Hi, I'm Yanxia Qin

Lecturer at SUTD | Researcher | Explorer

About Me

I'm a passionate educator and researcher at the Singapore University of Technology and Design (SUTD), where I foster curiosity and innovation in technology education. My journey in academia has taken me from the Harbin Institute of Technology, where I earned my Ph.D., through roles at Donghua University and the National University of Singapore, before finding my position at SUTD.

I believe that curiosity is the driving force behind meaningful education and research. In my teaching and research, I encourage students to explore, question, and discover. This approach not only enhances learning but also leads to innovative solutions in technology and design.

My passion lies in bridging the gap between theoretical knowledge and practical application, particularly in Natural Language Processing and AI applications. I'm committed to nurturing the next generation of curious minds who will shape the future of technology.

Teaching

Experience in teaching undergraduate courses in Computer Science

AI & NLP

Experience in developing AI solutions and natural language processing models

Teaching

10.014 Computational Thinking for Design

An introductory programming course combining programming in architectural design and computing contexts. Students learn visual and Python programming along with computational geometry concepts, applying computational thinking to solve design and engineering problems.

10.020 Data-Driven World

A project-based course introducing data structures, algorithms, and machine learning. Students learn to analyze and design programs around data and algorithms, and how algorithms can learn from data to make smart predictions for AI and Data Science applications.

50.001 Information Systems & Programming

An introduction to object-oriented design and programming using Java. Covers OOP principles, design patterns, mobile system programming, and includes a project to build an Android app. Students learn to build flexible and maintainable software systems.

50.043 Database Systems

Covers fundamentals of traditional databases and core ideas of big data systems. Students work with SQLite, MongoDB, and Apache Spark, running both locally and on AWS. Includes database design, query optimization, and modern database technologies.

My Projects

SciAssist

SciAssist

An AI-powered tool that helps optimize scientific activities

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ACL-OCL

ACL-OCL

A scientific corpus built from the ACL Anthology

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Parenting

Parenting

An AI-aided improving parenting system

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Get In Touch

I'm always open to new opportunities and collaborations. Let's connect and create something amazing together!