PeopleofSuperintelligence

Researcher

Kian Hsiang Low

Also known as Low Kian Hsiang, Bryan Kian Hsiang Low, Bryan Low

Kian Hsiang Low is a computer scientist whose AI research spans machine learning, robot planning and multi-agent systems. He earned computer science degrees at NUS in 2001 and 2002, then completed a PhD in electrical and computer engineering at Carnegie Mellon in 2009. His research includes cooperative maps for robot motion, information-theoretic path planning and fairness-aware Bayesian optimization. He coauthored Waterfall, a text watermarking framework for LLM data provenance, and shared the 2024 ICML Workshop on AI for Science Best Paper Award. As of October 2026, he is an Associate Professor at NUS, Director of AI Research at AI Singapore and Deputy Director of the NUS AI Institute.

Badges

Timeline

  1. 2001–2002

    Computer science degrees

    He earns a B.Sc. (Hons.) in computer science from NUS in 2001 and an M.Sc. in computer science from NUS in 2002.

  2. 2005

    Cooperative maps for robots

    In 2005, he coauthors an ensemble of cooperative extended Kohonen maps with Wee Kheng Leow and Marcelo H. Ang Jr. for complex robot motion tasks.

  3. 2009–2013

    Planning mobile robot sensing

    He completes a PhD in electrical and computer engineering at Carnegie Mellon in 2009. With John M. Dolan and Pradeep Khosla, he presents an information-theoretic method for adaptive path planning in mobile robotic environmental sensing at ICAPS in 2009. An extended version appears on arXiv in 2013 and makes planning complexity independent of map resolution and less sensitive to robot-team size.

  4. 2016–2018

    A World Economic Forum fellowship

    From 2016 to 2018, he serves as a Fellow of the World Economic Forum’s Council on the Future of Artificial Intelligence and Robotics.

  5. 2021

    Fair collaborative optimization

    In 2021, he coauthors a collaborative Bayesian optimization method with a regret measure that balances fairness and efficiency. He also coauthors trusted-maximizers entropy search, which measures a query’s information gain over a finite set of trusted maximizers.

  6. 2024

    An AI for Science award

    In 2024, he shares the Best Paper Award at the ICML Workshop on AI for Science with NUS colleagues.

  7. November 2024–March 2025

    Waterfall for text provenance

    In November 2024, he coauthors Waterfall, a training-free framework for robust text watermarking and LLM data provenance. In March 2025, he leads NUS Computing’s GLOW.AI lab, whose researchers develop data-centric watermarks to protect text sources through LLM paraphrasing.

  8. As of October 2026

    AI lab leadership

    As of October 2026, he is an Associate Professor of Computer Science at NUS, Director of AI Research at AI Singapore and Deputy Director of NUS AI Institute.

Career

  1. NowNational University of SingaporeLead
  2. NowAI SingaporeDirector of AI Research

Education

  1. 2009Carnegie Mellon UniversityPhD
  2. 2002National University of SingaporeM.Sc.
  3. 2001National University of SingaporeB.Sc.

From the biography.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Kian Hsiang Low. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. People shaping AI work at a median of 3 organizations over a career: 3 for university starters and institute and lab starters, versus 2 for company startersIncludes National University of Singapore. Across 6,853 people shaping AI with a dated work role, we estimate a median of 3 parent organizations over a career (mean 3.6), comparing role groups, starting sectors and starting decades from the 1950s to 2020–2026.
  3. The United States employs an estimated 48% of people shaping AIIncludes National University of Singapore. We estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes National University of Singapore. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Kian Hsiang Low yet. Send us a free-licensed photo.

  1. LOW Kian Hsiang - NUS Computing comp.nus.edu.sg. Checked 21 October 2026.
  2. [1305.6129] Information-Theoretic Approach to Efficient Adaptive Path Planning for Mobile Robotic Environmental Sensing arxiv.org. Checked 21 October 2026.
  3. Collaborative Bayesian Optimization with Fair Regret proceedings.mlr.press. Checked 21 October 2026.
  4. Trusted-maximizers entropy search for efficient Bayesian optimization proceedings.mlr.press. Checked 21 October 2026.
  5. PhD Students and Faculty win Best Paper Award at 2024 ICML Workshop on AI for Science comp.nus.edu.sg. Checked 21 October 2026.
  6. Waterfall: Scalable Framework for Robust Text Watermarking and Provenance for LLMs aclanthology.org. Checked 21 October 2026.
  7. Waterfall: A New Watermarking Method to Protect Copyright in the World of LLMs comp.nus.edu.sg. Checked 21 October 2026.