Our sampling-based race-detection research is featured in NUS Computing’s Spotting concurrency bugs in software with sampling.
Awarded funding through the National Research Foundation grant “Fuzz Testing”. Research support.
Awarded NUS Presidential Young Professorship research support for “Architecting the Foundations of an Efficient Dynamic Concurrency Bug Detector”. Research support.
Awarded an NUS start-up grant for “Tree Data Structures for Causal Orderings in Data Race Detection”. Research support.
Our work on tree clocks receives the ASPLOS 2022 Best Paper Award. NUS Computing covers the paper and its authors: Umang Mathur, Andreas Pavlogiannis, Hünkar Can Tunç, and Mahesh Viswanathan.
Awarded a Google South & Southeast Asia Research Award for “Blazing Fast Dynamic Data Race Detection”. Research support.