My research centres around the making of data-intensive systems that are fast, cost-effective and energy-efficient, in the context of persistent memory, massively parallel processors and next-generation networks and storage devices.
I often step into related areas such as parallel programming and operating systems while solving problems in database systems.
I also have interests in embedded and mobile systems.
I am associated with the
Systems Group and Data Science Research Group at SFU.
If you would like to schedule a meeting with me, please check my calendar.
Oct 22, 2021: New paper about performance/cost of persistent memory and next-generation SSDs will appear in CIDR 2022 - led by Kaisong Huang + great collaboration with Dong Xie.
Oct 15, 2021: Our recent work on bringing learned indexes to persistent memory will appear in VLDB 2022 - led by Baotong Lu + great collaboration with Umar Farooq Minhas, Jialin Ding and Eric Lo.
Jun 28, 2021: Honoured to be recognized as a SIGMOD 2021 Distinguished PC Member.
May 3, 2021: A short version of our Dash paper that summarizes the key design principles of persistent hash tables is now available in SIGMOD Record 50(1) here, with a
technical perspective by Prof. Ken Ross.
Apr 23, 2021: VLDB 2023 will come to Vancouver! I will serve as the local arrangements chair.