Janet Huang is Assistant Professor, Future Everyday group, Industrial Design, TU/e. Her research focused on designing intelligent systems that support people to accomplish creative tasks.

Her research vision is to explore human-AI co-learning for facilitating new ways of creativity and productivity. More specifically, She strive to design and develop novel toolkits that empower designers to become proficient with AI as design materials. These toolkits enable designers to harness the power of data, computation, and AI techniques to tackle diverse and intricate problems across various contexts.

I am researching and designing new ways of collaborating with AI, empowering people to harness the power of data, computation, AI and creativity to address intricate problems across various contexts. 

Janet Huang got her MSc (2008) and PhD (2018) in Computer Science at National Taiwan University. Her PhD research "Designing for Complex Creative Task Solving" won Ph.D. Thesis Honorable Mention Award at the 2018 International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2018).

During July-Oct, 2018, she worked as a Research Scientist at the KIXLab, KAIST, exploring how to combining reflection and practice to enhance video learning for creative tasks. Later, she was awarded 2-year scholarship from the Ministry of Science and Technology (MOST) in Taiwan and this award enabled her as a PostDoc researcher to independently focus on my research topic on human-AI co-learning for creative tasks from December 2020.

In 2020 September, she became an assistant professor and continue to develop their research agenda on human-AI co-learning, from data-sensemaking to decision-making support, in various application domains.