in a timely manner. The knowledge she gained for the department and software applications is a great asset to the company."

Ray, C. Reliability Engineer

Experiences and Involvements

Evertz Microsystems


Part of the R&D video compression team, where I helped to design software for cutting-edge broadcast device used by NBA and Super Bowl!

demo of evertz website

Taymer International


Traditional machine vision relies on predefined rules and algorithms to analyze images. A researcher on edge device.

demo of Taymer website

WATonomous


Developed algorithms to tackle the SAE Autodrive competition challenge for the university’s self-driving vehicle, working towards level 4 autonomy

demo of evertz website

Side Projects

NVIDIA Jetson Nano, Arducam Stereo Camera, Computer Vision


Supervised by Professor Elizabeth Weckman with the University of Waterloo Fire Research Group to develop community-based risk assessment methods and flashover predictions.

demo of IGNIS

IR, IMU, TFmini LiDAR and encoders


Help save wildfires

demo of Search and Rescue

Flask, AWS EC2,lambda, HTML5, CSS, Javascript, MySQL, Python


demo of travel website


Classification of Handwritten Musical Notation

demo of omr

LegoNXT, C++, colour sensors, optical encoder


Turn colours to tunes

demo of iScore

Hall Effect Sensors, IR sensor, Servo Motor


demo of line following