Benjamin Planche

• Lead cutting-edge research and transfer research results into practical product solutions, including artificial intelligence solutions for medical devices, imaging, diagnosis, and robotics. • Provide technical guidance to research scientists. • Conduct fast prototyping, feasibility studies, specification and implementation of image and video analysis algorithms for product components.

• Conducted research toward more robust vision-based systems, in a multinational context. • Specialized in the training of industrial systems on scarce visual data (images, CAD, etc.). • Contributed to large-scale industrial projects (proposal to prototype). • Investigated, applied to, and conducted governmental projects (MxD, DARPA, USDA-ARS, etc.).

Company-based PhD in Computer Vision and Machine Learning. • Conducts research toward more robust vision-based systems, in a multinational context. • Specialized in the training of industrial systems on constrained data. • Contributed to industrial projects and patent applications, supervised students.

Master's Thesis in collaboration with Siemens Corporate Technology, University of Passau (Germany) and INSA-Lyon (France). • Improved a stream processing architecture for Smart Grids. • Implemented simulation tools for performance assessment.

Developed solutions for the processing and integration of data from multiple sensors for industrial robots • Set up a simulation platform for the sensors. • Implemented image processing algorithms.

Implemented a back-office for large and secure electronic payment flows (PCI-DSS). • Developed batch processing, optimized for large and critical data sets. • Designed tasks to analyse financial flows and detect anomalies. • Involved in the Agile project management.

Prepared and taught science courses to undergraduate students (Mathematics, Physics, …).

Researched and implemented plant patterns learning / recognition algorithms. • Manipulated large image databases. • Mastered probabilistic comparison algorithms.

Immersive internship program (Japan).

• Company-based PhD in Computer Vision and Machine Learning. Topic: “Training visual recognition systems on scarce data” (simulation, domain adaptation, representation learning).

• Summer 2014 - French-German Double Degree, Master 2 Multimedia, Networks, Distributed Systems

• 2010-12 Programming techniques, designing methods – Team & project management. • 2008-10 Undergraduate intensive courses in engineering sciences, in an department focusing on cultural & scientific connections with Asia.

• Autumn 2013 - Erasmus Exchange (Sweden), Master 2 Mobile Media, Distributed Systems, Web Services