Living Labs
The AM2PM Living Labs bring together a multidisciplinary team of experts across Europe, combining diverse expertise with real-world environments to develop, test, and validate innovative construction solutions.
Our Team
Senior Scientists
Associate Dean for Graduate Studies, Academic Head of the Technion Advanced Construction Center, Director of the MTRL Lab
He is the Project Coordinator of AM2PM. His research focuses on the synergy between information technologies, computational languages, and digital fabrication systems, examining the way in which disruptive technologies inform and generate innovative approaches to design and construction processes.
Lean Construction Safety, Safe Human Robot Collaboration Work Environments, Digital Building Logbook for Sustainability.
PI leading WP2
Their WP addresses the structural optimization of building components to be fabricated using 3D printing. The aim is reducing the embodied carbon of concrete load-bearing components by enabling significant weight reduction.
Head of the Seskin Virtual Construction Lab, Director of the National Building Research Institute
In AM2PM, he works with our partners and students to develop, evaluate and refine production system configurations for construction of high-rise buildings using additive manufacturing, robotic, mechanized and conventional construction methods. Our work includes adaptation of building component designs to suit the novel production system.
Our Team
Young Researchers
Associate Researcher working with professor Oded Amir on developing holistic design tools for 3D-printed concrete, bridging digital design with practical fabrication. This work integrates material behavior, fabrication considerations, and prestressing within topology optimization to deliver sustainable, structurally optimized, efficient, and print-ready designs.
Within AM2PM, he develops the digital and cyber-physical infrastructure for robotic additive manufacturing, enabling data-driven and predictive fabrication workflows through the Learning-by-Printing approach.
In AM2PM his task is to develop and deploy a Digital Twin Infrastructure leveraging AI and Linked Data approaches.
He is supporting ongoing research on Learning-by-Printing, which aims to achieve high-quality results in additive manufacturing for construction using various sensor techniques. Since the quality of the final products can fluctuate due to changing environmental and material conditions, extensive data is collected to predict optimal parameters for specific setups and situations.
Presentations
Innovation Panel
Henrik Lund-Nielsen – COBOD
Michel Honoré – FORCE Technology
Navid Ranjbar – DiGiMAT
Panel Discussion