Summary
Fan Min is a professor of computer science at Southwest Petroleum University with over two decades of academic experience and eight years in senior roles focused on cost-sensitive learning, rough sets, and granular computing. He earned his Ph.D. from the University of Electronic Science and Technology and has held associate professorships there and at Minnan Normal University, plus a visiting scholar stint at the University of Vermont. His research blends theoretical foundations with practical methods for handling imbalanced and granular data, making him a go-to scholar for cost-aware learning approaches. Based in Chengdu, he combines deep mathematical training (a bachelor’s in mathematics) with long-term commitments to teaching and research leadership. An active academic with a consistent presence at SWPU, he is known for translating rough-set theory into applied tools for real-world, uncertain data problems.
8 years of coding experience
11 years of employment as a software developer
Ph.D., Computer Science, Ph.D., Computer Science at University of Electronic Science and Technology
Bachelor, Mathematics, Bachelor, Mathematics at Chongqing Normal University