Korkut Kaynardag

From elastic waves causing dynamic vibrations in a bridge to the matter waves inside a single atom (fun fact: roughly 7 × 1027 atoms in a human body), wave motion sits at the center of the physical world. What we observe, though, arrives as discrete measurements. Data analytics is how we recover the information behind those numbers, and how we make it useful.

Korkut Kaynardag, PhD

This webpage introduces you to followings:

  1. Myself
  2. My Research
  3. Big Picture of Waves and Data Analytics:
  4. Blog / Communication tips
About me My research areas

Myself:

I am currently an Assistant Professor at Izmir Institute of Technology. I performed product and service-oriented research and solutions on structural health monitoring and non-destructive testing systems during his M.Sc. at Bogazici University (Istanbul, Turkey, 2013-2016) and Ph.D. at the University of Texas at Austin (Texas, USA, 2016-2023). Afterward, I worked in industry as Applied Data Scientist at Transtek International Group (Florida, USA, 2023-2024) for bridge and road monitoring solutions, and as a senior AI Engineer at Renesas Electronics America (Maryland, USA, 2024-2026) for acoustic wave-based vehicle monitoring solutions. During my career, I worked on tall buildings, masonry buildings and bridges, suspension bridge, wind turbines, railway tracks, and vehicles. Accordingly, I specialize on SHM, NDT and sound target analysis which are deployed off-line through developed software and tools, cloud data processing or on-board processing via microchips. Please see about me section for detailed information through my CV.

Motivation for Creating the Educational Sections

As a civil engineer, I only encountered topics like vibrations, waves, signals, system identification, probability, statistics, estimation, stochastic process, machine learning, Python and programming after completing my undergraduate studies. This made learning them particularly challenging. It took me a long time, with repeated study, to truly grasp:

  • What methods are in each topic, what they actually do (the intuition and logic), and thus what the big picture of each topic is
  • What kinds of problems they solve and where these methods are applied
  • How similar concepts reappear across different fields
  • How deeply interconnected they actually are

That final realization was my “Aha!” moment.

My goal in creating these educational sections is to shorten your learning journey. These sections are designed not to teach your mathematics of each method/algorithm, but rather than make you figure out the answers of the 4 questions above. Accordingly, I aim to help you understand these topics more quickly and clearly, so you can spend less time struggling with the basics and more time applying them meaningfully in your work.

Explore the topics