Meet our experts

Dr Sara El Mekkaoui

Senior AI Research Scientist

Dr El Mekkaoui has a strong background in machine learning especially within the maritime industry and has extensive experience in shipping and logistics. She is passionate about leveraging advanced technologies to solve complex, real-world problems and enhance safety and efficiency.

About Dr El Mekkaoui

Dr El Mekkaoui’s work revolves around developing and deploying machine learning models for safety-critical systems. 

Her focus is on advanced uncertainty quantification techniques to support informed decision-making. Her responsibilities include using hybrid physics and machine learning models, natural language processing and computer vision. Her work has a significant impact on the development of trustworthy and reliable systems that support informed decision-making and promote innovation across various industries. 

Sara's expertise lies in integrating advanced AI with practical applications, positioning her as an expert in leveraging AI for complex challenges. Her expertise includes applying advanced machine learning techniques to optimize port operations and enhance maritime traffic management, model evaluation and data preprocessing techniques. In addition to her AI expertise, Sara holds an industrial engineering degree and has extensive experience in shipping and logistics across various industries. Her work has a significant impact on enabling industries to leverage advanced technologies in a trustworthy and reliable manner that support informed decision-making and promote innovation across various industries.

 

Get to know all of DNV's Digital Trust experts

Dr Sara El Mekkaoui

My motivation to work with AI and digital trust comes from my passion for leveraging advanced technologies to solve complex, real-world problems and enhance safety and efficiency. By integrating AI with practical applications, I am driven to create trustworthy and reliable systems that support informed decision-making and promote innovation across various industries.

  • Dr Sara El Mekkaoui

 

Abeyrathna, K.D., El Mekkaoui, S., Edward, L.Y., Hafver, A. and Granmo, O.C., 2023. Extension of Regression Tsetlin Machine for Interpretable Uncertainty Assessment. International Joint Conference on Rules and Reasoning.

 

El Mekkaoui, S., Ferreira, C.J., Gómez, J.C.G., Agrell, C., Vaughan, N.J. and Heggen, H.O., 2023. Neural Networks based Conformal Prediction for Pipeline Structural Response. Conformal and Probabilistic Prediction with Applications. 

 

El Mekkaoui, S., Benabbou, L., Caron, S. and Berrado, A., 2023. Deep learning-based ship speed prediction for intelligent maritime traffic management. Journal of Marine Science and Engineering. 

 

El Mekkaoui, S., Benabbou, L. and Berrado, A., 2023. Deep learning models for vessel’s ETA prediction: bulk ports perspective. Flexible Services and Manufacturing Journal. 

 

El Mekkaoui, S., Benabbou, L. and Berrado, A., 2022. Machine learning models for efficient port terminal operations: Case of vessels’ arrival times prediction. IFAC-PapersOnLine. 

 

See full overview of papers and publications on Google Scholar. 

 

Mila - Quebec AI Institute 

Visiting researcher

OCP Group 

Senior Analyst Shipping & Logistics - Phosphates & Chemicals

COSUMAR Group 

Purchasing & Procurement Engineer - Sugar Industry

Ecole Mohammadia d’Ingénieurs 

PhD, Applied Machine Learning

Ecole Mohammadia d’Ingénieurs 

Master of Engineering, Industrial Engineering