Cristian S. Calude

Cristian Sorin Calude (born 21 April 1952) is a Romanian-New Zealander mathematician and computer scientist.[1] He graduated from the National College Vasile Alecsandri in Galați, and the University of Bucharest and was student of Grigore C. Moisil and Solomon Marcus.[2] He is currently chair professor at the University of Auckland,[3] New Zealand and also the founding director of the Centre for Discrete Mathematics and Theoretical Computer Science.[4] Visiting Professor in many universities in Europe, North and South America, Australasia, South Africa, including Monbusho Visiting Professor, JAIST, 1999 and Visiting Professor ENS, Paris, 2009, École Polytechnique, Paris, 2011; Visiting Fellow, Isaac Newton Institute for Mathematical Sciences, 2012; Guest Professor, Sun Yat-sen University, Guangzhou, China, 2017–2020; Visiting Fellow ETH Zurich, 2019. Former professor at the University of Bucharest. Author or co-author of more than 270 research articles and 8 books.[5] Cited by more than 550 authors.[6] Research in algorithmic information theory, quantum computing, discrete mathematics and history and philosophy of computation.[7]

Cristian S. Calude
Portrait of Professor Cristian S. Calude. Taken by Godfrey Boehnke on 20 April 2011 at the University of Auckland, Auckland, New Zealand.
Born (1952-04-21) 21 April 1952
NationalityRomanian
Alma materUniversity of Bucharest
Known forAlgorithmic Information Theory and Quantum Theory contributions
Scientific career
FieldsMathematician
InstitutionsUniversity of Auckland, Academia Europaea
Doctoral advisorSolomon Marcus

In 2017, together with Sanjay Jain, Bakhadyr Khoussainov, Wei Li, and Frank Stephan, he announced an algorithm for deciding parity games in quasipolynomial time.[8] Their result was presented at the Symposium on Theory of Computing 2017[9] and won a Best Paper Award.[10]

He was awarded the National Order of Faithful Service in the degree of Knight[11] by the President of Romania, Mr. Klaus Iohannis, in June 2019.

Selected bibliography: Articles

Selected bibliography: Books

Distinctions and Prizes

Notes

gollark: You're wrong and you still don't understand what lossy compression means.
gollark: This seems unlikely also, since rerecording it discards information.
gollark: If your WAV file is the original one from whoever made the song, it might sound better. If your WAV file is just generated from the MP3, it will be identical to playing back the MP3 normally.
gollark: Converting to JPEG has dropped information, information which the design of JPEG treats as relatively unimportant to human perception, and if you convert back to lossless you'll just store the same information as the JPEG retains less efficiently.
gollark: JPEGs are lossy too. What happens if you take a poor-quality JPEG of a meme and convert it back to PNG (which is lossless)? Does it look better? No.
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