Fiona Victoria Stanley Jothiraj
(she/her)
PhD in Artificial Intelligence at Oregon State University
Provost Distinguished Scholarship RecipientCorvallis OR
fiona.victoria@gmail.com
Bio
Hi! I'm Fiona, a passionate researcher dedicated to leveraging the power of artificial intelligence and machine learning for social good, particularly in the field of Ecology.
Prior to this, I obtained my Master's in Computer Science from the University of Washington Bothell and my bachelor’s in Robotics and Automation from PSG College of Technology. I have actively volunteered for a recent social cause using NLP techniques and worked as a machine learning engineer specializing in building multimodal AI systems and developing quantization techniques for neural networks.
Blogs
1. My Journey to PhD Admission in Artificial Intelligence [Towards Data Science - Medium]
2. Untangling Azure IoT Hub and Stream Analytics [Medium]
3. An Introduction to AWS IoT Core [Medium]
Invited Talks
Flower Monthly, August 2023 - Invited Talk on "Phoenix: A Federated Generative Diffusion Model" [link]
Publications
Most recent publications on Google Scholar.
Phoenix: A Federated Generative Diffusion Model
Fiona Victoria Stanley Jothiraj, Afra Mashhadi
ACM WWW'24 Conference
Nostalgia on Twitter: Detection and Analysis of a Large-Scale Dataset
Fiona Victoria Stanley Jothiraj, Lingzi Hong, Afra Mashhadi
ASIS&T 2024
Empirical Dynamic Modelling of the Multi-Source Park Visitation Data
Vahid Shamsaddini, Fiona Victoria Stanley Jothiraj, Mandy Chen, and Afra Mashhadi
Data for Policy Conference 2022
Personalized Emotion Detection using IoT and Machine Learning
Fiona Victoria Stanley Jothiraj, Afra Mashhadi
ArXiv 2022
Time Series Prediction for Food sustainability
Fiona Victoria Stanley Jothiraj
ArXiv 2022
Projects
Machine learning system using a statistical regression model that can predict the top-k food crops that would endure a shortage in each country in the future.
Non-invasive IoT system that tracks patients' emotions, especially those with autism spectrum disorder
Accelerate the reconstruction of images using CUDA parallelization technique by designing CUDA kernels from scratch
Forecasting and deep learning modeling techniques to estimate the hotspots for traffic fatality in the United States
Vitæ
Full CV in PDF
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Micron Technology June 2024 - Sep 2024Research Intern
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ML QuESt Research Lab at OSU Oct 2023 - PresentGraduate Research Assistant
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Oregon State University Sep 2023 - PresentPh.D in Artificial Intelligence
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Harvard in Tech June 2023 - Oct 2023Data Scientist
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Research Lab at UW Bothell June 2022 - Jan 2023Graduate Research Assistant
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University of Washington Bothell Sep 2021 - June 2023M.S. in Computer Science and Software Engineering
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Multicoreware Inc 2019 - 2020Machine Learning Engineer
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Multicoreware Inc 2018 - 2019Machine Learning Intern
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PSG College of Technology July 2015 - May 2019B.E. in Robotics and Automation Engineering
First Class with Distinction
Art
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