Międzynarodowa Konferencja Metrologiczna „New Trends in Metrology”
KEYNOTE SPEAKERMeasuring the Invisible: Harnessing Explainable AI to Reveal Hidden Patterns |
Piotr GUM, OPI, Poland |
ABSTRACT
EN
The power of AI to detect and quantify what is invisible to the human eye is transforming the fields of metrology, industry, and medical diagnostics. In this keynote, we will explore how AI-driven solutions in prostate cancer diagnosis, IoT-based metrology systems, and advanced CT data analysis uncover hidden patterns in complex radiological assessments and intricate industrial measurements. We will examine the critical role of these innovations in enhancing metrological accuracy, turning previously subjective interpretations into precise, actionable data. Additionally, the keynote will introduce the concept of virtual sensors powered by explainable AI, which provide deeper insights into measurement data, ensuring transparency and trust in AI-driven conclusions. Together, these advancements illustrate how AI is not only broadening the scope of what can be measured but also making these measurements more understandable and reliable for critical decision-making.
SPEAKER BIOGRAPHY
Piotr Sobecki
PL
Assistant Professor and Head of the Laboratory of Applied Artificial Intelligence and the Innovation Center for Digital Medicine at the Information Processing Center.
Counselor for Artificial Intelligence-based Metrology Solutions and Head of the Artificial Intelligence Laboratory in the Department of Digital Technologies at the General Office of Measures.
He is involved in the development of methods to assist medicine using artificial intelligence tools. His professional experience includes leading departments, projects and teams as well as working as a software developer and designer. He leads a team focused on collaborating with metrologists to improve processes, overseeing the development of precision Internet applications (e.g., IoT platforms), developing metrology solutions based on artificial intelligence, and creating a strategic vision aligned with organizational goals. He devotes much of his work to exploring the use of artificial intelligence in healthcare, particularly in diagnostics, where he seeks to contribute significantly to advances in digital medicine.
His academic background includes a Ph.D. Eng. in Computer Science, a Master's in Psychology, and an Executive MBA, equipping him with a diverse skill set for innovative problem-solving.
Projekt współfinansowany ze środków Unii Europejskiej w ramach Europejskiego Funduszu Społecznego, Program Operacyjny Wiedza Edukacja Rozwój 2014-2020
"PL2022 - Zintegrowany Program Rozwoju Politechniki Lubelskiej" POWR.03.05.00-00-Z036/17