Headshot of Omobolanle Ogunseiju.

Omobolanle Ogunseiju

Assistant Professor

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Omobolanle Ogunseiju

Assistant Professor

Biography

Omobolanle Ogunseiju is an assistant professor in the School of Building Construction, at Georgia Tech. Omobolanle received her Ph.D. in Environmental Design and Planning, from the Department of Building Construction, at Virginia Tech.

Her research interests focus on advancing workforce development (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, especially within the construction sector. This includes understanding the ethical concerns of automation and robotics in the construction industry.

Omobolanle is an active member of the Diversity and Inclusion Council at the College of Design. During her Ph.D. studies, Omobolanle 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 at Virginia Tech.

She believes that the next generation of construction engineers should be trained to serve as innovators, risk managers, and leaders that shape public policy. As such, Omobolanle believes that teaching should be based on promoting experiential learning amongst students, applying a variety of engagement techniques, and providing hierarchical learning assessments. Omobolanle developed and teaches Construction Cost Management at the School of Building Construction, Georgia Tech, and will teach and develop Construction Technology courses in the coming semesters. She had the opportunity to teach course sections and conduct laboratories in Smart Construction, Building Systems Technology, and Wireless Sensing in Construction Management as a graduate teaching assistant at Virginia Tech.

Teaching Interest:

She believes that the next generation of construction engineers should be trained to serve as innovators, risk managers, and leaders who shape public policy. As such, Omobolanle believes that teaching should be based on promoting experiential learning amongst students, applying a variety of engagement techniques, and providing hierarchical learning assessments. Omobolanle developed and taught Construction Cost Management at the School of Building Construction, Georgia Tech, and teaches Construction Technology courses, such as Construction Technology 1 and 2, and Construction Technology Applications. She had the opportunity to teach course sections and conduct laboratories in Smart Construction, Building Systems Technology, and Wireless Sensing in Construction Management as a graduate teaching assistant at Virginia Tech.

Research Interest:

Her research interests focus on advancing workforce development (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). Her research has been supported by several federal and state agencies, such as the National Science Foundation (NSF), the Centre for Construction Research and Training (CPWR) in collaboration with the National Institute for Occupational Safety and Health (NIOSH), and the Occupational Safety and Health Administration (OSHA). Dr Ogunseiju has received several awards, such as the Academic Outstanding Research and Scholarship award in the College of Design at Georgia Tech, the Outstanding Doctoral Candidate at the Myers Lawson School of Construction, and the Outstanding Doctoral Student in the College of Architecture and Urban Studies at Virginia Tech.

List of Recent Scholarly Work:

1 *Ofori, J., Tomori, M., & Ogunseiju, O. (2025). An investigation of the ethical and social risks of exoskeletons in the construction industry. Journal of Smart and Sustainable Built Environment. 
2.    *Tomori, M. A., Ogunseiju, O. R., & Ofori-Boadu, A. (2025). Investigating the Professional Technical Identity Practices in the Implementation of Laser Scanning in the Construction Industry. International Journal of Construction Education and Research, 1–34. https://doi.org/10.1080/15578771.2025.2534337. 
3.    *Tomori, M., & Ogunseiju, O. R. Exploring professional vision: Analyzing variances in professionals’ and novices’ perception and decision-making within mixed reality learning environments. Journal of Civil Engineering Education (ASCE). 
4.    *Mariam Tomori & Omobolanle Ogunseiju (2025). Investigating the Relationship Between Situational Awareness and Cognitive Load in a Mixed Reality Learning Environment for Construction Education. Journal of Information Technology in Construction (ITcon), Special issue: ‘Smart and Sustainable Built Environment (SASBE 2024)’, Vol. 30, pg. 1459-1477, DOI: 10.36680/j.itcon.2025.059
5.    *Ofori, J., Tomori, M., & Ogunseiju, O. (2025). Impacts of Wearable Robots in Mitigating Musculoskeletal Disorders amongst Masons: Cognitive States, Productivity, and Discomfort. Journal of Information Technology in Construction (ITcon), 30(52), 1292-1313.
6.    *Divisha Singh, Omobolanle Ogunseiju, Ebenezer Fanijo. A sustainable future: Leveraging IPD and BIM for green construction success[J]. Clean Technologies and Recycling, 2025, 5(2): 143-160. doi:10.3934/ctr.2025008

Degrees with Year of Award:

2019 – 2022            Ph.D. in Environmental Design and Planning 
                Building Construction,
                               Myers Lawson School of Construction,
                               Virginia Polytechnic Institute and State University, Blacksburg, VA
2017 – 2019        Master of Science in Quantity Surveying (Estimating) 
                               Obafemi Awolowo University, Nigeria                            
2009 – 2014        Bachelor of Science in Quantity Surveying (Estimating) 
                               Obafemi Awolowo University, Nigeria   

Areas of Expertise

  • Workforce Development
  • Data Analytics
  • Construction Safety
  • Construction Robotics
  • Construction Automation

 

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