Hind Lamharhar
National Institute of Statistics and Applied Economics (INSEA), Morocco
Biography :
Hind Lamharhar is a professor of Artificial Intelligence (AI)
specializing in knowledge-based systems (KB), machine learning (ML), deep
learning (DL), natural language processing (NLP), and large language models
(LLMs). With over two decades of experience spanning higher education and industry, she has developed robust
theoretical and practical expertise. She has co-advised doctorate students and
taught diverse profiles, including master's and engineering graduates, at
renowned institutions such as INSEA (Institute of Statistics and Applied
Economics), HighTech (School of Engineering and Management), Mohammadia School
of Engineering, and Mohamed V University. Her teaching combines traditional,
online, and hybrid methods, often with custom- designed course materials.
As a senior data and NLP engineer at Morocco’s Ministry of Economy
and Finance, Hind drives AI initiatives in fraud detection, business
intelligence, data analytics, and MLOps (Machine Learning Operations). She develops and deploys advanced
ML, DL, NLP, and LLM models to enhance fraud detection in customs declarations. Hind plays a pivotal role in the
Decision Support System team, contributing to projects in risk management,
selectivity, foreign trade, and customs economic regimes. She oversees the full
data pipeline, from extraction and preprocessing to model deployment and production monitoring,
delivering actionable insights for decision-making.
Her unique blend of academic and industry expertise enhances her
teaching and research, equipping students with hands-on AI and (ML/LLM)Ops skills.
Recognized for her innovative contributions, Hind’s work has been featured in
publications, conferences, and applied AI projects, establishing her as a
leader in AI education and implementation.
