Name:Yutian Tang

Bio:

Dr. Yutian Tang is an Assistant Professor at the School of Computing Science, University of Glasgow, United Kingdom (PI, Ph.D. Supervisor). His research interests include AI+SE (Large-language Model+SE), LLM, green and sustainable AI, program analysis, empirical software engineering, privacy protection, software testing. He is a senior member of IEEE, a member of ACM, CCF, European Alliance for Innovation (EAI), and EuroSys. He is also a member of EPSRC Peer Review College, a technical committee member of the IEEE Technical Committee on Software Engineering. He is also affiliated with Trustworthy Digital Identity Interest Group and Interpretation, Verification and Modelling Interest Group, The Alan Turing Institute. He also contributes to the IEEE Standards Association P1633 Working Group (IEEE Recommended Practice on Software Reliability).

Yutian has published 50+ top-tier papers at premier software engineering venues such as ICSE, ESEC/FSE, OOPSLA, CCS, TheWebConf (WWW), ASE, ISSTA, SANER, ISSRE, ICPC conferences, and IEEE Transactions on Software Engineering (TSE), ACM Transactions on Software Engineering and Methodology (TOSEM), IEEE Transactions on Reliability (TReli), JSS, IST journals. His works received the Best Industry Paper Award at ISSRE’18, and ACM SIGSOFT Distinguished Paper Award at ICSE’26. Three works reported defects in the Android OS, which are confirmed by the Google Security Team. He serves as an Editorial Board Member for the Frontiers in Computer Science journal and Scientific Programming. He also serves as the PC member of over 20 international conferences such as PLDI, ICSE, ESEC/FSE, ASE, TheWebConf, ICPC, SANER, CAiSE, EASE, SEKE, MSR, APSEC, MobileSoft, VaMoS, with 40+ total instances of services. His research is partially supported by National Natural Science of China (NSFC), Science and Technology Commission of Shanghai Municipality, OpenAI, Google.

Country:United Kingdom

Affiliation:University of Glasgow, United Kingdom

Research interests:LLM, Large Language Model, program analysis, empirical software engineering, privacy protection, software testing.