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Data Science Ph.D Program

A website for the Data Science students in the Doctorate Program

Past Symposiums

Mini Symposium on Data Science and AI 

Saturday, June 21st, 2025 our first Mini Symposium on Data Science and AI

This symposium celebrates the breadth and depth of work taking place within our department, showcasing original research, applied projects, and exploratory ideas at the intersection of statistics, machine learning, computational theory, and domain-specific problem solving. From theoretical advancements to practical applications in fields such as healthcare, cybersecurity, sustainability, and education, today's presentations reflect both academic rigor and real-world relevance.

  • Date:

    June 21st, 2025

    Time:

    10:00 – 3:30 PM PST

    Facilitators:

    Irene Tsapara/Daniel Johnston


Program Schedule

Welcome and Opening Remarks

10:00 AM: Opening Remarks and Welcome

Presentations

10:05 AM: Educating with AI: New Frontiers in Learning

Mark Otis, Ms.

10:30 AM: Open-Source LLMOps and MLOps Platform on Kubernetes

Nate Lebel, Ms. (Ph.D. Candidate)

11:05 AM: Digital Twin Representation of Foliage –

Dr. Hashim Shaik

11:40 AM: Multimodal LLM and Smartphones for BP Monitoring –

Dr. Mohammad Yavarimanesh

12:05 PM: Bayesian Network Model for Predicting Gout Attacks –

 Dr. Seyedmohsen Hosseini

12:30 PM: URLAgent: Reasoning and Acting in LLMs –

 Dr. Mohammed Nabeel

12:55 PM: Kernel Landmarks: An Empirical Statistical Approach to Detect Covariate Shift

Dr. Yuksel Karahan

1:20 PM: Accelerating Legacy Code Migration with Artificial Intelligence

 Dr. Amir Schur

1:45 PM: Quantum Computing: A New Computational Paradigm

Dr. Alexander Watt

Student Presentations

2:10 PM: Integrating QAOA with Deep Learning to Detect Protein Folding Disruptions in Liver Cancer Patients  

Dr. Mousumi Chakrabarty

2:25 PM: Transformer-Based Prediction of Emerging Research Themes

Viktoria Popova, Ms. (Ph.D. Candidate)

2:40 PM: Entity Resolution Approaches for Aircraft Type Matching

Karna Bryan, Ms. (Ph.D. Candidate)

Tutorials

2:55 PM: GitHub Tutorial –

Dr. Amir Schur

3:20 PM: Smart Insights with Tableau –

 Dr. Jenny Du

** All times are in Pacific Time Zone