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Rajat Subhra Hazra

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Indian mathematician

Dr.Rajat Subhra Hazra
BornKolkata, India
NationalityIndian
Alma materSt. Xavier's College, Kolkata
University of Calcutta
Indian Statistical Institute
AwardsShanti Swarup Bhatnagar Prize (2020)
Scientific career
FieldsMathematics
InstitutionsIndian Statistical Institute

Dr. Rajat Subhra Hazra is an Indian mathematician specialising in probability theory. He was awarded the Shanti Swarup Bhatnagar Prize for Science and Technology, the highest science award in India, for the year 2020 in mathematical science category. He is affiliated to the Mathematical Institute of Leiden University, the Netherlands from 2021. Prior to that he was affiliated to Indian Statistical Institute, Kolkata. Dr. Hazra has a very broad range of research interests including extreme value theory, regular variation, random matrices, free probability, Gaussian free fields, branching random walks, membrane models, random graphs, etc.

He is well known for his out of the box analysis of day to day events. A recent example came into limelight when he asked an exam question with Covfefe, a word that featured in US President Donald Trump’s tweet for random sequence of letters.

He is an elected Fellow of Indian Academy of Sciences.

Selected bibliography

Articles

References

  1. "Shanti Swarup Bhatnagar Prize 2020: Pathbreaking research that won 14 scientists India's top science prize". Tech2. Firstpost. 29 September 2020.
  2. "SSB awardee in 2020" (PDF). Shanti Swarup Bhatnagar Prize. CSIR Human Resource Development Group, New Delhi.
  3. "Rajat Hazra".
  4. "Indian Statistical Institute - Faculty profiles". irins.inflibnet.ac.in. INFLIBNET Centre.
  5. "ISI Kolkata professor gives the answer to the viral Donald Trump 'COVFEFE' question". The Indian Express. 4 December 2017.
  6. "Prof. Rajat Subhra Hazra - Fellow profile". fellows.ias.ac.in. Indian Academy of Sciences. Retrieved 22 October 2020.

External links

Recipients of Shanti Swarup Bhatnagar Prize for Science and Technology in Mathematical Science
1950s–70s
1980s
1990s
2000s
2010s
2020s
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