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Amir Behzadan

Amir Behzadan

· Professor • Fellow for the Institute of Behavioral Science, Natural Hazards Center

University of Colorado Boulder · Civil, Environmental and Architectural Engineering

Active 2005–2025

h-index33
Citations4.4k
Papers14654 last 5y
Funding$439k

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Amir Behzadan is a professor in the Department of Civil, Environmental and Architectural Engineering at the University of Colorado Boulder. He is also a fellow in the Institute of Behavioral Science (IBS), where the Natural Hazards Center is located. Behzadan is the director of the Connected Informatics and Built Environment Research (CIBER) Lab, which investigates grand challenges at the intersection of society and built/natural environments, including disaster resilience, climate change adaptation, jobsite safety, workplace health, and ergonomics. His research focuses on designing, validating, and disseminating human-centered, responsible, and affordable AI/ML solutions supported by federal, state, and private sector agencies. He serves on the editorial boards of the journals Construction Engineering and Management (ASCE) and Smart and Sustainable Built Environment (Emerald). His academic background includes a PhD in Civil Engineering from the University of Michigan, Ann Arbor, and a BS in Civil Engineering from Sharif University of Technology in Iran.

Research topics

  • Computer Science
  • Artificial Intelligence
  • Engineering
  • Computer network
  • Construction engineering
  • Programming language
  • Operations research
  • Transport engineering
  • Medicine
  • Data science

Selected publications

  • Artificial Intelligence in the Construction Industry

    2022-09-07 · 8 citations

    book-chapter1st authorCorresponding

    Artificial intelligence (AI) is rapidly disrupting many industries including various systems within the Architecture, Engineering, Construction, and Facilities Management (AEC/FM) domains. Advancements in sensing, wearables, unmanned platforms, high-performance computing, open AI software, and robotics serve as catalysts to rolling out new technologies that work in tandem with humans and can lead to unprecedented socio-economic outcomes in safety, health, education, and equity. Examples of such…

  • A Roadmap to the Next-Generation Technology-Enabled Learning-Centered Environments in AEC Education

    Journal of Civil Engineering Education · 2024-02-28 · 6 citations

    articleOpen access

    The architecture, engineering, and construction (AEC) education communities are increasingly facing challenges caused by social, technological, economic, environmental, and political changes. Addressing these issues requires AEC educators and practitioners to systematically rethink and reform many of their current practices. Anecdotal evidence in AEC education already exists with respect to pedagogical improvements made by individual technologies such as immersive computing, artificial intellige…

  • A post-hurricane building debris estimation workflow enabled by uncertainty-aware AI and crowdsourcing

    International Journal of Disaster Risk Reduction · 2024-08-27 · 6 citations

    article
  • Designing user-centered decision support systems for climate disasters: What information do communities and rescue responders need during floods?

    Journal of Emergency Management · 2024-04-03 · 3 citations

    articleOpen accessSenior author

    Flooding events are the most common natural hazard globally, resulting in vast destruction and loss of life. An effective flood emergency response is necessary to lessen the negative impacts of flood disasters. However, disaster management and response efforts face a complex scenario. Simultaneously, regular citizens attempt to navigate the various sources of information being distributed and determine their best course of action. One thing is evident across all disaster scenarios: having accura…

  • Factors influencing human trust in intelligent built environment systems

    AI and Ethics · 2025-08-14 · 2 citations

    articleOpen access1st authorCorresponding

    Abstract Artificial intelligence (AI) is rapidly integrating into infrastructure planning, design, construction, management, and operation. This encompasses the use of AI-powered, intelligent systems to process vast amounts of data and support human decision-making concerning urban development, architecture, transportation systems, housing, energy efficiency, and sustainability of the built environment. AI integration into the built environment has also introduced new challenges with respect to…

Recent grants

Frequent coauthors

  • Reza Akhavian

    San Diego State University

    50 shared
  • Vineet R. Kamat

    26 shared
  • Semiha Ergan

    San Diego State University

    25 shared
  • Fei Dai

    20 shared
  • Jing Du

    University of Florida

    20 shared
  • Nipun D. Nath

    17 shared
  • Theodora Chaspari

    University of Colorado Boulder

    17 shared
  • Yalong Pi

    Texas A&M University

    10 shared

Education

  • Ph.D.

    University of Michigan

    2008
  • M.S.

    University of Michigan

    2005

Awards & honors

  • Faculty Fellow, University of Colorado Boulder, Research & I…
  • Plenary Speaker, Annual Conference of the International Asso…
  • "Editor's Choice" recognition, ASCE Journal of Engineering M…
  • Top Downloaded Article, Journal of Computer-Aided Civil and…
  • Second Place Award, The Inaugural Best Data Award Competitio…

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