معرفی
Krish Muralidhar is the Baldwin Chair and Professor of Marketing & Supply Chain Management at the University of Oklahoma's Price College of Business. He holds a Ph.D. from Texas A&M University, an MBA from Sam Houston State University, and a B.Sc. from the University of Madras, India.
His research centers on data privacy, developing techniques for secure data analysis, sharing, and dissemination. Key areas include statistical disclosure limitation, differential privacy, database reconstruction risks, and perturbation methods. He patented the Data Shuffling technique for secure data release.
Recent publications (2022–2025) focus on census data privacy, reidentification vulnerabilities, and critiques of differential privacy in machine learning. Trends highlight rigorous evaluations of privacy risks in statistical databases and policy-relevant solutions.
Awards:
- Distinguished Doctoral Alumni Award (Texas A&M, 2006)
- Teaching Incentive Program Award (1994)
- Excellence in Research Award (1995)
- Best Inter-disciplinary Paper Award (2002)
- Best Paper Award (2005)
No advising, grant, lab, or team details were provided.
