Fiona Victoria Stanley Jothiraj
(she/her)
PhD in Artificial Intelligence at Oregon State University
Provost Distinguished Scholarship RecipientBeaverton OR
fiona.victoria@gmail.com
Bio
I’m a PhD student in Artificial Intelligence at Oregon State University, specializing in AI for Social Good and Applied AI/ML in Ecology. My research focuses on utilizing ML-based species distribution modeling algorithms to demonstrate better predictability with the choice of habitat characterization. Additionally, I am investigating plant-pollinator interactions over a decade of environmental change using hierarchical occupancy modeling, uncovering critical insights into the dynamics of the ecosystem.
Prior to this, I worked in the industry on multi-modal AI systems and neural network quantization techniques. I have also contributed extensively to generative models and federated learning as part of privacy-preserving initiatives in machine learning.
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
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]
Media
1. The Hindu - App for Plus Two Students
2. Deccan Chronicle - 12th Standard Student Develops App for Engineering Aspirants
3. Business Standard - School Girl Develops App for TN Engg Aspirants
4. India.com - School Girl Develops Application for Tamil Nadu Engg Aspirants
Vitæ
Full CV in PDF
-
Micron Technology June 2024/2025 - Sep 2024/2025AI Research Intern
-
ML QuESt Research Lab at OSU Oct 2023 - PresentGraduate Research Assistant
-
Oregon State University Sep 2023 - PresentPh.D in Artificial Intelligence
-
Harvard in Tech June 2023 - Oct 2023Data Scientist
-
Research Lab at UW Bothell June 2022 - Jan 2023Graduate Research Assistant
-
University of Washington Bothell Sep 2021 - June 2023M.S. in Computer Science and Software Engineering
-
Multicoreware Inc 2019 - 2020Machine Learning Engineer
-
Multicoreware Inc 2018 - 2019Machine Learning Intern
-
PSG College of Technology July 2015 - May 2019B.E. in Robotics and Automation Engineering
First Class with Distinction
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.
Art
This website was built with jekyll based on a template by Dr. Martin Saveski and Dr. David Alvarez-Melis. Last Updated in March 2025