Tsz Nam Chan (Edison) is currently a research assistant professor in the database group of the Hong Kong Baptist University (HKBU). He is a data engineering researcher (for handling the efficiency issues in big data settings). He published several research papers in prestigious conferences and journals (CCF: A, top ranking in Google scholar and Microsoft) in both data engineering and data mining areas, including SIGMOD, VLDB, ICDE, and TKDE. Prior to joining the HKBU, he worked as the postdoctoral researcher (with Prof. Reynold Cheng) in The University of Hong Kong (HKU) from Sep 2018 to Aug 2020. He received the PhD degree in computing and the BEng degree in electronic and information engineering from The Hong Kong Polytechnic University in 2019 and 2014, respectively. His PhD supervisor is Dr. Man Lung Yiu (Ken). He is an IEEE member and an ACM member.

• Algorithm and software development for statistical models (with non-trivial accuracy and time complexity guarantees)
• Spatial and temporal data analysis/management (develop efficient algorithms for GIS)
• Kernel methods, similarity measures, similarity search, and pattern matching