Claude Gravel
Assistant Professor Faculty of Science Department of Computer Science Toronto, Ontario gravel@torontomu.ca
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Bio/Research
Professor Claude Gavel's research topics cover various disciplines, generally relating to probability and linear algebra (over finite fields) with applications to cryptography, communication protocol and security. He plans to contribute to the algorithmic and probabilistic sides of the research d...
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Bio/Research
Professor Claude Gavel's research topics cover various disciplines, generally relating to probability and linear algebra (over finite fields) with applications to cryptography, communication protocol and security. He plans to contribute to the algorithmic and probabilistic sides of the research done by Graphs@TMU by helping to bridge the programmers and software engineers to the graph theorists or research quantum algorithmic aspects in graph theory. His research will explore randomized numerical linear algebra for massive (hyper)graphs to find structures using randomness and construct matrix decompositions.
Professor Gavel has an educational background blending mathematics with computer science. He spent five years in Japan researching quantum device resiliency and secure-based computation, including quantum error correction and homomorphic cryptography. Error correction is a branch of coding theory that deals with correcting errors that arise naturally in machines when computing. Homomorphic cryptography is used in secure-based computation to allow computing entities to perform tasks on users' data without actually learning the data itself to help preserve privacy.
Professor Gavel has worked as a statistician for Hydro-Quebec, a contractual consultant in cryptology for the Canadian government, and a mathematics and statistics instructor at the Faculty of Continued Education of McGill University.
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Professor Gavel has an educational background blending mathematics with computer science. He spent five years in Japan researching quantum device resiliency and secure-based computation, including quantum error correction and homomorphic cryptography. Error correction is a branch of coding theory that deals with correcting errors that arise naturally in machines when computing. Homomorphic cryptography is used in secure-based computation to allow computing entities to perform tasks on users' data without actually learning the data itself to help preserve privacy.
Professor Gavel has worked as a statistician for Hydro-Quebec, a contractual consultant in cryptology for the Canadian government, and a mathematics and statistics instructor at the Faculty of Continued Education of McGill University.
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