During the second year of the Master in Advanced Architecture + Thesis Project (MAA02), students have the unique opportunity to work for a period of 1 year on an Individual Thesis Project, focused on the development of a research or pilot project based on the student’s interest, and the learnings of the first year. IAAC supports the student in selecting their Thesis Project topic in order to better orient them according to their future career interests and opportunities. Each student, according to their specific topic, is assigned one or more Thesis Advisors that follow the development of the work throughout the year.

In parallel to the development of the Individual Thesis Project, the second year of the MAA02 offers a series of seminars enhancing the theoretical, practical and computational skills of the students.

Filters
Course

Transient Plastics 3.0

The plastic crisis has reached staggering proportions. If all the plastic waste on Earth were laid out, it would be enough to cover the entire surface of Argentina ankle-deep. Every year, we produce 300 million tons of plastic globally. Yet only 10% remains in use, while more than 80% is discarded. Of this discarded plastic, … Read more

SKYLOFT

MODULAR PODS VERTICAL EXTENSIONS To address urgent urban housing needs, this thesis explores modular rooftop pods using Digital Twins, CNC fabrication, kerfing, and timber joinery—enabling precise, low-waste, minimum tool required for assembling and sustainable expansion of aging urban buildings through scalable and prefabricated Modular systems Why Vertical extension required ? What’s the purpose of the … Read more

EcoNodes

EcoNodes is an AI-driven urban planning platform designed to identify and prioritize the city’s most heat-stressed and impervious junctions for strategic green interventions. By combining satellite imagery, street view segmentation, and environmental datasets, EcoNodes highlights the urban nodes that lack vegetation, suffer from poor air flow, or trap excessive heat. The tool empowers planners to … Read more

CONTEXEPT

Contexept is a Context-to-Conceptualization framework integrating Generative AI and Additive Manufacturing to produce facades for specified architectural contexts in upscaled construction scenarios

BEASTIE: How 1m² of Care Can Change a City

When we think of biodiversity restoration, we often imagine vast forests or national parks. But what if it could begin on a balcony? A window ledge? A planter box? This question shaped my thesis project, BEASTIE – the Biodiversity Engagement and Action Simulator for Thriving Inclusive Ecosystems. It is a data-driven simulator that helps citizens, … Read more

Flow – SIGHT: De- coding urban mobility

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

Play Mumbai

“A Digital Tool that facilitates Self-Redevelopment in Mumbai through the Participatory Development Method [PDM] and Decentralized Autonomous Organizations [DAOs] to Reduce Ecological Footprint[EP]. ”

Alkrete

Chitosan-Based Geopolymers for Acid Neutralization in Urban and Coastal Ecosystems Acidity shows up in our environment in different ways: as acid rain in cities and forests, acidified soils near industrial and agricultural areas, and even in the oceans due to rising CO₂ absorption. These are often treated as separate problems, however they’re not isolated phenomena. … Read more

Bio-Build/ final 3rd Term

From Farm to Form It’s estimated that around the world we could create up to 2 billion tones of agricultural waste each year. The EU produces 700 million tones of agricultural waste annually The key point I want to emphasize here is the upcycling of rice husks to unlock greater value. While converting rice husks … Read more

ReGen.Ai

ReGen.Ai is a data-driven design project that reconnects fragmented urban green spaces in Bangalore through multifunctional green corridors, using AI tools to guide nature-based, regenerative urban transformation.