Name : Zengchang Qin

Speciality : Machine Learning, Multimedia Retrieval, Collective Intelligence, Uncertainty Modeling for Data

Email : zengchang.qin@gmail.com

Affilation : Professor of Artificial Intelligence at Beihang University, where he directs the Intelligent Computing and Machine Learning Lab, China.

Zengchang Qin is a professor of Artificial Intelligence at Beihang University, where he directs the Intelligent Computing and Machine Learning Lab. With a career spanning academia and industry, his research focuses on artificial intelligence, machine learning, data mining, and uncertainty modeling, contributing to the theoretical foundations and practical applications of these fields.

Dr Qin obtained his Master degree in Machine Learning and Data Mining in 2002 and PhD degree in Artificial Intelligence in 2005. Both degrees were from the University of Bristol, UK. He did his postdoc in University of California Berkeley with the father of fuzzy logic – Prof Lotfi Zadeh from 2006 to 2008. He also worked as visiting scholar in the Department of Statistics in the University of Oxford in 2008 and Robotics Institute in Carnegie Mellon University in 2010. He published two books and over 130 papers in machine learning, multimedia retrieval, medical imaging, collective intelligence and natural language processing. The overall citation, according to Google Scholar, is over 4500 by 2025. He also served as the Chief Scientist and Director of AI Institute of Keep from 2018 to 2019, the Chief Scientist and Partner of Codemao Inc. since 2019. His interdisciplinary expertise bridges computer science, economics, and finance, reflecting a unique ability to integrate complex mathematical concepts with real-world problem-solving.