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Spring 2023

Kullar, Jagbir S.

With rising demands in industry for reliable electrical cable distribution networks comes an inherent need for utility providers to know well the condition of the assets in their network. Heightened expectations from regulators and consumers require methods of reliability assessment to improve...

Spring 2024

Farrokh, Mahtab

As cancer is the leading global cause of death, an ongoing challenge is predicting an individual's cancer progression accurately, to facilitate personalized treatment planning. Individuals diagnosed with cancer may succumb to the illness or face cancer recurrence post-treatment. The first part of...

Fall 2023

Kuan, Li-Hao

Given a patient's description, a survival prediction model estimates that patient's survival time. We consider the challenge of learning an individual survival distribution (ISD) model from a dataset that includes censored training instances – i.e., data that provides only the lower bound of the...

Fall 2023

Hossein Gharari Foomani, Ali

A survival dataset describes a collection of instances, such as patients, and associates each instance with either the time until an event (such as death), or the censoring time (eg, when the instance is lost to follow-up), which is a lower bound on the time until the event. While there are...

Fall 2022

Agina, Samaa

Road collisions are one of the leading causes of death globally (1), with pedestrians, cyclists, and motorcyclists accounting for more than 50% of road traffic fatalities. Many countries work hard to provide safer roads for all users, especially vulnerable ones, not least because the cost to most...