We explore the universal properties underlying large-scale social systems through mathematical models derived by computing with big data obtained from large-scale resources. Using these models, we explore new ways of engineering to aid human social activities.
Associate ProfessorInstitute of Industrial Science, The University of Tokyo Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo
Aihara lab., Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan.
Tel: +81-3-5452-6697 (Ext. 56697)
|March 2007||Bachelor of Science from Faculty of Science, Kyoto University|
|March 2009||Master of Science from Department of Physics, Graduate School of Science, Kyoto University|
|March 2012||Ph.D. in Science from Department of Physics, Graduate School of Science, Kyoto University|
|April 2012||Researcher, Japan Science and Technology|
|April 2013||Japan Society for the Promotion of Science Fellowship for Young Scientists|
|April 2016||Project Research Associate, Institute of Industrial Science, The University of Tokyo|
|April 2018||Project Associate Professor, Institute of Industrial Science, The University of Tokyo|
Our main topics is time-series analysis. We especially focus on the statistical analysis of point process data, which describe events that occur irregularly in time. Our research includes (1) the development of estimation and forecast method based on Bayesian statistics and (2) its application to earthquake, economic, and social data.
- T. Omi, Y. Hirata, and K. Aihara, “Hawkes process model with a time-dependent background rate and its application to high-frequency financial data”, Physical Review E 96, 012303 (2017).
- T. Omi, Y. Ogata, Y. Hirata, and K. Aihara, “Forecasting large aftershocks within one day after the main shock”, Scientific Reports 3, 2218 (2013).
- T. Omi and S. Shinomoto, “Optimizing time histograms for non-Poissonian spike trains”, Neural Computation 23, 3125 (2011).
Department of Mathematical Informatics,
Graduate School of Information Science and Technology
Room 354,Engineering Building 6, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656
Tel: 03-5841-6959 (ext. 26959)
|March 2001||Bachelor (Science) Department of Mathematics, Faculty of Science, The University of Tokyo, Japan|
|March 2003||M.S. (Mathematical Sciences) Graduate School of Mathematical Sciences, The University of Tokyo, Japan|
|March 2006||Ph.D. (Mathematical Sciences) Graduate School of Mathematical Sciences, The University of Tokyo, Japan|
|April 2006||National Institute of Advanced Industrial Science and Technology, post-doc researcher, Japan|
|April 2007||National Institute of Advanced Industrial Science and Technology, researcher|
|March 2013||National Institute of Advanced Industrial Science and Technology, senior researcher, Japan|
|October 2014||Japan Science and Technology Agency, PRESTO (additional; until March 2018)|
|April 2018||Associate Professor, Graduate School of Information Science and Technology, The University of Tokyo, Japan|
The main subjects of my research are cryptography and information security technologies that are bases of security for various information technologies. Examples are as follows:
● Theory of cryptography
Designs and security analyses for cryptographic schemes, particularly aiming at realizing long-term security against future adversaries with highly advanced computational powers.
● Privacy-preserving data mining
Secure computation schemes that enable to utilize data while preserving the security/privacy, in various application areas.
● Fundamental mathematics
Mathematical theory including group theory and discrete mathematics, and their application to cryptography.
Main paper and books
- Koji Nuida, Goichiro Hanaoka, “On the security of pseudorandomized information-theoretically secure schemes”, IEEE Transactions on Information Theory, vol.59, no.1, pp.635-652, 2013.
- Koji Nuida, Kaoru Kurosawa, “(Batch) Fully Homomorphic Encryption over Integers for Non-Binary Message Spaces”, in: EUROCRYPT 2015 (Part I), LNCS vol.9056, pp.537-555, 2015.
- Kana Shimizu, Koji Nuida, Gunnar Ratsch, “Efficient Privacy-Preserving String Search and an Application in Genomics”, Bioinformatics, vol.32, no.11, pp.1652-1661, 2016.
- Robert B. Howlett, Bernhard Muhlherr, Koji Nuida, “Intrinsic Reflections and Strongly Rigid Coxeter Groups”, Proceedings of the London Mathematical Society, vol.116, no.3, pp.534-574, 2018.