<div dir="ltr"><div>(please scroll down for English)<br></div><div><br></div>Değerli liste üyeleri,<div><br></div><div>daha önce duyurulduğu gibi Matematik Vakfı'nın verdiği İkeda Araştırma Ödülü'ne Koç Üniversitesi'nden<span class="gmail-Apple-converted-space"> </span><b>Asgar Jamneshan</b>, Körezlioğlu Araştırma Ödülü'ne Boğaziçi Üniversitesi'nden<span class="gmail-Apple-converted-space"> </span><b>Ümit Işlak</b> layık görüldü.</div><div><div><br></div><div>Ödül töreni <b>yarın</b>, 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 töreni için düzenlenen posteri ekte bulabilirsiniz. </div><div><br></div><div>Ödül sahipleri ve araştırmaları ile ilgili kısa bilgi aşağıda verilmiştir. </div><div><br></div><div>Törene herkes davetlidir ve sizi de aramızda görmekten mutluluk duyarız. </div></div><div><br></div><div>Matematik Vakfı adına,</div><div>Alp Bassa</div><div><br></div><div>*********************</div><div>[ENGLISH]</div><div><br></div><div>Dear List Members,</div><div><br></div><div>As previously announced, the Ikeda Research Award has been awarded to <b>Asgar Jamneshan</b> from Koç University and the Körezlioğlu Research Award has been awarded to <b>Ümit Işlak</b> from Boğaziçi University. </div><div><br></div><div>The award ceremony will take place <b>tomorrow</b>, May 4th 2023, at 15:30 in the Cahit Arf auditorium at the Department of Mathematics of the Middle East Technical University. Please find attached a poster of the event. </div><div><br></div><div>On this occasion, the prize recipients will deliver talks, whose details can be found below. </div><div><br></div><div>You are cordially invited to the award ceremony. </div><div><br></div><div>Your sincerely,</div><div><br></div><div>Alp Bassa</div><div><br></div><div><span style="color:rgb(85,85,85);font-family:arial,sans-serif;font-size:12.80128002166748px">(on behalf of the Mathematics Foundation)</span><br></div><div><span style="color:rgb(85,85,85);font-family:arial,sans-serif;font-size:12.80128002166748px"><br></span></div><div><div><span style="color:rgb(85,85,85);font-family:arial,sans-serif;font-size:12.80128002166748px">******************</span></div><div><b>2022 İkeda Research Award Recipient Asgar Jamneshan</b></div><div><b>Title of Talk: </b>Higher-order Fourier analysis<br><br><b>Abstract:<span class="gmail-Apple-converted-space"> </span></b>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.<span class="gmail-Apple-converted-space"> </span><br><br><b>About Asgar Jamneshan</b><br><br></div></div><div>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.<span class="gmail-Apple-converted-space"> </span><br><br>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. <br></div><div><br></div><div><span style="color:rgb(85,85,85);font-family:arial,sans-serif;font-size:12.80128002166748px">******************</span></div><div><b>2022 Körezlioğlu Research Award Recipient Ümit Işlak</b></div><div><b>Title of Talk:<span class="gmail-Apple-converted-space"> </span></b>Stein's method and subsequence problems<span class="gmail-Apple-converted-space"> </span><br><br><b>Abstract:<span class="gmail-Apple-converted-space"> </span></b>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.<span class="gmail-Apple-converted-space"> </span><br><br><b>About Ümit Işlak</b><br>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. <br><br>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. </div></div>