Research Focus

• Develops algorithms for combinatorial optimisation problems with provable guarantees
• Investigates parameterised complexity and fixed-parameter tractability
• Studies approximation algorithms for NP-hard problems in graphs and networks

Research Interests

Education

• PhD in Computer Science and Engineering, University of Michigan, 2013
• MSc in Computer Science and Engineering University of Michigan, 2013
• BSc in Computer Science and Engineering, Shanghai Jiaotong University, 2008

Postdoctoral Experience

• Postdoctoral Fellow, Harvard University, 2014–2015
• Postdoctoral Researcher, Max Planck Institute for Informatics, 2014

Notable Awards

• 2017 Best paper award of SPAA’17.

Open to collaborations on algorithms, combinatorial optimisation, and parameterised complexity theory.

Research Focus

• Builds AI systems for video understanding, generation and multimodal reasoning
• Develops efficient deep learning architectures for large-scale visual recognition
• Investigates self-supervised and transfer learning for real-world AI applications

Research Interests

Education

• PhD in Computer Science, Nanyang Technological University, 2023
• BEng in Mechanical Engineering, Nanyang Technological University, 2015

Open to collaborations on video understanding, multimodal AI, and efficient deep learning architectures.

Research Focus

• Designs parallel and distributed computing systems for high-performance workloads
• Develops runtime systems and compilers optimised for modern hardware architectures
• Investigates scheduling and resource management for large-scale computing clusters

Research Interests

Education

• PhD in Computer Science, Nanyang Technological University, 2020
• MSc in Computer Engineering, Nanyang Technological University, 2014
• BSc in Computer Engineering, Nanyang Technological University, 2010

Open to collaborations on parallel computing, runtime systems, and high-performance computing for AI workloads.

Research Focus

• Develops sublinear and streaming algorithms for massive data processing
• Investigates property testing and randomised algorithms with theoretical guarantees
• Studies algorithmic foundations of machine learning and statistical inference

Research Interests

Education

• PhD in Computer Science, Massachusetts Institute of Technology (MIT), 2018
• MSc in Computer Science, Massachusetts Institute of Technology (MIT), 2015
• BSc in Electrical and Computer Engineering, National Technical University of Athens, 2011

Postdoctoral Experience

• Senior Research Fellow, National University of Singapore, 2021–2024
• Postdoctoral Researcher, University of Southern California, 2019–2021

Notable Awards

• 2019 Outstanding Paper Award: 33rd Annual Conference on Neural Information Processing Systems (NeurIPS).

Open to collaborations on sublinear algorithms, property testing, and the algorithmic foundations of machine learning.

Research Focus

• Builds secure systems that protect against real-world cybersecurity threats
• Investigates vulnerabilities in software, firmware and hardware security
• Develops digital forensics tools and techniques for cyber incident investigation

Research Interests

Education

• PhD in Computer Science and Engineering, Hong Kong University of Science and Technology, 2023
• BEng in Information Engineering Information Engineering, City University of Hong Kong, 2017

Postdoctoral Experience

• Postdoctoral Fellow, Carnegie Mellon University (CMU)

Notable Awards

• 2025 Temasek-Nanyang Assistant Professorship.
• 2024 Nanyang Assistant Professorship.
• 2024 SIGMOD Jim Gray Doctoral Dissertation Award Runner-up, ACM SIGMOD.
• 2024 Best PhD Dissertation Award 2023, CSE, HKUST
• 2023 ACM SIGMOD Research Highlight Award, ACM SIGMOD

Open to collaborations on systems security, digital forensics, and cybersecurity threat analysis.

Research Focus

• Develops data management systems with provenance tracking and explainability
• Investigates data integration, data quality and knowledge graph construction
• Builds scalable pipelines for managing heterogeneous and uncertain data

Research Interests

Education

• PhD in Computer Science, Humboldt-University Berlin, Germany, 2008
• Combined BSc and BEng in Information Technology, University of Cooperative Education, Stuttgart, Germany 2003

Postdoctoral Experience

• Professor, University of Tuebingen, Germany
• Assoc Prof, University Paris-Saclay and INRIA, France
• Postdoctoral Researcher, University of Tuebingen, Germany
• Postdoctoral Researcher, IBM Research – Almaden, CA, USA

Notable Awards

• 2021 IntCDC Best Publication Award
• 2020 Best Paper Award, ADBIS

Open to collaborations on data management, provenance, data integration, and knowledge graph construction.

Research Focus

• Investigates probabilistic inference and tractable computation in AI systems
• Develops knowledge compilation methods for scalable probabilistic reasoning
• Studies the theoretical foundations of probabilistic graphical models

Research Interests

Education

• PhD in Computer Science, KU Leuven, 2022
• MSc in Computer Science, National Taiwan University, 2017
• BEng in Mathematics and Computer Science, Imperial College London, 2015

Postdoctoral Experience

• Research Fellow, National University of Singapore

Open to collaborations on probabilistic inference, tractable reasoning, and knowledge compilation.

Research Focus

• Develops formally verified software and security protocols using proof assistants
• Investigates automated theorem proving and verified compilation
• Builds trustworthy systems with machine-checked correctness guarantees

Research Interests

Education

• PhD in Computer Science (Pure and Applied Logic), Carnegie Mellon University, 2022
• BA in Computer Science, University of Cambridge, 2015

Notable Awards

• 2024 NRF Fellowship.
• CAV’24 (distinguished paper award).

Open to collaborations on formal verification, proof assistants, and the development of trustworthy certified software.

Research Focus

• Designs scalable data management systems for AI and analytical workloads
• Investigates query optimisation and storage engines for large-scale databases
• Develops new data models and indexing techniques for emerging applications

Research Interests

Education

• PhD in Economics, London School of Economics, 2020
• MRes Economics, London School of Economics, 2015 MSc in Economics, London School of Economics, 2014
• BSc in Economics, London School of Economics, 2014

Postdoctoral Experience

• Visiting Scholar, Department of Economics, Chinese University of Hong Kong (CUHK)

Notable Awards

• 2024 Recipient, Digital Economy Open Research Pioneer Award.

Open to collaborations on scalable data management, query optimisation, and database systems for AI workloads.

Research Focus

• Investigates algorithmic mechanism design and computational economics
• Develops algorithms for fair division, auctions and resource allocation
• Studies game-theoretic foundations of multi-agent AI systems

Research Interests

Education

• PhD in Computer Science, Tsinghua University, 2012
• BSc in Computer Science, Tsinghua University, 2008,

Postdoctoral Experience

• Postdoctoral Researcher, Max Planck Institute for Informatics, 2014–2015
• Research Fellow, Nanyang Technological University, 2012–2014

Notable Awards

• 2025 Nanyang Education Award – School (SPMS).
• 2020 SPMS Young Researcher Award, NTU.
• 2012 Excellent PhD Dissertation Award, Tsinghua University.

Open to collaborations on algorithmic mechanism design, fair division, and computational economics.

Research Focus

• Develops intelligent visualisation systems for complex and high-dimensional data
• Investigates human-AI collaboration through interactive visual analytics
• Builds visual intelligence tools for FinTech, education and quantum computing

Research Interests

Education

• PhD in Computer Science, Hong Kong University of Science & Technology, 2018
• Master in Pattern Recognition and Intelligent System, Huazhong University of Science & Technology, 2014
• BSc in Automation, Harbin Institute of Technology, 2011

Postdoctoral Experience

• Postdoctoral Research Fellow, Hong Kong University of Science and Technology (HKUST)

Notable Awards

• 2025 VGTC Visualization Significant New Researcher Award.

Open to collaborations on visual analytics, human-AI interaction, and intelligent visualisation for complex datasets.

Research Focus

• Develops AI tools that make deep learning accessible to medical researchers
• Applies generative models and multimodal LLMs to accelerate drug discovery
• Investigates lipid nanoparticle design and AI-driven biomedical applications

Research Interests

Education

• PhD in Computer Science, Nanyang Technological University, 2021
• BEng in Bioengineering, Nanyang Technological University, 2013

Postdoctoral Experience

• Postdoctoral Fellow, MIT & Harvard Medical School, 2024

Notable Awards

• Outstanding paper award ICLR 2021.

Open to collaborations on AI for biomedical applications, drug discovery, and generative models for healthcare.