I am currently an associate professor and Canada CIFAR AI Chair at the University of Alberta, leading Momentum Lab (website to be launched),
and holds a shared appointment as an associate professor with Kyushu University, Japan.
I am also honored to be selected as a Fellow and affiliated with Alberta Machine Intelligent Institute (Amii).
My current research mainly focuses on the interdisciplinary research fields of Software Engineering and Artificial Intelligence, and especially on proposing quality assurance and engineering support for building trustworthy AI systems.
I received a B.E. degree from Department of Computer Science and Engineering of Shanghai Jiaotong Unviersity in 2009, M.E. and Ph.D degrees from The University of Tokyo in 2011 and 2014, respectively. During my Ph.D. program, I studied for half a year in the Mathematics and Computer Science department of Technische Universität München(TUM). After receiving the Ph.D., I worked as a Research Fellow in the joint projects by Chiba University, The University of Tokyo, Advanced Industrial Science and Technology (AIST/ITRI) and National Institute of Informatics, and later joined in Harbin Institute of Technology as an Associate Professor in 2016, during which in 2018 I got the chance to visit NTU Singapore. In 2019, I joined Kyushu University as an Assistant Professor and later got promoted as a Tenured Associate Professor in 2020. From 2021, I joined University of Alberta as an Associate Professor, and was selected to receive the honorship of Canada CIFAR AI Chair and Amii Fellow under the Pan-Canadian AI Strategy.
I love theories, but I like even more to transfer theories into practice!
I have several research interests and working directions. My current major research interest mainly focuses on providing general purpose quality assurance solutions and engineering support for intelligent software systems. I believe the trustworthy intelligent software system would be the key driving force for technology innovation of the future. It does not solely rely on the foundational research from the AI community, but also requires the contribution from the many communities such as software engineering, control, etc., upbringing a new interdisciplinary emerging field Machine Learning System Engineering, an extremely exciting and demanding area of the near future! We have conducted consecutive works along the general-purpose quality assurance research for intelligent software systems (e.g., testing, analysis, verification, interpretation, attacks, defenses), to bridge vast demands from industry. Exciting research results would be continuously updated!
In the past, my research interest mainly lies around software engineering and programming language, in particular automated software testing, verification, analysis, evolution, mining, etc. I also worked on green computation and optimization solutions for cloud and big data centers. In addition, I am also interested in genomic data analsyis to uncover life mysteries and to search for health solutions through trustworthy AI solutions.