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Anwar Hithnawi is an Assistant Professor in the Department of Computer Science at the University of Toronto, where he leads the Preserving Systems Lab. His research focuses on secure and scalable analytics of personal data, exploring challenges in modern cryptographic techniques and their applications in collaborative learning systems. He is known for his innovative work on Fully Homomorphic Encryption, which allows computations on encrypted data without revealing the underlying information. Hithnawi has contributed to the academic community through various invited talks and presentations at prestigious institutions, discussing topics such as secure data processing and decentralized authorization mechanisms. His expertise lies at the intersection of security, privacy, and machine learning, driving advancements in how data can be used in a secure manner. In addition to his teaching and research, he is actively involved in the academic service, participating in program committees for leading conferences in the field, including IEEE S&P and USENIX Security. Hithnawi is a recognized scholar, having received multiple awards including the Google Research Scholar and the Intel's Outstanding Researcher Awards.
University of Toronto • Toronto, ON, Canada
Teaching and conducting research in computer science, specifically in the areas of security and cryptography.
Department of Sociology