Thierno Gueye

Northwestern Polytechnical University, Gdańsk University of Technology

Papers

Total Citations

H-Index

About

Thierno Gueye is an emerging researcher at the intersection of artificial intelligence, infrastructure monitoring, and industrial cybersecurity. His work addresses two critical and increasingly interconnected domains: the application of machine learning to civil infrastructure deterioration and the security of industrial control systems in the post-pandemic era. Gueye's most recognized contribution, "Concrete Deterioration Detection in Sewers Using Machine Learning Algorithms" (2023), has already garnered 10 citations, demonstrating rapid uptake within the infrastructure monitoring community and highlighting the practical value of AI-driven solutions for urban maintenance challenges. Alongside this, his research into neuro-robotic synergy and industrial control system (ICS) security — reflected in two collaborative works from 2022 and 2023 — positions him as a forward-thinking voice on the vulnerabilities and opportunities introduced by the Internet of Robotic Things (IoRT) in post-COVID industrial environments. Through these contributions, Gueye bridges civil engineering diagnostics and cybersecurity research, offering a multidisciplinary perspective that is increasingly relevant as industries grow more automated and infrastructure more data-dependent. His growing citation record signals a researcher whose influence is poised to expand significantly.