Curriculum Vitae

• June 2025 | Present, Marie Skłodowska-Curie PhD Fellow at Technical University of Munich (TUM)
• Febuary 2024 | Present, MPhil Stundent, Hong Kong University of Science and Technology (HKUST), HK
• September 2023 - Febuary  2024 | Research Assistant, Hong Kong University of Science and Technology (HKUST), HK
• 2021- July 2023 | Remote Research Assistant, Nebraska-Lincoln University, USA
• 2017-2020 | M.Sc. in Earthquke Engineeirng, International Institute of Earthquake Engineering and Seismology  (IIEES), Iran
• 2013-2017 | B.Sc. in Civil Engineering Science, Ilam University, Iran

Research

• Data inference and digital twinning for engineering systems
• Statistical machine learning for predictive modeling
• Uncertainty quantification and finite element analysis
• Structural health monitoring (SHM)–integrated decision making and risk assessment
• Applications in optimal wind farm maintenance

Teaching

• Fall 2024 CIVIL 2110: Teaching assistant for the lecture "Static", HKUST
• Spring 2024 PDEV6800G (T1): Introduction to Teaching and Learning in Higher Education, HKUST
• Fall 2019: Probabilistic Seismic Hazard Analysis (Graduate Master Course),  IIEES
• Fall 2019: Structural Dynamics and MATLAB Programming (Graduate Master Course),  IIEES
• Fall 2019: Matrix Structural Analysis (Graduate Master Course),  IIEES 

Publications

• Roohi, M., Deniz, D. and Cheraghzade, M., 2025. Hospital Network Resilience in Hatay Following the 2023 Cascading Earthquakes in Türkiye: Year-Long Investigation. Journal of Structural Engineering, 151(5), p.05025001.  https://doi.org/10.1061/JSENDH.STENG-13964 (Editor's Choice Award)
• Cheraghzade, M. and Roohi, M., 2023, June. Incorporating Uncertainty in Mechanics-Based Synthetic Data Generation for Deep Learning–Based Structural Monitoring. In Society for Experimental Mechanics Annual Conference and Exposition (pp. 57-65). Cham: Springer Nature Switzerland.  10.1007/978-3-031-37003-8_9
• ROOHI, M. and Cheraghzade, M., 2023. Seismic Resilience Assessment of Instrumented Buildings: A Performance-based Monitoring Approach. STRUCTURAL HEALTH MONITORING 2023. 10.12783/shm2023/37035
• Cheraghzade, M. and Roohi, M., 2022. Deep learning for seismic structural monitoring by accounting for mechanics-based model uncertainty. Journal of Building Engineering, 57, p.104837.  https://doi.org/10.1016/j.jobe.2022.104837

• Cheraghzade, M., Ghafory-Ashtiany, M. and Bahar, O., 2020. TCMS: A Software for Vibration-Based Condition Monitoring of Post-Tensioned External Tendons. Journal of Seismology and Earthquake Engineering, 22(2), pp.37-57. 10.48303/jsee.2020.244831