Designing better questions for the built environment.
I build computational tools and simulations that help designers make climate-aware, human-centered decisions — with fewer spreadsheets and more curiosity.
Coordinates
Full Name:Hossein Nazari
Date of Birth:October 12, 1991
Nationality:Iranian
Languages:
English: Professional Working Proficiency
Persian: Native
Working Thesis
My work sits between computational climate design and social digital twins. I translate environmental data, behaviour, and geometry into practical design tools for architecture, landscape, and urban systems.
The goal is simple: make complex evidence easier to use early in the design process — before a beautiful idea becomes an expensive mistake.
Most portfolios record what worked. This one follows the wrong turns that shaped how I design. The path may look scattered — books, cinema, architecture, code, climate, and behaviour — but each detour moved toward one question: how can a digital twin connect people, environment, form, and construction?
Failure notes01 / 09
Learning & Development
Academic Record
2019 - 2022
M.A. in Sustainable Architecture
Iran University of Science and Technology (IUST)
Thesis: Impact of Buildings Alignment on Energy
Efficiency - Design A Residential Complex as case study
in Tehran.
Adaptability & Resilience — thriving in complex projects
Creative Problem Solving — experimental and design-led approaches
Technical Communication — clear documentation & storytelling
Project Management — agile planning and coordination
Selected Work
TectoTrack
A social digital twin and agent-based simulation environment for studying how people move,
choose, wait, and use complex buildings. My work spans behaviour logic, routing, queues,
accessibility, BIM-to-Unity workflows, and technical system architecture.
A reliability-first geometry preprocessing framework for translating NURBS curves into
simulation-ready polylines. It verifies fidelity with MCE/rMCE and uses incident radiation
as a fast diagnostic before heavier daylight and energy simulation.
A hands-on programme for translating human-space questions into explicit agent-based
models. Forty-two participants used Rhino, Grasshopper, and Python to develop and
interpret twelve architecture and urban-design projects.
Reliable Geometry Preprocessing for Building Performance Simulation: Validation of Curve Segmentation through Radiation, Daylighting, and Energy Analyses
A fundamental paper proposed a methodological approach for geometry preparation. It is published with a Rhino/Grasshopper plugin integrates with LadybugTools.