Joshua Udo

I am a Computer Science student at Grambling State University. My research focuses on cyber-physical system safety, drawing on control theory, formal methods, and machine learning to make these systems safer and more reliable. I've previously had the opportunity to collaborate with the CPX Lab at California State University, Long Beach, and the ESSDS Lab at Chapman University on research projects.

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Research

Current and past research projects are listed below

fast-texture Assessment of Pedestrian Crash Protection Systems using Real-World Pedestrian Crash Data in CARLA
Joshua Udo, Karan Devane

Summer 2026 REU at Wake Forest University School of Medicine

fast-texture Automating the Generation of Test Scenarios for Autonomous Driving Agents in CARLA using LLMs and VLMs
Joshua Udo, Xin Qin

Designed a system to automate the testing of autonomous driving agents using an LLM to generate test scenarios in python and a Vision-Language Model (VLM) to validate generated test scenarios

fast-texture Can LLM Fine-Tuning Solve the Puzzle of Mixed Benthic Habitats? A Case Study from the Red Sea
Joshua Udo, Wenzhao Li, Surendra Maharjan, Rejoice Thomas, Hesham El-Askary

Designed and evaluated multiple machine learning model variants to classify benthic cover

fast-texture Transportation Data Science Project
Joshua Udo

Analyzed traffic crash data from Brooklyn, New York, comparing crashes occurring inside and outside school zones to better understand risks affecting student safety.