Cloud Based Remote Sensing, Optimization and Agent Based Simulation Floods that were once rare are now happening more often. In Valencia, Spain, a flood expected only once every 500 to 1,000 years has happened three times in the last few decades, with the most recent in October 2024 killing over 230 people and causing €16 … Read more
An algorithmic roadmap that converts self-organized settlement morphology into clean-energy action: the Energy-Morphology Index mines open roof- and density data, ranks each building’s readiness, and matches “Ready / Promising / Not-Ready” clusters to modular solar toolkits—turning self-organized settlements into engines of energy justice
Using Street View and Remote Sensing to Assess Risk and Empower Small Businesses Whos got my Credit? Access to credit is a fundamental driver of economic growth, especially for Micro, Small, and Medium Enterprises (MSMEs) in the Food & Beverage (F&B) sector. Yet, traditional lending models—rooted in asset-based evaluations—often exclude countless small business owners, particularly … Read more
Computing Risk & Planning Resilience from Afar is a remote-sensing–driven investigative study to read, identify and address underlying vulnerabilities associated with landslide risk in urban India. The project aims to develop replicable analysis workflows for compounded risk calculation—making visible what often remains hidden enabling actionable insights in places where institutional data is frequently outdated or … Read more
Introduction Urban traffic congestion is more than just an inconvenience—it’s a global challenge tied to pollution, stress, and wasted time. While cities are turning to AI-driven systems to ease the gridlock, the question remains: Do these technologies actually perform better than traditional methods?Flow – SIGHT is a comparative research project that investigates traffic systems across … Read more
Jakarta’s rapid urbanization has outpaced the development of equitable mobility infrastructure, exacerbating safety disparities, particularly for low-income women navigating the city at night. While formal policies fall short, informal transport networks like Angkot fill critical gaps, despite exposing riders to physical and psychological risks. This study explores how machine learning can be used to fill … Read more
Ndama, the fastest-growing informal settlement in Rundu, Namibia, faces critical challenges in water accessibility shaped by gender, age, income, and spatial isolation. With women disproportionately responsible for water collection under unsafe and inequitable conditions, our study combines interviews and spatial data to map intersectional vulnerabilities. We developed an interactive tool that simulates real-world constraints—heat, crime, … Read more
AQUA.NEST: An AI-Powered Decision Support Toolbox for Adaptive Urban Design Using Nature-Based Solutions in Flood-Exposed Coastal Cities Coastal urban flooding is emerging as one of the most urgent climate challenges of our time. Without strong adaptation, annual flood damages could reach €930 billion globally by 2050, even with improved infrastructure (OECD, 2020). Rising sea levels and … Read more
Predicting Building Energy Performance: A Machine Learning Approach to Energy Use Intensity (EUI) In the world of sustainable architecture and building design, understanding energy consumption is crucial for creating efficient, environmentally responsible structures. Energy Use Intensity (EUI) serves as a fundamental metric that tells us how much energy a building consumes per square meter per … Read more
January 7th marked the beginning of one of the most devastating wildfire events in California’s recent history. A series of fires struck the city of Los Angeles, and within just 24 hours of the first ignition, the city was already facing three major wildfires in Pacific Palisades, Eaton, and Hurst. At that point, two fatalities … Read more
The Challenge Traditional industrial robot software emphasizes reliability, precision, and repeatability. This approach can make the human-robot collaborations feel uncreative and non-engaging. Robots must by dynamic and engaging to thrive in a human-centered environment. The Solution The Overview Inverse Kinematics Using Inverse kinematics to orchestrate joint rotations, and constructing smooth mathematical functions that are composed … Read more
Safety Perception in Jakarta Why Simulate Perception in Urban Spaces? In the realm of smart city design and urban analytics, one of the most nuanced yet underexplored datasets is perceived safety. This perception isn’t easily quantifiable, yet it critically influences how public spaces are used, trusted, or avoided. Traditional surveys are the go-to method for … Read more
Infiltraciones en el Barrio Ferroviario de San Juan. Artes, Oficios & Rituales. Huellas Ferroviarias El 2 de abril de 1885 llega el ferrocarril a la Provincia de San Juan. Su llegada fue indispensable y fundamental, junto a la inmigración europea. En el año 1948, el presidente de la República Argentina, Juan Domingo Perón, nacionalizó los … Read more
Generating the Optimal Pavilion Design through Sunlight-Driven Evolutionary AlgorithmsLocation: Poblenou, Barcelona This project explores a generative design workflow applied to pavilion architecture in Poblenou, Barcelona, where sunlight is a critical environmental factor. Using evolutionary algorithms, we generate an optimized pavilion form that responds to solar exposure, ventilation, and material efficiency. Inspired by the natural selection principle from John Holland’s genetic … Read more
(PaintDumpster/environmental_data_workshop at ndvi) – Link to GitHub This project aims to detect and classify different types of greenery in satellite imagery by utilizing color and edge detection techniques. The study area is located in Barcelona, Spain (41.396536, 2.194554). The stable version employs color and edge detection for image segmentation, while an alternative method integrates LiDAR … Read more
The project is situated in Athens, Greece, which overheats in the summer. We wanted to test a hypothesis: The overheating is the result of too much hardscaping (asphalt, concrete, brick) and not enough greenery. We wanted to compare the NDVI (a measure of greenery in a city) taken from Satellite images to Land Surface Temperature … Read more
