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Tuesday, Jun 10th
8:30 AM – 9:45 AM MT
Advanced Technologies, ML and AI
Room: TBD
Machine Learning & AI Applications in Pavements
Tuesday, Jun 10th
1:30 PM – 2:45 PM MT
Pavements: Machine Learning and AI Applications
Room: TBD
Machine Learning & AI Applications in Pavements
Tuesday, Jun 10th
1:45 PM – 2:00 PM MT
Machine Learning and Artificial Intelligence Integration into Pavement Engineering
Primary Author: Paul Mutalya, Msc Civil Engineering Student Liverpool John Moore University (he/him/his) – Former Uganda National Roads Authority
Co-Author: Diana Mirembe, R. ENG – Uganda National Roads Authority
Submitter: Paul Mutalya, Msc Civil Engineering Student Liverpool John Moore University (he/him/his) – Former Uganda National Roads Authority
Machine Learning & AI Applications in Pavements
Tuesday, Jun 10th
2:00 PM – 2:15 PM MT
Automatic pavement maintenance predictions using language and machine learning models.
Primary Author: Kunle S. Oguntoye – Iowa State University
Co-Author: Halil Ceylan, NA (he/him/his) – Iowa State University
Co-Author: Sunghwan kim, NA – Iowa State University
Co-Author: Berk Gulmezoglu, n/a – Iowa State University of Science and Technology
Co-Author: Mo Yunjeong (she/her/hers) – Iowa State University of Science and Technology
Submitter: Kunle S. Oguntoye – Iowa State University
Co-Author: Md Abdullah All Sourav, n/a – Iowa State University
Machine Learning & AI Applications in Pavements
Tuesday, Jun 10th
2:00 PM – 2:15 PM MT
Towards Climate-Resilient Pavements: Predicting Pavement Deterioration Under Future Climate
Primary Author: Wei Sun, PhD (he/him/his) – AIWaysion
Co-Author: Mohamed Elshaer, PhD, PE, M.ASCE – University of New Hampshire
Submitter: Wei Sun, PhD (he/him/his) – AIWaysion
Machine Learning & AI Applications in Pavements
Tuesday, Jun 10th
2:15 PM – 2:30 PM MT
Efficient Prediction of Asphalt Concrete Mix Design Based on Performance Tests
Primary Author: Hong Lang, PhD (he/him/his) – University of Illinois Urbana-Champaign
Presenter: Hong Lang, PhD (he/him/his) – University of Illinois Urbana-Champaign
Co-Author: Imad L. Al-Qadi, n/a – University of Illinois Urbana-Champaign
Submitter: Hong Lang, PhD (he/him/his) – University of Illinois Urbana-Champaign
Machine Learning & AI Applications in Pavements
Tuesday, Jun 10th
2:15 PM – 2:30 PM MT
PaveCLIP: Automated Detection and Localization of Pavement Distresses Using CLIP and GPS Integration
Primary Author: Mark Amo-Boateng, PhD – University of Missouri
Submitter: Mark Amo-Boateng, PhD – University of Missouri
Machine Learning & AI Applications in Pavements
Tuesday, Jun 10th
4:45 PM – 6:00 PM MT
A Framework for Digitization of Asphalt Mix EPD Data using Python-Based Web Data Extraction
Primary Author: Simran Regmi, B.E. – Oklahoma State University
Presenter: Simran Regmi, B.E. – Oklahoma State University
Co-Author: Bibek Parajuli, B.E. – Oklahoma State University
Co-Author: Debakanta Mishra, Ph.D., PE (he/him/his) – Oklahoma State University
Submitter: Debakanta Mishra, Ph.D., PE (he/him/his) – Oklahoma State University
Machine Learning & AI Applications in Pavements
Tuesday, Jun 10th
4:45 PM – 6:00 PM MT
A Hybrid Wavelet-Vision Transformer Model for Smartphone Sensor-Based Pavement Distress Detection
Primary Author: Mark Amo-Boateng, PhD – University of Missouri
Co-Author: Yaw Adu-Gyamfi, n/a – University of Missouri-Columbia
Submitter: Mark Amo-Boateng, PhD – University of Missouri
Machine Learning & AI Applications in Pavements
Tuesday, Jun 10th
4:45 PM – 6:00 PM MT
A Method for Preliminary Prediction of Asphalt Mixture Permanent Deformation Test Results
Primary Author: Wangyu Ma, PhD, PE – The Transtec Group
Presenter: Wangyu Ma, PhD, PE – The Transtec Group
Submitter: Wangyu Ma, PhD, PE – The Transtec Group
Machine Learning & AI Applications in Pavements
Tuesday, Jun 10th
4:45 PM – 6:00 PM MT
A Two-Stage Machine Learning Framework for Pavement Asset Management
Presenter: Mohammad Safaritaherkhani, MS – UMD
Co-Author: Narjes Shayesteh, n/a – University of Maryland
Primary Author: Kaveh Farokhi Sadabadi, n/a – Center for Advanced Transportation Technology (CATT), University of Maryland College Park
Co-Author: Kaveh Farokhi Sadabadi, n/a – Center for Advanced Transportation Technology (CATT), University of Maryland College Park
Submitter: Mohammad Safaritaherkhani, MS – UMD
Machine Learning & AI Applications in Pavements
Tuesday, Jun 10th
4:45 PM – 6:00 PM MT
AI-Driven Pavement Condition Assessment for Municipalities Using Computer Vision
Co-Author: Vivek Reddy Kuppi Reddy, n/a – Rubistone Technologies LLC
Primary Author: Surya Teja Swarna, n/a – Rowan University
Co-Author: Naga Lakshmi Chittitalli Ravuri, n/a – Rowan University
Co-Author: Parth Bhavsar, n/a – Kennesaw State University
Co-Author: Yusuf A. Mehta, n/a – Rowan University
Submitter: Surya Teja Swarna, n/a – Rowan University
Machine Learning & AI Applications in Pavements
Tuesday, Jun 10th
4:45 PM – 6:00 PM MT
Comparative Analysis of Parametric & Non-parametric ML Models for Pavement Deterioration Prediction
Primary Author: Mona Nobakht, PhD, PE – Quality Engineering Solutions
Presenter: Mona Nobakht, PhD, PE – Quality Engineering Solutions
Co-Author: Margaret McCormick, n/a – City of San Diego
Co-Author: Kurt Keifer, PhD, PE – Quality Engineering Solutions
Submitter: Mona Nobakht, PhD, PE – Quality Engineering Solutions
Machine Learning & AI Applications in Pavements
Tuesday, Jun 10th
4:45 PM – 6:00 PM MT
Enhanced Pavement Condition Assessment through Stacking Regressor Techniques
Primary Author: Aakash Gupta, aakash.crri@nic.in – CSIR-Central Road Research Institute
Presenter: Aakash Gupta, aakash.crri@nic.in – CSIR-Central Road Research Institute
Co-Author: Sachin Gowda M K, N/A, sachin08.crri@nic.in – CSIR-Central Road Research Institute(CRRI)
Submitter: Aakash Gupta, aakash.crri@nic.in – CSIR-Central Road Research Institute
Machine Learning & AI Applications in Pavements
Tuesday, Jun 10th
4:45 PM – 6:00 PM MT
Evaluation of Vehicular Emissions in Chittagong City Using Machine Learning Algorithm
Primary Author: SAMIA SHAFIQUE, n/a – CUET
Co-Author: SAMIA SHAFIQUE, n/a – CUET
Submitter: SAMIA SHAFIQUE, n/a – CUET
Machine Learning & AI Applications in Pavements
Tuesday, Jun 10th
4:45 PM – 6:00 PM MT
Intelligent Pavement Monitoring with Real-Time Geolocated Defect Detection on Smartphones
Primary Author: Gabriel Tavares de melo Freitas (he/him/his) – Federal Institute of Ceara
Presenter: Gabriel Tavares de melo Freitas (he/him/his) – Federal Institute of Ceara
Co-Author: Ernesto Nobre, n/a – Federal University of Ceara
Submitter: Gabriel Tavares de melo Freitas (he/him/his) – Federal Institute of Ceara
Machine Learning & AI Applications in Pavements
Tuesday, Jun 10th
4:45 PM – 6:00 PM MT
Leveraging Artificial Intelligence for Enhanced Monitoring of Road Construction Sites
Co-Author: Yahaira Nava Gonzalez, n/a – California State University Los Angeles
Primary Author: Mehran Mazari, PhD – California State Univsrsity Los Angeles
Presenter: Mehran Mazari, PhD – California State Univsrsity Los Angeles
Submitter: Mehran Mazari, PhD – California State Univsrsity Los Angeles
Machine Learning & AI Applications in Pavements
Tuesday, Jun 10th
4:45 PM – 6:00 PM MT
Machine Learning-Based Artificial Neural Networks Faulting Detection Framework for Rigid Pavements
Primary Author: Tanvir Ahmed – The University of Texas at Tyler
Co-Author: Mayzan Isied, PhD – The University of Texas at Tyler
Co-Author: Mena Souliman, Ph.D., P.E., F.IRF. – The University of Texas at Tyler
Submitter: Mayzan Isied, PhD – The University of Texas at Tyler
Machine Learning & AI Applications in Pavements
Tuesday, Jun 10th
4:45 PM – 6:00 PM MT
Predicting Frost Penetration Depth using Recurrent Neural Networks and Worldwide Reanalysis Data
Primary Author: Tavis Sotirin-Miller – Cold Regions Research and Engineering Laboratory, Engineer Research and Development Center, US Army Corps of Engineers
Presenter: Tavis Sotirin-Miller – Cold Regions Research and Engineering Laboratory, Engineer Research and Development Center, US Army Corps of Engineers
Co-Author: Scott Michael M. Slone, n/a – USACE-ERDC
Co-Author: Robert Ibey, n/a – USACE-ERDC
Co-Author: Wade A. Lein, PhD, PE – ERDC/CRREL
Submitter: Tavis Sotirin-Miller – Cold Regions Research and Engineering Laboratory, Engineer Research and Development Center, US Army Corps of Engineers
Machine Learning & AI Applications in Pavements
Tuesday, Jun 10th
4:45 PM – 6:00 PM MT
Prediction of International Roughness Index (IRI) Using Physics-Informed Neural Networks (PINN)
Primary Author: Tanvir Ahmed – The University of Texas at Tyler
Co-Author: Mayzan Isied, PhD – The University of Texas at Tyler
Co-Author: Mena Souliman, Ph.D., P.E., F.IRF. – The University of Texas at Tyler
Submitter: Mayzan Isied, PhD – The University of Texas at Tyler
Machine Learning & AI Applications in Pavements
Tuesday, Jun 10th
4:45 PM – 6:00 PM MT
Predictive Modeling of the International Roughness Index Using Machine Learning Techniques
Co-Author: Sebnem Karahancer, PhD – Isparta University of Applied Sciences
Presenter: Sebnem Karahancer, PhD – Isparta University of Applied Sciences
Primary Author: Ekinhan Eriskin, PhD (he/him/his) – Suleyman Demirel University
Co-Author: Ekinhan Eriskin, PhD (he/him/his) – Suleyman Demirel University
Presenter: Ekinhan Eriskin, PhD (he/him/his) – Suleyman Demirel University
Co-Author: Serdal Terzi, n/a – Suleyman Demirel University
Presenter: Serdal Terzi, n/a – Suleyman Demirel University
Submitter: Sebnem Karahancer, PhD – Isparta University of Applied Sciences
Machine Learning & AI Applications in Pavements
Tuesday, Jun 10th
4:45 PM – 6:00 PM MT
Using Graph Attention Networks for Accurate Pavement Structural Response Prediction
Primary Author: urja Giridharan, BE – University of massachusetts amherst
Presenter: urja Giridharan, BE – University of massachusetts amherst
Co-Author: Egemen Okte, PhD – University of Massachusetts, Amherst
Submitter: urja Giridharan, BE – University of massachusetts amherst
Machine Learning & AI Applications in Pavements
Tuesday, Jun 10th
4:45 PM – 6:00 PM MT
UTILIZING FALLING WEIGHT DEFLECTOMETER DATA FOR ASPHALT PAVEMENT RUTTING PERFORMANCE PREDICTION
Primary Author: Sayla Prova – The University of Texas at Tyler
Co-Author: Mayzan Isied, PhD – The University of Texas at Tyler
Co-Author: Mena Souliman, Ph.D., P.E., F.IRF. – The University of Texas at Tyler
Submitter: Mayzan Isied, PhD – The University of Texas at Tyler
Machine Learning & AI Applications in Pavements
Wednesday, Jun 11th
8:30 AM – 8:45 AM MT
Harnessing AI for Predictive Pavement and Marking Maintenance at Airports
Primary Author: Mark Pittman – Blyncsy, Inc.
Presenter: Adam Freeman – Blyncsy, Inc.
Submitter: Mark Pittman – Blyncsy, Inc.
Machine Learning & AI Applications in Pavements