Omobolanle Ogunseiju

About

Omobolanle Ogunseiju is an assistant professor in the School of Building Construction at Georgia Tech. She earned her Ph.D. in Environmental Design and Planning from the Department of Building Construction at Virginia Tech, where she was recognized as the outstanding doctoral candidate at the Myers Lawson School of Construction and the outstanding doctoral student in the College of Architecture and Urban Studies. Her research interests focus on advancing workforce development—specifically safety, health, and well-being—and developing smart communities through the application of wearable robots and Artificial Intelligence, enabled by digital twin, cyber-physical systems, data sensing, and reality capture technologies. She is particularly interested in understanding and shaping the human–technological dynamics involved in workforce development, safety, and health within the construction sector, including the ethical concerns of automation and robotics. Omobolanle is an active member of the Diversity and Inclusion Council at the College of Design and has received several awards for her research and scholarship, including the Academic Outstanding Research and Scholarship award at Georgia Tech.

Research topics

• Computer Science
• Engineering
• Embedded system
• Computer Security
• Artificial Intelligence
• Simulation
• Human–computer interaction
• Business
• Physical therapy
• Engineering management

Selected publications

• Assessing the ethical, social and psychological risks of active and passive exoskeletons in the construction industry: trust, productivity and stress levels

  Smart and Sustainable Built Environment · 2025-02-07 · 10 citations

  articleSenior author

  Purpose Exoskeletons have the potential to alleviate musculoskeletal disorders (MSDs), increase productivity and ultimately reduce construction project costs, but the concerns about their ethical, social and psychological risks for the construction industry are unknown. This paper investigates these risks and their implications for exoskeleton acceptance. Design/methodology/approach Participants performed masonry tasks without an exoskeleton and with an active and passive exoskeleton. Using desc…

  PublisherDOI

• Development of Construction Engineering and Management Students' Professional Identities: An Investigation of Professional Identity Practices Through Storytelling

  2024-10-13 · 7 citations

  articleSenior author

  This research-to-practice full paper investigates professional identity practices needed for developing construction engineering and management students' professional identities. The construction industry is experiencing rapid technological advancement, with technologies playing a vital role in enhancing project efficiency, safety, and productivity. However, this progress has unveiled a critical shortage of skilled technical professionals capable of driving the adoption of construction technolog…

  PublisherDOI

• Towards Personalized Learning Environments: Using Machine Learning to Predict Students' Learning Preferences in a Mixed Reality Environment

  2024-10-13 · 6 citations

  article

  This research-to-practice full paper describes the machine learning techniques for predicting students' learning preferences and cognitive load in a mixed reality environment. As the construction industry increasingly adopts sensing technologies, the demand for hands-on learning experiences in construction education becomes imperative. However, challenges arise in educating the future workforce due to limited access to construction sites for practical learning and the high costs associated with…

  PublisherDOI

• Assessment of Situational Awareness in the Implementation of Sensing Technologies on a Virtual Construction Site within a Mixed Reality Environment

  Lecture notes in civil engineering · 2025-01-01 · 4 citations

  book-chapterSenior author
  PublisherDOI

• Exploring Professional Vision: Analyzing Variances in Professionals’ and Novices’ Perceptions and Decision-Making within a Mixed Reality Learning Environment for Construction Education

  Journal of Civil Engineering Education · 2025-07-12 · 3 citations

  articleSenior author

  The construction industry is undergoing a significant transformation as the workforce shifts from traditional practices to sensing technology-driven approaches, thereby creating a critical skills gap. Mixed reality learning environments (MRLE) have emerged as a promising solution to prepare the future workforce by providing immersive and experiential learning experiences with sensing technologies. While studies have explored how MRLEs can afford students with the requisite technical skills, ther…

  PublisherDOI

Frequent coauthors

• Abiola Akanmu

  Virginia Tech

  35 shared

• Nihar Gonsalves

  Virginia Tech

  17 shared

• Chukwuma Nnaji

  Texas A&M University

  14 shared

• Diana Bairaktarova

  University of California, Irvine

  13 shared

• Farrokh Jazizadeh

  Virginia Tech

  7 shared

• Doug A. Bowman

  6 shared

• Johnson Olayiwola

  Virginia Tech

  4 shared

• Mariam Tomori

  Texas A&M University

  4 shared

Labs

• Smart Bees LabPI

Education

• PhD, Building Construction

  Virginia Tech

  2022

Awards & honors

• Academic Outstanding Research and Scholarship award in the C…
• Outstanding Doctoral Candidate at the Myers Lawson School of…
• Outstanding Doctoral Student in the College of Architecture…

Similar researchers at Georgia Institute of Technology

• Javier Irizarryh-31
• Baabak Ashurih-27
• Ebenezer Fanijoh-11