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Omid Oliyan Torghabehi

Current Student—Ph.D in Architecture

Omid Oliyan Torghabehi

Specialization: Building Technology
Advisor: Prof. Peter von Bülow

Dissertation Committee: Peter von Buelow (Chair), Richard Roberston (Cognate), Kathy Velikov, Karl Daubmann, Lars Junghans

Research Interests: 

Knowledge-based computational design, exploration based and data driven design optimization, multi-objective design optimization, digital fabrication and additive manufacturing, robotic fabrication.


I am currently a PhD candidate at Taubman College of Architecture. Having a background in structural engineering and artificial intelligence, I am now pursuing my doctoral studies in the field of Building Technology.

My doctoral research focuses on development of knowledge-based design strategies towards effective integration of performance and fabrication rationale in the process of computational design and optimization. As a multi-disciplinary process, computational design takes advantage of computational processes to define and analyze the design problem through repetitive and exploratory process which is enriched and informed by data feedback. A well designed computational process can effectively integrate multiple design requirements, as well as multiple performance feedbacks in the exploration process to address the complexity of architectural design problem. In this regard, knowledge-based systems provide a consistent framework to elucidate, translate, and implement the design expertise and knowledge in the form of generative rules and feedback functions into the computational design process.

As a case study, I am developing a knowledge-based framework for design and fabrication of multi-performance reciprocal architectural systems. This case study shows how the proposed design process can transform the intrinsic capacities of reciprocal systems as a historical structural system into a multi-performance modular system for environmentally friendly large-scale construction. The proposed framework is used in an exploratory computational process to optimize design and fabrication of a multi-performance building façade system which leads to fabrication of a full-scale prototype to test the process.

My research background includes both academic and industry driven researches. Academic research has focused on multi-performance optimization of building façade systems, and robotic design and fabrication of carbon fiber composite materials, and topology based material differentiation for additive manufacturing. Industry driven research has focused on design and optimization of energy efficient building façade systems in collaboration with Autodesk, as well as a collaboration in optimization and robotic fabrication of lightweight stone structures with Quarra Stone company.


  • Rackham Dissertation Grant 2017.
  • ArtsEngine Student MicroGrant 2016.
  • Shapiro Library Design Competition Grant 2016.
  • Rackham International Student Fellowship for Outstanding International Student 2015.
  • Rackham Travel Grant 2015.
  • Norman E. and Mary E. Barnett Fellowship for Environmental Technology in Architecture 2014.
  • Rackham Travel Grant 2014.


  • Omid Oliyan Torghabehi, Alireza Seyedahmadian. “A performance based computational method for assembly design of reciprocal architectural systems with 2D elements.SimAUD, Toronto, Canada, 2017.
  • Alireza Seyedahmadian, Omid Oliyan Torghabehi, Wes McGee. “Developing a computational approach towards a performance based design and robotic fabrication of fibrous skin structures,” International Association for Shell and Spatial Structures IASS symposium, Amsterdam, The Netherlands, 2015.
  • Omid Oliyan Torghabehi, Peter von Buelow. “Performance oriented generative design of structural double skin facades inspired by cell morphologies,” International Association for Shell and Spatial Structures IASS symposium, Brasilia, Brazil, 2014.
  • Azadeh Omidfar, Omid Oliyan Torghabehi, Peter von Buelow. “Performance-based design of a self-standing building skin; A methodology to integrate structural and daylight performance in a form exploration process,” International Association for Shell and Spatial Structures IASS symposium, Brasilia, Brazil, 2014.
  • Omid Oliyan Torghabehi, Peter von Buelow, “Genetic Based Form Exploration of Mid-Rise Structures Using Foam Cell Morphologies,” SimAUD, Tampa, Florida, USA, 2014.
  • Sean Ahlquist, Tim Kampowski, Omid Oliyan Torghabehi, Achim Menges, Thomas Speck. “Digital framework for the computation of complex material and morphological behavior of biological and technological systems – development of analytical and generative spring based methods for biomimetic research and design,CAD Journal, 2014.
  • Abdoreza Joghataie Omid Oliyan Torghabehi. “Simulating Dynamic Plastic Continuous Neural Networks By Finite Elements,'' Journal of IEEE Transactions on Neural Networks, 2013.
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