TDAI Speaker Series Spring 2021: Zhiqiang Lin and Raef Bassily

The TDAI Speaker Series features a diverse range of talks and seminars with TDAI innovators and leading data experts from around the globe. Join us each month for robust discussions around issues in data analytics – from ethical data use to racial bias to environmental governance.

Zhiqiang Lin, TDAI core faculty and associate professor of computer science and engineering in the College of Engineering, primarily researches systems and software security, with an emphasis on developing program analysis techniques and applying them to secure both application programs including mobile apps and the underlying system software such as Operating Systems and hypervisors. He is a recipient of the NSF CAREER Award and the AFOSR Young Investigator Award.

Raef Bassily is a TDAI core faculty and an assistant professor of computer science and engineering in the College of Engineering. Bassily’s research focuses on tackling current challenges in data analysis and machine learning especially those with direct impact on society such as privacy and security. Most of his recent research efforts have been devoted to developing practical algorithms with rigorous guarantees for privacy-preserving data analysis. The goal of this area of research is to enable conducting highly accurate analyses over private, personal data while providing rigorous guarantees of privacy for individuals whose data are collected; that is, to achieve the seemingly paradoxical goal of learning from private data without learning private data. Bassily’s research also addresses fundamental questions concerning the tension/harmony between machine learning and privacy, and the limits of learning with formal privacy guarantees.

Learn more and register.