Yutian Tang

Dr. Yutian Tang serves as an Assistant Professor (UK Lecturer) and Principal Investigator at the School of Computing Science, University of Glasgow, where he supervises PhD students and leads research in AI-driven software engineering. His academic journey includes a PhD from The Hong Kong Polytechnic University's Department of Computing.

His research spans AI+SE integration, particularly focusing on Large Language Models for program analysis, software testing, and Android security. Key areas include:

• LLM-assisted vulnerability detection and repair
• Empirical studies of real-world software systems
• Privacy protection mechanisms
• Configuration compatibility in mobile applications
• Smart contract security optimization

His publication portfolio shows a clear trajectory toward AI-augmented software engineering, with recent work demonstrating how LLMs can enhance taint analysis, binary code similarity detection, and test generation. This evolution reflects the field's broader shift toward AI integration while maintaining rigorous empirical validation.

Award highlights include:

• Best Industry Paper Award at ISSRE'18
• Elevation to IEEE Senior Member (2024)
• Three Android OS defects confirmed by Google Security Team

As an active researcher and community contributor, Tang serves on 40+ program committees including PLDI, ICSE, and FSE. His work receives funding from National Natural Science Foundation of China, Shanghai Science Commission, OpenAI, and Google. Current projects focus on automated bug localization and LLM-based testing frameworks, with recent grants from OpenAI Cybersecurity and Google Cloud programs. He leads research groups investigating Android security and AI-assisted program analysis, collaborating with institutions like Lund University.