The College of Computing and Data Science (CCDS) at NTU Singapore brings together a diverse community of faculty whose work spans computing, data science, and artificial intelligence. Together, they shape how computing is understood, taught, and applied – advancing both research and education in an AI-shaped world.

From the Dean

At CCDS, our faculty shape how computing is understood, taught, and applied in an AI-shaped world. We seek individuals with strong disciplinary foundations who are able to think across systems, domains, and real-world contexts.

As artificial intelligence becomes embedded in how work is done, the role of computing education must evolve. Our faculty play a central role in this – advancing research while guiding how students learn to reason, build, and make sound judgements, both with and without AI.

This page reflects the growing community of scholars contributing to that mission.

Prof Luke Ong, Dean CCDS

Prof Luke Ong

Dean, CCDS

Recent Appointments

CCDS continues to grow its faculty with new appointments and named professorships that strengthen the College's research capabilities and academic leadership. These reflect our ongoing commitment to depth, rigour, and real-world impact.

Cheng Yu

Cheng Yu

Artificial Intelligence

Artificial Intelligence Nanyang Associate Professor
Research focus
  • Efficient and sparse architectures – model compression techniques that shrink large models without sacrificing performance, key to scaling generative AI systems
  • Multimodal learning – models that reason jointly across text, image, and video, reflected in delivered systems like Hailuo Video and Skyreels
  • Large language model productization – led teams at Microsoft Research Redmond that turned core research into shipped products powering Copilot, DALL-E 2, ChatGPT, and GPT-4
Research interests
Large Language Models Efficient/Sparse Architectures Multimodal Learning
Education
  • PhD (Northwestern University, 2016, Computer Science and Engineering)
  • BSc (Tsinghua University, 2006, Bachelor in Automation)
Notable awards
  • IEEE 2024 SPS Young Author Best Paper Award
  • Outstanding Paper Award in NeurIPS 2023
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Li Penghui
Li Penghui
Computing
Security, Cryptography & Digital Trust Assistant Professor
Research Focus
  • Vulnerability discovery – static and dynamic analysis techniques uncovering critical vulnerabilities in web/cloud applications, OS kernels, device drivers, and distributed systems
  • Automated vulnerability detection – combining symbolic program analysis with neural reasoning for patch/regression analysis and root-cause diagnosis
  • Securing AI systems – unsafe ML model deserialization and the attack surface opened by AI coding tools and LLM agents
Research Interests
Software and system security Program analysis, fuzzing, and vulnerability discovery Web, cloud, and OS kernel security Security of AI systems, LLM agents, and AI-assisted development AI for security: neural and symbolic reasoning for vulnerability detection
Education
  • PhD – Chinese University of Hong Kong, 2023, Computer Science and Engineering
  • BSc – University of Chinese Academy of Sciences, China, 2019, Computer Science and Technology
Postdoctoral Experience
  • Post-doctoral Fellowship – Columbia University, USA, with Prof. Junfeng Yang, 2026
Notable Awards
  • ACM CCS Distinguished Artifact Award, 2025
  • ACM CCS Distinguished Paper Award, 2024
Keen to connect with CCDS colleagues in program analysis, formal methods, systems, software engineering, and machine learning — exploring how these methods strengthen security analysis, and how security thinking can make AI systems and AI-generated code more trustworthy. Drop me an email or stop by my office!
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Jordan Boyd-Graber
Jordan Boyd-Graber
Artificial Intelligence
Artificial Intelligence Professor
Research Focus
  • Human-AI collaborative NLP – building systems that help people explore documents, annotate data, and complete real tasks better, not just optimise benchmark scores
  • LLM evaluation & adversarial testing – detecting flawed leaderboard questions, human-in-the-loop adversarial datasets, and evaluation methods reflecting real user needs
  • Multimodal & multilingual applications – question answering, education, and AI-assisted decision making across languages and modalities
Research Interests
Probabilistic models of language LLM evaluation guided by psychometrics Agent negotiation and deception Human-in-the-loop adversarial examples Latent variable models of topics, ideal points, item response
Education
  • PhD – Princeton University, 2009, Computer Science, with David Blei
  • BSc – Caltech, 2004, History and Computer Science
Postdoctoral Experience
  • Postdoc – University of Maryland, with Philip Resnik
Notable Awards
  • Karen Spärk Jones Award, 2015
  • Outstanding Paper Award, NAACL, 2025
  • Best Theme Paper Award, EMNLP, 2023
  • Best Paper Award, NAACL, 2016
  • Best Demonstration Award, NeurIPS, 2015
  • Best Paper Award, CoNLL, 2015
  • US NSF CAREER Award, 2017
Keen to work on NLP for rarer languages and human-computer collaboration in legal or scientific domains, plus multimodal settings such as image generation and audio QA. Still drawn to interpretable Bayesian models like item response theory and topic models, especially where they can draw on modern world knowledge or improve human-AI coordination.
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Faculty Positions

CCDS is committed to building a strong and forward-looking faculty community. We seek individuals who combine deep disciplinary expertise with the ability to engage across domains and contribute to both research and education.

Opportunities are available across a range of academic tracks, including tenure-track, teaching-focused, and research positions.

Meet Our Faculty

Discover the full breadth of faculty across the College of Computing and Data Science, including their research interests and areas of expertise.

Cross Appointments, Adjunct & Visiting Faculty, Emeritus Professorship

In addition to its core faculty, CCDS works closely with cross-appointed faculty, adjunct and visiting academics, and emeritus professors who contribute to the College's teaching, research, and broader academic community.