16 December 2021 – NUS Computing Dean’s Chair Associate Professor Xiao Xiaokui has been selected as a Distinguished Member of the Association for Computing Machinery (ACM) for his outstanding scientific contributions to computing.
A/P Xiao is among some 63 Distinguished Members who were selected by their peers for their significant accomplishments and contributions to the field.
A/P Xiao’s research focuses on data management and algorithms for large data.
For data management in particular, A/P Xiao is interested in developing solutions for privacy-preserving data sharing and machine learning, i.e. ways to share useful information from data containing sensitive information (e.g. a machine learning model), without intruding on users’ privacy.
He has won numerous awards for his research on data privacy, including first place in the 2020 NIST Differential Privacy Temporal Map Challenge, and third place in the 2018 NIST Differential Privacy Synthetic Data Challenge. His paper on Differential Privacy via Wavelet Transforms was also featured in the IEEE Transactions on Knowledge and Data Engineering (TKDE) special issue on the Best Papers of IEEE International Conference on Data Engineering (ICDE) 2010.
His research on algorithms for large data involves developing solutions that can significantly reduce the computational cost of complex analytical tasks, while providing provably accurate results. For his work on algorithms, A/P Xiao won the Best Research Paper Award at the International Conference on Very Large Data Bases (VLDB) in 2021. In addition, his paper on Network Motif Discovery: A GPU Approach was also featured in the TKDE special issue on the Best Papers of ICDE 2015.
“I am truly honored to receive this recognition. I am immensely grateful for the support that I have received from my nominator, Prof Ooi Beng Chin, endorsers, collaborators, colleagues, and NUS Computing,” said A/P Xiao of his selection.
“NUS Computing provides tremendous research support, and a collegial and conducive environment that enable us to strive for the best,” he added.
