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个人简介
Chandra Nair is a Professor with the Information Engineering department at The Chinese University of Hong Kong. His research interests and contributions have been in developing ideas, tools, and techniques to tackle families of combinatorial and non-convex optimization problems arising primarily in the information sciences.
His recent research focus has been on studying the optimality of certain inner and outer bounds to capacity regions for fundamental problems in multiuser information theory. He received the 2016 Information Theory Society paper award for developing a novel way to establish the optimality of Gaussian distributions for a class of non-convex optimization problems arising in multiuser information theory. A proof of the Parisi and Coppersmith-Sorkin conjectures in the Random Assignment Problem was his doctoral dissertation; and he resolved some conjectures related to Random Energy model approximation of the Number Partition Problem during his post-doctoral years.
His recent research focus has been on studying the optimality of certain inner and outer bounds to capacity regions for fundamental problems in multiuser information theory. He received the 2016 Information Theory Society paper award for developing a novel way to establish the optimality of Gaussian distributions for a class of non-convex optimization problems arising in multiuser information theory. A proof of the Parisi and Coppersmith-Sorkin conjectures in the Random Assignment Problem was his doctoral dissertation; and he resolved some conjectures related to Random Energy model approximation of the Number Partition Problem during his post-doctoral years.
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2023 IEEE International Symposium on Information Theory (ISIT)pp.1824-1829, (2023)
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arxiv(2023)
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ISIT (2023): 2452-2457
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IEEE Transactions on Information Theoryno. 8 (2022): 5013-5043
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International Symposium on Information Theory (ISIT)pp.432-437, (2022)
2019 IEEE International Symposium on Information Theory (ISIT)no. 12 (2021): 7665-7684
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