Personal Homepage of George S. Floros (PhD(c), MSc, MEng)

3D Modelling

3D is cool! More importantly, 3D is useful, especially when utilized with emerging technologies such as Internet of Things and Big Data, by providing an extra dimension for data storage. I have experience in generating 3D Models in Autodesk Revit and Trimble SketchUp, as well as visualizing them in 3D Viewers such as FME Data Inspector, Solibri Model Viewer, FZK Viewer.

Key tools: Autodesk Revit, Trimble SketchUp, FME, Solibri Model Viewer, FZK Viewer.

Spatial Databases

PostgreSQL incorporates the PostGIS Extension facilitating the generation of more efficient relational schemas by utilizing the spatial attributes of the datasets. I have worked on creating a generalized schema aiming to assist in property and facility management.

Key tools: PostgreSQL with PostGIS Extension, Microsoft SQL Server, FME, SQL.

Data Capture & Web-apps

Nowadays, the options to capture data are limitless. As a geospatial engineer, data collection and evaluation is a very important phase. The ideal is to collect data massively and automatically. Within this concept, utilizing web-technologies and databases, a location based quiz around UCL Campus is developed. It is a 3-tier system architecture (Client, Server, Database) which includes a mobile application, a web-based application and the server side code to process requests. Instead of asking questions about the history of UCL Campus, enquiries regarding air-quality, noise distribution, traffic movement, security could be made to assist in creating a more sustainable environment.

Key tools: HTML5, CSS, JavaScript, NodeJS, PostgreSQL, Microsoft SQL Server.

3D Gis & IFC

Standardization is important. It facilitates a smoother communication between different types of professionals, a more efficient sharing of datasets and provides clear guidelines to the interested parties on how to structure an entity. CityGML is a 3D GIS Standard, while Industry Foundation Classes (IFC) is the Standard of Building Information Modelling (BIM). Those 3D Standards are utilized for a variety of applications, and more often than not, they are implemented in similar fields. A data integration can benefit all parties, by generating a unified model that incorporates the scalability of GIS and the detailed information of BIM.

Key tools: CityGML, BIM, IFC, FME, Trimble SketchUp.

Gis & Sustainability

GIS is an important tool towards a more sustainable environment, having the unique ability of analyzing and visualizing spatial relationships between the objects of an environment. A particularly useful implementation of Gis is for site-location purposes based on specific criteria. Examples of my experience so far involve optimal site location for Renewable Energy Sources in islands and rooftop greenhouses in London, utilizing both ArcGIS and QGIS.

Key tools: ArcGIS 10.x, ArcGIS Pro, ArcGIS Online, QGIS.

Flooding Analysis

The extra value of the 3rd dimension is particularly useful in flooding analysis. Determining the height of the banks of a river is critical in order to take the necessary pre-cautions and ensure safetey for the surrounding built environment. Visualizing the impact of a flooding event can also povide results regarding the most affected areas.

Key tools: ArcGIS 10.X, ArcGIS Pro, ArcGIS Online, QGIS.

GIS Software

Two of the most dominant GI packages are ArcGIS Suite and QGIS. My qualificationS so far have given me the opportunity to work extensively with both software and also perform a comparative study in their basic functionality, starting from raster processing and resampling up to different methods of interpolation, georeferencing, digitization, map production and impact assessment.

Key tools: ArcGIS 10.x, QGIS.

Scripting in Python

Incorporating Python in GIS faciliates an efficient functionality of GIS time-wise, starting from the creation of scripts to produce maps automatically up to performing spatial operations such as Points in Polygon or advanced spatial analysis.

Key tools: Python, ArcPy.

Shadow Estimation

Shadow estimation has been strongly supported by the implementation of 3D in GIS. In most cases, shadow estimation can be an important criterion regarding site location or spatial analysis in general, therefore it is combine with other GIS tools to be more effective.

key tools: ArcGIS 10.X, ArcGIS Pro, ArcGIS Online, QGIS.

Terrestrial Data Capture

Surveying methods range in terms of robustness, accuracy and cost. With the implementation of 3D in spatial analysis in combination with stricter measurements in the building sector, data capture utilizing LiDAR (point-clouds) and close-range photogrammetry are particularly useful for model visualization and analysis.

Key tools: Cyclone (Leica), Visual SFM.

Data Analysis

Big Data need to be stored and processed accordingly. I have been particularly interested in analysing phenomena such as crime in London and variations in house prices utilizing datasets from London Government.

Key tools: R Language.

Remote Sensing

Remote Sensing is well integrated with GIS and can provide information regarding the status on the terrain when onsite visitation is not possible or efficient. It is also a great tool for monitoring a situation, such as the status of farmlands and by utilizing different band combinations assist in maximizing productivity.

Key tools: QGIS, ArcGIS 10.x, eCognition.