Digital Twin · AI in Construction · Parametric Modeling

DIGITAL TWIN &
COMPUTATIONAL DESIGN

Researcher · Built Environment

I work at the intersection of construction, engineering, and computation, building digital twin models of physical infrastructure, applying AI to construction and engineering problems, and using parametric modeling to turn engineering logic into geometry, analysis, and insight.

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FOCUS AREAS

What I Work On

hub
01

DIGITAL TWIN

Data-connected virtual models of physical assets and infrastructure, kept in sync with the real world for monitoring, simulation, and better engineering decisions.

  • + Real-time data
  • + Simulation
  • + Sensor / IoT integration
neurology
02

AI IN CONSTRUCTION

Applying machine learning and generative methods to construction and engineering: design automation, prediction, optimization, and extracting insight from project data.

  • + Machine learning
  • + Generative design
  • + Predictive models
deployed_code
03

PARAMETRIC MODELING

Rule-driven geometry and computational design, encoding engineering logic so that models, drawings, and analyses can generate themselves.

  • + Geometry engines
  • + Computational design
  • + Engineering automation
cloud
04

ENGINEERING SOFTWARE

Cloud-based engineering platforms and 3D tools that bring computational methods to real infrastructure and AEC workflows.

  • + Cloud platforms
  • + Web / 3D (Three.js)
  • + APIs & integration

ABOUT

I'm a researcher focused on computational approaches to construction and the built environment, with a background in engineering.

My work centers on digital twin, AI in construction, and parametric modeling. I build systems that connect engineering logic, geometry, and data.

I previously led research & development at OpenBrIM, building cloud-based parametric modeling systems used on large-scale infrastructure engineering projects.

I care about the intersection of engineering, computation, and data, making engineering knowledge programmable and helping the construction industry work in a more model-driven, data-informed way.

What I work with

  • + Digital twin & simulation
  • + Machine learning / AI
  • + Parametric & computational design
  • + Geometry engines
  • + Cloud engineering platforms
  • + Web & 3D visualization
Halil Yasavul

HALIL YASAVUL

Researcher · Built Environment

My work sits between engineering and data: digital twin models, AI, and parametric systems for the construction and infrastructure world.

My background spans engineering, computational geometry, and cloud software, with a focus on making engineering knowledge programmable.

Python TypeScript C# React Three.js Machine Learning IFC / BIM Autodesk APIs Bentley APIs Geometry Algorithms Cloud Deployment