Tegawendé’s research lies at the forefront of software engineering and cybersecurity, where he develops innovative methods and techniques to enhance software reliability and security, particularly in program analysis, code review, and code generation. He has developed a strong expertise in automatic program repair, helping practitioners mitigate the impact of software bugs and vulnerabilities while also improving user experience.
He has co-authored over 100 articles published in highly esteemed academic venues (Google Scholar H-index: 54) and has presented his work at the headquarters of leading software industry giants, including Google, Huawei, and Facebook.
He serves as an Associate Editor for the Empirical Software Engineering journal, is a member of the Steering Committee of the IEEE/ACM International Conference on Software Engineering, and has contributed to programme committees of all premier conferences in his fields, such as ICSE, ASE, ESEC/FSE, and ISSTA.
His research, which applies Artificial Intelligence to software engineering, has been featured in top AI venues, including AAAI, ACL, and EMNLP etc.