Project Brochure |  

ARMINES is a non-profit organization created in accordance with the 1901 law and covered by the law of 18 April 2006, enabling public higher educational and research establishments to entrust their contractual research activities to private organizations. ARMINES has a contract-based relationship with its partner schools, which include the network of engineering schools overseen by the Department of Industry (Mines Paris Tech, Saint-Étienne, Douai, Alès, Nantes and Albi-Carmaux). With a total turnover of more than ¤47 million, ARMINES has held on to the top spot amongst the private contract research institutions affiliated to higher education establishments. ARMINES is also a member of EIRMA (European Industrial Research Management Association), EARTO (European Association of Research and Technology Organisations) and EARMA (European Association of Research Managers and Administrators). ARMINES will be represented in HELICoiD project by the Robotics Laboratory (CAOR) of ARMINES and Mines-ParisTech. The latter is one of the most prestigious and selective Grande Ecole in the French system of Education, which has formed lots of current CEO of large companies such as Renault, Airbus, PSA, Lafarge, Sagem, Thalès, Total etc.
Ecole Nationale Supérieure des Mines de Paris (ENSMP) is one of the most prestigious Grande Ecole in the French system of Education. It has only 370 students (90 + 140 +140) with a high selection rate, for a total of 1027 personnel, with 253 researchers and professors and 380 PhD students. ENSMP has two Nobel price laureates: M. Allais – Economy – 1988, and G. Charpak – Physics – 1992.

Previous experience: In terms of EU contracts, 2011 was notable for the continuation of the 7th Framework Programme, with 17 new contracts registered over the year for a total of ¤5.7 million. Three European Research Council grants were received. The Robotics Lab (CAOR) has been conducting many research projects in the field of computer vision and pattern recognition, particularly in robotics, since 1990, including EU projects REACT and COM2REACT. CAOR has been 3 times winner of the national ANVAR innovation competition, and about 10 start-ups were founded by researchers or students from CAOR. CAOR is also involved in a number of projects in the medical rehabilitation of hand functions using gesture recognition and virtual reality technologies.

Project Role
ARMINES leads the work package developing the algorithms that will determine the presence or absence of cancer, by applying to hyperspectral images pattern recognition, classification and segmentation techniques.

Project Staff

Dr. Bogdan Stanciulescu is a senior researcher at ARMINES. He has a university degree (BSc) in applied physics from the University of Bucharest, a MSc in Electronics from the same university, and a doctoral thesis in computer vision. His thesis is on extracting physical models from the image analysis and synthesis co-evolution, from the “Ecole Nationale Supérieure de Techniques Avancées de Paris”, France. He is currently researcher with the Robotics Laboratory with a special focusing on the image analysis for object and pattern recognition. Dr. Stanciulescu is also the coordinator of a number of national and industrial research projects and he will be the person in charge for research and technological aspects for ARMINES for HELICoiD. His research interests include computer vision and pattern recognition, machine learning for image classification, and stochastic algorithms.
Associate Prof. Fabien Moutarde graduated at Ecole Polytechnique in 1987, and got a PhD in Physics at Paris VII university in 1991. After several years as a research engineer at Alcatel-Alsthom central research lab, he is currently associate professor at the Robotics laboratory, where he conducts research on various applications of machine learning algorithms, particularly in real-time vision and video analysis, and in 3D vision.  

B Ravi Kiran is a Post-Doc at ARMINES, in the Centre of Robotics (CAOR), Ecoles Des Mines. He has finished his thesis in computer science, specializing in the area of mathematical morphology, image segmentation and optimization theory. He obtained his PhD in October 2014, in A3SI group under Laboratoire d'Informatique Gaspard Monge (LIGM) under Universite Paris-Est. The thesis describes a mathematical model and algorithms to extract an optimal segmentation from segmentation hierarchies of gray scale and color images. His research interests include, Multivariate image analysis, computer vision, statistical machine learning and optimization theory.