Dr. Prashnna Ghimire

Ghimire, P. (2025). Framework for Integrating Industry Knowledge into a Large Language Model to Assist Construction Cost Estimation. Doctoral Dissertation, The University of Nebraska-Lincoln

Ghimire, P., Kim, K., & Acharya, M. (2024). Opportunities and Challenges of Generative AI in Construction Industry: Focusing on Adoption of Text-Based Models. Buildings, 14(1), 220.

Ghimire, P., Kim, K., Stentz, T., & Roy, T. (2025). State-of-the-Art Pre-Trained LLMs for Construction Cost Estimation Tasks: A Conceptual Estimation Scenario Using a Modular Chain of Thought (CoT) Approach.Preprints,202510.1060.v1

Ghimire, P., Kim, K., & Acharya, M. (2023). Generative AI in the construction industry: Opportunities & challenges. arXiv preprint arXiv:2310.04427.

Kim, K., Ghimire, P., & Huang, P.-C. (2025). Framework for LLM-Enabled Construction Robot Task Planning: Knowledge Base Preparation and Robot–LLM Dialogue for Interior Wall Painting. Robotics, 14(9), 117. SSRN.

Kim, K., Huang, P., Ivashchenko, M., Ghimire, P., & Huang, Pei-Chi (2024). Context-Aware and Adaptive Task Planning for Autonomous Construction Robots Through LLM-Robot Communication. SSRN.

Pokharel, S., & Ghimire, P. (2023). Data-driven Machine Learning Models 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 Education, 6(1), 12-20.

Ghimire, P., Pokharel, S., Kim, K., & Barutha, P. (2023). Machine Learning-based Prediction Models for Budget Forecast in Capital Construction. Proceedings of the 2023 International Conference on Construction, Energy, Environment and Sustainability, Funchal, Portugal.

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.

Ghimire, P., Paneru, S., Pokharel, S., Kandel, A., Ehlert, R., & Burke, K. (2024). Multi-Objective Framework for Resilient Post-Disaster Self-Built Residential Buildings. Architecture, 4(4), 1047-1070.

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.

Kim, J., Liu, J., & Ghimire, P. (2019). The Categorization of Virtual Design and Construction Services. Proceedings of the 2019 International Council for Research and Innovation in Building and Construction – CIB World Building Congress, Hong Kong, China.

Kim, S., Ghimire, P., Jeong, H. D., & Barutha, P. (2024). Comparative Analysis of Project Risks across Construction Sectors. Journal of Construction Engineering and Management, 150(6), 04024038.

Kim, S., Ghimire, P., Barutha, P., & Jeong, H. D. (2024). Risk-Based Decision-Making Framework for Implementation of Collaboration and Integration Strategies. Journal of Management in Engineering, 40(5), 04024041.

Wood, X., Ghimire, P., Kim, S., Barutha, P., & Jeong, H. D. (2024). 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, 24(1/2).

Ghimire, P., Paneru, S., Pokharel, S., Kandel, A., Ehlert, R., & Burke, K. (2023). A Framework for Resilient Post-Disaster Self-Built House: A Case Study of Gabions House in Gorkha, Nepal. Preprints.org.

Oyediran, H., Ghimire, P., Peavy, M., Kim, K., & 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.

Barutha, P., Jeong, H. D., Ghimire, P., Kim, S., Cook, R., & Wood-Aliberch, X. (2023). Implementation Guide to Industrial Integrated Project Delivery (I2PD) (Report No. FR-383). Construction Industry Institute (CII).

Generative AI Application in Construction
My Ph.D. research focuses on leveraging Generative AI, particularly Large Language Models (LLMs), to transform pre-construction workflows through RAG, a modular LLM framework, CoT reasoning, AI Assistant, and AI-Agents.

Project:  Implementation Guide to Industrial Integrated Project Delivery (I2PD)

• Funding Agency: Construction Industry Institute (CII) 
• Roles: Led weekly team meetings, data collection via industry survey, industry outreach, interviews with industry experts, industry experts’ workshops, presentations at annual conferences, data analysis, I2PD tool development, CI tool development, report writing, and manuscript writing

Project:   Accelerated Bridge Construction (ABC) Decision Tool

• Funding Agency: Nebraska Department of Transportation (NDoT)
• Roles: Data analysis

Project:  Personal Protective Equipment (PPE) Training

• Funding Agency:  Occupational Safety and Health Administration (OSHA)
• Roles: Led training material development, website development, trainers and trainees recruitment in six states- NE, CO, SD, IA, MO, KS, database management, industry outreach and advertisement, data analysis, and quarterly report writing 

• Doctor of Philosophy (Ph.D.), Major: Engineering | Specialization in Construction Engineering and Management, University of Nebraska-Lincoln, 2025
• Outstanding Ph.D. Student 2024, Durham School of Architectural Engineering & Construction, University of Nebraska-Lincoln, 2024
• Sigma Lambda Chi International Construction Honor Society Member, Outstanding Student Recognition, University of Nebraska-Lincoln, 2021
• National Earthquake Resilient Housing Design Competition Winner, Nepal Government, UNDP (United Nations Development Program) and NEA (Nepal Engineers’ Association), 2015
• Institute of Engineering Scholarship, Top 10 Student of Bachelors in Architecture Program, Tribhuvan University, 2009-2014
• Outstanding High School Student, Mahatma Gandhi Scholarship, Embassy of India, 2006/2007
• Chitra Bahadur Maankumari Sikshya Puraskar for Class Topper, Laxmi Secondary School, Grade I to Grade X, 1996-2006