Jinhui Xu

Roles and Affiliations: Jinhui Xu is a Professor in the Department of Computer Science and Engineering at the University at Buffalo, State University of New York (SUNY Buffalo). He holds a PhD from the University of Notre Dame (2000) and has been a faculty member since joining in 2002. His work focuses on algorithms, computational geometry, machine learning, and differential privacy, with applications in medicine, biology, and networking.

• Education:
  • PhD in Computer Science and Engineering, University of Notre Dame, 2000
  • MS in Computer Science, University of Science and Technology of China
  • BS in Computer Science, University of Science and Technology of China

Research Interests: Dr. Xu's research spans algorithms, computational geometry, machine learning, and differential privacy. He has pioneered methods for high-dimensional geometric problems in machine learning and medical imaging. Recent projects include privacy-preserving learning algorithms, geometric optimization for biomedical data, and algorithms for chromosome organization analysis in cell nuclei.

Publications: His works emphasize geometric algorithms, privacy-aware machine learning, and interdisciplinary applications. Notable contributions include PTAS for geometric covering problems and efficient truth discovery algorithms.

• Awards:
  • NSF CAREER Award (2005)
  • UB Excellence in Graduate Mentoring Award (2021)
  • SUNY Chancellor's Award (2017)

Advising & Grants: Advised over 20 PhD students, many of whom have pursued academic and industry roles. His research has been funded by NSF, NIH, NYSTAR, IBM, and UB. Notable grants include projects on differential privacy in biomedical data and geometric techniques for cardiovascular interventions.

Labs & Teams: His research group focuses on interdisciplinary projects combining theory and applications. Key collaborations include work with medical imaging teams and biologists studying cell nucleus organization.