Miklós Ajtai is affiliated with the Hungarian Academy of Sciences in Hungary. Their research activity is primarily focused in the field of computer science, with specific contributions concentrated in artificial intelligence and computational theory and mathematics.
The scientist's work encompasses several main topics including machine learning and algorithms, complexity and algorithms in graphs, and cryptography and data security. These areas illustrate a broad engagement with both theoretical and applied aspects of computation.
Miklós Ajtai has authored research published in notable venues, including arXiv (Cornell University). A recent publication from 2022 is titled "The White-Box Adversarial Data Stream Model" and it contributes to the corpus of work available through arXiv.
The frequent collaborators listed in their research include Vladimir Braverman, T. S. Jayram, Sandeep Silwal, Alec Sun, and David P. Woodruff, reflecting a network of partnerships in computational research.
Miklós Ajtai has been recognized by the scientific community through fellowship awards, notably being named a Fellow of the American Association for the Advancement of Science (AAAS) in 2012.
M. Ajtai
M. Ajtai;J. Komlós;E. Szemerédi
Miklós Ajtai;Cynthia Dwork
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Miklós Ajtai
Miklós Ajtai;Ravi Kumar;D. Sivakumar
M. Ajtai;J. Komlós;E. Szemerédi
Miklós Ajtai
Miklós Ajtai
M. Ajtai;V. Chvátal;M.M. Newborn;E. Szemerédi
Miklós Ajtai;János Komlós;Endre Szemerédi
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Miklós Ajtai;János Komlós;Gábor E. Tusnády
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M. Ajtai;J. Komlos;E. Szemeredi
Miklos Ajtai;Randal Chilton Burns;Ronald Fagin;Larry Joseph Stockmeyer
Miklós Ajtai;János Komlós;Endre Szemerédi
Miklós Ajtai;János Komlós;Endre Szemerédi
Miklós Ajtai;János Komlós;Endre Szemerédi
Miklos Ajtai;Ronald Fagin
M. Ajtai;Janos Komlos;E. Szemeredi
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French Institute for Research in Computer Science and Automation - INRIA
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