Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Lamine Dieng

Researcher/Associate Professor

IFSTTAR Département Matériaux et structures

France

Research Interests

Explore related searches

Professors in France

About

Dr. Lamine Dieng is an Associate Professor at IFSTTAR Département Matériaux et structures in France. His research encompasses machine failure forecasting, characterization of materials, driver fatigue detection methodologies, and the analysis of road roughness impacts on driver comfort. His recent publications include a variety of studies on corrosion in aluminum wires, remote sensing methods for ocean litter detection, and the applications of data processing in the transport industry.

Articles (17)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2022

Year:

2022

Collaborators (1)

Sebastien Langlois

Professeur

Université de Sherbrooke

CANADA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Lamine Dieng

Research Interests

Explore related searches

About

Articles (17)

Thermo-mechanical modeling of residual stresses in TIG-welded S355 steel joints

A Subject-Independent Temporal Framework for Behavioural Eye-Based Driver Drowsiness Detection

Influence of Ultrasonic Impact Treatment on the Aging of S355 Welded T-Joints

Prediction of the torsional stiffness of a 24 kV marine power cable

A Proactive Predictive Model for Machine Failure Forecasting

Microstructural and Mechanical Characterization of Corroded Aluminum Wires from ACSR Strand

Development and Characterization of Cladding AISI 304L Stainless Steel on Aluminum

A Multimodal Systematic Review of Drivers’ Fatigue Detection Methodologies, Datasets, and Models

An Integrated Machine Learning-Based Framework for Road Roughness Severity Classification and Predictive Maintenance Planning in Urban Transportation System

Artificial Intelligence for Infrastructure Resilience: Transportation Systems as a Strategic Case for Policy and Practice

Exploring the Hot-Diffusion Bonding of Stainless Steel/Aluminum/Stainless Steel-Clad Plate: Microstructural Insights and Deep Drawing Simulation

Analysis of Road Roughness and Driver Comfort in ‘Long-Haul’ Road Transportation Using Random Forest Approach

4IR Applications in the Transport Industry: Systematic Review of the State of the Art with Respect to Data Collection and Processing Mechanisms

Assessment of the rotational stiffness of single-riveted joints in a steel lattice girder by modal analysis

Comparative Review of Remote Sensing Methods for Ocean Plastic Litter Detection

Degradation of Steel Wires in Bimetallic Aluminum–Steel Conductors Exposed to Severe Corrosion Conditions

Friction Properties at the Contact Interfaces of Overhead Line Aluminium Conductors

Collaborators (1)

Sebastien Langlois

Make your next move.