Syllabus


Faculty


Projects from this course

Urban Wind Flow Modeling with PINNs

Overview PaperLink WIP – This study specifically explores Physics-Informed Neural Networks (PINNs) and Computational Fluid Dynamics (CFD) to analyze pedestrian wind comfort. It aims to integrate these neural network models into a web application using Three.js and other tools. By utilizing data from OpenWeatherMap, and OpenStreetMap, the project aims to support real-time simulations and visualizations … Read more

Climate Sensitive Facade Intervention for Urban Heat Island Mitigation

Research Questions: Can climate sensitive facade interventions reduce the intensity of the Urban Heat Island effect within urban blocks in arid climates?“ Research Goal: The goal is to propose simplified, climate-sensitive facade interventions in highly urbanized cities that reduce energy loads by mitigating Urban Heat Island (UHI) effects, while complying with climate-resilient regulations. These interventions … Read more

Polykatoikia advisor

abstract This thesis presents an experimental approach that enables architects to automatically generate and rank multiple building layouts based on specific metrics, focusing on the Polykatoikia—the prevalent multi-story residential building type in Greece. By applying graph theory, architectural spaces are conceptualized as nodes, and their relationships—such as adjacency—are represented as edges. The graph offers a … Read more

3Dialectics

A System for 3D Visualization of Linguistic Structures so, what is a room? Beyond being a mere term, a room is a spatial entity with defined dimensions, enclosed by walls, and interconnected with its surrounding spaces. Understanding a room in this way requires more than just recognizing the word; it involves comprehending its topological and … Read more

From image to graph to bim

A road map using Ai & computational design   # 01 the road map To convert a 2D raster plan into a BIM model, we first need to recognize the image contents and convert them into vectors, attaching relevant data. So , Our process focuses on three stages: image-to-vector, vector-to-graph , and finally graph-to-BIM During our … Read more

FloodTech: Mitigating Urban Floods

Unpacking the flood crisis By exploring the whys why:floods? now? Asia? India? Urban India? Mumbai? Floods: From 1920 to 2020, out of a total of 15,406 natural disasters, hydrological disasters have been the highest accounting for 42%, amongst which floods have the highest percentage of 34.8%.Now: In the last two decades the rate of increase … Read more

SafeNet: Network-Driven Machine Learning for Urban Safety

Abstract This study examines the pressing problem of violence against women in Mexico City, focusing specifically on strategies to prevent the escalation of violence that can lead to femicides. The persistence of gender-based violence in the city is aggravated by socioeconomic disparities, inadequate urban planning, and a deficiency of safe public spaces. The notable increase … Read more

Design as Grammar – Utilizing Graph ML for Modular determination

In a world driven by digital transformation, the realm of architecture and design faces new challenges in achieving flexibility, scalability, and efficiency. One of the most pressing issues is modular determination—how do we ensure that modular structures fit together seamlessly, across various design patterns? Design as Grammar addresses this by leveraging Graph Machine Learning (Graph … Read more

BIMConverse – GraphRAG for IFC Natural Language Queries

Introduction BIM and Cloud Adoption The construction industry is still experiencing a digital revolution led by the widespread adoption of Building Information Modeling (BIM) and cloud computing technologies. BIM has established itself as the central tool for the digital planning, construction and management of buildings, while cloud computing is transforming collaboration and data access. Studies … Read more

Building Knowledge Graph

Table of contents Abstract Hypothesis Objective Overall process We start with a conceptual solid component, which is essentially a 3D representation of walls, slabs, doors, etc. We then classify the different components within the building. This helps us understand the boundary of spaces and the connection between them. Next, we extract the space massing from … Read more

Democratizing Design

Abstract As we advance into the 21st century, addressing the global housing crisis becomes imperative. By 2025, approximately 1.6 billion people will lack adequate housing, necessitating the construction of 96,000 affordable homes daily to meet the demand of 3 billion people by 2030 (Masterson, 2022). Urban areas, which now host over 50% of the world’s … Read more

C.O.M.F.O.R.T

City-Oriented Modeling for Observational Radiative Thermal comfort CONCEPT The idea behind C.O.M.F.O.R.T is to provide an effective tool for architects and urban planners to design cooler and more sustainable cities, leveraging the power of machine learning and AI technologies. FACTORS OF IMPACT To create COMFORT we had to study the different factors of impact which … Read more

Pix2Daylight

Daylight autonomy is a climate-based metric that measures the percentage of occupied hours during which a given space receives a specific amount of light, typically 300 lux, through natural daylight alone. It is used to evaluate energy efficiency in building designs by evaluating how much artificial lighting can be reduced throughout the year (Lorenz et … Read more

REVITvoice

Vocal Commands for Autodesk Revit Problem Despite decades of technological advancement, the core user experience between man and computer has remained nearly unchanged. This tedious and repetitive process requires designers to spend extreme amounts of time that could be saved through updated methods. This thesis explores a potential future for computer user experience, utilizing AI … Read more