65 citations · 70 across the 9 of their papers we have counts for
9 papers
Ladder Logic Translation using Large Language Models in Industrial Automation
Oluwatosin Ogundare, Promise Ekpo, Nathanial Wiggins
Ladder logic translation is an important problem in industrial automation because without it, it is difficult to switch Programmable Logic Controller (PLC) vendors. The prevailing…
LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models
Mohamad Fakih, Rahul Dharmaji, Halima Bouzidi +3
Software vulnerabilities continue to be ubiquitous, even in the era of AI-powered code assistants, advanced static analysis tools, and the adoption of extensive testing frameworks.…
A computational model for gender asset gap management with a focus on gender disparity in land acquisition and land tenure security
Oluwatosin Ogundare, Lewis Njualem
Gender inequality is a significant concern in many cultures, as women face significant barriers to asset acquisition particularly land ownership and control. Land acquisition and l…
LLM4PLC: Harnessing Large Language Models for Verifiable Programming of PLCs in Industrial Control Systems
Mohamad Fakih, Rahul Dharmaji, Yasamin Moghaddas +3
Although Large Language Models (LLMs) have established pre-dominance in automated code generation, they are not devoid of shortcomings. The pertinent issues primarily relate to the…
Resiliency Analysis of LLM generated models for Industrial Automation
Oluwatosin Ogundare, Gustavo Quiros Araya, Ioannis Akrotirianakis +1
This paper proposes a study of the resilience and efficiency of automatically generated industrial automation and control systems using Large Language Models (LLMs). The approach i…
Large Language Models in Ambulatory Devices for Home Health Diagnostics: A case study of Sickle Cell Anemia Management
Oluwatosin Ogundare, Subuola Sofolahan
This study investigates the potential of an ambulatory device that incorporates Large Language Models (LLMs) in cadence with other specialized ML models to assess anemia severity i…
Industrial Engineering with Large Language Models: A case study of ChatGPT's performance on Oil & Gas problems
Oluwatosin Ogundare, Srinath Madasu, Nathanial Wiggins
Large Language Models (LLMs) have shown great potential in solving complex problems in various fields, including oil and gas engineering and other industrial engineering discipline…
No Code AI: Automatic generation of Function Block Diagrams from documentation and associated heuristic for context-aware ML algorithm training
Oluwatosin Ogundare, Gustavo Quiros Araya, Yassine Qamsane
Industrial process engineering and PLC program development have traditionally favored Function Block Diagram (FBD) programming over classical imperative style programming like the…
Comparative Analysis of CHATGPT and the evolution of language models
Oluwatosin Ogundare, Gustavo Quiros Araya
Interest in Large Language Models (LLMs) has increased drastically since the emergence of ChatGPT and the outstanding positive societal response to the ease with which it performs…