Korkut Kaynardag

Curriculum vitae

Korkut Kaynardag, Ph.D.

Izmir, Turkiyekorkutkaynardag@iyte.edu.tr

Education

  • The University of Texas at Austin

    Austin, TX, USA

    Ph.D. in Civil Engineering

    –

  • Bogazici University

    Istanbul, Turkey

    M.Sc. in Civil Engineering

    –

  • Bogazici University

    Istanbul, Turkey

    B.S. in Civil Engineering

    –

Research Interests and Areas of Expertise

  • Structural Health Monitoring
  • Non-Destructive Testing
  • Real-Time Automated Monitoring
  • Contact and Non-Contact Sensing
  • Connected Vehicles
  • Vehicle and Structural Dynamics
  • Acoustic Wave Propagation
  • System Identification
  • Data Science and Machine Learning
  • Predictive Maintenance
  • Digital Twins and Optimization
  • Analytical and Numerical Modeling
  • Structural Reliability and Resiliency
  • Signal Processing and Noise Reduction
  • Cloud and Embedded Engineering

Experience

  • Izmir Institute of Technology

    Izmir, Turkey

    Assistant Professor

    –present

  • Renesas Electronics America

    Columbia, MD, USA

    Senior AI Engineer

    –

  • Transtek International Group

    Orlando, FL, USA

    Applied Data Scientist

    –

  • The University of Texas at Austin

    Austin, TX, USA

    Graduate Research Assistant

    –

  • Bogazici University

    Istanbul, Turkey

    Graduate Research and Teaching Assistant

    –

Grants, Funding, and Proposals

  • Federal Railroad Administration (FRA), Phase I & II

    –

    The University of Texas at Austin

    $600K

    RoleProposal co-author; led technical methodology development

  • Proof of Concept Award

    The University of Texas at Austin, Discovery to Impact Program

    $20,000

    RoleProposal co-author; technical validation lead

  • Inspire Commercialization Award

    Texas Innovation Center

    $5,000

    RoleCo-PI

  • NSF SBIR/STTR (submitted)

    Structural Health Monitoring of Highway Bridges Using Connected Vehicles

    RoleLead technical author

Journal Publications

Published

* stands for equal contribution

  1. Machine Learning-Based Road Surface Defect Detection from Signal Features Using Data from an Instrumented Vehicle Platform

    B Uluutku*, K Kaynardag*, D Oshima, J Cotter, FN Catbas

    Infrastructures, 11(6):200

  2. Transfer learning in LSTM autoencoders for rail anomaly detection across diverse operational conditions

    C Yang, K Kaynardag, S Salamone

    Journal of Intelligent Material Systems and Structures, Journal of Intelligent Material Systems and Structures, 37(4):230-245

  3. Long short-term memory autoencoder for anomaly detection in rails using laser Doppler vibrometer measurements

    C Yang, K Kaynardag, S Salamone

    ASME Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems, 8 (3), 031003

  4. An impulsive noise filter for rail vibration measurements performed through a laser Doppler vibrometer placed on a moving platform

    K Kaynardag, C Yang, S Salamone

    Mechanical Systems and Signal Processing, 223 (15), 111918

  5. Missing rail fastener detection based on laser Doppler vibrometer measurements

    C Yang, K Kaynardag, S Salamone

    Journal of Nondestructive Evaluation, 42(3), 6

  6. Investigation of wave propagation and attenuation in periodic supported rails using wave finite element method

    C Yang, K Kaynardag, S Salamone

    Acta Mechanica, 1-17

  7. A rail defect detection system based on laser Doppler vibrometer measurements

    K Kaynardag, C Yang, S Salamone

    NDT & E International, 137, 102858

  8. Evaluation of fastening modeling approaches for dynamic assessment of rail based on finite element method

    C Yang, K Kaynardag, S Salamone

    Journal of Engineering Mechanics, 148 (9), 04022048

  9. The numerical simulations to examine the interaction of train-induced guided waves with transverse cracks

    K Kaynardag, C Yang, S Salamone

    Transportation Research Record, 2676 (12):166-179

  10. Identification of bending modes of vibration in rails by a laser Doppler vibrometer on a moving platform

    K Kaynardag, G Battaglia, A Ebrahimkhanlou, A Pirotta, S Salamone

    Experimental Techniques, 45 (1), 13-24

  11. Experimental investigation of the modal response of a rail span during and after wheel passage

    K Kaynardag, G Battaglia, C Yang, S Salamone

    Transportation Research Record, 2674 (12), 15-24

  12. Effect of identification on seismic performance assessment of a tall building

    K Kaynardag, S Soyoz

    Bulletin of Earthquake Engineering, 15 (8), 3227-3243

Conference Proceedings

  1. Detection of Missing Rail Fasteners Using Train-Induced Ultrasonic Guided Waves: A Numerical Study

    C Yang, K Kaynardag, S Salamone

    Society for Experimental Mechanics Annual Conference and Exposition (pp. 151-154). Cham: Springer Nature Switzerland

  2. Dynamic identification - model updating – seismic performance assessment of stone arch bridges

    S Soyoz, E Karcioglu, E Aytulun, K Kaynardag, S C Pevlan, A Karadeniz

    Proceedings of the 4th Conference on Smart Monitoring, Assessment, and Rehabilitation of Civil Structures

  3. System identification of Bogazici suspension bridge under hanger replacement

    S Soyoz, U Dikmen, N Apaydin, K Kaynardag, E Aytulun, S Senkardesler, N Catbas, H Lus, E Safak, M Erdik

    Procedia Engineering, 199, 1026-1031, Part of X International Conference on Structural Dynamics, EURODYN 2017

  4. Repair and retrofit of Ketchaoua Mosque in Algeria

    H Sesigur, G Erol, S Soyoz, K Kaynardag, S Gonen

    In Structural Analysis of Historical Constructions: Anamnesis, Diagnosis, Therapy, Controls, CRC Press, 1824-1831

  5. Seismic performance assessment of a tall building based on real-time monitoring

    K Kaynardag, S Soyoz

    SECED 2015 Conference: Earthquake Risk and Engineering towards a Resilient World

  6. Structural health monitoring of a tall building

    K Kaynardag, S Soyoz

    2nd European Conference on Earthquake Engineering and Seismology

Conference Presentations

  1. Missing rail fastener identification based on laser Doppler vibrometer measurements

    C Yang, K Kaynardag, S Salamone

    Society of Experimental Mechanics (SEM) Annual Conference, Orlando

  2. Detection of rail defects using guided ultrasonic waves and laser Doppler vibrometry

    K Kaynardag, C Yang, S Salamone

    Society for Experimental Mechanics Conference-XLI, Austin

  3. Rail defect detection by noncontact vibration measurements

    K Kaynardag, C Yang, S Salamone

    Engineering Mechanics Institute Conference, Johns Hopkins, Baltimore

  4. Applicability of laser Doppler vibrometer placed on a moving platform for rail vibration measurements

    K Kaynardag, G Battaglia, S Salamone

    Transportation Research Board Annual Meeting 2021, Washington DC

  5. Modal based detection of cracks in railway tracks and applicability of moving laser Doppler vibrometer

    K Kaynardag, A Ebrahimkhanlou, S Salamone

    Engineering Mechanics Institute Conference, MIT, Boston

Invited Talks

  • Development of a noncontact laser Doppler vibrometer based rail damage detection system

    Weekly Acoustic Seminar at Mechanical Engineering Department, The University of Texas at Austin, Austin

Patents

  1. Mobile Railway Track Defect Detection

    patent no: US20200271543A1

  2. Damage Detection Software for Rail Defect Identification using Moving Laser Measurements (submitted)

Awards and Honors

  1. Second Place

    Michael Sutton International Paper Competition, 2023 SEM Annual Conference

  2. Inspire Commercialization Award

    Texas Innovation Center; $5,000 (SBIR/STTR application format)

  3. Proof of Concept Award

    The Discovery to Impact Team at the University of Texas at Austin; $25,000

  4. Kolodzey Travel Grant

    Civil, Environmental and Architecture Engineering, The University of Texas at Austin

  5. Professional Development Award

    The University of Texas at Austin

  6. John E. Breen Endowed Presidential Fellowship

    Structural Engineering, The University of Texas at Austin

  7. Graduate and Industry Networking (GAIN) 2021 Department Award

    The University of Texas at Austin

  8. John A. Focht Endowed Presidential Fellowship

    Structural Engineering, The University of Texas at Austin

Peer Review Activities

  1. Mechanical Systems and Signal Processing

  2. Structural Health Monitoring

  3. Sensors

  4. Journal of Engineering Mechanics

International Workshops and Memberships

Workshops

  1. COST-Action: Quantifying the Value of Structural Health Monitoring the 2nd Workshop, Istanbul

  2. Workshop On Bridge Health Monitoring, Istanbul, Turkey

  3. 4th Summer School on Smart Materials and Structures, Trento, Italy

  4. Young Engineers and Seismologists Training Course, 2ECEES, Istanbul, Turkey

Memberships

  1. American Society of Civil Engineers (ASCE)

  2. American Concrete Institute (ACI)

  3. The International Society for Structural Health Monitoring of Intelligent Infrastructure (SHMII)

Certification and Additional Machine Learning Projects

Certifications

  1. Exploratory Data Analysis and Feature Engineering

    IBM Machine Learning Course, Coursera

  2. Regression

    IBM Machine Learning Course, Coursera

  3. Supervised Classification

    IBM Machine Learning Course, Coursera

  4. Unsupervised Classification

    IBM Machine Learning Course, Coursera

  5. Deep Learning and Reinforcement Learning

    IBM Machine Learning Course, Coursera

  6. Introduction to Python Programming

    University of Michigan Python Course, Coursera

  7. Data Structures

    University of Michigan Python Course, Coursera