جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Machine Learning
• Software Engineering
• +۴ مورد دیگر

XIE Xiaofei is an Assistant Professor of Computer Science at the School of Computing and Information Systems (SCIS), Singapore Management University (SMU). He holds the Lee Kong Chian Fellowship and has a PhD from Tianjin University (2018). Previously, he was a postdoctoral researcher at Nanyang Technological University (NTU, 2018–2021). His research focuses on program analysis, software testing, vulnerability detection, and AI system quality assurance. Key areas include adversarial attacks on deep learning systems, autonomous driving testing, and secure software development. He actively advises PhD students and collaborates on projects like the GameRTS framework for video game testing and BehAVExplor for autonomous systems. Education : PhD, Tianjin University, 2018 Postdoctoral Research, NTU Singapore, 2018–2021 Research Interests : Dr. Xie explores cutting-edge topics such as neural network testing , AI security , and large language model (LLM) reliability . He develops tools like DeepHunter for DNN fuzz testing and CAShift for cloud attack detection. His work bridges theory and practice, addressing real-world challenges in software safety and AI robustness. Recent Contributions : His publications span top venues (ICSE, ASE, CVPR) and include innovations like behavior diversity testing for autonomous vehicles and multi-target backdoor attacks on code models. He also leads initiatives to enhance federated learning security and LLM vulnerability detection. Awards & Recognition : ACM Tianjin Doctoral Dissertation Award (2019) ACM SIGSOFT Distinguished Paper Award (ISSTA 2022) Best Paper Award, APSEC 2020 3 rd place in AI Singapore’s Trusted Media Challenge (2022) Advising & Grants : He mentors seven PhD/MSc students and leads research teams funded by initiatives like SMU’s Lee Kong Chian Fellowship. His labs focus on autonomous systems testing and AI-driven security tools .

• Applied Mathematics
• Pure Mathematics
• Applied Computing
• +۱ مورد دیگر

Assoc Prof Kah Loon Ng is an Associate Professor in the Department of Mathematics at the National University of Singapore (NUS). His research interests span Applied Mathematics, Pure Mathematics, Applied Computing, and Theory of Computation. He is renowned for innovative teaching methods including story-telling approaches, mind maps, and differential learning strategies to engage students at all levels. His pedagogical innovations include screencast resources for tutorials and past exam questions, enhancing student accessibility to learning materials. In teaching, Prof Ng emphasizes fostering analytical skills, adaptability, and confidence in students. He employs interactive techniques like group discussions, conceptual teasers during lectures, and personalized attention to address varying student abilities. His approach integrates Information Technology strategically without over-reliance, ensuring dynamic classroom engagement. His teaching philosophy prioritizes creating a supportive environment where students can explore mathematics' practical applications across disciplines, challenging the misconception that mathematics is only for educators. Prof Ng’s research contributions include foundational work on graph orientation, firefighter problem generalizations, and disease modeling in dynamic networks. His publications reflect interdisciplinary applications, such as curriculum reform in data science education and advanced graph theory studies. His work bridges theoretical mathematics with real-world problem-solving, influencing both academic discourse and educational practices.

LEE Yi-Chiehمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Computer-Supported Cooperative Work (CSCW)
• Social Computing
• +۱۲ مورد دیگر

LEE Yi-Chieh is an Assistant Professor in the Department of Computer Science at NUS Computing, National University of Singapore. He holds a Ph.D. in Computer Science from the University of Illinois Urbana-Champaign (2021) and previously worked as a researcher at NTT, Japan. He leads the AI4SG (AI for Social Good) Lab, focusing on designing AI technologies to promote societal well-being. Ph.D., Computer Science, University of Illinois Urbana-Champaign, 2021 Researcher, NTT, Japan Assistant Professor, Department of Computer Science, NUS Computing His research lies at the intersection of human-computer interaction (HCI), computer-supported cooperative work (CSCW), and human-centered AI. He investigates how conversational agents can support mental health, reduce stigma, and encourage prosocial behaviors. His work emphasizes trust, ethics, and social impact in AI systems, particularly in healthcare and marginalized communities. He also explores multi-agent systems, AI literacy, and emotional reciprocity in human-AI relationships. The recent publications (2023–2025) reflect a strong trend toward AI for mental well-being, social influence in multi-agent environments, ethical challenges in AI companionship, and innovative applications of conversational agents in education, healthcare, and social services. The research combines qualitative and quantitative methods, often involving participatory design and cross-cultural studies. Notable scientific awards include: CSCW2022 Diversity & Inclusion Award Cornell-NUS Global Strategic Collaboration Award LEE Yi-Chieh is actively involved in advising and research grants through the AI4SG Lab. While specific students are not listed, his lab conducts impactful research in AI for social good, supported by institutional and international collaborations. He teaches courses such as CS3249 (User Interface Development) and CS5346 (Information Visualization), contributing to both undergraduate and graduate education. The AI4SG Lab is dedicated to creating socially responsible AI systems through interdisciplinary research, community engagement, and technology design that addresses real-world challenges in mental health, aging, inclusivity, and social justice.