alban.derrien [at] gmail.com
MailClark, Clubble SA – Weréso,
Since January 2018, I’m an R&D engineer in Artificial Intelligence at MailClark. Mailclark offers an innovative solution which allows collaborative management of external communication within Slack. My mission at MailClark is to ensure the success of R&D projects in the domain of Artificial Intelligence. This includes various tasks such as writing funding proposals, building scientific collaborations, writing literature reviews, designing software and implementing algorithms.
During 2017-2018 I was a teacher in computer science in Lycée Arago, Roanne.
From September 2015 to September 2016 I was a Post-Doctoral research fellow (ATER contract) in l’École nationale supérieure d’ingénieurs de Bretagne Sud (ENSIBS) and Laboratoire des Sciences et Techniques de l’Information, de la Communication et de la Connaissance (Lab-STICC) in Lorient. I developed a constraint programming approach with the mathematical team for the construction of LDPC matrices.
I earned my PhD from the university of Nantes in November 2015 under the supervision of Prof. Nicolas Beldiceanu and Dr Thierry Petit. My research focused on scheduling in constraint programming. More specifically, I studied the Cumulative constraint and its reasonings. I was interested in the challenging problem of unification of the different Cumulative’s reasonings. I worked mainly on the Time-Table, Edge-Finding, Extended-Edge-Finding, Time-Table-Edge-Finding and Energetic Reasoning. I proposed a new characterization of those reasoning in a unified manner. I was able to prove the dominance relation between relation, based on this characterization. This showed that it is possible to reduce by a factor 7 the number of interval of interest for the Energetic Reasoning. A direct application gives a reduction by a factor up to 4 in the running time of current state of the art algorithms. This theoretical results have also been used in an application, in which I proposed a robust version the Cumulative constraint.
I obtained a Master’s degree in optimization in operations research in 2012 and a Bachelor’s degree in Computer Science and Mathematics in 2010, from the university of Nantes.