Mrs. Hajar HAMMOUCH | Artificial Intelligence | Women Researcher Award

Telecom SudParis / ENSIAS, France

Professional Profiles:

👨‍🎓 Bio Summary:

Mrs. Hajar Hammouch is an emerging researcher specializing in the application of advanced Artificial Intelligence (AI) in smart agriculture and healthcare technologies. With a diverse educational background spanning industrial engineering, management, and AI, she is dedicated to using technology to address global challenges. Hajar has international experience, having pursued studies and professional work in Morocco and France, contributing to the fields of quality management, AI-driven solutions, and sustainable agriculture.

🎓 Educational Background:

Hajar holds an Engineering degree in Industrial Engineering from the National School of Applied Science, Fes, Morocco (2010-2015). She later earned a double Master’s degree in Management from the ISCAE Group & Lille University, France (2015-2017), where she developed expertise in international management, focusing on strategy, marketing, and logistics. Currently, she is pursuing a Ph.D. at Télécom SudParis – Institute Polytechnique of Paris (2020-2023, expected), working on the application of Artificial Intelligence models for optimizing irrigation using sensor data and satellite images.

🔍 Research Focus:

Hajar’s research is centered on the use of AI and machine learning to improve precision agriculture, particularly in the management of irrigation systems. Her work aims to enhance sustainability in farming through data-driven methods, utilizing sensor and satellite technologies. Additionally, she has contributed to healthcare by applying handwriting analysis to assist individuals with pathologies, showcasing her versatility in using AI to solve real-world problems across industries.

🏆 Honors & Awards:

Though early in her academic career, Hajar has already made significant strides in research, contributing to AI-driven innovations in agriculture and healthcare. She has also been a member of the HACCP team, working on quality certification processes for the food industry, further demonstrating her dedication to excellence in both scientific research and practical applications.

💼 Professional Experience:

Hajar has served as a Quality Manager at SIMAPA in Fes, Morocco (2017-2020), where she was responsible for ensuring the sanitary safety of products such as olive oil and capers. She played a key role in responding to customer needs and contributed to the HACCP quality certification team. During her time at Télécom SudParis, she also worked on a project focused on automatic handwriting analysis, applying AI techniques to assist people with health challenges, reflecting her diverse experience in both the private and academic sectors.

📚 Top Noted Publications :

Title: GT&I GAN: A Generative Adversarial Network for Data Augmentation in Regression and Segmentation Tasks
Authors: H. Hammouch, S. Mohapatra, M. El-Yacoubi, H. Qin, H. Berbia
Citation: International Conference on Human System Interaction (HSI), 2024
Index: Article in Press
Year: 2024

Title: A Systematic Review and Meta-Analysis of Intelligent Irrigation Systems
Authors: H. Hammouch, M. El-Yacoubi, H. Qin, H. Berbia
Citation: IEEE Access
Index: Open Access Article
Year: 2024

Title: GANSet – Generating Annotated Datasets using Generative Adversarial Networks
Authors: H. Hammouch, S. Mohapatra, M. El-Yacoubi, P. Mader, M. Chikhaoui
Citation: Proceedings of the International Conference on Cyber-Physical Social Intelligence (ICCSI), 2022, pp. 615–620
Index: Conference Paper
Year: 2022

Title: Controlling the Quality of GAN-Based Generated Images for Prediction Tasks
Authors: H. Hammouch, M. El-Yacoubi, H. Qin, H. Berbia, M. Chikhaoui
Citation: Lecture Notes in Computer Science (LNCS), Volume 13363, pp. 121–133
Index: Conference Paper
Year: 2022

Title: A Two-Stage Deep Convolutional Generative Adversarial Network-Based Data Augmentation Scheme for Agriculture Image Regression Tasks
Authors: H. Hammouch, M. El-Yacoubi, H. Qin, H. Berbia, M. Chikhaoui
Citation: 2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)
Index: Conference Paper
Year: 2021

Conclusion:

Hajar Hammouch has significant strengths that make her a strong candidate for the Research for Women Researcher Award, particularly her interdisciplinary research in AI-driven smart agriculture, her international background, and her work in healthcare applications of AI. However, to fully align with the expectations of a prestigious research award, she would benefit from increasing her academic output (e.g., publications) and expanding the scope of her research to demonstrate a broader impact on global challenges. Overall, she shows great promise as an emerging researcher with a unique combination of skills and experiences.