{"id":105,"date":"2026-10-01T10:08:00","date_gmt":"2026-10-01T10:08:00","guid":{"rendered":"https:\/\/example.edu\/?page_id=102"},"modified":"2026-10-02T07:30:22","modified_gmt":"2026-10-02T07:30:22","slug":"research-2","status":"publish","type":"page","link":"https:\/\/blog.metu.edu.tr\/tugluk\/","title":{"rendered":"Research"},"content":{"rendered":"\n<div class=\"wp-block-columns alignwide is-layout-flex wp-container-core-columns-is-layout-f381066f wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column has-text-color has-background has-link-color wp-elements-1 is-layout-flow wp-block-column-is-layout-flow\" style=\"color:#ffffff;background-color:#347caa;padding-top:3em;padding-right:2em;padding-bottom:3em;padding-left:2em;flex-basis:25%\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1006\" height=\"1024\" src=\"https:\/\/blog.metu.edu.tr\/tugluk\/files\/2026\/10\/ozan_tugluk_img-1006x1024.jpg\" alt=\"\" class=\"wp-image-111\" srcset=\"https:\/\/blog.metu.edu.tr\/tugluk\/files\/2026\/10\/ozan_tugluk_img-1006x1024.jpg 1006w, https:\/\/blog.metu.edu.tr\/tugluk\/files\/2026\/10\/ozan_tugluk_img-295x300.jpg 295w, https:\/\/blog.metu.edu.tr\/tugluk\/files\/2026\/10\/ozan_tugluk_img-768x782.jpg 768w, https:\/\/blog.metu.edu.tr\/tugluk\/files\/2026\/10\/ozan_tugluk_img-1509x1536.jpg 1509w, https:\/\/blog.metu.edu.tr\/tugluk\/files\/2026\/10\/ozan_tugluk_img.jpg 1866w\" sizes=\"auto, (max-width: 1006px) 100vw, 1006px\" \/><\/figure>\n\n\n\n<h1 class=\"wp-block-heading has-text-align-right has-text-color has-x-large-font-size\" style=\"color:#ffffff;letter-spacing:0.05em;text-transform:uppercase\">Ozan Tu\u011fluk<\/h1>\n\n\n\n<p class=\"has-text-align-right has-text-color wp-block-paragraph\" style=\"color:#b0cadb\">Assistant Professor<br>Institute of Applied Mathematics, METU<\/p>\n\n\n\n<p class=\"has-text-align-right has-link-color wp-elements-2 wp-block-paragraph\" style=\"font-style:italic;font-weight:700;text-transform:uppercase\"><a href=\"#about\">Home<\/a><br><a href=\"#research\">Research<\/a><br><a href=\"#publications\">Publications<\/a><br><a href=\"#software\">Software<\/a><br><a href=\"#talks\">Talks<\/a><br><a href=\"#teaching\">Teaching<\/a><br><a href=\"#supervision\">Supervision<\/a><br><a href=\"#contact\">Contact<\/a><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:75%\">\n<div class=\"wp-block-group has-background is-layout-flow wp-block-group-is-layout-flow\" style=\"border-radius:5px;background-color:#5aba59;padding-top:0.8em;padding-right:0.8em;padding-bottom:0.8em;padding-left:0.8em\">\n<p class=\"has-text-color wp-block-paragraph\" style=\"color:#1f3320\">\ud83d\udce3 <strong>Fall 2026:<\/strong> I am teaching <strong>IAM 774 Scientific Machine Learning<\/strong> and <strong>IAM 574 Mathematical Foundations for Data Analysis<\/strong>. See <a href=\"#teaching\">Teaching<\/a>.<\/p>\n<\/div>\n\n\n\n<h2 id=\"about\" class=\"wp-block-heading has-text-color has-large-font-size\" style=\"color:#808080;letter-spacing:0.05em;text-transform:uppercase\">About<\/h2>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-alpha-channel-opacity has-background is-style-wide is-style-wide--1\" style=\"background-color:#c0c0c0;color:#c0c0c0\" \/>\n\n\n\n<p class=\"wp-block-paragraph\">I am an assistant professor at the <strong>Institute of Applied Mathematics (IAM)<\/strong> of <strong>Middle East Technical University (METU)<\/strong>, Ankara.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">My research is about <strong>certified error bounds for scientific computing<\/strong>: guarantees that tell you how far a computed quantity can be from the true one. I work on <strong>error-bounded lossy compression<\/strong> of scientific data with <strong>multilevel (multigrid) methods<\/strong>, on <strong>machine-checked proofs<\/strong> of these guarantees in <strong>Lean 4<\/strong>, on <strong>quantum algorithms for computational fluid dynamics<\/strong>, and on <strong>direct numerical simulation of turbulence<\/strong> and drag reduction.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Background:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Now @ <strong>METU<\/strong>: Assistant Professor, Institute of Applied Mathematics<\/li>\n\n\n\n<li>@ <strong>Brown University<\/strong>: co-developer of MGARD, the multilevel compression framework, with Mark Ainsworth, and Ben Whitney. Division of Applied Math.<\/li>\n\n\n\n<li>@ <strong>METU<\/strong>: doctoral research in the Department of Engineering Sciences with Hakan I. Tarman on spectral DNS of turbulent pipe flow and drag reduction<\/li>\n\n\n\n<li>Bunch of other places and roles in other lives, mostly forgotten \ud83d\ude42<\/li>\n<\/ul>\n\n\n\n<h2 id=\"research\" class=\"wp-block-heading has-text-color has-large-font-size\" style=\"color:#808080;letter-spacing:0.05em;text-transform:uppercase\">Research<\/h2>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-alpha-channel-opacity has-background is-style-wide is-style-wide--2\" style=\"background-color:#c0c0c0;color:#c0c0c0\" \/>\n\n\n\n<h4 class=\"wp-block-heading has-text-color has-medium-font-size\" style=\"color:#347caa\">Error-bounded compression of scientific data<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Multilevel (multigrid-based) methods for reducing large scientific datasets while keeping the reconstruction error, and the error in derived quantities of interest, under user-specified bounds. This includes the <strong>MGARD<\/strong> framework and its use on modern HPC and GPU systems.<\/p>\n\n\n\n<h4 class=\"wp-block-heading has-text-color has-medium-font-size\" style=\"color:#347caa\">Formal verification of numerical methods<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Machine-checked proofs, in <strong>Lean 4<\/strong> and Mathlib, of the error guarantees that numerical software relies on, including the effects of floating-point arithmetic.<\/p>\n\n\n\n<h4 class=\"wp-block-heading has-text-color has-medium-font-size\" style=\"color:#347caa\">Quantum algorithms for fluid dynamics<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Quantum and hybrid algorithms for linear and nonlinear PDEs arising in fluid flow, with an emphasis on extracting engineering quantities of interest from a quantum state and on honest comparison with classical methods.<\/p>\n\n\n\n<h4 class=\"wp-block-heading has-text-color has-medium-font-size\" style=\"color:#347caa\">Turbulence and drag reduction<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Spectral direct numerical simulation of turbulent pipe flow and mechanisms of turbulent drag reduction.<\/p>\n\n\n\n<h4 class=\"wp-block-heading has-text-color has-medium-font-size\" style=\"color:#347caa\">High-order CFD and scientific machine learning<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">High-order flux-reconstruction solvers on heterogeneous hardware, high-temperature gas thermodynamics, and machine-learning methods for scientific computing.<\/p>\n\n\n\n<h2 id=\"publications\" class=\"wp-block-heading has-text-color has-large-font-size\" style=\"color:#808080;letter-spacing:0.05em;text-transform:uppercase\">Selected Publications<\/h2>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-alpha-channel-opacity has-background is-style-wide is-style-wide--3\" style=\"background-color:#c0c0c0;color:#c0c0c0\" \/>\n\n\n\n<p class=\"has-text-color wp-block-paragraph\" style=\"color:#808080;font-style:italic;font-weight:700;text-transform:uppercase\">Journal articles<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong><a href=\"https:\/\/doi.org\/10.1137\/19M1267878\">Multilevel Techniques for Compression and Reduction of Scientific Data\u2014The Unstructured Case<\/a><\/strong><br><span style=\"color:#8a8f94;font-size:0.9em\">M. Ainsworth, O. Tu\u011fluk, B. Whitney, S. Klasky. <em>SIAM Journal on Scientific Computing<\/em> 42(2), A1402\u2013A1427, 2020.<\/span><\/li>\n\n\n\n<li><strong><a href=\"https:\/\/doi.org\/10.1137\/18M1208885\">Multilevel Techniques for Compression and Reduction of Scientific Data\u2014Quantitative Control of Accuracy in Derived Quantities<\/a><\/strong><br><span style=\"color:#8a8f94;font-size:0.9em\">M. Ainsworth, O. Tu\u011fluk, B. Whitney, S. Klasky. <em>SIAM Journal on Scientific Computing<\/em> 41(4), A2146\u2013A2171, 2019.<\/span><\/li>\n\n\n\n<li><strong><a href=\"https:\/\/doi.org\/10.1137\/18M1166651\">Multilevel Techniques for Compression and Reduction of Scientific Data\u2014The Multivariate Case<\/a><\/strong><br><span style=\"color:#8a8f94;font-size:0.9em\">M. Ainsworth, O. Tu\u011fluk, B. Whitney, S. Klasky. <em>SIAM Journal on Scientific Computing<\/em> 41(2), A1278\u2013A1303, 2019.<\/span><\/li>\n\n\n\n<li><strong><a href=\"https:\/\/doi.org\/10.1007\/s00791-018-00303-9\">Multilevel Techniques for Compression and Reduction of Scientific Data\u2014The Univariate Case<\/a><\/strong><br><span style=\"color:#8a8f94;font-size:0.9em\">M. Ainsworth, O. Tu\u011fluk, B. Whitney, S. Klasky. <em>Computing and Visualization in Science<\/em> 19, 65\u201376, 2018.<\/span><\/li>\n<\/ul>\n\n\n\n<p class=\"has-text-color wp-block-paragraph\" style=\"color:#808080;font-style:italic;font-weight:700;text-transform:uppercase\">Conference contributions<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Drag Reduction via Phase Randomization in Turbulent Pipe Flow<\/strong><br><span style=\"color:#8a8f94;font-size:0.9em\">O. Tu\u011fluk, H. I. Tarman. <em>ENUMATH 2015<\/em>, European Conference on Numerical Mathematics and Advanced Applications, Ankara, 2015.<\/span><\/li>\n\n\n\n<li><strong>POD Analysis of Drag Reduction in Turbulent Pipe Flow<\/strong><br><span style=\"color:#8a8f94;font-size:0.9em\">O. Tu\u011fluk, H. I. Tarman. <em>ECCOMAS 2012<\/em>, European Congress on Computational Methods in Applied Sciences and Engineering, 2012.<\/span><\/li>\n<\/ul>\n\n\n\n<h2 id=\"software\" class=\"wp-block-heading has-text-color has-large-font-size\" style=\"color:#808080;letter-spacing:0.05em;text-transform:uppercase\">Software<\/h2>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-alpha-channel-opacity has-background is-style-wide is-style-wide--4\" style=\"background-color:#c0c0c0;color:#c0c0c0\" \/>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong><a href=\"https:\/\/github.com\/CODARcode\/MGARD\">MGARD<\/a><\/strong>: error-bounded multilevel lossy compression and refactoring for scientific data, with CPU and GPU backends, progressive retrieval and quantity-of-interest preservation.<\/li>\n<\/ul>\n\n\n\n<h2 id=\"talks\" class=\"wp-block-heading has-text-color has-large-font-size\" style=\"color:#808080;letter-spacing:0.05em;text-transform:uppercase\">Talks<\/h2>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-alpha-channel-opacity has-background is-style-wide is-style-wide--5\" style=\"background-color:#c0c0c0;color:#c0c0c0\" \/>\n\n\n\n<h4 class=\"wp-block-heading has-text-color has-medium-font-size\" style=\"color:#347caa\">Reading Engineering Answers Off a Quantum Fluid Solve<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>QTADE 2026: Quantum Techniques and Algorithms for Differential Equations, Bilbao, 21\u201325 September 2026<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading has-text-color has-medium-font-size\" style=\"color:#347caa\">Drag Reduction via Phase Randomization in Turbulent Pipe Flow<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>ENUMATH 2015, Ankara, 2015<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading has-text-color has-medium-font-size\" style=\"color:#347caa\">POD Analysis of Drag Reduction in Turbulent Pipe Flow<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>ECCOMAS 2012<\/li>\n<\/ul>\n\n\n\n<h2 id=\"teaching\" class=\"wp-block-heading has-text-color has-large-font-size\" style=\"color:#808080;letter-spacing:0.05em;text-transform:uppercase\">Teaching<\/h2>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-alpha-channel-opacity has-background is-style-wide is-style-wide--6\" style=\"background-color:#c0c0c0;color:#c0c0c0\" \/>\n\n\n\n<p class=\"has-text-color wp-block-paragraph\" style=\"color:#808080;font-style:italic;font-weight:700;text-transform:uppercase\">Fall 2026, METU Institute of Applied Mathematics<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>IAM 774 Scientific Machine Learning<\/strong>: deep-learning foundations, physics-informed neural networks, neural ODEs and operator learning, taught in PyTorch. Reading and correcting AI-generated SciML code is a graded skill.<\/li>\n\n\n\n<li><strong>IAM 574 Mathematical Foundations for Data Analysis<\/strong>: linear algebra up to the spectral theorem, matrix decompositions, least squares, SVD and PCA, vector calculus and automatic differentiation, continuous optimization, probability and maximum likelihood.<\/li>\n\n\n\n<li><strong>IAM 590 \/ 690 Scientific Presentation Seminar<\/strong>: MS and PhD students give two talks each and peer-review every classmate against a shared rubric.<\/li>\n<\/ul>\n\n\n\n<h2 id=\"supervision\" class=\"wp-block-heading has-text-color has-large-font-size\" style=\"color:#808080;letter-spacing:0.05em;text-transform:uppercase\">Supervision<\/h2>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-alpha-channel-opacity has-background is-style-wide is-style-wide--7\" style=\"background-color:#c0c0c0;color:#c0c0c0\" \/>\n\n\n\n<p class=\"wp-block-paragraph\">I supervise MS theses at the Institute of Applied Mathematics and serve on thesis committees in Scientific Computing and Data and Decision Sciences.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">I welcome prospective MS and PhD students interested in compression with guarantees, formal verification of numerical methods, scientific machine learning or quantum algorithms for PDEs. Please get in touch by email.<\/p>\n\n\n\n<h2 id=\"contact\" class=\"wp-block-heading has-text-color has-large-font-size\" style=\"color:#808080;letter-spacing:0.05em;text-transform:uppercase\">Contact<\/h2>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-alpha-channel-opacity has-background is-style-wide is-style-wide--8\" style=\"background-color:#c0c0c0;color:#c0c0c0\" \/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Email:<\/strong> <a href=\"mailto:tugluk@metu.edu.tr\">tugluk@metu.edu.tr<\/a><br><strong>Address:<\/strong> Institute of Applied Mathematics, Middle East Technical University, 06800 \u00c7ankaya, Ankara, T\u00fcrkiye<br><strong>GitHub:<\/strong> <a href=\"https:\/\/github.com\/tugluk\">github.com\/tugluk<\/a><\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Ozan Tu\u011fluk, Institute of Applied Mathematics, METU: certified error bounds, error-bounded compression, Lean-verified numerics, quantum CFD, turbulence.<\/p>\n","protected":false},"author":9445,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-no-title","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-105","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blog.metu.edu.tr\/tugluk\/wp-json\/wp\/v2\/pages\/105","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.metu.edu.tr\/tugluk\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blog.metu.edu.tr\/tugluk\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blog.metu.edu.tr\/tugluk\/wp-json\/wp\/v2\/users\/9445"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.metu.edu.tr\/tugluk\/wp-json\/wp\/v2\/comments?post=105"}],"version-history":[{"count":0,"href":"https:\/\/blog.metu.edu.tr\/tugluk\/wp-json\/wp\/v2\/pages\/105\/revisions"}],"wp:attachment":[{"href":"https:\/\/blog.metu.edu.tr\/tugluk\/wp-json\/wp\/v2\/media?parent=105"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}