Laboratory of Generative Systems and Sciences in Architecture and Built Environment

Genesis Lab is a laboratory for research and development of physical, mathematical, and computational modules for generative design systems as well as a platform for devising multi-agent systems for gamification of design. The lab explores and demonstrates the potential of generative design in conjunction with modular building design and construction processes based on the logic of assembly, aggregation, or dry-stacking of modules. The mission of the lab is to develop open-source numerical and scientific computing methods and tools for topological design, combinatorial design, mathematical design optimization, form-finding, and spatial decision-making. Genesis Lab follows three generative design approaches for digitalization of the Architecture, Engineering, and Construction (AEC) industry: 1) scientifically deducing designs from given functional requirements, 2) systematically exploring the possible discrete and modular configurations, or 3) devising ‘generative design game sets’ for co-creating designs through algorithmically structured interactions of designers, cyber-physical design modules, and users. The educational mission of the lab is to train students for developing digital design tools using Python. Additionally, the lab provides support for generative design research or graduation projects as well as the courses Earthy: Generative Design for Earth and Masonry Architecture and Spatial Computing in Architectural Design. Building on a track record of digital Open-Science and Open-Education, Genesis Lab welcomes inter-disciplinary collaboration and provides academic or industrial consultancy and training on making bespoke digital tools for Architecture & Built Environment.

Star topoGenesis

Expertise

Programming
Programming

C# (Mat.NET, Meta.Numerics, Accord.NET), Python (NumPy, SciPy, NetworkX, Scikit-Learn, TensorFlow, OR-Tools, PyTorch, topoGenesis, COMPAS), MATLAB

Mathematics
Mathematics

Linear Algebra, Spectral Graph Theory, Calculus, Statistics and Probability, Control Theory

MachineLearning
Machine Learning

Shape Recognition, Manifold Learning, Natural Language Processing

CompDesign
Computational Design

Computer Graphics, Computer Aided Design, Computational Topology, Computational Geometry

SystemsModeling
Systems Modelling

Simulation Modelling, Differential Equations, Data Management, Data Modelling, Data Visualization, System Dynamics, Control, Agent-based Modelling

OpenSience
Open Science

Open-Source Development, Version Control, Source Code Management

Contributors

Meet all the contributors who give life to Genesis! See the alumni here

Genesis Wall of Fame

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Aditya Soman

Former MSc Student| Computational Designer @ Ramboll

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Anastasia Florou

Former MSc Student| Junior Software Developer & Computational Designer @ Sustainer Homes

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Anna Kaletkina

Former MSc Student @ TU Delft Faculty of Architecture, Architectural Engineering

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Baolian Liu

Former MSc Student @ TU Delft Faculty of Architecture, Building Technology

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Berend Vos

Former MSc Student @ TU Delft Faculty of Architecture, Architectural Engineering

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Bezawit Zerayacob Bekele

Former MSc Student| Project Engineer @ White Lioness Technologies

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Jacek Baczkowski

Former MSc Student| Founder @ Play Well

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Leticija Petrova

Former MSc Student| Project Manager and Parametric engineer @ Respace

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Qinglu Chen

Former MSc Student @ TU Delft Faculty of Architecture, Building Technology

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Roy Uijtendaal

Former MSc Student| Computational Design Specialist @ Nieman Consulting Ingenieurs

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Selina Bitting

Former MSc Student| PhD Researcher at ETH Zürich, Block Research Group

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Solkyu Park

Former MSc Student| Computational Design Specialist @ Junglim Architecture

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Tim Schumann

Former MSc Student @ TU Delft Faculty of Architecture, Building Technology

Current Grad & Honours Students

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Amir Afzalinezhad

MSc Student Geoinformation Sciences @ University of Twente

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Aradhana Tripathy

MSc Student Geoinformation Sciences @ University of Twente

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Maulana Ikram Wibisana

MSc Student Geoinformation Sciences @ University of Twente

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Yuan Zhou

MSc Student Geoinformation Sciences @ University of Twente

PhD Candidates & Researchers

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Cemre Çubukçuoğlu

Former PhD Candidate at TU Delft Faculty of Architecture|Research Assistant @ Yaşar University

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Iván Cárdenas

PhD candidate at Faculty of Geo-Information Science and Earth Observation (ITC) of the University of Twente

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Nan Bai

Former PhD Candidate at TU Delft, Faculty of Architecture|Marie Sklodowska-Curie Early Stage Researcher at HERILAND College of Heritage Planning–Post-doctoral researcher at Wageningen University

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Zhuoran Jia

PhD Candidate at TU Delft, Faculty of Architecture

Lab Directors

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Pirouz Nourian

University of Twente

Generative Design Scientist/ Senior Assistant Professor of Digital Twinning

Generative Design, Gamification of Design, Participatory Design, Topology Optimization, Shape Optimization, Masonry Architecture, Numerical Computing, Scientific Computing, Applied Mathematics

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Shervin Azadi

TU/e

PhD Candidate

Generative Design, Collective Intelligence, Participatory Design, Numerical Computing, Swarm Intelligence, Multi Agent Systems

Advisory Board

Members

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Dr. Tom Van Mele

ETH Zurich

Senior Scientist|Co-director @ the Block Research Group (BRG)|Lead developer of COMPAS

Open-source Computational Frameworks, Computational Form-finding and Optimisation, Data Structures, Scientific Programming and Web Technologies

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Dr.ir. Matthijs Langelaar

TU Delft

Associate Professor of Structural Optimization and Mechanics

Computational Engineering Design, Topology Optimization, Evolutionary Fluid-Structural Optimization

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Prof. Elmar Eisemann

TU Delft

Professor of Computer Science|Head of Computer Graphics and Visualization Group

Real-time and Perceptual Rendering, Alternative Representations, Visibility, Image Processing, Vision, Content Creation, Visualization

Interested to join? Contact us!

Final Growth
Credit: Back to the Future "If our calculations are correct, when this baby hits 88 miles per hour, we are going to....."😀