About me:
Peacemaker between Architecture, Computational design, and Data Science (AI, Machine learning, Data mining, and data analytics) Half-coder half-designer currently residing in Wellington, NZ. To read more about recent projects, research interests, etc please click here.
Urban Narrative
‘Urban Narrative’ is a proof of concept initiative that aims to create a step change in community engagement for improved decision making for urban design. As such, it has the potential to up-scale participatory design methods by focussing on the needs and priorities of the community to make city living more enjoyable with greater economic […]
Smart UX to improve Wellington Urban Planning
This project’s focus is on the integration of Information and Communication Technology (ICT), Internet of Things (IoT) technology, Data Analytics in a secure fashion to encourage citizens to engage more in the urban decision making. We will explore the concept of ‘Smart City’ through the creation of an integrated prototype enhanced with VR and AR assets […]
Association Rule Mining to Assess User-Generated Content in Digital Heritage
Chapter in Future Trajectories of Computation in Design 2017. Association rule mining is one of the several approaches in game design for discovering correlations among user-generated content items. This paper aims to aid the digital heritage field by analysing user preferences in interactive environments designed for participatory cultural heritage making.
Supervised and unsupervised learning algorithms in the Smart City context
Supervised and unsupervised learning algorithms in the Smart City concept Research in progress. Further details will be uploaded soon.
Dijkstra’s algorithm in architecture
Dijkstra’s algorithm studies for route-finding in the architectural context Dijkstra’s algorithm is a famous algorithm for finding the shortest paths between nodes in a graph, which may represent, for example, road networks. It was conceived by computer scientist Edsger W. Dijkstra in 1956 and published three years later. The algorithm exists in many variants; Dijkstra’s original […]
Pedestrian traffic simulation
Traffic simulation for architectural purposes Crowd simulation help to study and predict the behaviour of people around different objects in the built environment. The ability to observe the flow will help designers to understand and also define the effectiveness of architectural elements and of course many other relevant factors.
Parametric muqarnas
Parametric muqarnas and assessing the possibility of its structural function Muqarnas is a form of architectural ornamented vaulting, derived from a complex set of simple divisions run over an arc, producing a sort of cellular structure, sometimes also called a stalactite or honeycomb vault. It was used for domes and especially half-domes in entrances, and iwans […]
Iterative design studies
Iterative design studies
Performative design
Performative design- a working prototype (City of London environmental analysis) Project brief: Translating publicly available GIS data into usable geometry for environmental analysis.
Studying the catenary curves
Innovative architectural problem solving applying algorithmic software In this research efficiency of using the algorithmic software in building a design project is evaluated by using algorithmic methods. The design problem is calculating the lengths of a series of hanging catenaries to create a free polyline/curve form. To find the optimum design, three approaches are used: […]
Complex geometry studies
Persian geometry is simple and complex at the same time, meaning in order to understand the complexity of a pattern you should start with extracting simple rules like dividing a circle or connecting the division points based on a specific pattern.
Data-mining and Big Data in architecture
An Artificial Intelligence approach to studying architectural research databases Case study: CUMINCAD.org database
Image processing in Grasshopper3d
Image processing using Grasshopper3d This Grasshopper3d definition calculates the number of objects in an image. It takes an image as input and calculates the number of items and generates an integer as output. The last process of calculation has been written in C# or Python.
Data visualisation as a problem-solving tool
Application of GIS Meerkat plugin in studying NSW heritage sites Data visualisation reveals unknown aspects of collected data. It can also help us to identify, define, and solve problems more effectively. Today, we have access to big GIS data, and by visualising and analysing this Big Data, new projects can be introduced. In a case […]
No.44 from Shiraz 