cv

I hereby affirm that the information provided in this CV is accurate and true to the best of my knowledge. This document encapsulates my academic accomplishments, professional experience, and skills acquired over the years. Please feel free to download the PDF version for a more detailed view.

Basics

Name Sandesh Lamsal
Label Ph.D Student
Email [email protected]
Phone (806) 224-8060
Url https://sandeshlamsal.com
Summary A Nepal-born structural engineer, from designing earthquake resistant building to coastal resilient structures

Work

  • 2022 - Present
    Research/Teaching Assistant
    Civil and Architectural Engineering, University of Miami
    Working in morphological investigation and physical testing of Submerged Structures at the University of Miami Alfred C. Glassell, Jr. Surge-Structure-Atmosphere Interaction (SUSTAIN) Laboratory with Dr. Landolf Rhode Barbarigos and Dr. Brian Haus.
    • Coastal Resilience
    • Submerged Structures
    • Physical Testing
    • Morphological Investigation
  • 2021 - 2022
    Graduate Teaching Assistant
    Texas Tech University
    Teaching Assistant in Undergrad Subjects (Statics, Construction Materials Laboratory).

Education

  • 2022 - Present

    Coral Gables, FL

    PhD
    University of Miami
    Civil Engineering(Structures)
  • 2021 - 2022

    Lubbock, TX

    MS
    Texas Tech University
    Civil Engineering (Structures)
  • 2013 - 2017

    Kathmandu, Nepal

    Bachelor's Degree
    Tribhuvan University
    Civil Engineering

Awards

Certificates

OpenFoam CFD
OpenFoam Ltd. UK 2024-02-23
Machine Learning
Universiy of Miami 2023-12-01
Bridge Design Certification
Engineering Helpline Pvt.Ltd 2019-07-01
Professional Engineering Certificate
Nepal Engineering Council 2018-02-01

Publications

Skills

CSI SAP2000 and ETABS
Reinforced Concrete Building Design
Steel Building Design
Earthquake Load Analysis
Wind Load Analysis
ASCE 7-16
ACI 318-19
ABAQUS
FEM Analysis,Linear Analysis
Machine Learning
Supervised Learning,Unsupervised Learning
Reinforcement Learning, Deep Learning, TensorFlow,PyTorch
Regression, Classification, Clustering, Neural Networks
AutoCAD/Revit
Drafting, 2D and 3D
Building Information Modeling

Languages

Nepali
Native speaker
English
Fluent

Interests

CFD and Numerical Modelling
Volume Element Method, FEM, FEA

References

Dr. Brian Haus
Professor & Department Chair of Ocean Sciences, University of Miami
Dr. Landolf Rhode-Barbarigos
Associate Professor, Department of Civil, Architectural and Environmental Engineering, University of Miami