Dr. Christopher Chan
has a notable legacy of collaborative projects with distinguished institutions and corporations. His early endeavors include pivotal contributions to Data Warehousing for DB2 at IBM Markham Research Lab and Mobile Messaging solutions at Microsoft Lab, Seattle. Dr. Chan also pioneered advancements in real-time BASH debugging, acknowledged through a patent submission.
Branching out, he collaborated with the Government of Ontario and the Superior Court of Ontario to implement automated rule-based scheduling systems. His academic voyage prospered through roles as a Contract Lecturer in Data Science at Ryerson University and a Sessional Instructor for Computer Architecture at the University Ontario Institute of Technology.
Following post-doctoral engagements at National Taipei University of Technology and National Taiwan Ocean University, Dr. Chan transitioned to an Assistant Professor role at Chaoyang University of Technology, Taichung, Taiwan, within the Department of Information Management. Although no longer with Chaoyang University, he continues to foster academic growth as an Adjunct Professor at Toronto Metropolitan University.
Parallel to his academic endeavors, Dr. Chan has cultivated a professional path in algorithmic day trading, applying his extensive knowledge in mathematics and computational science to navigate financial markets proficiently.
On the academic service spectrum, Dr. Chan has been an invaluable technical committee member for the Conference on Internet of Things and Embedded Intelligence (CITEI 2020). He also serves as a reviewer for numerous reputable journals and conferences, including IAES International Journal of Robotics and Automation (IJRA), IEEE Access, IEEE Transactions on Engineering Management (TEM), and the esteemed IEEE Big Data Congress 2018, among others. His insights were spotlighted as a BDIA Invited Speaker during the Conference on Big Data and Information Analytics at the Fields Institute, University of Toronto.
Dr. Chan’s publishing journey is noted in Intelligent Networking and Collaborative Systems (INCoS), International Humanitarian Technology Conference (IHTC), and International Conference on Industrial Engineering and Applications (ICIEA), MATEC Web of Conferences in Hong Kong 2016, and the prestigious IEEE Big Data Congress 2018.
With a robust teaching proficiency, Dr. Chan excels in elucidating complex subjects including but not limited to Algorithms, Data Structures, Artificial Intelligence, and Machine Learning. His expertise extends to Robotics, Cryptography, Computer Architecture, and Data Science, with practical knowledge in tools like Hadoop, RStudio, and Hive.
Dr. Chan’s academic and professional journeys are well-documented and a testament to his multifaceted capabilities. For a more comprehensive insight into his professional trajectory, his Resume (CV) and Google Scholar Profile are available for review.
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