⚡ Computational Engineering Researcher
Er. Barsha Bhugai
Computational Civil Engineer
Developing AI-augmented methods for next-generation resilient infrastructure systems.
Developing AI-augmented methods for next-generation resilient infrastructure systems.
My research focuses on integrating computational mechanics, machine learning, and structural engineering to accelerate the analysis, prediction, and optimization of resilient infrastructure systems.
Future direction
Graduate research (Master/PhD) in computational structural engineering and AI-driven infrastructure systems.
Research Problem: Reducing computational cost of nonlinear finite element seismic analysis using ML surrogate models.
Methodology: FE simulation dataset generation → feature engineering → ML model development → structural response prediction.
Tools: Python, Scikit-Learn, Pandas, Jupyter, OpenSees/SAP2000
Research Problem: Determining optimal finite element mesh density to achieve reliable structural predictions while minimizing computational cost.
Methodology: Mesh convergence study → nonlinear FEM simulation → error quantification → computational efficiency evaluation.
Tools: ABAQUS, SAP2000, Python, Jupyter Notebook
Research Problem: Improving pavement sustainability through alternative material utilization and performance evaluation.
Methodology: Material characterization → laboratory testing → mechanical performance assessment → sustainability evaluation.
Tools: Laboratory testing, pavement analysis, engineering data interpretation
Finite element simulations, machine learning pipelines, and computational workflows for intelligent infrastructure research.
Developing a data-driven surrogate model to accelerate seismic response prediction using ML and FE simulation data.
Investigating mesh density effects on accuracy and computational cost in nonlinear structural simulations.
Evaluating alternative materials for bituminous pavements to enhance sustainability and performance.
Reinforcement detailing verification, concrete quality inspection, seismic-zone bridge construction monitoring. Asphalt production monitoring, material testing, pavement performance evaluation, and construction quality control for mountain roads.
Infrastructure planning, feasibility studies, cost estimation, and technical reporting for road and bridge projects. Coordinated with stakeholders and conducted site assessments.
Detailed estimates, quantity calculations, construction supervision, quality standards compliance, and IPCs/final bill processing.
Site supervision, quality control, surveying, measurement, documentation, and safety coordination.
Engineering Challenge: Seismic-zone bridge construction with stringent quality requirements.
Role: Supervised construction activities including quality assurance, technical inspection, reinforcement detailing verification, quantity verification, and engineering documentation.
Engineering Challenge: Aging bridge requiring load capacity evaluation.
Role: Performed complete structural assessment, load analysis, and developed rehabilitation recommendations.
Engineering Challenge: Mountain terrain requiring reliable pavement performance.
Role: Supervised construction activities including asphalt quality monitoring, technical inspection, quantity verification, progress monitoring, and engineering documentation.
Engineering Challenge: Steep terrain and variable subgrade conditions.
Role: Supervised construction activities including quality assurance, technical inspection, progress monitoring, and contractor coordination.
Engineering Challenge: Balancing cost, durability, and constructability in a mixed-pavement corridor.
Role: Led structural design, pavement type selection, and project oversight.
Engineering Challenge: Rural connectivity with minimal environmental impact.
Role: Served as Research Lead, conducted survey data analysis and sustainable master planning.
Research Problem: Environmental impact of traditional pavement materials.
Role: Research Lead and data analyst, exploring eco-friendly alternatives for road construction.
Roads · Bridges · Construction supervision
Field investigations · Material testing
Python · Machine Learning · FEM
Graduate research direction
Academic discussion · Engineering opportunities · Graduate research