Prashnna Ghimire

University of Nebraska - Lincoln

United States

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Articles (9)

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Collaborators (3)

Kyungki Kim

Korea Aerospace University

SOUTH KOREA

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Hyungseok Jeong

Associate professor

Iowa State University

UNITED STATES

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Suman Paneru

Pennsylvania State University

UNITED STATES

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Prashnna Ghimire

Research Interests

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Articles (9)

Framework for LLM-Enabled Construction Robot Task Planning: Knowledge Base Preparation and Robot–LLM Dialogue for Interior Wall Painting

Embodied residential building carbon emissions reduction in Nepal using linear optimization modeling

Risk-Based Decision-Making Framework for Implementation of Collaboration and Integration Strategies

Comparative Analysis of Project Risks across Construction Sectors

Opportunities and Challenges of Generative AI in Construction Industry: Focusing on Adoption of Text-Based Models

Multi-Objective Framework for Resilient Post-Disaster Self-Built Residential Buildings

Framework for Evaluating the Success of Integrated Project Delivery in the Industrial Construction Sector: A Mixed Methods Approach & Machine Learning Application

An Exploratory Investigation of Implementation of Building Information Modeling in Nepalese Architecture–Engineering–Construction Industry

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

Collaborators (3)

Kyungki Kim

Hyungseok Jeong

Suman Paneru

Make your next move.

Prashnna Ghimire

Research Interests

Explore related searches

Contact this professor

Articles (9)

Framework for LLM-Enabled Construction Robot Task Planning: Knowledge Base Preparation and Robot–LLM Dialogue for Interior Wall Painting

Embodied residential building carbon emissions reduction in Nepal using linear optimization modeling

Risk-Based Decision-Making Framework for Implementation of Collaboration and Integration Strategies

Comparative Analysis of Project Risks across Construction Sectors

Opportunities and Challenges of Generative AI in Construction Industry: Focusing on Adoption of Text-Based Models

Multi-Objective Framework for Resilient Post-Disaster Self-Built Residential Buildings

Framework for Evaluating the Success of Integrated Project Delivery in the Industrial Construction Sector: A Mixed Methods Approach &amp; Machine Learning Application

An Exploratory Investigation of Implementation of Building Information Modeling in Nepalese Architecture–Engineering–Construction Industry

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

Collaborators (3)

Kyungki Kim

Hyungseok Jeong

Suman Paneru

Make your next move.

Framework for Evaluating the Success of Integrated Project Delivery in the Industrial Construction Sector: A Mixed Methods Approach & Machine Learning Application