Lei Ma

Lei Ma is an Associate Professor in the Department of Computer Science at The University of Tokyo. His research interests include Intelligent Software Engineering, Machine Learning System Engineering, and Cyber-physical System. Ma's work focuses on advancing the development and application of AI technologies in various domains, including software engineering, cybersecurity, and robotics. His research has been published in top-tier conferences and journals, such as IEEE Transactions on Software Engineering, ACM CHI, and ICRA. He is also actively involved in mentoring prospective students and offering research opportunities for Ph.D., MSc., and postdoc candidates at The University of Tokyo and the University of Alberta.

Lei Ma is an Associate Professor at The University of Tokyo and the University of Alberta, specializing in Trustworthy AI, MLOps, SE4AI, AI Safety, and XAI. Their research focuses on enhancing the reliability, security, and interpretability of AI systems through rigorous testing, mutation analysis, and adversarial attack detection. Key contributions include frameworks for deep learning testing, such as DeepGauge and Deephunter, and methods for identifying AI-synthesized fake content like deepfakes and fake voices. Ma's work also explores the challenges in deep learning development and deployment across platforms, as well as the use of reinforcement learning for automated testing. Their research emphasizes practical solutions for ensuring the robustness and safety of AI systems in real-world applications.