Nur Sila Gulgec

Thornton Tomasetti (United States) — United States

Engineering · Physical Sciences

7h-index347citations18works2.02yr avg
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Research Topics

Structural Health Monitoring Techniques(11), Infrastructure Maintenance and Monitoring(7), Model Reduction and Neural Networks(3), Numerical methods for differential equations(3), Non-Destructive Testing Techniques(3)

Publications18 total

Artificial Intelligence for the Creation of Future Weather Files in Building Physics Simulations
Lecture notes in civil engineering·2024· 1 cited
Field Data and Observations of Damaged Buildings 10 Weeks after the February 2023 Earthquake Sequence in Türkiye
Journal of Performance of Constructed Facilities·2024· 3 cited
Multi-LSTM-Based Framework for Ambient Intelligence
River Publishers eBooks·2021
Finite Difference Neural Networks: Fast Prediction of Partial Differential Equations
2020· 9 cited
Uncertainty quantification in digital image correlation for experimental evaluation of deep learning based damage diagnostic
Structure and Infrastructure Engineering·2020· 4 cited
Finite Difference Neural Networks: Fast Prediction of Partial Differential Equations
arXiv (Cornell University)·2020· 1 citedOpen Access
Structural sensing with deep learning: Strain estimation from acceleration data for fatigue assessment
Computer-Aided Civil and Infrastructure Engineering·2020· 89 cited
FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs using Hessian-Free Trust-Region Methods
arXiv (Cornell University)·2019· 5 citedOpen Access
Parameter Estimation of Autoregressive-Exogenous and Autoregressive Models Subject to Missing Data Using Expectation Maximization
Frontiers in Built Environment·2019· 10 citedOpen Access
Experimental Study on Digital Image Correlation for Deep Learning-Based Damage Diagnostic
River Publishers eBooks·2019· 7 cited
Convolutional Neural Network Approach for Robust Structural Damage Detection and Localization
Journal of Computing in Civil Engineering·2019· 101 cited
Innovative Sensing by Using Deep Learning Framework
River Publishers eBooks·2018· 4 cited
Structural Damage Detection Using Convolutional Neural Networks
River Publishers eBooks·2017· 58 cited
Current Challenges with BIGDATA Analytics in Structural Health Monitoring
River Publishers eBooks·2017· 28 cited
Compressive Sensing Strategies for Multiple Damage Detection and Localization
River Publishers eBooks·2016· 6 cited
A Comparative Study of Compressive Sensing Approaches for a Structural Damage Diagnosis
Geotechnical and Structural Engineering Congress 2016·2016· 6 cited
Integrated Information Repository for Risk Assessment of Embankment Dams: Requirements Identification for Evaluating the Risk of Internal Erosion
Journal of Computing in Civil Engineering·2015· 3 cited
Visualization requirements of engineers for risk assessment of embankment dams
Visualization in Engineering·2015· 12 citedOpen Access

Frequent Co-authors

Shamim N. Pakzad(14), Martin Takáč(10), Zheng Shi(3), Semiha Ergan(2), Burcu Akinci(2), Albert S. Berahas(2), S. Golnaz Shahidi(2), Golnaz Shahidi(1), Thomas J. Matarazzo(1), Varun Kasireddy(1), Matthew Horner(1), Neil Deshmukh(1), Francisco A. Galvis(1), C. Kerem Gulec(1), Onur Ihtiyar(1), John Abruzzo(1), David Caballero-Russi(1), Alberto Cuevas(1), Christopher Kelly(1), Jacqueline Lu(1)