Mohamed Kafsi
My name is Mohamed Kafsi
I have a passion for solving real-world problems by using Machine Learning, Data and Software
I am an effective and driven technical-executive with more than 12 years of experience (academia and industry, EU and US) in the Big Data, ML and AI ecosystem
I currentely work as a team lead in the Data, Analytics and AI departement of Swisscom (largest telecom operator in Switzerland)
My technical expertise includes ML, AI and software engineering. I also gained significant experience in building and operating large-scale distributed data/ML products
I am very skilled at bridging the gap between engineering and business, and in aligning the technical strategy with business priorities
I have studied at EPFL (PhD in Machine Learning) and Carnegie Mellon University (Pittsburgh, USA)
I have work experiences at
- Swisscom (Data, Analytics and AI department) in Bern, Switzerland
- Yahoo! Labs (Machine Learning group) in San Francisco, USA
- Nokia Research Center (Internet Laboratory) in Helsinki, Finland
- Deutsche Telekom T-labs in Berlin, Germany
Selected Talks
- Data and Machine Learning: A Catalyst for a More Sustainable Behavior? , AI & Industry, Applied Machine Learning Days, EPFL, 2020
- Large-scale Machine Learning for Describing Collective Mobility in Switzerland , AI & Cities, Applied Machine Learning Days, EPFL, 2019
- Understanding Collective Mobility in Switzerland at the Spark summit Europe, Brussels, 2016
- Describing and Understanding Neighborhood Characteristics through Online Social Media, 24th International WWW Conference, Florence, 2015
Blog Publications
Software
Awards
- Winner of the Nokia Mobile Data Challenge Best human mobility predictor
Patents
- Method and System of Generating and Using a Geographical Hierarchy Model US Patent App. 14/445,724, 2016.
Scientific Papers
- Uncovering Latent Behaviors in Ant Colonies, in SDM, 2016 pdf
- Inferring Waypoints without Time Information: Conditional Markov Entropy for Trajectory Segmentation, in IEEE ICDM, 2015
- Mining, Modeling and Predicting Mobility, EPFL, 2015 pdf
- Describing and Understanding Neighborhood Characteristics through Online Social Media, in ACM WWW, 2015
- The Entropy of Conditional Markov Trajectories, in IEEE Transactions on Information Theory, 2013
- Mitigating Epidemics through Mobile Micro-measures, NetMob, 2013
- Where to go from here? Mobility prediction from instantaneous information Pervasive and Mobile Computing Journal, 2013
- Been There, Done That: What Your Mobility Traces Reveal about Your BehaviorInt. Conf. on Pervasive Computing, 2012
- VANET Connectivity Analysis, IEEE Globecom, 2009
Press coverage
- Machine learning and smart city @Swisscom TV interview
- Climathon: data for good @Swisscom TV interview
- Data scientist @Swisscom
- The phone that knows where you're going
- Quand le téléphone mobile prédira nos comportements
- Des étudiants de l'EPFL prédisent les déplacements d'utilisateurs de téléphones mobiles
- Das Handy weiss, wo Sie sein werden
More about me & contact
- Taught about software, coding and machine learning to high school students in Switzerland
- Co-founder and active member of TUNES, association of Tunisians in Switzerland
- Radio reporter for the Swiss radio with interviews broadcasted live
- My LinkedIn profile and Twitter account
- You can contact me at mohamed.mylastname@gmail.com