ℂhristopher Chan has worked with IBM Markham Research Lab and Microsoft Lab in Seattle on Data Warehousing for DB2 and Mobile Messaging. He has submitted a patent on real-time BASH debugging. He has also worked with the Government of Ontario, Superior Court of Ontario for automated rule-based scheduling. He was a contract lecturer for data science at Ryerson University, and a sessional instructor for computer architecture at University Ontario Institute of Technology.
Currently based in Taichung, Taiwan, after post-doc positions at National Taipei University of Technology and National Taiwan Ocean University, he is now an Assistant Professor at Chaoyang University of Technology in the Department of Information Management.
For academic service, he is a technical committee member for Conference on Internet of Things and Embedded Intelligence (CITEI 2020), a reviewer for IAES International Journal of Robotics and Automation (IJRA), International Journal of Artificial Intelligence, Emerald Publishing Limited’s Journal of Knowledge Management, Elsevier’s Electronic Commerce Research and Applications, MDPI’s Mathematics Journal, Technology Advancements in Artificial Intelligence (ICTE 2020), Journal of Applied Sciences, MDPI’s Sustainability Open Access Journal, Elsevier’s Electronic Commerce Research and Applications (ECRA), IEEE Access, IEEE Transactions on Engineering Management (TEM), Springer’s Service Oriented Computing and Applications (SOCA), Information Systems Frontiers (ISFI), Elsevier’s Journal of Systems Architecture (JSA), Future Vision International Congress (ICFV), and the special Issue “Emerging Technologies and Strategies in Education in the Big Data Era” in Education Research International. He was a BDIA Invited Speaker at the Conference on Big Data and Information Analytics at the Fields Institute at University of Toronto. And he is a published author 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.
Algorithms, Data structures, Mathematical Logic, Coding Theory, Game Theory, Graph Theory, Number Theory, Artificial Intelligence, Automated Reasoning, Computer Vision, Machine Learning, Robotics, Networking, Computer Security, Cryptography, Computer Architecture, Operating Systems, Computer Graphics, Image Processing, Distributed Computing, Relational Databases, Structured Storage, Data Science (including Hadoop, RStudio, Hive, Pig, Hbase), Data Mining, Information Retrieval, Computational Science, Numerical Analysis, and Bioinformatics.