Rilem 2022 Palermo - Cluster F annual meetingRilem 2022 Palermo - Cluster F annual meeting
The Workshop will focus on the application of the novel machine learning for the investigation of bituminous materials.
The event is supported by the Associazione Nazionale Costruttori Edili – ANCE
CHAIRS:
Dr. Gaspare Giancontieri, Dr. Chiara Mignini
University of Palermo
The International Workshop – “Machine learning and bituminous materials” will be kindly hosted by the Local Association of Building Contractors “ANCE – Palermo Associazione Costruttori Edili ed Affini di Palermo e Provincia“, Conference Hall “Francesco Florio”, Salita Santi Romano, 30 o, Foro Italico Umberto I
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Dr. Ramon Botella
Universitat Politècnica de Catalunya, Spain
Ramon Botella is a principal investigator at the Universitat Politècnica de Catalunya – BarcelonaTech. He has spent most of his career studying the mechanical characterization methods for asphalt materials for pavements.
Dr. Nicola Baldo
Università di Udine, Italy
Nicola Baldo received his M.Sc. in Civil Engineering from University of Padova in 2000 and his Ph.D. from Polytechnic of Milan in 2006. He has been Guest Researcher at TUDELFT (2007), Post Doctoral Researcher at the University of Padova (2008-2010) and Assistant Professor at the University of Udine (2010-2018). Currently he is Associate Professor at the University of Udine, Polytechnic Department of Engineering and Architecture. His main research interests are focused on the following topics: advanced constitutive modeling of asphalt concretes, predictive modeling of asphalt concrete’s performance by machine learning methods; driver’s behavior study by virtual car driving simulator, road safety analysis. Author and co-author of more than 90 scientific papers, published in conference proceedings, book chapters and indexed international journals. Member of the Italian Road Infrastructure Society (SIIV) since 2003 and of the Italian Traffic and Transportation Engineering Association (AIIT) since 2015.
Dr. Marko Orešković,
University of Belgrade, Serbia
Marko Orešković is Assistant Professor at the Faculty of Civil Engineering, University of Belgrade, Serbia. His primary area of expertise is related to the use of alternative and recycled materials in asphalt mixtures, including their life cycle assessment analysis. Marko is also involved in work of the Pavement Research Laboratory of the same University as a QC/QA engineer. He has been a member of several RILEM Technical Committees, scientific committees of national and international conferences and Serbian standardization bodies.
Dr. Eshan Dave
University of New Hampshire, US
Eshan Dave obtained his M.S. and Ph.D. degrees from University of Illinois at Urbana-Champaign in Civil Engineering in 2003 and 2009 respectively. At present, he is Associate Professor in the Department of Civil and Environmental Engineering at the University of New Hampshire. Eshan’s research interests include performance evaluation of pavements and paving materials, development and implementation of performance-based specifications, resilient design of transportation infrastructure, climate variability impacts on infrastructure longevity, life cycle assessment, and cold regions pavement operability and performance. He is actively involved in the ASTM International, Association of Asphalt Paving Technologists, International Society for Asphalt Pavements, the Transportation Research Board, and RILEM. Eshan is convener for the bituminous materials and polymer cluster of RILEM and Deputy Chair for the TC PAR (Performance-based Asphalt Recycling).
Dr. Martins Zaumanis
Empa, Switzerland
Martins Zaumanis is an asphalt researcher at Empa in Switzerland. His research focus is directed to bringing sustainability to road pavements through recycling, warm mix asphalt, and use of waste materials in asphalt production. He is closely collaborating with road construction companies and road administrations to expedite the adaption of these technologies in practice. Martins is also keen to unravel the hidden potential that scientists have for communicating their research. He has written several books on this topic and is sharing his experience through the blog: http://peerrecognized.com
WELCOME NOTES
Prof. Ilenia Tinnirello
Dr. Ramon Botella
Using Machine Learning to Estimate the Degree of Activation (DoA) of RAP
Dr. Nicola Baldo
Stiffness and Mechanical Properties of Asphalt Concretes: Predictive Modeling by Machine Learning
Dr. Marko Oreskovic
The Use of Dropout Neural Networks for Estimation of Indirect Tensile Strength of RAP Samples
Dr. Eshan Dave
Self-Validating Ensemble Modelling (SVEM) Technique to Reliably use Limited Data for Model Training: Applications to Asphalt Materials and Pavements
Dr. Martins Zaumanis
A Shared Database for Asphalt Test Results: Are You In?