- Coastal/ocean engineering
- Numerical modelling
- Sediment transport
- Artificial intelligence
- Flood risk managements
- Integrated soft-computing models
- Hydropower engineering
- Climate change
- Water waves for the nearshore dynamics
- Sediment transport
- Artificial Intelligence
- Programming with MATLAB and Python
- Application of Copernicus data within the marine environment
- Design of coastal/hydraulic structures
Ali is collaborating with the following prestigious journals as Reviewer:
Coastal Engineering (Elsevier); Ocean Engineering (Elsevier); Applied Ocean Research (Elsevier); Journal of Waterway, Port, Coastal, and Ocean Engineering (ASCE); Ocean Systems Engineering; Journal of applied energy (Elsevier); Journal of Marine Science; Examines in Marine Biology and Oceanography; International Journal of Sensors, Wireless Communications, and Control; and American Journal of Civil Engineering (AJCE)
- Pourzangbar, A., Brocchini, M. (2022). A new process-based, wave-resolving, 2DH circulation model for the evolution of natural sand bars: the role of nearbed dynamics and suspended sediment transport. Coastal Engineering, 177, 104192. https://doi.org/10.1016/j.coastaleng.2022.104192.
- Pourzangbar, A., Vaezi, M. (2022). Effects of pendulum tuned mass dampers on the dynamic response of jacket platforms. Ocean Engineering, 249. https://doi.org/10.1016/j.oceaneng.2022.110895 .
- Vaezi, M., Pourzangbar, A. (2021). Optimal design of brace-viscous damper and pendulum tuned mass damper using Particle Swarm Optimization. Applied Ocean Research, 112. https://doi.org/10.1016/j.apor.2021.102706.
- Vaezi, M., Pourzangbar, A., Fadavi, M., Mousavi, S. M., Sabbahfar, P., & Brocchini, M. (2021). Effects of stiffness and configuration of brace-viscous damper systems on the response mitigation of offshore jacket platforms. Applied Ocean Research, 107. https://doi.org/10.1016/j.apor.2020.102482.
- Pourzangbar, A., Vaezi, M., Mousavi, S.M., Saber, A. (2020). Effects of Brace-viscous Damper System on the Dynamic Response of Steel Frames, International Journal of Engineering (IJE), IJE TRANSACTIONS B: Applications, 33 (5), 720-731. https://dx.doi.org/10.5829/ije.2020.33.05b.02.
- Pourzangbar, A., Brocchini, M., Saber, A., Mahjoobi, J., Mirzaaghasi, M., Barzegar, M. (2017), Prediction of scour depth at breakwaters due to non-breaking waves using machine learning approaches, Journal of Applied Ocean Research, 68, 120-128. https://doi.org/10.1016/j.apor.2017.01.012.
- Pourzangbar, A., Losada, M.A., Saber, A., Rasoul Ahari, L., Larroudé, F., Vaezi, M., and Brocchini, M. (2017), Prediction of non-breaking wave-induced scour depth at the trunk section of breakwaters using Genetic Programming and Artificial Neural Networks, Coastal Engineering, 121, 107-118. https://doi.org/10.1016/j.coastaleng.2016.12.008.
- Pourzangbar, A., Saber, A., Yeganeh-Bakhtiary, A., Rasoul Ahari, L. (2016). Predicting Scour Depth at Seawalls using GP and ANNs, Journal of Hydroinformatics, 19(2). https://doi.org/10.2166/hydro.2017.125.
- Yeganeh-Bakhtiary, A., Pourzangbar, A., Hajivalie, F. (2015), Genetic Programming to predict scour depth at coastal structures, Journal of Civil and Environmental Engineering, 45(78), 115-122. https://ceej.tabrizu.ac.ir/article_3682.html?lang=en.
After completing the BSc and MSc in Civil Engineering at Urmia University and IUST (Iran University of Science and Technology), in 2020 Ali obtained his PhD under the supervision of Prof. Maurizio Brocchini in Civil, Environmental, and Building Engineering and Architecture with international certification “Doctor Europaeus” from the Polytechnic University of Marche (UNIVPM), Italy.
During his PhD, he participated in the ERASMUS+ Traineeship Programme at the National Institute for Research in Digital Science and Technology, Bordeaux, France (INRIA, CARDAMOM team led by Prof. Mario Ricchiuto).
As a PhD student, he worked on the influence of the bottom boundary layer and suspended sediment transport for the computation of the evolution of natural sand bars.
In 2021, as a Postdoctoral researcher at UNIVPM, he worked on the improvement of the performance of numerical solvers in the analysis of the evolution of marine sandbars, and the development of soft-sensors in wastewater plants using machine learning algorithms.
In 2022, he joined Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA) as a Postdoctoral researcher worked on science-based regional and local climate change adaptation plans in Adriatic coastal areas.