About

Hi! I'm Irene Alisjahbana

I’m a PhD student advised by Professor Anne Kiremidjian in the Department of Civil and Environmental Engineering at Stanford University. My interest lies in studying earthquakes and how it affects the recovery of a region. Particularly, my research focuses on methods to quantitatively model the housing sector recovery after an earthquake. Having been born and raised in Indonesia, a country that is often struck by major disasters and earthquakes, I am inspired to develop novel methods to quantitatively measure and assess the impacts of earthquakes and subsequent recovery that can ultimately be applied in different regions to help inform post-earthquake recovery plans.

Contact me here!

Email: alisjahbana@stanford.edu

Education

PhD in Structural Engineering - Stanford University

California - USA

2019-Present

Master of Science in Structural Engineering - Stanford University

California - USA

2017-2019

Bachelor of Engineering in Civil Engineering - Universitas Indonesia

Depok - Indonesia

2013-2017

My Work

Selected Projects

Engineering/Design

Wiratman Karkasa Bridge, Depok, Indonesia

I led a team of three to prepare a preliminary design report for an award winning bridge, which included the design, structural analysis, cost estimation and construction plans.

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Recovery

Modeling Housing Community Recovery using a Stochastic Queueing Model

In this project, I develop a novel stochastic queuing model that accounts for the total number of damaged buildings, the damage distribution, resource constraints and reconstruction prioritization strategies.

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Recovery

Recovery-Based Policy Interventions for Single Family Residential Buildings

In this project, I study various recovery plans to minimize overall recovery time and population displacement, especially for the most vulnerable population.

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Damage Assessment

Multi-Disaster Building Damage Segmentation and Classification using Satellite Imagery

We create a deep learning model that combines a building identification semantic segmentation convolutional neural network (CNN) to a building damage classification CNN.

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Engineering/Design

Mars City Design Competition 2018

I helped lead our team to a 1st place design delivery with my contribution to our entry for the Mars City Design competition. I created sketches, engineering plans, and deployment plans for a proposed colonization on Mars.

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Engineering/Design

Kuwaka Bridge

As part of the NTU Bridge Design Competition 2017, I worked in a team of two to design a bridge made out of balsa wood and nylon string. We were awarded 2nd place internationally.

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