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 |
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
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