About Ekin Ozer:
Here is a super fast summary.
I was born and raised in the gigantic metropolis, Istanbul, Turkey.
I recently moved to an amazing city and country, Dublin, Ireland, joined UCD School of Civil Engineering as an assistant professor.
I got my BSc (2009) and MSc (2012) from the Civil Engineering Department, Bogazici University, Istanbul, Turkey and worked as a research-teaching assistant during my Master's.
I continued my graduate studies at Columbia University, Civil Engineering & Engineering Mechanics, worked as a graduate research assistant there and received my PhD from this marvellous school in New York, NY.
Upon graduation from PhD, I worked for Novum Structures, a structural engineering company specialized in steel/glass facades, membranes, canopies, skylights and more. We developed numerous projects, each with unique features bringing a tremendous engineering experience to me. I miss that lovely workplace and also Sarasota, Florida!
After Novum, I moved to Middle East Technical University, Turkey's renown technological hub, for a 2-year teaching-intensive position and some interesting entrepreneurial experience, and then I joined the University of Strathclyde (Glasgow, UK) for the Horizon2020 TURNkey project. Here we developed earthquake early warning and rapid response systems through a variety of processes from loss assessment to decision-making.
My research interests are structural health monitoring, structural dynamics, structural reliability, system identification, finite element model updating, performance-based engineering, engineering vibrations, earthquake engineering, digital signal processing, structural control and more.
Please feel free to reach me via email: ekin.ozer@ucd.ie.
Links to my demonstrations and applications:
University of Strathclyde Horizon 2020 TURNkey Page
Columbia University Data Science Day Page
Citizen Sensors for SHM Apple Store Link
SHM In Action Live Demonstration in IWSHM 2015, Stanford University
Links to my published journal papers:
Ozer, E., Feng, M. Q., & Feng, D. (2015). Citizen Sensors for SHM: Towards a Crowdsourcing Platform. Sensors, 15(6), 14591-14614. doi:10.3390/s150614591
Feng, M., Fukuda, Y., Mizuta, M., & Ozer, E. (2015). Citizen Sensors for SHM: Use of Accelerometer Data from Smartphones. Sensors, 15(2), 2980-2998. doi:10.3390/s150202980
Ozer, E., Feng, M. Q., & Soyoz, S. (2014). SHM-integrated bridge reliability estimation using multivariate stochastic processes. Earthquake Engineering & Structural Dynamics. doi: 10.1002/eqe.2527
Ozer, E., & Soyoz, S. (2013). Vibration-based damage detection and seismic performance assessment of bridges. Earthquake Spectra. doi: http://dx.doi.org/10.1193/080612EQS255M
Feng, D., Feng M. Q., Ozer, E., & Fukuda, Y. (2015). A Vision-Based Sensor for Noncontact Structural Displacement Measurement. Sensors, 15(7), 16557-16575. doi:10.3390/s150716557
Ozer, E., & Feng M. Q. (2016). Synthesizing Spatiotemporally Sparse Smartphone Sensor Data for Bridge Modal Identification. Smart Materials and Structures, 25(8), 085007. doi: http://dx.doi.org/10.1088/0964-1726/25/8/085007
Ozer, E., & Feng, M. Q. (2017). Direction-Sensitive Smart Monitoring of Structures Using Heterogeneous Smartphone Sensor Data and Coordinate System Transformation. Smart Materials and Structures, 26(4), 045026. doi: https://doi.org/10.1088/1361-665X/aa6298
Ozer, E., & Feng, M. Q. (2017). Biomechanically Influenced Mobile and Participatory Pedestrian Data for Bridge Monitoring. International Journal of Distributed Sensor Networks, 13(4) 1550147717705240.doi: https://doi.org/10.1177/1550147717705240
Ozer, E., Feng, D., & Feng, M. Q. (2017). Hybrid Motion Sensing and Experimental Modal Analysis Using Collocated Smartphone Camera and Accelerometers. Measurement Science and Technology, 28(10), 105903. doi: https://doi.org/10.1088/1361-6501/aa82ac
Ozer, E., & Feng, M. Q. (2019). Structural reliability estimation with participatory sensing and mobile cyber-physical structural health monitoring systems. Applied Sciences, 9(14), 2840. doi: https://doi.org/10.3390/app9142840
Ozer, E., Purasinghe, R., & Feng, M. Q. (2020). Multi-output modal identification of landmark suspension bridges with distributed smartphone data: Golden Gate Bridge. Structural Control and Health Monitoring, 27(10), e2576. doi: https://doi.org/10.1002/stc.2576
Tran, T. T., & Ozer, E. (2020). Automated and Model-Free Bridge Damage Indicators with Simultaneous Multiparameter Modal Anomaly Detection. Sensors, 20(17), 4752. doi: https://doi.org/10.3390/s20174752
Tran, T. T., & Ozer, E. (2021). Synergistic bridge modal analysis using frequency domain decomposition, observer Kalman filter identification, stochastic subspace identification, system realization using information matrix, and autoregressive exogenous model. Mechanical Systems and Signal Processing, 160, 107818.. doi: https://doi.org/10.1016/j.ymssp.2021.107818
Tubaldi, E., Ozer, E., Douglas, J., & Gehl, P. (2022). Examining the contribution of near real-time data for rapid seismic loss assessment of structures. Structural Health Monitoring, 21(1), 118-137. doi: https://doi.org/10.1177/1475921721996218
Gehl, P., Fayjaloun, R., Sun, L., Tubaldi, E., Negulescu, C., Ozer, E., & D’ayala, D. (2022). Rapid earthquake loss updating of spatially distributed systems via sampling-based bayesian inference. Bulletin of Earthquake Engineering, 1-29. doi: https://doi.org/10.1007/s10518-022-01349-4
Ozer, E., Özcebe, A. G., Negulescu, C., Kharazian, A., Borzi, B., Bozzoni, F., ... & Tubaldi, E. (2022). Vibration-based and near real-time seismic damage assessment adaptive to building knowledge level. Buildings, 12(4), 416. doi: https://doi.org/10.3390/buildings12040416
Özcebe, A. G., Tiganescu, A., Ozer, E., Negulescu, C., Galiana-Merino, J. J., Tubaldi, E., ... & Balan, S. F. (2022). Raspberry Shake-based rapid structural identification of existing buildings subject to earthquake ground motion: the case study of Bucharest. Sensors, 22(13), 4787. doi: https://doi.org/10.3390/s22134787
Tubaldi, E., Turchetti, F., Ozer, E., Fayaz, J., Gehl, P., & Galasso, C. (2022). A Bayesian network-based probabilistic framework for updating aftershock risk of bridges. Earthquake Engineering & Structural Dynamics, 51(10), 2496-2519. doi: https://doi.org/10.1002/eqe.3698
Malekloo, A., Ozer, E., AlHamaydeh, M., & Girolami, M. (2022). Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights. Structural Health Monitoring, 21(4), 1906-1955. doi: https://doi.org/10.1177/14759217211036880
Ozer, E., Malekloo, A., Ramadan, W., Tran, T. T., & Di, X. (2022). Systemic reliability of bridge networks with mobile sensing-based model updating for postevent transportation decisions. Computer‐Aided Civil and Infrastructure Engineering. doi: https://doi.org/10.1111/mice.12892
Malekloo, A., Ozer, E., & Ramadan, W. (2022). Bridge Network Seismic Risk Assessment Using ShakeMap/HAZUS with Dynamic Traffic Modeling. Infrastructures, 7(10), 131. doi: https://doi.org/10.3390/infrastructures7100131
Links to my former and current institutes:
UCD School of Civil Engineering Web Page
University of Strathclyde, Civil & Environmental Engineering Web Page
Novum Structures Web Page
Columbia University, Civil Engineering & Engineering Mechanics Department Web Page
Bogazici University, Civil Engineering Department Web Page
Middle East Technical University, Computer Engineering Department Web Page
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send email to ekin.ozer@ucd.ie
send email to eo2327@columbia.edu
About Ekinstitute.com:
Hello everyone, I am glad you are interested in my web platform, Ekinstitute.com: Structural System Identification and Acceleration Record Manager.
Its roots date back to 2011, where I completed a distance learning program offered by the Computer Engineering Department of Middle East Technical University, Ankara, Turkey.
I guess I don't need to mention how I came up with the name "ekinstitute", my apologies for playing with the words with an egocentric attitude, but I had to do it!
Anyway, let me briefly explain what Ekinstitute.com is...
Ekinstitute.com is a web-based platform that users can submit vibration time history data, get the modal identification results, store the time history and analysis results.
The submitted time history data is transferred into the frequency domain by applying Discrete Fourier Transform, and the peak frequency is detected based on the maximum spectral value.
Such a platform can be useful for engineering branches that study vibrations such as mechanical, civil and earthquake engineering.
Dynamic characteristics of a structure can be identified by analyzing its vibration signals.
The peak frequency of a vibration signal is a simple, quick and reasonable indicator of structural parameters.
So, in summary, Ekinstitute.com's goal is to provide researchers, engineers, students, and hobbyists a web-based platform where they can easily store their vibration data and get extremely quick and useful results in the frequency domain.
There is a huge literature discussing what you can do with vibration measurements, what "change in dynamic characteristics" means, how modal frequencies reflect structural parameters, and how all this information is used in engineering.
Down below, I provided the links to some of my published work, and a number of cited references in these papers would provide you with a literature review.
Finally, there is one more interesting study is coming soon, which utilizes smartphone accelerometers for structural vibration measurements.
Since these fancy devices are spread all around the world, why don't we use their "smartness" for engineering purposes? Impressive, isn't it?
Just check Apple Store in the next few days. A smartphone application, which I specifically designed for this purpose, will be distributed soon (2017 Update: Distributed in 2015!).
Maybe not very creative, but I decided to call it "Ekinstitute's Accelerometer". It is an application integrated with Ekinstitute's web platform.
You will be surprised when you see how easy it is to measure structural vibrations and act as a sophisticated SHM engineer without any prior knowledge. Wait for it, it's on its way (2017 Update: Arrived!)!
back to project home page
send email to ekin.ozer@ucd.ie
send email to eo2327@columbia.edu