Reda Snaiki 
- (2025): Time-domain buffeting response prediction of a long-span bridge: A hybrid machine learning framework. In: Structures, v. 73 (März 2025).
- (2025): Buffeting-Induced Fatigue Damage Assessment of a Long-Span Bridge under a Changing Climate Scenario. In: Journal of Bridge Engineering (ASCE), v. 30, n. 3 (März 2025).
- (2024): Multiresolution dynamic mode decomposition approach for wind pressure analysis and reconstruction around buildings. In: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 22 (November 2024).
- (2024): A new analytical wind turbine wake model considering the effects of coriolis force and yawed conditions. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 250 (Juli 2024).
- (2023): A data-driven physics-informed stochastic framework for hurricane-induced risk estimation of transmission tower-line systems under a changing climate. In: Engineering Structures, v. 280 (April 2023).
- (2023): Climate change effects on loss assessment and mitigation of residential buildings due to hurricane wind. In: Journal of Building Engineering, v. 69 (Juni 2023).
- (2022): Applications of Machine Learning to Wind Engineering. In: Frontiers in Built Environment, v. 8 (Februar 2022).
- (2021): Hurricane risk assessment of offshore wind turbines under changing climate. Vorgetragen bei: IABSE Congress: Structural Engineering for Future Societal Needs, Ghent, Belgium, 22-24 September 2021.
- (2021): Active Simulation of Transient Wind Field in a Multiple-Fan Wind Tunnel via Deep Reinforcement Learning. In: Journal of Engineering Mechanics (ASCE), v. 147, n. 9 (September 2021).
- (2021): A knowledge‐enhanced deep reinforcement learning‐based shape optimizer for aerodynamic mitigation of wind‐sensitive structures. In: Computer-Aided Civil and Infrastructure Engineering, v. 36, n. 6 (27 Mai 2021).
- (2020): Hurricane Hazard Assessment Along the United States Northeastern Coast: Surface Wind and Rain Fields Under Changing Climate. In: Frontiers in Built Environment, v. 6 (Januar 2020).
- (2020): Geospatial Environments for Hurricane Risk Assessment: Applications to Situational Awareness and Resilience Planning in New Jersey. In: Frontiers in Built Environment, v. 6 (Januar 2020).
- (2020): Revisiting hurricane track model for wind risk assessment. In: Structural Safety, v. 87 (November 2020).
- (2020): An analytical model for rapid estimation of hurricane supergradient winds. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 201 (Juni 2020).
- (2019): Modeling rain-induced effects on boundary-layer wind field of tropical cyclones. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 194 (November 2019).
- (2019): Knowledge-enhanced deep learning for simulation of tropical cyclone boundary-layer winds. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 194 (November 2019).
- (2018): A semi-empirical model for mean wind velocity profile of landfalling hurricane boundary layers. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 180 (September 2018).
- (2018): An analytical framework for rapid estimate of rain rate during tropical cyclones. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 174 (März 2018).
- (2017): A linear height-resolving wind field model for tropical cyclone boundary layer. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 171 (Dezember 2017).
- (2017): Modeling tropical cyclone boundary layer: Height-resolving pressure and wind fields. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 170 (November 2017).
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