Research and expertise
Mohamed is a Doctoral Researcher at the School of Architecture, Building and Civil Engineering at º¬Ðß²ÝÊÓƵ, specialising in Geographic Information Systems (GIS) and Urban Planning. With over seven years of experience as a Data Analyst and GIS expert, he is proficient in Python programming for geospatial algorithms, geospatial data engineering, analysis and visualisation, as well as machine learning. His skills also include data collection and integration, database management (SQL), remote sensing and map algebra, and handling big geodata for both academic research and practical applications.
Current research activity
- Researching pedestrian movements to support the development of pedestrian-friendly cities
- Analysing spatial patterns of movement and their interaction with urban environments
- Enhancing walkability and accessibility in urban areas
- Using GIS, geospatial data, and machine learning to identify factors influencing pedestrian behaviour
- Providing insights for city planning and sustainable, inclusive public space design
Recently completed research projects
- Developing a Smart Automated Web GIS Map for The Public Services in Qena City, 2022
- South Valley University 4 Dimensions Simulation model of the campus using GIS technology, 2020
- South Valley University Campus Mapping project aimed at creating a detailed digital map and a Web-based GIS of the campus to improve navigation for students, faculty, and visitors, 2019
- Green index and microclimate of south valley university using map algebra applications in Remote Sensing, 2018
- Evaluating landfill sites for solid waste in Qina City using Geographic Information Systems, Graduation project, 2017
- Urban Growth monitoring in Qina city, remote sensing project, 2016
Recent publications
Mohamed Shamroukh et al. (2023). Integrating GIS, GeoAI, and Geospatial Programming to Support Methods of Spatial Data Analysis. Journal of Qena Faculty of Arts, 60, 135–166
Mohamed Shamroukh et al. (2023). Towards Developing a Web-Based GIS Using Open-Source software: An applied study of public services in Qina City. Journal of Qena Faculty of Arts, 59, 505–534
Mohamed Shamroukh Mohamed. (2022). Building A Model of Planning Criteria for Public Services in Qena City: Using Smart Spatial Analysis. The Arab Journal of Geographical Studies, 5(12), 225–270
Profile
Mohamed is a dedicated researcher with a passion for Geographic Information Systems (GIS) and urban planning, focusing on the intersection of data analysis and spatial technologies. With over seven years of experience in geospatial data engineering, analysis, and machine learning, he strives to apply his expertise in creating solutions that enhance urban environments. His work bridges academic research and practical applications, aiming to make cities more pedestrian-friendly, sustainable, and inclusive. Mohamed is committed to leveraging innovative geospatial tools and methodologies to support smarter urban planning and design.
Awards
- The Open-Source Geospatial Foundation (OSGeo) Pitch your research - GeoforAll student competition December 2021