Posts by Collection

Causal Inference in Machine Learning

An introduction to advanced methods in Causal Inference using Machine Learning Read more

Credit Card Fraud Detection

In this project, I utilize various sampling techniques to deal with highly imbalanced data on fraudulent credit card transactions. Data source: Kaggle Read more

Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning is a graduate-level class (STATS M231A) I tool in Fall 2021. Taught by a renowned research scientist in machine learning space, Prof. Ying Nian Wu, the class gave and introduction to state-of-the-art machine learning and deep learning algorithms. Most of the assignments and the final project can be found in the Github repo. Read more

From the Curbside to Home Plate: Opportunities and Challenges with Progressive Duration Stadium Event Pricing

Published in Transportation Research Board, 2019

This conference paper summarizes the result from an extensive program evaluation of Performance-Based Street Parking Pricing Scheme implemented during game days in National Ballpark in D.C. Read more

Recommended citation: Perez B, Dahal L. From the Curbside to Home Plate: Opportunities and Challenges with Progressive Duration Stadium Event Pricing. Proceedings of the 96th Annual Meeting, Transportation Research Board, Washington, D.C. 2019. https://dcgis.maps.arcgis.com/sharing/rest/content/items/4ae98e198e494496b64d48ef7856a128/data

Quantifying the Effect of Probability Model Misspecification in Seismic Collapse Risk Assessment

Published in Structural Safety, 2022

This paper focuses on quantification and propagation of uncertainty induced due to misspecification of probability distribution in seismic risk assessment. Read more

Recommended citation: Dahal, L., Burton, H., & Onyambu, S. (2022). Quantifying the effect of probability model misspecification in seismic collapse risk assessment. Structural Safety, 96, 102185. http://laxmandahal.github.io/files/probability_model_misspecification.pdf

An End-to-End Computational Platform to Automate Seismic Design, Nonlinear Analysis, and Loss Assessment of Woodframe Buildings

Published in 12th NCEE hosted by EERI, 2022

This is the conference paper published and presented as a part of the 12th National Conference in Earthquake Engineering (NCEE) hosted by Earthquake Engineering Research Institute (EERI) in Salt Lake city, Utah from 27 June - July 1 2022. This is the first publicly published documentation of the end-to-end workflow to automate the several steps involved in probabilistic performance-based earthquake engineering Read more

Recommended citation: Dahal L, Burton H, Yi Z. An end-to-end computational platform to automate seismic design, nonlinear analysis, and loss assessment of woodframe buildings. Proceedings of the 12th National Conference in Earthquake Engineering, Earthquake Engineering Research Institute, Salt Lake City, UT. 2022. http://laxmandahal.github.io/files/woodSDA_12NCEE_Conference_Paper.pdf