Djallel Bouneffouf has worked for many years in the field of online machine learning, with a main research
interest in building autonomous systems that can learn to be competent in uncertain environments. Dr. Djallel
Bouneffouf conducted his research in both public and private sector. He spent 5 years at Nomalys, a Mobile
App Development Company (Paris, France), where he developed the first risk-aware recommender system,
one year at Orange labs (Lannion, France), where he proposed to model active learning as a contextual
bandit, 2 years at the BC Cancer Agency (Vancouver, Canada), where he came up with a very fast clustering algorithm helping the biologist analyzing all the collected and unstructured data and during his 6 years at IBM (USA and Ireland) he proposed the first reinforcement learning model that can mimic a different brain disorder and proposed a novel model of attention based on multi-armed bandit algorithm. According to Google Scholar, Dr. Djallel Bouneffouf is the 10th most cited scientist in his field, he has more than 100 publications published in top-tier conferences, has over 2000 citations, and has served as a PC in more than 20 conferences.