CHIEF TECHNOLOGY OFFICER
Pixee Medical, Besançon, France
Management of R&D department (26 people) in charge of: Developing and industrializing new surgical navigation products based on instrumentation and an embedded computer vision and deep learning software solution in augmented reality glasses
Elaboration of technical files according to DM standards to obtain European and American market authorizations (CE and FDA)
Organization of the R&D department and recruitment of 21 employees in software development, computer vision, deep learning, mechanics, regulatory affairs and project management
Technological and competitive monitoring and construction of the R&D roadmap in collaboration with the marketing department Management of industrial property (9 patents in progress) and R&D activities eligible for the company's research/innovation tax credit (CIR/CII) Search for funding (BPI, ANR …) and collaboration with public and private partners
Laureate of the French National Research Agency (ANR) 2021 call for projects MARSurg project 680K€ in collaboration with ISIR Paris and INRIA Rennes laboratories on a markerless multisensors perception solution for surgery Laureate of I-INOV 2019 innovation program, BPI France, AUREO project 1.25M€ on future surgery navigated in mixed reality Worldwide 1st knee replacement surgery performed by a surgical navigation device using augmented reality at APHP Paris
PROFILE
I am an experienced computer vision
engineer with over 10 years of
experience in HW and SW applied to
perception for augmented reality
and robotics products in various
fields including automotive and
medical.
I will be moving to Vancouver for at
least a year at the beginning of the
2Q2023 to improve my English skills
in an evening program at Tamwood
International College. According to
the Canadian government regulation,
I will be allowed to work legally 20h
per week during my stay and I am
very excited about this opportunity
to work for a company in my field.
WORK EXPERIENCES
-
Dec.
2019
COMPUTER SCIENCE
C, C++, Python
Linux, Windows, VxWorks, ROS
Git, OpenCV, TensorFlow, Pytorch,
Qt, PCL, ITK/VTK
Matlab/Simulink, CANalyzer, RTMaps
TECHNICAL LEADER ADAS-AD Camera and Computer Vision Alliance Renault Nissan Mitsubishi, Technocentre Guyancourt, France Technical project manager of the Renault/Prophesee partnership: Responsible for driving the design of innovative solutions for EuroNCAP ADAS features using event-based cameras and machine learning models Accountable for camera and computer vision technology roadmap: Conduct technical hearing of suppliers for camera component sourcing Definition of component requirements for future vehicle lines Designing of ground-truth measurement solutions (360 LiDAR/Camera/IMU) and protocols to benchmark supplier proposals
Management of engineers subcontractor in a multicultural environment: teams in France and India
In-house trainer on computer vision and technologies of driver assistance and autonomous driving
Oct.
2019
Dec.
2016
Camera, LiDAR, RADAR, IMU
NVIDIA plateform, Qualcomm SoC
TECHNOLOGIES
Anthony AGUSTINOS
COMPUTER V I S I ON T E C H N I C A L L E A D E R
SKILLS
Image Processing, Computer Vision,
Machine Learning, Robotics
Sensors Calibration, Fusion, 3D
Reconstruction, Odometry,
Localization, 3D Registration,
Augmented Reality, Medical Imaging
AREA OF EXPERTISE
+33 6 85 11 56 80 *********.*******@*****.*** inkedin.com/in/anthony-agustinos ACTIVITIES
Ultra trail running, hiking,
mountaineering, fishing, Rugby (2
years in Sporting Union Agen
formation center and 5 years in the
Regional selection Committees)
Agustinos, Anthony, et al. "Visual
servoing of a robotic endoscope
holder based on surgical instrument
tracking" 5th IEEE RAS/EMBS
International Conference on
Biomedical Robotics and
Biomechatronics. IEEE,
2014
Agustinos, Anthony, et al. "2D/3D
real-time tracking of surgical
instruments based on endoscopic
image processing" Computer-
Assisted and Robotic Endoscopy.
Springer, Cham,
2015
PUBLICATIONS
RESEARCH ENGINEER in Computer Vision, Image Processing and Robotics TIMC-IMAG Laboratory, CNRS, Grenoble, France
Conceived, implemented, published:
2D/3D real-time localization methods markerless of surgical instruments and fluorescence anatomical structures based on endoscopic image processing
Control laws for robotics endoscope holder and instrument holder using bimodal visual information (laparoscopic/fluorescence) See video here: surgical instrument tracking
Participated in international conferences in Computer Vision and Robotics: MICCAI, BioRob, CARE
Participation in the Hamlyn Centre Summer School at Imperial College London
Responsible for the organization of the GMCAO team seminars Teaching Assistant, Engineering School Polytech’Grenoble: C Programming with Linux courses
Winner of the Endoscopic Vision Challenge, International Conference, MICCAI 2015, Segmentation and Instrument Tracking session Jun.
2016
Oct.
2012
PATENTS
WO2017021654 Device and method for automatically detecting a surgical tool on an image provided by a medical imaging system FR3080075 Method and system for assisting the steering of a vehicle FR3091249 Method and device for determining the position of a vehicle in a traffic lane
FR3078667 Method and system for structured light active vision parking assistance
EDUCATION
PhD. in Robotics and Computer Vision
Grenoble Alpes University, CNRS, Grenoble, France
Topic: Augmented navigation by fluorescence for the laparoscopic surgery robot-assisted
MSc. in Robotics and Computer Science (EEA)
University of Science and Technology, Montpellier, France BSc. in Automatics and Computer Science (EEA)
University of Science and Technology, Montpellier, France Higher School Preparatory Classes Math-physics
Louis Rascol Secondary School, Albi, France
DCS in Electronics Systems
J.B de Baudre Secondary School, Agen, France
2012
2016
2010
2008
2006
WORK EXPERIENCES
Anthony AGUSTINOS
LANGUAGES
(TOEIC 2016: 760)
English
French
Spanish
+33 6 85 11 56 80
*********.*******@*****.***
linkedin.com/in/anthony-agustinos