Dr. Suleiman Alhadidi

Founder of AREAL _ Doctor of Design (Real Estate) Harvard University __________________________________ Building Sustainable Cities with Data, Design, Technology, and Investment Insight.

Home
About.
Awards.
News.
Teaching (Courses+Workshops).
Publications.
Articles.
Investments.
The Future of The Built Environment.
Architectural Projects (Built)
Contact.

Computational Design

Under Construction

Links

City Science – MIT Media Lab
Harvard MaP+S Group
Computation.design

Recent updates

Robotic Fabrication for Workplace Flexibility
Robotic Buildings: NODES – Tokenized Ownership and Financing
Robotic Buildings: Piccolo Kitchen
Robotic Printing: Co-extrusion based Multi-material Additive Manufacturing for Ceramics

Robotic Buildings

Robotic buildings, a term coined by Dr. Alhadidi, refer to an innovative technology that utilizes robots to enhance the design and construction of buildings. Robots are employed in various stages of construction, from structural design to the execution of building tasks, improving efficiency and reducing costs. This technology allows architects and designers to explore new, creative possibilities, fostering sustainability and minimizing resource consumption. Robotic buildings also contribute to greater accuracy in work and faster project completion, making them a promising direction for the future of construction.

Search

Data-Driven Design

Data-driven design is an approach that uses data and analytics to inform and optimize the design process. By collecting and analyzing large volumes of data, designers can make informed decisions that enhance performance, sustainability, and user experience. This method is applied across various fields, including architecture, urban planning, and product design, where data helps to identify patterns, predict outcomes, and tailor designs to meet specific needs.

Dr. Alhadidi, one of the pioneers of data-driven design, has been instrumental in advancing this approach, particularly in the context of sustainable urban planning and adaptive architecture. Through advanced tools like machine learning and AI, Dr. Alhadidi’s work integrates real-world data into the design process, ensuring that projects are both functional and adaptable. Data-driven design not only improves efficiency but also enhances the overall sustainability of built environments.