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AIFR Group

Welcome to AIFR Group

Artificial Intelligence for Fundamental Research (AIFR) Group is led by Prof. Daw-Wei Wang in National Tsing-Hua University (NTHU) to study and explore the application/theory of Artificial Intelligence in various fundamental research fields, including physics, astronomy, brain sciences, computer sciences, humanity and social sciences. In our point of view, AI is not only applied for research in these fields, but is also investigated and developed through the treasures of human knowledge. Therefore, interdisciplinary and intensive collaboration with researchers in differential fields is the most essential factor. We believe that our AI-based fundamental researches are exciting and practical to understand this interesting world, and may contribute to the knowledge of human society.

This this moment (2018-2020), our research topics (as shown in the right column of this webpage) includes (1) search for Young Stellar Objects in astronomy (in collaboration with Prof. Shi-Ping Lai in Institute of Astronomy, NTHU), (2) identification of the polarity of drosophila brain neurons (in collaboration with Prof. Chung-Chuan Lo in Institute of Systems Neurosciences, NTHU), prediction of Civil judgment (in collaboration with Prof. Yung-Hsien Lin in Institute of Law and Technology, NTHU), classification of topological and dynamical properties of strongly interacting systems (collaboration with Prof. Chung-Yu Mou in Physics Department, NTHU). We will also use the data and theory of these research to find some way to explore the Explainable AI (XAI) for the future. We welcome perspective students, postdocs, research assistants, data scientists or colleagues to join together. Please contact Prof. Wang for further discussion.

Introduction of Principle Investigator
Daw-Wei Wang

Prof. Daw-Wei Wang got his Ph.D in physics in University of Maryland (College Park), USA, in 2000. He is a condensed matter theorist mainly working on strongly correlated physics in the systems of ultracold atoms/molecules. He got several national research awards for his contribution in theoretical physics (see his school website below). After 2018, he decided to study Artificial Intelligence (or Machine Learning) and to use it to explore the interdisciplinary researches.

School Website:Englisg Version中文版





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