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About Me
My name is Janelle Domantay and I am currently a PhD student in Operations Research with Engineering at the Colorado School of Mines. I completed my Master's in Computer Science at the University of Illinois Urbana-Champaign and my BS in Computer Science at the University of Nevada, Las Vegas. My research interests lie in energy optimization and urban building energy modeling. I'm passionate about applying computer science towards climate research, decarbonization, and sustainable technologies. If you have any questions regarding my work please feel free to reach out to me at janelle_domantay[at]mines[dot]edu.
Affiliations
Colorado School of Mines
AMBER Lab
Operations Research with Engineering
University of Illinois Urbana-Champaign
Urban Climate AI Lab
Human-Centered Autonomy Lab
University of Nevada, Las Vegas
My Highlight Reel
A collection of projects I've worked on.Facial Features and Computer Vision
This paper aims to extend previous research on distraction detection by analyzing which visual features contribute most to predicting awareness and fatigue. We utilized the open-source facial analysis toolkit OpenFace in order to analyze visual data of subjects at varying levels of attentiveness.
Graph Theory Optimization
The topic of signed degree sets and signed degree sequences has been studied from many directions. In this paper, we study properties needed for signed trees to have a given signed degree set.
Software Engineering
I previously worked as a full-stack developer for JCM Global, an international company that specializes in transaction technologies. As a developer, I maintained applications for gaming machine management, designed SQL schema for data access, and designed features for the company's 'Android application.
Adaptive Computing
Under the Department of Energy's SULI program, I collaborated with the Artificial Intelligence, Learning, and Intelligent Systems (ALIS) group regarding multi-fidelity optimization. I elaborated on this project in my Master's thesis, where I analyzed the effects of different sampling strategies and control schemes on multi-fidelity and single-fidelity surrogate models.
