معرفی
Dan Lin is a Professor of Computer Science at Vanderbilt University's School of Engineering, joining in Fall 2022. Previously, she held roles as the Robert H. Buescher Faculty Fellow and Associate Professor at the University of Missouri with joint appointments in Electrical Engineering and Computer Science and Management. She directed the Cybersecurity Lab and served as Associate Chair for Graduate Study. Her research focuses on data privacy in cloud computing, mobile applications, social media, and vehicular networks, with recent work on AI security and privacy preservation. She has received federal funding from NSF, NSA, and DOE, and serves on editorial boards and conference committees.
Education: B.S., Fudan University; Ph.D., National University of Singapore. Postdoctoral research at Purdue University under Elisa Bertino, with visiting scholar experience at Aalborg University.
Research interests include machine learning attacks defense, privacy in big data, location privacy, and secure VANETs. Notable contributions include frameworks for real-time privacy protection, AI-driven traffic scheduling, and defenses against malware. Awards include three ACM Best Paper Awards.
Grants and collaborations include projects on privacy-preserving data aggregation, secure IoT access control, and AI ethics. Active in policy development for privacy-preserving systems and cybersecurity standards.
