American Univesity of Beirut

Creating a Better Future through Meaningful Research and Engaging with the Society



Students have started meeting with their respective advisors and working on their research projects that cover different areas of gender and artificial intelligence. One of the MEPI LiDS scholars, Samer Abdelrahim (Lebanon), who is currently working on Heavy Metal Contamination in Soils and Food Crops – Detection and Assessm​ent Using Machine Learning Algorithms Based on Hyperspectral Images, says “As part of this research project, I am developing and implementing machine learning algorithms for the aim of detection, classification, and prediction of heavy metal contamination in soil. I extremely excited to be involved in a project that allows me to be part of the mitigating process, in addition to developing extensive skills in the innovative and leading fields of machine learning and data science."

At the beginning of the Fall semester, graduate students took part in the Introduction to the Civic Leadership Development Sequence meeting. Following the meeting, teams were formed based on areas of interest and geographical location of interest. The size of teams ranges from two to five scholars. Six teams were formed (Gender, Social Cohesion, Protection, Public Health, Environmental Sustainability and Education). Following the team formation, students received a situational analysis and problematic training that ensued in team situational analysis plans. Following feedback from the CCECS, teams are embarking on their data collection for their situational analysis. Data collected will help students in refining their themes and identifying their problematic, their partners and mentors.

Moreover, AUB is currently preparing to welcome a new cohort under the MEPI TLG program for the 2021-2022 Academic Year. Applications are now closed and are under processed. The new cohort will consist of 30 students from different nationalities, all under the Leaders in Data Sciences (LiDS) MEPI TLG program. We are excited to welcome this new cohort of students soon, and look forward to safely meeting all students on campus in the future.

Dalia Mosleh (Lebanon) on her research project:

“My name is Dalia Mosleh, I am an Electrical and Computer Engineering graduate student, currently working on a research topic in Artificial Intelligence and Machine learning for Humanity's Well Being under the supervision of Professor Awad Mariette. This is a so much of interest to me as my aim from the beginning when I applied to MEPI scholarship was to work on a project which uses technology for the benefit of humankind. We are applying machine learning methodologies in healthcare and agriculture areas. I am most enjoying the programming section in this project where we are studying and writing the algorithms for the models to be built. I am looking forward to being able of applying these models for serving the society and improving people's lives.“

Maha Weiss(Syria) on her CAP project:

“Working on CAP project allows me to speak out loud about what I believe in regarding gender issues in our community and gives me a chance to do something to contribute to minimizing violence against women and increasing the awareness about their rights. Personally, I think, being in a team that each of us has her own perspective of viewing such issues is really beneficial, where we practice accepting different opinions and ways of thinking."

Samer Abdelrahim (Lebanon) on his research project:

“Heavy metal pollution is a serious global environmental problem, in which huge research efforts are being put to reduce the risks posed by this problem on humans, plants, and animals. As part of this research project, I am developing and implementing machine learning algorithms for the aim of detection, classification, and prediction of heavy metal contamination in soil. I extremely excited to be involved in a project that allows me to be part of the mitigating process, in addition to developing extensive skills in the innovative and leading fields of machine learning and data science." 

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