Applied Research Scientist - Bastien Talgorn .fr

Nine years of experience in operations research and engineering design; ... Application of the C++ NOMAD software to the multi-criteria departure ... direct search algorithms (B. Talgorn, S. Le Digabel, M. Kokkolaras) Book chapter in.
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Dr Bastien Talgorn [email protected]

http://bastientalgorn.free.fr https://github.com/bastientalgorn

Applied Research Scientist PROFILE - Nine years of experience in operations research and engineering design; - Proficient in C++, Python, Matlab, Bash, Linux; - Optimization, active learning, statistics, mathematical programing.

WORK EXPERIENCE Postdoctoral Fellow Apr. 2013 to Dec. 2016 - Polytechnique Montréal & McGill University - Multidisciplinary optimization of aircraft wing with Bombardier Aerospace; - Optimization of electrical network with IREQ (Institut de Recherche en Électricité du Québec); - Contributor to the NOMAD software for derivative-free optimization (C++); - Authored the sgtelib library for active learning and surrogate modeling (C++); - Authored the NoHiMDO solver for multidisciplinary optimization (Matlab). Invited Researcher Dec. 2012 to Feb. 2013 - Polytechnique Montréal - Application of the C++ NOMAD software to the multi-criteria departure procedure; - Implementation of dynaTree regression within NOMAD to improve efficiency. Research Engineer in Applied Mathematics and Optimization Sep. 2011 to Nov. 2012 - Altran Sud-Ouest, Methods & Tools for Simulation Dpt. Lecturer 2009 to 2012 - National Institute of Applied Sciences (INSA), Toulouse Probability, stochastic processes and queueing theory, analysis, algebra, signal processing. Engineer & PhD student: One-engine-out takeoff trajectory optimization Dec. 2007 to Apr. 2011 - Airbus, Aircraft Performance Dpt. Internship: Satellite-image quality measurement Mar. to Aug. 2007 - EADS Astrium, Modeling Tools & Simulation Dpt. Internship: Improvement of model of Rolls Royce Trent 900 engine June to Sep. 2006 - Airbus, Engine Performance Department

EDUCATION 2011 - PhD, Airbus & Paul Sabatier University, Toulouse 2007 - Master in Engineering, National Institute of Applied Sciences, Toulouse 2007 - Master in Science (Applied Mathematics), Paul Sabatier University, Toulouse 1 of 2

SKILLS I.T.:

- C++, Python, Matlab, PHP, LaTeX, Bash, Linux; - Object oriented programming, Mathematical programming; - Signal processing, Numerical modeling.

Operation Research:

- Active learning, surrogate modeling, statistics; - Derivative-free optimization, blackbox optimization; - Multidisciplinary optimization.

Languages:

- French: Native speaker; - English: Fluent.

SELECTED PUBLICATIONS —–Patents—– Method and device for determining a takeoff trajectory that allows the maximization of the takeoff weight of an aircraft (B. Talgorn, S. Laporte) Industrial Patent US 20110130896, US8660720, EP2330474, EP2330474. —–Refereed Journals—– Locally weighted regression models for surrogate-assisted design optimization (B. Talgorn, C. Audet, S. Le Digabel, M. Kokkolaras) Accepted with minor modifications in Optimization and Engineering. Compact implementation of non-hierarchical analytical target cascading for coordinating distributed multidisciplinary design optimization problems (B. Talgorn, M. Kokkolaras) To appear in Structural And Multidisciplinary Optimization. Brass instruments design using physics-based sound simulation models and surrogate-assisted derivative-free optimization (R. Tournemenne, J.-F. Petiot, B. Talgorn, M. Kokkolaras, J. Gilbert) Journal of Mechanical Design, 2017, doi: 10.1115/1.4035503. Non-hierarchical analytical target cascading for multidisciplinary optimization with a fixed computational budget (B. Talgorn, M. Kokkolaras, A. DeBlois, P. Piperni) Structural and Multidisciplinary Optimization, 2016, doi: 10.1007/s00158-016-1489-z On power optimization of aircraft electro-thermal anti-icing systems (M. Pourbagian, B. Talgorn, W.G. Habashi, M. Kokkolaras, S. Le Digabel) Optimization and Engineering, 2015, doi: 10.1007/s11081-015-9282-1. Statistical surrogate formulations for simulation-based design optimization (B. Talgorn, S. Le Digabel, M. Kokkolaras) ASME Journal of Mechanical Design, 2015, doi: 10.1115/1.4028756. —–Refereed Book chapters—– Blackbox optimization in engineering design: adaptive statistical surrogates and direct search algorithms (B. Talgorn, S. Le Digabel, M. Kokkolaras) Book chapter in Engineering and Applied Sciences Optimization, Dedicated to the Memory of Professor M.G. Karlaftis, Computational Methods in Applied Sciences 38, ISBN 3319183192, 2015.

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