Haibing Lu

Haibing Lu is a Professor and Department Co-Chair of Information Systems & Analytics at Santa Clara University's Leavey School of Business. He holds a Ph.D. in Information Technology from Rutgers University (2011), and B.S./M.S. in Mathematics from Xi'an Jiaotong University (2002/2005). His research focuses on AI fairness, data privacy, cybersecurity, and big data analytics, addressing real-world challenges in healthcare, transportation, and cloud computing.

Education:

• Ph.D. in Information Technology, Rutgers University, 2011
• M.S. in Mathematics, Xi'an Jiaotong University, 2005
• B.S. in Mathematics, Xi'an Jiaotong University, 2002

Research interests include:

• AI governance and ethical frameworks
• Privacy-preserving technologies (e.g., differential privacy)
• Cybersecurity for IoT and smart grids
• Applications of machine learning in healthcare and transportation

His work has been featured in prestigious journals like IEEE Transactions on Dependable and Secure Computing, ACM Transactions on MIS, and M&SOM, alongside media outlets such as The New York Times and WIRED. Key publications include studies on AI fairness in LLMs, privacy in cloud computing, and secure authentication protocols.

Awards include:

• AACSB Innovations That Inspire Award (2021)
• M&SOM Best Paper Award
• Repeated SCU Leavey School Excellence Awards for Teaching/Research/Service

Grants and funding sources include NSF, IBM, PARC, and industry partnerships like AKTANA and Ultimate Software. He advises on interdisciplinary projects involving data science, cybersecurity, and sustainable energy systems.

Labs/Initiatives: Leads research in Information Systems & Analytics at SCU, with collaborations on metaverse-driven data management and AI governance frameworks.