Kavita Ramanan | |
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| Born | Chennai, Tamil Nadu, India |
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| Doctoral advisor | Paul Dupuis |
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Kavita Ramanan is a probability theorist who works as a professor of applied mathematics at Brown University.
Kavita Ramanan | |
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| Born | Chennai, Tamil Nadu, India |
| Academic background | |
| Education | |
| Doctoral advisor | Paul Dupuis |
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| Institutions | |
Kavita Ramanan is a probability theorist who works as a professor of applied mathematics at Brown University.
Ramanan was born in Chennai,Tamil Nadu,India to Anuradha Ramanan and algebraic geometer S. Ramanan. [1] Ramanan earned a bachelor's degree in chemical engineering at the Indian Institute of Technology Bombay in 1992. She completed her Ph.D. in applied mathematics at Brown University in 1996. [2] Her dissertation,supervised by Paul Dupuis,was Construction and Large Deviation Analysis of Constrained Processes,with Applications to Communication Networks. [3]
After postdoctoral studies at the Technion,she worked at Bell Labs from 1997 to 2002,and as a faculty member in mathematical sciences at Carnegie Mellon University from 2002 to 2009. She returned to Brown as a faculty member in 2010. [2]
Ramanan won the Erlang Prize of the Applied Probability Society of INFORMS in 2006. [4] She was elected as a fellow of the Institute of Mathematical Statistics in 2013, [5] and elected to the 2018 class of fellows of the American Mathematical Society [6] and the Institute for Operations Research and the Management Sciences. [7] She gave the 2015 Medallion lecture for the Institute of Mathematical Statistics,on "Infinite-dimensional scaling limits of stochastic networks". [8] In 2019,Ramanan was elected fellow of the American Association for the Advancement of Science (AAAS). [9] In 2020 she was elected a fellow of the Society for Industrial and Applied Mathematics with the citation "Kavita Ramanan,Brown University,is being recognized for contributions to constrained and reflected processes and stochastic networks." [10]
She received a Guggenheim Fellowship in 2020. [11] She was elected to the American Academy of Arts and Sciences in 2021. [12] She was awarded a Distinguished Research Achievement Award from Brown University in 2021, [13] and she was named to the Department of Defense's Class of 2021 Vannevar Bush Faculty Fellows. [14] She was appointed Senior Scholar at the Clay Mathematics Institute January–June 2022. [15]
The Institute of Mathematical Statistics is an international professional and scholarly society devoted to the development,dissemination,and application of statistics and probability. The Institute currently has about 4,000 members in all parts of the world. Beginning in 2005,the institute started offering joint membership with the Bernoulli Society for Mathematical Statistics and Probability as well as with the International Statistical Institute. The Institute was founded in 1935 with Harry C. Carver and Henry L. Rietz as its two most important supporters. The institute publishes a variety of journals,and holds several international conference every year.
Sundararaman Ramanan is an Indian mathematician who works in the area of algebraic geometry,moduli spaces and Lie groups. He is one of India's leading mathematicians and recognised as an expert in algebraic geometry,especially in the area of moduli problems. He has also worked in differential geometry:his joint paper with MS Narasimhan on universal connections has been influential. It enabled SS Chern and B Simons to introduce what is known as the Chern-Simons invariant,which has proved useful in theoretical physics.
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Cynthia Diane Rudin is an American computer scientist and statistician specializing in machine learning and known for her work in interpretable machine learning. She is the director of the Interpretable Machine Learning Lab at Duke University,where she is a professor of computer science,electrical and computer engineering,statistical science,and biostatistics and bioinformatics. In 2022,she won the Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity from the Association for the Advancement of Artificial Intelligence (AAAI) for her work on the importance of transparency for AI systems in high-risk domains.
Peter Jagers is a Professor Emeritus of Mathematical Statistics at University of Gothenburg and Chalmers University of Technology who made lasting contributions in probability and general branching processes. Jagers was first vice president (2007–2010) of the Royal Swedish Academy of Sciences and Chair of the Royal Society of Arts and Sciences in Gothenburg (2012). He in an elected member of the International Statistical Institute,a Fellow of the Institute of Mathematical Statistics and past President of the Bernoulli Society (2005–2007). He also served as a member of the Scientific Advisory Board of Statistics Sweden.
Qi-Man Shao is a Chinese probabilist and statistician mostly known for his contributions to asymptotic theory in probability and statistics. He is currently a Chair Professor of Statistics and Data Science at the Southern University of Science and Technology.
Moulinath (Mouli) Banerjee is an Indian statistician at the University of Michigan.
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