A Researcher-oriented Automated Data Ingestion Tool for rapid data Processing, Visualization and Preservation. - Thomas J. Hacker; Shirley Dyke; Ali Irmak Ozdagli; Gemez Marshall; Christopher Thompson; Brian Rohler; Chul Min Yeum (Adv. Eng. Softw., 2017)

Development and Verification of Distributed Real-Time Hybrid Simulation Methods. - Xin Li; Ali Irmak Ozdagli; Shirley J. Dyke; Xilin Lu; Richard E. Christenson (J. Comput. Civ. Eng., 2017)

Machine learning based novelty detection using modal analysis. - Ali Irmak Ozdagli; Xenofon D. Koutsoukos (Comput. Aided Civ. Infrastructure Eng., 2019)

@PAD: adversarial training of power systems against denial-of-service attacks. - Ali Irmak Ozdagli; Carlos A. Barreto; Xenofon D. Koutsoukos (HotSoS, 2020)

Inductive Conformal Out-of-distribution Detection based on Adversarial Autoencoders. - Feiyang Cai; Ali Irmak Ozdagli; Nicholas Potteiger; Xenofon D. Koutsoukos (COINS, 2021)

Detection of Dataset Shifts in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression. - Feiyang Cai; Ali Irmak Ozdagli; Xenofon D. Koutsoukos (ICPS, 2021)

Variational Autoencoder for Classification and Regression for Out-of-Distribution Detection in Learning-Enabled Cyber-Physical Systems. - Feiyang Cai; Ali Irmak Ozdagli; Xenofon D. Koutsoukos (Appl. Artif. Intell., 2022)

Surrogate Modeling using Physics-guided Learning. - Ali Irmak Ozdagli; Péter Völgyesi; Xenofon D. Koutsoukos (CPS-IoT Week Workshops, 2023)