Computer Vision Researcher | AI Engineer | Algorithmic Systems Expert

About Me

I am currently working as a computer vision researcher at Ascent Robotics, a Tokyo-based AI and robotics company developing intelligent systems for next-generation autonomous machines. My current work focuses on state-of-the-art vision models for real-world classification and recognition tasks — including high-precision pharmaceutical product identification using deep learning pipelines for medicine packaging and pill appearance classification. At Ascent, I contribute to scalable, production-grade computer vision systems that operate under real-world constraints of lighting, distortion, occlusion, and low resolution — challenges common in logistics, healthcare, and human-robot collaboration environments.

Previously, I served as an assistant professor of computer science at Chaoyang University of Technology (CYUT) in Taiwan, where I taught and conducted research in machine learning, robotics, computer vision, and software automation. My academic track includes two years of postdoctoral research — one year at National Taipei University of Technology and another at National Taiwan Ocean University, where I worked on visual SLAM, object recognition, and autonomous system integration.

I hold a PhD and M.Sc. in Computer Science from Toronto Metropolitan University, where I conducted research in HCI, robotics simulations, and applied AI. My career began as a DB2 SVT tester at IBM's Markham Research Lab, followed by a role as an automation engineer at the Government of Ontario’s Justice Technology Integration Office (JITO). Across these roles, I specialized in automating and validating large-scale systems for enterprise and public infrastructure.

I now reside in Japan, continuously advancing my expertise in deep learning, embedded vision systems, and real-time AI applications. My side projects include algorithmic trading systems and multilingual user interfaces, and I remain active in academic and professional communities.

Outside of work, I'm a Level 10 Google Maps Local Guide, contributing reviews, photos, and geolocation data to improve accessibility and information quality for users worldwide.

👉 [My Google Maps Profile]
(https://maps.app.goo.gl/MozXtGcCN1Q4c1Mf7?g_st=ac)

Fun Stuff 

Download the Auto Mouse and Keypress Tool

If you’re looking for a lightweight, automatic mouse mover and keypress simulator, this free tool is available as a JAR file. It requires Java but no other installation — just download and run it. The tool features adjustable delays and subtle randomness in both mouse movement and key presses to mimic human behavior and prevent detection by monitoring software.

👉 [Download the Auto Mouse and Keypress Tool (JAR file)](https://christopherchan.ca/MouseMoverGUI.jar)

How to Download and Run:
1. First, you need to have Java installed on your computer. If you don’t have Java, you can download it directly from Oracle:

👉 [Download Java (JRE) for Windows](https://download.oracle.com/java/24/latest/jdk-24_windows-x64_bin.msi), or the suitable JRE for your operating system.

2. Open the downloaded file and follow the installation instructions.

3. Once Java is installed, just double-click the .jar file to start using the tool.

New Feature: - The latest version now allows you to set delays in milliseconds for more precise control.

Demo: You can also watch the demo video to see how it works. The tool is lightweight, easy to use, and designed to run quietly in the background without affecting your computer’s performance.

This tool is completely free to use — no ads, no installation other than Java, just download and go!