✨ Research Directions⌗

1. Customized Neural Network Design⌗

Research in this area centers on the design and development of customized neural network architectures tailored to a wide range of domain-specific applications. The focus is on building models that are not only accurate and robust but also lightweight, interpretable, and efficient—enabling practical deployment in real-world, resource-constrained environments.
Suitable roles: AI/ML Engineer, AI/ML Researcher

2. Explainable Artificial Intelligence (XAI)⌗

A major theme of our recent work involves the pursuit of explainable artificial intelligence (XAI), which aims to enhance the transparency of AI decision-making processes. By offering insights into why and how models make decisions, XAI facilitates the development of systems that are easier to adapt and optimize across different devices, scenarios, and data distributions, thereby improving both operational efficiency and generalization capabilities.
Suitable roles: AI Researcher, Data Scientist, Model Optimization Engineer

3. Databases and Data Mining⌗

This line of research focuses on the development of efficient algorithms and systems for managing and analyzing large-scale datasets. Key efforts include optimizing similarity search, query processing, and real-time data retrieval. In parallel, we leverage advanced data mining techniques to uncover meaningful patterns and actionable insights from complex, high-dimensional data.
Suitable roles: Algorithm Engineer, Data Scientist, Big Data Engineer

4. Software Systems Development⌗

We build robust software systems that integrate our models and algorithms to support practical applications across a variety of domains. These systems provide interactive tools and automated frameworks for monitoring, prediction, and decision support. Many are developed in collaboration with domain experts and industry partners—such as National Taiwan University Hospital and Vision Wide Tech—to ensure real-world relevance and validated impact.
Suitable roles: Software Engineer, System Integration Engineer, Full Stack Developer

🌐 Application Domains⌗

We apply our research across diverse domains, fostering interdisciplinary exploration:

  • Smart Manufacturing and IoT: Encompasses CNC machine data, production scheduling, and process optimization.
  • Spatio-temporal data: Focuses on modeling and analyzing dynamic patterns across space and time, including traffic flow, human mobility, public transportation, and environmental trends.
  • Medical data: Covers disease diagnosis modeling, clinical decision support, and related data analytics.
  • Other domains: Students are encouraged to propose their areas of interest, with full support provided by the advisor.