Bridging Natural Morphology & Precision Engineering
ThinQa is an AI research and development platform born out of the Qatar Environment and Energy Research Institute (QEERI) at Hamad Bin Khalifa University (HBKU). We turn 3.8 billion years of biological evolution into parametric, fabrication-ready 3D-printable CAD code.
"Biomimicry: Accelerating Sustainable Technology"
Featured editorial exploring how QEERI and ThinQa unlock nature's 3.8 billion years of adaptations to solve extreme environment engineering, water harvesting, and additive manufacturing.
1st International Workshop on Biomimicry
Convened international researchers and industry leaders from QEERI, Leibniz-Institut, and Fusion Bionic in Doha, Qatar to establish standard frameworks for generative bio-inspired engineering.
About Our Mission
Nature has spent billions of years optimizing structures for maximum strength, thermal regulation, fluid dynamics, and material efficiency. However, conventional CAD tools were created for standard geometries like cylinders, cubes, and extrusions — making complex organic surfaces virtually impossible to model and manufacture efficiently.
ThinQa solves this translation bottleneck. By combining an extensive library of over 34,000 biological mechanisms with differentiable implicit modeling and voxelized geometry engines, ThinQa allows engineers to ask functional questions (such as "how does a bird wing reduce turbulence?") and receive clean, manifold, 3D-printable code.
Developed at QEERI · Hamad Bin Khalifa University (HBKU)
Located in Education City, Doha, Qatar, the Qatar Environment and Energy Research Institute (QEERI) conducts mission-driven scientific research in energy, water, environment, and advanced materials. ThinQa was conceived within QEERI's computational laboratories to empower global industrial and academic engineering.
Founding Researchers
Led by scientists with extensive track records in computational materials science, physics-based simulations, and artificial intelligence.
Dr. El Tayeb Bentria
Co-Founder · Lead Biomimicry-AI Research
Leads computational biomimicry and AI parametric modeling research at QEERI / HBKU. Specializes in multi-scale geometric synthesis, implicit field representations, and algorithmic design translation from natural morphology to manufacturing code.
Dr. Amine Haboub
Co-Founder · Principal Investigator
Principal Investigator at QEERI with deep expertise in advanced materials characterization, synchrotron imaging, and intelligent algorithmic systems. Author of publications in leading international journals including IEEE Transactions on AI.
Experience the Future of Bio-Inspired Prototyping
Explore the 34,000+ mechanism database, generate parametric code, or schedule a technical walkthrough with our research team.