WELCOME TO DE-lab!

DE-Lab ( Design Experimentation lab), is a research lab located at Faculty of Engineering, Ain Shams University, specializing in computational design, Digital fabrication, GIS, BIM or similar technology-related domains.

Scopes of Services

Innovative products and tools

The final prototype of the project-based research, workshops as well as Internships will be ready as a standalone product in addition to the different iteration of this prototype.

Computational design solutions

Providing smart parametric design solutions in different fields based on the research fields of the lab.

Academic supports and tutoring

       Supporting postgraduate studies as part of specific research project

       Providing workshops/internship

       Assisting in undergraduate programs

Latest News

Graduation Project 2026!

DeLab is excited to announce the upcoming Graduation Project 2026! This year’s theme explores the role of AI agents in shaping architectural design, with the project set along the iconic Nile River in Egypt. Recruitment is soon open for students ready to take part in this forward-looking journey.

Selected Publications

An Interactive 3D Physical Model for Real-Time Management of the Built Environment

This paper presents “City-Pixel”, an innovative interactive 3D physical model designed for intelligent and real-time management of the built environment. The system combines modular 3D-printed pixels with a digital platform to enable dynamic assessments of urban indicators such as land use intensity, building density, and mobility patterns. By integrating physical modeling with GIS databases and Urbano software, City-Pixel facilitates collaboration among diverse stakeholders, including urban planners, policymakers, and developers. The system’s architecture emphasizes user interaction, scalability, and real-time feedback, enhancing decision-making processes in urban planning. The Heliopolis case study demonstrated the system’s efficacy in improving spatial awareness and adaptability across various urban scales while visualizing alternative scenarios for sustainable development. Although hardware limitations related to the ESP32 microcontroller and I2C protocol pose scalability challenges, future research will focus on optimizing components, refining user interfaces, and conducting extensive validation testing. City-Pixel represents a novel approach to urban planning by connecting tangible user interfaces with real-time digital analytics, promoting inclusive, data-driven decision-making for sustainable urban development.

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