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Artificial intelligence (AI) has surpassed humans in numerous areas, from games like chess and Go to practical applications such as cancer detection. Its rapid development is transforming industries and daily life alike. Building on this, the program gives high school students the opportunity to explore AI and its real-world applications across diverse scenarios. Rather than delving deeply into intricate theories, students will grasp fundamental principles and gain hands-on experience.
The course takes a modern approach, highlighting emerging applications driven by recent breakthroughs in machine learning. By the end of the program, students will have a solid understanding of different AI modules and comprehend the “what, how, and why” of AI methods.
Throughout the week, participants will apply their learning to real-world tasks, including data analysis, image and video processing, and natural language processing, while working on coding exercises and mini projects.
Kaizhu Huang is currently Professor of ECE and Director of Digital Innovation Research Center at Duke Kunshan University. He is Adjunct Professor and PhD Advisor at Wuhan University. Prof. Huang has extensive working experiences in Hong Kong, Japan, and UK. He received IEEE ICDM 10 Years Highest Impact Paper Award in 2024, Asia Pacific Neural Network Society Young Researcher Award in 2011, and the top research award ‘President Award’ in Fujitsu Laboratories in 2007. Prof. Huang obtained his PhD degree from Chinese University of Hong Kong in 2004. He received best paper/book awards or nominations nine times in AI. His research interests include machine learning, computer vision, data mining and deep learning. So far, he has published 9 English books and over 260 international research papers including 130+ SCI-indexed international journals. He serves as Editor in Chief in Elsevier CSSI, and associated editors in 6 international journals. He was invited as keynote speaker in more than 40 international AI conferences or workshops.
Dongmian Zou is an Assistant Professor of Data Science in the Division of Natural and Applied Sciences, Duke Kunshan University. He is also affiliated with the Digital Innovation Research Center and the Zu Chongzhi Center. He received the B.S. degree in Mathematics (First Honour) from the Chinese University of Hong Kong in 2012 and the Ph.D. degree in Applied Mathematics and Scientific Computation from the University of Maryland, College Park in 2017. From 2017 to 2020, he served as a post-doctorate researcher at the Institute for Mathematics and its Applications, and the School of Mathematics at the University of Minnesota, Twin Cities. His research is in the intersection of applied harmonic analysis, machine learning and signal processing. His current interest includes geometric deep learning and anomaly detection, and applications in e.g., communication, diagnosis and medical imaging. He has published papers in top machine learning and interdisciplinary conferences such as ICLR, KDD and AISTATS, and journals such as Applied and Computational Harmonic Analysis and IEEE TIT, TNNLS, TCAD, etc. He is passionate about mentoring undergraduate research. Many students he mentored for research have been directly admitted to PhD programs (UC Berkeley, UIUC, UPenn, etc.) or admitted to top master’s programs (MIT, Harvard, Brown, etc.).
Email: DKU-GSI@dukekunshan.edu.cn
