Quick Info
Work Location
Via Zamboni 33
40126 Bologna
Italy
Nationality
Iran (Islamic Republic of)
Email(s)
Profile URL
Persistent Digital Identifiers (UIDs)
Highest Degree
MSc (PhD student)
Job Type
Research
Subject Area
Marine and Coastal Engineering
Activities
Research and Professional ExperienceResearch and Professional Experience Coastal Scientist/Modeler | Khak Sazeh Barman Consulting:
Gathered and analysed satellite images, topographical/bathymetric data, and marine data.
Contributed as a member of a research team tasked with numerical modeling of wave, hydrodynamics, and sediment transport.
Employed remote sensing, GIS, and Python to evaluate relationship between human interventions and mangrove forest changes.
Research Assistant | Supervisor: Prof. Ali Golshani:
Performed numerical modeling of tropical cyclone, storm surge and coastal inundation
Organized a data analysis team to assess flood risk by coupling numerical model results and a machine learning approach
Evaluated mangrove forest efficiency for flood risk reduction.
Published papers and presented research findings at conferences.
Skills
Language Skill SkillEnglish: Fluent Turkish: Mother Tongue Persian: Native
Programming:C## (Advanced)
Engineering Software:MIKE Zero (Expert) ArcGIS (Advanced) AutoCAD (Advanced)
Working language(s)
English
Citation(s)
Google Scholar: https://scholar.google.com/citations?user=pm5k3dEAAAAJ&hl=en
Comment(s)
Research and Professional ExperienceResearch and Professional Experience Coastal Scientist/Modeler | Khak Sazeh Barman Consulting:
Gathered and analysed satellite images, topographical/bathymetric data, and marine data.
Contributed as a member of a research team tasked with numerical modeling of wave, hydrodynamics, and sediment transport.
Employed remote sensing, GIS, and Python to evaluate relationship between human interventions and mangrove forest changes.
Research Assistant | Supervisor: Prof. Ali Golshani:
Performed numerical modeling of tropical cyclone, storm surge and coastal inundation
Organized a data analysis team to assess flood risk by coupling numerical model results and a machine learning approach
Evaluated mangrove forest efficiency for flood risk reduction.
Published papers and presented research findings at conferences.
Last Updated: 2024-12-02