Chengyu Zhang

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Lecturer (Assistant Professor)

Loughborough University
Country flagUnited Kingdom

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About

Chengyu Zhang is a Lecturer (Assistant Professor) at Loughborough University in the United Kingdom. His research focuses on software testing, particularly in the areas of spatial databases, static analyzers, and SMT (Satisfiability Modulo Theories) solvers. Recent articles authored by Dr. Zhang explore topics such as finding logic bugs and constructing automated oracles for testing purposes.

Recent Grants

Grant: Close

Practical techniques for reliable, robust and performant SMT solvers

Open Date: 2022-08-01

Close Date: 2023-08-01

Grant: Close

Fuzz Testing Technology for Static Analysis Tools Based on Automated Test Oracle Construction

Open Date: 2022-02-01

Close Date: 2023-02-01

Positions (1)

Publisher
source

Chengyu Zhang

University Name
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Loughborough University

Fully funded PhD opportunity at Loughborough University in Computer Science , focused on AI Safety and the detection/mitigation of security vulnerabilities in AI systems that use the Model Context Protocol (MCP) . The project is sponsored by Darktrace and includes a 25% stipend top-up above the standard rate. It is a UK/home students only studentship, and the university advertises it as a fully funded PhD with UK fees covered . Research themes include program analysis , formal verification , software testing , cybersecurity , and multi-agent systems . The project aims to identify potentially malicious MCP servers and develop defence mechanisms to protect AI agents from compromise. This is a strong fit for candidates interested in software engineering, programming languages, AI security, and trustworthy AI. Supervision is by Dr Chengyu Zhang (primary supervisor), with Dr Shaheen Fatima and Professor Georgina Cosma as secondary supervisors, all at Loughborough University. Entry requirements: a first-class undergraduate degree is required; if you also hold a master's degree, it must be at distinction . The advert highlights programming ability (e.g. Python, C/C++), and experience in machine learning, cybersecurity, or program analysis is an advantage. Strong analytical ability, communication skills, self-motivation, and independent research aptitude are expected. Deadline: 21 July 2026. Start date: October 2026. Apply online via the university page and contact the supervisor with your CV for pre-application details.

3 months ago

Articles (5)

Year:

2024

Year:

2024

Year:

2024

Year:

2021

Year:

2020

Collaborators (2)

Zhendong Su

Full Professor

ETH Zürich

SWITZERLAND
View details

Manuel Rigger

National University of Singapore (NUS)

SINGAPORE
View details
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