Professor researcher, Université Internationale de Rabat, Morocco
Bassma Guermah is an Assistant Professor at the International University of Rabat, specializing in computer science. She earned her PhD in Computer Science from the National Institute of Posts and Telecommunications (INPT) in 2018. With extensive teaching experience at multiple institutions, she has contributed to research in fields such as deep learning, spatio-temporal forecasting, and air pollution monitoring. Bassma has published in high-impact journals, including IEEE Access. She’s actively involved in projects like OptEV and i-RESPIRE, and serves as the Deputy General Secretary of AMAN Association. Her dedication to education is evident in her roles as coordinator and club referent at UIR. 📚🌍🌱
Orcid
Education
Mrs. Bassma Guermah holds a PhD in Computer Science from the National Institute of Posts and Telecommunications (INPT), awarded in 2018. She also earned an Engineering degree in Computer Science from the National Institute of Statistics and Applied Economics (INSEA) in 2014. Her academic background reflects a strong foundation in both theoretical and practical aspects of computer science, laying the groundwork for her successful academic and professional career. With a focus on innovation and research, Bassma continues to contribute to the fields of technology and data science. 🔍💻
Academic Experience
Mrs. Bassma Guermah has a rich academic experience spanning various prestigious institutions. Since 2019, she has served as an Assistant Professor at the International University of Rabat, contributing to the academic growth of students. Prior to this, she was a Temporary Teacher at both the National Institute of Statistics and Applied Economics (INSEA) from 2016 to 2019 and the International University of Rabat from 2015 to 2019. Additionally, she taught at the National Institute of Posts and Telecommunications (INPT) from 2014 to 2015. Her dedication to education and research continues to inspire her students. 📚👩🏫
Non-Academic Experience
Mrs. Bassma Guermah has gained valuable non-academic experience during her career. She worked as a Postdoctoral Researcher at the International University of Rabat, where she developed a Web Geographic Information System to visualize air pollution in Morocco, particularly in Rabat-Sale and Temara. Her tenure lasted from March 2019 to January 2021. Additionally, she worked as a Freelancer Consultant at DigiUP from 2016 to 2019, where she was involved in creating IT solutions, from the modeling phase to the implementation of systems. 💻🌱
Honors and Awards
In recognition of her exceptional academic achievements, Mrs. Bassma Guermah was honored with the prestigious “Best End-of-Study Project Award” by the Popular Bank in 2015. This award highlighted her outstanding work and dedication during her studies, marking a significant milestone in her academic journey. The recognition not only affirmed her expertise but also underscored her potential to contribute meaningfully to the field of computer science. This award continues to inspire her pursuit of excellence in both academic and professional endeavors. 🎉💡
Research Focus
Mrs. Bassma Guermah’s research primarily focuses on computer science, machine learning, GNSS (Global Navigation Satellite Systems), and context-aware systems. She has contributed to urban air pollution monitoring systems, vehicle localization in challenging environments, and chronic kidney disease prediction using context ontology and support vector machines (SVM). Her work also explores signal classification and multipath error estimation for GNSS positioning in urban areas. Additionally, she investigates the integration of machine learning with context-aware systems for improved data analysis and decision-making in various applications. 🌐📊🔍
Publication Top Notes
- How can reasoning improve ontology-based context-aware system? (2020) | Cited by: 20+ 📚
- Moreair: A low-cost urban air pollution monitoring system (2020) | Cited by: 15+ 🌍
- A Robust GNSS LOS/Multipath Signal Classifier based on the Fusion of Information and Machine Learning for Intelligent Transportation Systems (2018) | Cited by: 10+ 🚗
- GNSS Positioning Enhancement Based on NLOS Multipath Biases Estimation Using Gaussian Mixture Noise (2018) | Cited by: 8+ 📡
- Improving vehicle localization in hard environments using GNSS-GSM hybridization and Gaussian mixture noise (2018) | Cited by: 7+ 🚙
- Support vector machines for improving vehicle localization in urban canyons (2018) | Cited by: 12+ 🏙️
- Using context ontology and linear SVM for chronic kidney disease prediction (2018) | Cited by: 5+ 🧠
- A comparative performance analysis of position estimation algorithms for GNSS localization in urban areas (2017) | Cited by: 9+ 🌐
- A map-matching based approach to compute and modelize NLOS and multipath errors for GNSS positioning in hard areas (2017) | Cited by: 6+ 📊
- Fuzzy logic approach for GNSS signal classification using RHCP And LHCP antennas (2017) | Cited by: 4+ 📍