Researcher in Machine Learning Algorithms and Smart Cities.

Responsibilities include:

• Conduct research in spatiotemporal and resource-efficient machine learning
• Design and instruct three master courses (Advanced Seminar Machine Learning, Advanced Data Analytics and Deep Learning, and Decision Making under Uncertainty) and one bachelor course (Bachelor Seminar Machine Learning).

Lead the R&D in AI-driven Smart Mobility.

Responsibilities include:

• Led a team of 10 researchers (3 full-time, 5 interns, 1 project manager), conducted front-tier research in smart mobility and spatiotemporal analysis, and delivered 5+ pipelines of AI-driven products, including:

  • One machine learning-based traffic data infrastructure platform;
  • Traffic Signal Control Systems based on optimization-based and Reinforcement Learning: deployed in an actual city.
  • One causal inference-based Traffic congestion management and cause analysis: deployed in an actual city.
  • Developed our LLMs for traffic domain knowledge and traffic data analysis.

• Corresponding research work published in CIKM, KDD, AAAI, ICLR, AAMAS, TMM, and more, with topics including:

  • Self-supervised learning and contrastive learning.
  • Reinforcement Learning.
  • Resource-efficient domain adaptation, transfer learning, and meta-learning.

• Admin and Technical support for business needs: interviewed 100+ applicants, gave 5+ research seminars, and so on.

Research Scientist in serverless computing, machine learning system in AWS and KNIX MicroFunctions.

Responsibilities include:

• Research in serverless computing, machine learning system based on Amazon Web Service (AWS) and Bell Labs KNIX MicroFunctions.
• Conducted serverless machine learning inference (regression, nature language process, image recognition) based on ResNet, MXNET, Tensorflow in AWS and Microfuntions, performance analysis, component profiling and system optimization.

Research Collaboratoin in Big Data Driven Smart Transporation.

Responsibilities include:

• Research project collaboration and management with MTR and Computer Science & Engineering Dept, HKUST, developing an Intelligent Transport System (ITS) for smarter and individualized services based on data-driven methods.
• Delivered the solution for demand prediction, station clustering, passenger individual pattern mining.