Dr. Lu joined the Department of Operations Management and Information Systems in the Leavey School of Business at Santa Clara University in Fall 2011. He currently teaches undergraduate courses in the OMIS program and graduate courses in the MSIS program. He is a frequent recipient of the school’s Extraordinary Research Award and Extraordinary Teaching Award.
Dr. Lu’s research is at the confluence of privacy, security, data mining, and optimization. He is particularly interested in developing effective and efficient data analysis techniques to resolve privacy issues in data-oriented applications, such as statistical database and role-based access control for large-scale authorization. He also has broad interests in applied cryptography and fundamental methods of data mining, such as secure multi-party computation, revocable fine-grained encryption, overlapping clustering, and pattern discovery from high-dimensional binary datasets. He has published in refereed journals and conference proceedings, such as IEEE Transaction on Dependable and Security Computing (TDSC), INFORMS Journal on Computing (JOC), Journal of Computer Security (JCS), IEEE Symposium on Security and Privacy (S&P), ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), SIAM International Conference on Data Mining (SDM), and IEEE International Conference on Data Mining (ICDM).
Dr. Haibing Lu received his Ph.D. in 2011 from Rutgers University, where he was a teaching assistant as he completed his doctoral studies. He earned his B.S. and M.S. degrees both in mathematics from Xi’an Jiaotong University, China, in 1998 and 2002 respectively.