Seminar • Data Systems • A Unified Approach for Fault-tolerant and Secure Management of Distributed Data
Please note: This seminar will be given online.
Sujaya Maiyya
Computer Science Department
University of California, Santa Barbara
Sujaya Maiyya
Computer Science Department
University of California, Santa Barbara
Jacopo Panerati, Postdoctoral Fellow
Institute for Aerospace Studies, University of Toronto
Mina Tahmasbi Arashloo, Presidential Postdoctoral Fellow
Computer Science Department, Cornell University
Fatema Tuz Zohora, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Ming Li
Stefanie Dukovac, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Ali Mashtizadeh
David Wajc, Motwani Postdoctoral Fellow in Theoretical Computer Science
Computer Science Department, Stanford University
Shalmali Joshi, Postdoctoral Fellow
Center for Research on Computation and Society, Harvard University
Machine Learning advances have revolutionized many domains such as machine translation, complex game playing, and scientific discovery. On the other hand, ML has only enjoyed modest successes in human-centered applications. To improve the utility, reliability, and robustness of Machine Learning (ML) models in human-centered domains, we need to address several foundational challenges.
Utsav Das, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Olga Vechtomova
Chang Ge, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Ihab Ilyas
Huaicheng Li, Postdoctoral Researcher
Parallel Data Lab, Carnegie Mellon University