[Turkmath:6056] 2022 İkeda ve Körezlioğlu Araştırma Ödülleri / 2022 Ikeda and Körezlioğlu Research Awards

[Alp Bassa]

(please scroll down for English)

Değerli liste üyeleri,

Matematik Vakfı'nın verdiği İkeda Araştırma Ödülü ve Körezlioğlu Araştırma
Ödülü jüri değerlendirmeleri sonuçlarını duyurmaktan mutluluk duyarız:

2022 İkeda Araştırma Ödülü'ne Koç Üniversitesi'nden *Asgar Jamneshan*,

2022 Körezlioğlu Araştırma Ödülü'ne Boğaziçi Üniversitesi'nden *Ümit Işlak*

layık görüldü. Her iki araştırmacıyı da tebrik eder, başarılarının devamını
dileriz.

Her iki ödül için tören 4 Mayıs 2023 tarihinde saat 15:30'da Orta Doğu
Teknik Üniversitesi Matematik Bölümü, Cahit Arf
Amfisi'nde gerçekleştirilecektir. Ödül töreninde Asgar Jamneshan ve Ümit
Işlak aşağıda detaylarını bulacağınız konuşmaları verecektir. Ödül
sahipleri ve araştırmaları ile ilgili kısa bilgi aşağıda verilmiştir.

Saygılarımla,

Matematik Vakfı adına,
Alp Bassa

*********************
[ENGLISH]

Dear List Members,

it is our pleasure to announce that

the 2022 Ikeda Research Award has been awarded to Asgar Jamneshan from Koç
University

and the 2022 Körezlioğlu Research Award has been awarded to Ümit Işlak from
Boğaziçi University.

The award ceremony will take place on May 4th 2023 at 15:30 in the Cahit
Arf auditorium at the Department of Mathematics of the Middle East
Technical University.

On this occasion, the prize recipients will deliver talks, whose details
you can find below.

Your sincerely,

Alp Bassa

(on behalf of the Mathematics Foundation)

******************
*2022 İkeda Research Award Recipient Asgar Jamneshan*
*Title of Talk: *Higher-order Fourier analysis

*Abstract: *Higher-order Fourier analysis emerged from Gowers'
groundbreaking work on Szemeredi's theorem. Since then the subject has
developed into a multidisciplinary field including areas such as ergodic
theory and discrete mathematics, with applications in areas such as
analytic number theory and theoretical computer science. The key concept in
the subject is the Gowers norm. Understanding qualitative and  quantitative
aspects of the inverse theory for the Gowers norm is of major theoretical
and practical interest. An approach to the qualitative inverse theory is
through ergodic theory, where it is intimately connected with the structure
theory for the Host-Kra-Ziegler factors of measure-preserving systems for
abelian group actions. In this talk, I will start with an introduction to
the Gowers norm and then introduce and discuss the ergodic theoretical
approach to its inverse theory. If time permits, I will include my
contributions to resolve certain special cases of the ergodic inverse
problem, which is based on joint work with Or Shalom and Terence Tao.

*About Asgar Jamneshan*

Asgar Jamneshan received both his Diplom and PhD from the mathematics
department of Humboldt University of Berlin. Dr. Jamneshan then had
postdoctoral positions at University of Kostanz, ETH Zurich, and UCLA. He
currently works as an assistant professor at the mathematics department of
Koç University. His main research interests are in the fields of ergodic
theory, additive combinatorics, harmonic analysis, functional analysis, and
Boolean-valued logic.

Asgar Jamneshan recent research activity focuses on the interdisciplinary
subject of higher-order Fourier analysis. More particularly, he has done
work on Furstenberg-Zimmer and Host-Kra structure theories, the inverse
theory for the Gowers uniformity norms, uncountable ergodic theory, and
singular integrals on homogeneous Lie groups.

******************
*2022 Körezlioğlu Research Award Recipient Ümit Işlak*
*Title of Talk: *Stein's method and subsequence problems

*Abstract: *The talk will begin with a brief overview of Stein's method and
certain random permutation/word statistics. Then we will discuss results
and open questions on the longest common subsequence problem, which is a
classical similarity measure for discrete sequences. Some notes on the
well-known increasing subsequence and relatively less-known alternating
subsequence problems will be included. The talk will be concluded with
discussions on the use of similarity measures in time series analysis.

*About Ümit Işlak*
After getting his BS and MS degrees from the mathematics department of
Bogazici University, Ümit Işlak received his PhD on Applied Mathematics at
the University of Southern California in 2014. Dr. Işlak then had
postdoctoral positions at University of Minnesota and GeorgiaTech. He
currently works as an associate professor at  the mathematics department of
Bogazici University.

Ümit Işlak's research focuses on probability theory and related fields.
More particularly, he has done work on Stein’s method, concentration
inequalities, subsequence problems, random graphs, Markov chains and time
series analysis. He is also generally interested in statistical learning
theory and financial mathematics, in both theory and applications.
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