Fields at Play

Fields at Play identifies the value of gender inequality in Olympic infrastructure and proposes to leverage the derived $12.6B Olympic gender gap in sports facilities to fund the revitalization and ongoing program of reliable, safe, and comfortable spaces for women at risk of gender-based violence. Understanding the purpose and outcomes of Olympic infrastructure strategies in … Read more

Trav-a-live

Context Inter Disciplinary In this project, we explore the intersection of digital nomadism, autonomous mobility, and AI-enabled sensing technology. Inspired by thinkers like Tsugio Makimoto, Pierluigi Coppola, and Tim Ferriss, we aim to create an autonomous living space that supports a mobile, remote work lifestyle. The COVID-19 pandemic has accelerated the rise of digital nomadism, … Read more

ISO-COMFORT: A Generative AI Approach for Comfort in Sustainable Style

Blending Isometric Models with AI-Driven Design

GENERATIVE AI Abstract In today’s evolving architectural landscape, the convergence of technology and design offers unprecedented opportunities to enhance human well-being and promote sustainability. At the forefront of this innovation is ISO-COMFORT, a pioneering project that leverages Generative AI to create isometric models emphasizing thermal comfort and sustainable design. This blog post explores the development … Read more

Guidebook on Urban Degrowth

The Case of Tourism in Barcelona The “Guidebook on Urban Degrowth” explores applying degrowth principles in urban planning to promote social well-being and ecological equity in cities. This thesis develops guidelines to shift from high-consumption economic models to those that emphasize environmental balance and social equity. Focusing on Barcelona, it addresses the challenges of over-tourism, … Read more

Predict Yelp Ratings based on Urban Data using GML

Hypothesis The goal of this research was to investigate if open spatial data could predict Yelp ratings utilizing graph machine learning (GML) methods. We hypothesize that urban phenomena, events, and objects will indicate customer reviews and popularity, and therefore, could be used predict ratings. In particular, we perform edge classification using the DGL library. For … Read more

PROJET TOKYO

Frist Research Mebolsim What is Metabolism? Building of Metabolsim Masterplan of Metabolism Comaprison, Masterplan Tokyo by Kenzo Tange vs Comptemporary Tokyo Comaprison1 Theory Comaprison2 City Plan Comparison3 Area plan Comparison4Building Comaprison Conclusion

LEGO Set: A Generative AI Approach

Abstract The project explores the implementation of machine learning models to generate LEGO building instructions manuals and providing a detailed description of the set. We employee diffusion models along with LLM (Large Language Model) to generate both the images of the Lego set and its description. LoRA (Low-Rank Adaptation) we train a stable diffusion model … Read more

Architecture Inspired Furniture

Artificial Inspiration – Dissecting the Creative Process Creativity is often viewed as a uniquely human trait, emerging from the processes of study, interpretation, replication, and mixing variables to create new combinations and results. This project explores whether it is possible to develop a framework based on these principles that AI can reproduce and whether this … Read more

ReWeave_3.0

Abstract: The ReWeave project develops a robotic system to repurpose construction and demolition (C&D) waste into functional, attractive walls, enhancing human-robot collaboration. We created a database by scanning broken tiles to extract shape, size, and color information, then developed custom nesting algorithms to optimize tile arrangement. The workflow includes scanning tiles, exporting outlines via ROS, … Read more

Metro Station Prediction in Stockholm

This post describes the development of a method to predict metro station locations using Graph Neural Networks (GNNs). Our journey began with a challenge familiar to urban planners: how to strategically place new metro stations to optimize transportation networks. In this case the city of Stockholm was used as testbed. The Challenge of Data Imbalance: … Read more

In pursuit of Identity

Exploring architectural identity of the city with 3D GAN and Stable Diffusion with case study of Kazan This research proposes to explore the ability and accuracy in styding and representing architectural identity of the city through the set of artistic experiments with all generated 3d geometry and 2d images in order to meet expectations of … Read more

100-Year Flood Risk Road Intersection Classification

Flood Risk Classification

Beginnings Our project’s concept is to develop a classification model that identifies street intersections (graph nodes) in Stockholm, Sweden, susceptible to flooding during a 100-year flood event. Based on our initial research, we found that graph machine learning operates at three levels: the graph, its edges, and its nodes. With access to a 100-year flood … Read more

TREE WISE

TIMBER SENSING TECHNOLOGY A material system combining timber and graphene, replacing traditional sensors through graphene’s sensing capabilities. This innovative approach allows first, real-time tracking of deformations inside the wood. Second, creating a digital twin that improves maintenance efficiency in the operational phase. Third, providing a detailed service life passport, this system supports reuse and reduces … Read more

Robot of Babel

नमस्ते – مرحبًا – OLÁ – HOLÁ AIM Our aim is to make Human Robot Collaboration accessible to a variety of users via different languages by developing  a speech to toolpath interface. RELEVANCE METHOD Workflow As the participant enters the room, they are greeted by a robot with a friendly waving motion. The participant can … Read more