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All Symposia / AI-STLE - Artificial Intelligence for Smart Tribology and Lubrication Engineering
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13 AI-STLE - Artificial Intelligence for Smart Tribology and Lubrication Engineering

14:0017:10
14:00 - 17:10
14:00 - 17:10
  • ITC - Meeting - ITC in section meeting
18:0019:30
18:00 - 19:30
18:00 - 19:30
  • W - Welcome Reception
09:0009:45
09:00 - 09:45
09:00 - 09:45
  • O - Opening Ceremony
10:5011:30
10:50 - 11:30
10:50 - 11:30
  • C - Coffee break
12:3014:00
12:30 - 14:00
12:30 - 14:00
  • A - Lunch
12:4013:50
12:40 - 13:50
12:40 - 13:50
  • SL - Sponsor Lecture
14:4016:00
OCEANIA III
14:40 - 16:00
STLE - AI-STLE Artificial Inteligence for Smart Tribology and Lubrication Engineering - Session 01
14:40 - 16:00
  • 14:50 - 15:20Keynote Speaker
    4FD2 - Keynote talk - Prof. Taylor Sparks
    Sparks, T. - University of Utah
  • 15:20 - 15:40Oral presentation
    4DPC - A Data-Driven Framework Using Bayesian Optimization and Surrogate Models for the Accelerated Multi-Objective Design of Tribological Components
    César Pastor - Robert Bosch GmbH
  • 15:40 - 16:00Oral presentation
    4DQH - Physics-Informed Neural Network Framework for Static and Dynamic Performance Prediction of 3D Hydrodynamic Journal Bearings
    ADESH KUMAR TOMAR - Pontificia Universidad Católica de Chile
16:0016:40
16:00 - 16:40
16:00 - 16:40
  • C - Coffee break
16:4018:20
OCEANIA III
16:40 - 18:20
STLE - AI-STLE Artificial Inteligence for Smart Tribology and Lubrication Engineering - Session 02
16:40 - 18:20
  • 16:40 - 17:00Oral presentation
    4DR2 - A machine learning based approach for the estimation of the global energy losses of cylindrical roller bearings
    Felix Pfister - Friedrich-Alexander-Universität Erlangen-Nürnberg, Engineering Design
  • 17:00 - 17:20Oral presentation
    4DR6 - Machine-Learning Potentials for First-Principles Prediction of Tribochemical Reaction Rates
    Wilfred T Tysoe - University of Wisconsin-Milwaukee
  • 17:20 - 17:40Oral presentation
    4DRQ - Reproduction of Wear Mechanisms in Chute Lining Plates: A Tribological Study Supported by Machine Learning Classification
    Adrián Ricardo Cárdenas Flórez - Instituto Tecnológico Vale, Universidade Federal de Ouro Preto
  • 17:40 - 18:00Oral presentation
    4DT6 - Multi-Scale Insight into Green Lubrication: Coupling ML-driven Molecular Dynamics and Experiments for Bio-derived Additives
    Sophie Loehlé - TotalEnergies
  • 18:00 - 18:20Oral presentation
    4EZC - Data-Centric Investigation of Galling
    KUPELIOGLU, A. - University of Southampton
18:2019:20
18:20 - 19:20
18:20 - 19:20
  • YRT - Forum Young Tribologists - Roundtable Meentoring
19:3021:30
19:30 - 21:30
19:30 - 21:30
  • FYT - Forum Young Tribologists - Evening
09:3010:50
OCEANIA III
09:30 - 10:50
STLE - AI-STLE Artificial Inteligence for Smart Tribology and Lubrication Engineering - Session 03
09:30 - 10:50
  • 09:30 - 09:50Oral presentation
    4DVN - Predicting DLC Coating Wear: Role of Material Descriptors in Deep Learning and Physics-Constrained Models
    Imène Lahouij - École des Mines de Paris
  • 09:50 - 10:10Oral presentation
    4DVS - A Generalised Bearing Fault Diagnosis Model Based on Advanced Signal Processing Techniques and Multimodal Self-Supervised Learning
    Amirmasoud Kiakojouri - University of Southampton
  • 10:10 - 10:30Oral presentation
    4DXP - Simulation and Performance Prediction of Gas Foil Bearings Using AI-Augmented Models
    SAWICKI, J. T. - Cleveland State University
10:5011:30
10:50 - 11:30
10:50 - 11:30
  • C - Coffee break
11:3012:30
OCEANIA III
11:30 - 12:30
STLE - AI-STLE Artificial Inteligence for Smart Tribology and Lubrication Engineering - Session 04
11:30 - 12:30
  • 11:30 - 11:50Oral presentation
    4DYR - Wear Behavior Characterization through Deep Embedding Clustering
    SIEBERG, P. M. - Universität Duisburg Essen
  • 11:50 - 12:10Oral presentation
    4DZW - Machine-learning-enabled interpretation of tribological deformation patterns in large-scale MD data
    EHRICH, H.J. - Austrian Centre of Competence for Tribology - AC2T research GmbH, Technische Universität Wien
  • 12:10 - 12:30Oral presentation
    4E4C - Enabling AI in Tribology through FAIR Knowledge Graphs
    GARABEDIAN, N. - datin GmbH
12:3014:00
12:30 - 14:00
12:30 - 14:00
  • A - Lunch
12:4013:40
12:40 - 13:40
12:40 - 13:40
  • SL - Sponsor Lecture
14:4016:00
OCEANIA III
14:40 - 16:00
STLE - AI-STLE Artificial Inteligence for Smart Tribology and Lubrication Engineering - Session 05
14:40 - 16:00
  • 15:00 - 15:20Oral presentation
    4E6A - Similarity Mapping and Interpretable Machine Learning Reveal Patterns in Perfluoroalkyl Substances (PFAS) Adsorption Across Surfaces
    NALAM, P. - University at Buffalo
  • 15:20 - 15:40Oral presentation
    4EAA - i-TRIBOMAT: A Global Knowledge and Data Hub for Tribology
    BORRAS, X. - i-TRIBOMAT: The European Tribology Centre
  • 15:40 - 16:00Oral presentation
    4EDP - Tool Wear–Driven Tribological Evolution in Surface Milling of Aluminum using Explainable AI
    KNOBLAUCH, R. - École Nationale Supérieure des Arts et Métiers
16:0016:40
16:00 - 16:40
16:00 - 16:40
  • C - Coffee break
16:4018:00
OCEANIA III
16:40 - 18:00
STLE - AI-STLE Artificial Inteligence for Smart Tribology and Lubrication Engineering - Session 06
16:40 - 18:00
  • 16:40 - 17:00Oral presentation
    4EGG - A Predictive Framework for Friction and Wear of DLC Coatings Using Literature Data
    LAHOUIJ, I. - École des Mines de Paris
  • 17:00 - 17:20Oral presentation
    4EMG - Explainable Machine Learning for Predicting Galling in API Steels from Friction and Mechanical Data
    PRIETO, G. - Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional del Sur
  • 17:20 - 17:40Oral presentation
    4ENK - Predictability and Explicability: an interpretable Deep-Learning model to predict friction from third body morphology
    BOULEFRAKH, K. - Institut national des Science Appliquées de Lyon
  • 17:40 - 18:00Oral presentation
    4EPE - Digital Twins of Lubricated Systems and Their Evolution
    KALIAFETIS, F. - Imperial College London
18:0019:30
18:00 - 19:30
18:00 - 19:30
  • RT - Round table International Cooperation
09:3010:50
OCEANIA III
09:30 - 10:50
STLE - AI-STLE Artificial Inteligence for Smart Tribology and Lubrication Engineering - Session 07
09:30 - 10:50
  • 09:40 - 10:10Invited Speaker
    4FBA - High-Throughput Testing & Machine Learning Based Discovery of Novel Alloys
    CURRY, J.F. - Sandia National Laboratories
  • 10:10 - 10:30Oral presentation
    4EQ6 - Semantically Grounded AI for Tribological Creativity on Demand
    GARABEDIAN, N. - datin GmbH
  • 10:30 - 10:50Oral presentation
    4ERF - Machine Learning-Based Prediction of Tribological Behavior in In-Situ Reinforced NbC-Fe Metal Matrix Composites
    SOUZA, E. M. - Universidade Federal de Santa Catarina
10:5011:30
10:50 - 11:30
10:50 - 11:30
  • C - Coffee break
11:3012:30
OCEANIA III
11:30 - 12:30
STLE - AI-STLE Artificial Inteligence for Smart Tribology and Lubrication Engineering - Session 08
11:30 - 12:30
  • 11:30 - 11:50Oral presentation
    4ESB - Artificial Intelligence for Image-Based Monitoring and Prediction of Cutting Tool Coating Wear
    DIENWIEBEL, M. - Microtribology Centre
  • 11:50 - 12:10Oral presentation
    4EXC - Machine Learning-Based Feature Engineering for Mixed Friction Detection in Journal Bearings Using Acoustic Emission.
    KLINGHART, B. - MSE - RWTH Aachen University
  • 12:10 - 12:30Oral presentation
    4EYZ - Advancing Lubricant Design with Machine-Learning-Informed Molecular Dynamics
    RIGHI, M. C. - Università di Bologna
12:3014:00
12:30 - 14:00
12:30 - 14:00
  • A - Lunch
12:4013:40
12:40 - 13:40
12:40 - 13:40
  • SL - Sponsor Lecture
16:0016:40
16:00 - 16:40
16:00 - 16:40
  • C - Coffee break
19:3022:30
19:30 - 22:30
19:30 - 22:30
  • GD - Gala Dinner
10:5011:30
10:50 - 11:30
10:50 - 11:30
  • C - Coffee break
12:3014:00
12:30 - 14:00
12:30 - 14:00
  • A - Lunch
12:4013:40
12:40 - 13:40
12:40 - 13:40
  • SL - Sponsor Lecture
16:0016:40
16:00 - 16:40
16:00 - 16:40
  • C - Coffee break
16:0016:40
America
16:00 - 16:40
Session
Poster Session 06
Poster Session 06
16:00 - 16:40
  • 4DRM - Predicting tribocorrosion behavior of stainless steels using Machine Learning
    Kaouthar BOUGUERRA - Centre Technique des Industries Mécaniques
    Track: 13 - AI-STLE - Artificial Intelligence for Smart Tribology and Lubrication Engineering
  • 4E4Z - Use of neural networks for the prediction of viscosity in extreme pressure andshear rate operating conditions
    SANTOS, G. - Laboratoire de Mécanique des Contacts et des Structures
    Track: 13 - AI-STLE - Artificial Intelligence for Smart Tribology and Lubrication Engineering
  • 4EHF - AI-driven prediction of scratch responses in carbide-reinforced martensitic steel
    MACHADO, I. F. - Universidade de São Paulo
    Track: 13 - AI-STLE - Artificial Intelligence for Smart Tribology and Lubrication Engineering
10:5011:30
10:50 - 11:30
10:50 - 11:30
  • C - Coffee break
12:3014:00
12:30 - 14:00
12:30 - 14:00
  • A - Lunch
12:4013:40
12:40 - 13:40
12:40 - 13:40
  • SL - Sponsor Lecture
16:3016:45
16:30 - 16:45
16:30 - 16:45
  • ASME - 2026 ASME International Mayo D. Hersey Award Ceremony
16:4517:30
16:45 - 17:30
16:45 - 17:30
  • CS - Closing Session & Awards