THE LONGER STORY
A life of learning.
AI expert. Researcher. Always a student.
From research to application.
I’m currently an AI Expert at GOSI in Riyadh, bringing advances in generative AI into practice. Previously, I worked on large language models and retrieval-augmented generation at Beyond Limits, machine learning for wireless networks at Ericsson, and automatic content moderation at Besedo.
I’m also the creator of GetBetter, an AI coaching platform for Rocket League. It turns match replays into specific feedback and helps players track their progress.
In September 2020, I earned my PhD in Computer and Data Science at IRIMAS, Université de Haute-Alsace, France. My research focused on deep learning for time series classification, supervised by Germain Forestier, Jonathan Weber, Lhassane Idoumghar, and Pierre-Alain Muller.
I also hold two master’s degrees from 2017: Databases and Artificial Intelligence from Université de Bourgogne in Dijon, and Software Engineering from Université Antonine in Beirut.
At Orange Labs in Sophia Antipolis, my master’s thesis combined machine learning and semantic web data to build a recommendation engine for a dataset exchange platform. My final-year engineering project at TICKET Lab in Beirut explored data privacy using linear programming.
During my PhD, I was the first instructor of the Deep Learning course at ENSISA. My interests span deep learning, natural language processing, computer vision, transformers, and their practical applications.
Visiting researcher
Monash One month visiting François Petitjean at Monash University and discussing time series classification and beyond (2019).
Google One day visiting Neil Zeghidour at Google Brain and discussing deep learning for audio and time series data (2019).
LIP6 One day visiting Jean-Yves at the Sorbonne University and discussing deep learning for time series representation learning (2019).
Welten One day working with Daniele at the Welten Institute on leveraging artificial intelligence techniques for learning analytics (2019).
CARES One day visiting Abhilash at the CARES Lab and discussing surgical data science and robotics (2018).
Teaching
Deep Learning 20 hours for M.Sc. students in Computer Science.
Web Programming 24 hours for engineering students in Computer Science.
Awards
IEEE BigData'18 Student Travel Award for the IEEE International Conference on Big Data 2018 at Seattle, USA.
UAPC'16 First place at the Université Antonine Programming Competition (UAPC) 2016 at Beirut, Lebanon.
UAPC'15 Second place at the Université Antonine Programming Competition (UAPC) 2015 at Beirut, Lebanon.
Grants
Mesocentre of Strasbourg 1.6 million GPU computing hours (2019) on the Strasbourg HPC.
Mesocentre of Strasbourg 1.6 million GPU computing hours (2018) on the Strasbourg HPC.
NVIDIA Corporation GPU Grant Quadro P6000 (2017).
Coursera Financial Aid Deep Learning Speciality (2017).
Certifications
MLAI'19 Attending the International Workshop on Machine Learning & Artificial Intelligence (2019).
PAISS'19 Attending the PRAIRIE Artificial Intelligence Summer School (2019).
FDST'19 Attending the Learning from Data Streams and Time Series (2019).
CARS'19 Attending the International Conference on Computer Assisted Radiology and Surgery (2019).
IEEE BigData'18 Volunteering at the IEEE International Conference on Big Data (2018).
DeepLearn'18 Attending the International Summer School on Deep Learning (2018).
CISCO Completing the CISCO CCNA Routing & Switching (2017).
LCPC'16 Participating at the Lebanese Collegiate Programming Contest (2016).
Boot Camp Participating at the Advanced Programming & Algorithms Boot Camp (2016).
LCPC'15 Participating at the Lebanese Collegiate Programming Contest (2015).
Service
Conference Committees
ORASIS'19 Francophone days of young researchers in computer vision 2019.
EA'19 The 14th Biennial International Conference on Artificial Evolution 2019.
Workshop Committee
AALTD'19 ECML/PKDD Workshop on Advanced Analytics & Learning on Temporal Data.
OR'19 MICCAI Workshop on OR 2.0 Context-Aware Operating Theaters.
Reviewer
ECAI European Conference on Artificial Intelligence 2020.
NEUNET Neural Networks.
IEEE TKDE IEEE Transactions of Knowledge and Data Engineering.
IEEE JBHI IEEE Journal of Biomedical and Health Informatics.
MICCAI International Conference on Medical Image Computing and Computer Assisted Intervention 2019.
IEEE/CAA JAS IEEE/CAA Journal of Automatica Sinica.
AIRE Artificial Intelligence Review.
Open Source Projects
Keras.io The first Keras tutorial on deep learning for time series classification.
sktime-dl An extension package for deep learning with Keras for sktime.