PH.D. CANDIDATE
Graduate Research/Teaching Assistant
CEMT Graduate Student Assembly Representative

Contact Information:
Nebraska Hall
City Campus (Lincoln)
pghimire3@huskers.unl.edu

Degree:
Ph.D. - CEMT

Expected Graduation Date:
2024

Advisor:
Kyungki Kim



About Me:

Academic Background

  • PhD in Engineering- Construction Engineering and Management (Running) University of Nebraska-Lincoln, Nebraska, USA 
  • Master of Building Construction, Construction Management | Auburn University, Alabama, USA | 2018
  • Bachelor of Architecture | Tribhuvan University, Kathmandu , Nepal |2014

I am originally from a beautiful country Nepal.  I have more than 5 years of working history in allied fields such as; Architecture, Engineering, Construction, Research, Humanitarian, and Development, in a blended form. I have a background in Airport, Commercial, K12, Health Care, Mixed-use, Multi-Family, Single Family, Civil Infrastructure, Planning, and Disaster Recovery.

I am currently doing research on the implementation of integrated information technology in large capital construction projects.

Research Interests

 AI-Machine Learning, Generative AI, Deep Learning, Data Analytics, BIM, Carbon, Disasters

Publications

 

  1. Ghimire, P., Kim, K., & Acharya, M. (2024). Opportunities and Challenges of Generative AI in Construction Industry: Focusing on Adoption of Text-Based Models. Buildings14(1), 220.
  2. Pokharel, S., & Ghimire, P. (2023). Data-driven MLmodels for accurate prediction of energy consumption in a low-energy house: A comparative study of XGBoost, Random Forest, Decision Tree, and Support Vector Machine. Journal of Innovations in Engineering Education6(1), 12-20.
  3. Ghimire, P., Pokharel, S., Kim, K., and Barutha, P. (2023). "Machine Learning-based Prediction Models for Budget Forecast in Capital Construction." Proceedings of 2023 International Conference on Construction, Energy, Environment and Sustainability, Funchal, Portugal.
  4. Paneru, S., Ghimire, P., Kandel, A., Kafle, S., & Rauch, C. (2024). Embodied residential building carbon emissions reduction in Nepal using linear optimization modeling. Journal of Building Engineering, 108531.
  5. Paneru, S., Ghimire, P., Kandel, A., Thapa, S., Koirala, N., Karki, M. (2023). "An Exploratory Investigation of Implementation of Building Information Modeling in Nepalese Architecture–Engineering–Construction Industry." MDPI Buildings, 13(2), 552.
  6. Kim, S., Ghimire, P., Jeong, H. D., Barutha, P. (2023). "Comparative Analysis of Project Risks across Construction Sectors". ASCE Journal of Construction Engineering & Management.
  7. Wood, X., Ghimire, P., Kim, S., Barutha, P. (2023). “Framework for Evaluating the Success of Integrated Project Delivery in the Industrial Construction Sector: A Mixed Methods Approach & Machine Learning Application”. Construction Economics and Building.
  8. Oyediran, H., Ghimire, P., Peavy, M., Kim, K., and Barutha, P. (2021). "Robotics Applicability for Routine Operator Tasks in Nuclear Power Plants Facilities.” Proceedings of 2021 International Symposium on Automation and Robotics in Construction, Dubai, UAE.
  9. Kim, J., Liu, J., & Ghimire, P. (2019). "The Categorization of Virtual Design and Construction Services." Proceedings of 2019 International Council for Research and Innovation in Building and Construction – CIB World Building Congress, Hong Kong, China.
  10. Ghimire, P., Paneru, S., Pokharel, S., Kandel, A., Ehlert, R., & Burke, K. (2024). A Framework for Resilient Post-Disaster Self-Built House: A Case Study of Gabions House in Gorkha, Nepal.
  11. Ghimire, P., Kim, K., & Acharya, M. (2023). Generative ai in the construction industry: Opportunities & challenges. arXiv preprint arXiv:2310.04427.

 

Hobbies

Soccer, Hiking, Camping, Travelling, Drone 

If you are interested to know about my latest works, research, and events you can find here: Prashnna Ghimire (prashnna-ghimire.com)