91ÆÞÓÑ

Computer Science Seminar

Fall 2026 Computing Seminar Schedule

Seminars are held in Science Room 113. All Friday seminars are at 7:00 am; seminars on other days are at 4:00 pm unless posted otherwise. All are welcome!

Date

Presenter

Topic

Thursday,
Sep. 17

Dr. Kalyani Dhusia          UAMS / AR-INBRE 

From Biomedical Questions to Data-Driven Discovery

Friday,
Sep. 18

Craig Dodson

Hannah Dodson

The Complexities of Managing Supercomputers

Template Metaprogramming

Thursday,
Sep. 24 

Meghan Norris
InfoWorks

The Development Lifecycle of a Patient Outcome Prediction Model

Friday,
Sep. 25

Sofi Sarmiento 

Seth Roberts

Collaborative Filtering for Recommendation Systems: How Does Spotify Know What You Might Like?

Software Architecture for Embedded Sensor Fusion: Implementing Autonomous Navigation with MicroPython

Thursday,
Oct. 1

Data Science Team
Murphy USA

Labor Optimization using Data Science

Friday,
Oct. 9

Carter Fitch

Elijah Linderman

The Minds Within Missiles

The PDF Reading Order Problem: 2D Spatial Embeddings and OCR-Free Document

Friday,
Oct. 16 

Jack Clark 

Davis Burt

Event Streaming with Apache Kafka

Agentic RAG: Retrieval Evaluation and Self-Correction

Friday,
Oct. 23

Stephen Smith 

Brenden Ireland

Arbitrary Code Execution in Retro Video Games: A Technical and Historical Analysis

Deobfuscating Obfuscation

Friday,
Oct. 30

Nathaniel Kinonen

Avery Stanfill

Vulkan: A Modern Graphics API

Automated Action Recognition and Player Attribution in Sports Video

Thursday,
Nov. 5 

Landen Wilson 

Trevor Luttrell

Software Implementation of Digital Lock-in Amplifiers

FABRIK: Fast Geometric Inverse Kinematics for Real-Time Character Animation

Friday,
Nov. 6 

David Easter
St. Jude Children’s Research Hospital

Profiles in Problem-Solving: What Does a Technology Professional Actually Do After Graduation?

Friday,
Nov. 13 

Herber Catalan 

Belén Lopez

Painting Sound with Algorithms: Music Visualization through Digital Signal Processing

Exposing the Fake: Technical Approaches to DeepFake Detection

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