François Abram, Phd Email & Phone Number

Montreal, Qc, Ca

Montreal, Quebec, Canada

Senior AI/ML Digital imaging project consultantSenior Application Analyst and Developer Digital Image AnalysisDeep learning in the MR signal processing (MSK and Brain Imaging) Neuroimaging digital signal processing expertExpertise and commitment: Biomedical imaging, Advanced MRI Digital imaging analysisAct as the primary liaison amongst cross functional teamsApplying the Agile/Scrum development methodologyAbility to provide mentorship and coachingCharles River Laboratory: As a bio-medical image specialist consultant, I conducted some collaborations on animal projectsArthroLab inc. : Senior Director imaging science and operations consultant - Leading multi-project and team management for R&D clinicals trials researchers and stakeholders.

Montreal

As a Sr. Artificial Intelligence Solution Expert and lead of the AI team in Medical Image, my mission is to find innovative technologies, and implement AI solutions to improve systems and help their development:Implemented semantic segmentation solutions for 2D and 3D CT-scanWorked on 2D and 3D CT-scan landmarkingTrained 2D and 3D registration, solid and elastic modelsDeveloped paired face regionalization with face AI landmarking for fine 3D registrationExplored options for an automatic implant planner from CT-scan images and scalar/discreet information based on classifiersWorked on many proofs of concepts in the medical field

Montreal, Canada Area

Arthrolab inc. is a high-tech bio-medical company involved and committed to excellence in the field of disease modifier osteoarthritis drug (DMOAD) efficacy assessment. The company develops innovative technologies around MRI image analysis to provide in-house high standard services of osteoarthritis marker assessment. Since the beginning statistical models were used in our automated MR image segmentation workflows and for the last 3 years, we stepped forward and introduced convolutional neural network AI technology for better performances.My mission as a Medical Imaging R&D Director is to turn the impossible into possible defining objectives and organizing the work of a team of image processing researchers. I am also involved in the production team as a project manager with close regard on quality ... in general.Director:- Define the principal axis of work for the research and development teams- Validate with the direction- Report to the direction the progression of all the activities in the company- Write all technical and scientific documentationResearch and development:- Project manager for the research team, organize MR image analysis research projects for OA marker extraction, automated or semi-automated systems- Product manager/Scrum master for the development team, followup on software development using AgileProduction:- Management of the production team involved in clinical trials- Planning of the continuous training of the team- Integrate and deploy AI technologies, i.e. convolutional neural networks, using various tool boxes such as MxNet, TensorFlow and Keras in an highly parallel Cuda(nVidia) environementUp to now, these various activities allowed me to conductMore than 7 research and software development projects using an Agile approachMore than 12 clinical studies on disease modifier osteoarthritis drugMore than 4 technical and SOPs audits as well as one full quality plan auditMore than 50 scientific and technological publications

St-Hyacinthe, Quebec, Canada

Research on Assessment of Animal Pain From Facial Expression using AI.Web editor about the activities, the events and the employee/student rewards of the group.

Montreal, Canada Area

MAZ Laboratory was a start-up developing proprietary technologies for distributed real-time home automation simulation systems. The technologies include a development environment using a fully 3D interface. After the development of a prototype, MAZ Laboratory intended to built-up a team to produce a demo in this field. This demo was intended to be presented in congresses and shows to prospect companies and investors.In this context, the mission was:- Design the demo with the direction- Manage the development and IT team of 4 individualsSuccess:An initial evaluation of the work was 2.5 months with a trained team using Agile software development process. The demo was progressively designed and reviewed to be finally delivered within 3 months with documentation. Final tuning was performed in collaboration with the marketing team. The project was canceled because of the financial difficulties of the company.

Montreal, Canada Area

Responsible for 2 courses:- Initiation to Electronics I- Operating Systems I, designed the entire class including the course and the session project- Responsible for two Ph.D. students

Montreal, Canada Area

Formerly A2M game company, renamed Behavior interactive, develops video games for all type of game platform. The objectives of a technical production director are to manage the various technical production departments, e.g integration, sound conception, and test, to deliver outstanding games above to the client's specifications. As a team leader, my mission included handling some human resources tasks in collaboration with the HR department (hiring, firing, annual evaluation). As a department lead, the involvement in the definition, in the deployment of methodologies and in selected director committees is necessary.The mission- Management of the technical production consisting of 3 departments (25 employees overall)- Schedule of video games production, building teams and supervising work in progress- Act within management to enhance communication and organization between departments- Motivate each department involving each employee in a reflection on their objectives as members of the company and on their working methodologiesSuccess:During this lap of time, my teams delivered 3 games in a really short time on all PS1, PS2 (outstanding at this time for the company) and Game Boy Advanced platforms. This challenge was achieved by a total implication in terms of motivation and technical decisions as well as in work schedule and workload.

Montreal, Canada Area

D’nA develops computer graphics tools that address virtual movie production company needs, in this specific case, Taarna Studio. In this context, D’nA produces 2 software, Flesh which includes a modeler and a 3D painter and LifeSource a solution for motion capture issues and shapes motion editing. Added to these two software products, Dn’A develops a face expression capture system NuFace to be connected to LifeSource. The NuFace system includes a physical part, the helmet linked to an arm with a camera at the extremity. This system plugged to a standalone computer through a video capture interface is connected to the system running LifeSource through an internet connection.Mission:The system was partly designed when I entered the project as the lead but many options were to define regarding the camera and the lighting on one hand and on the processing on the other hand:- Realized the system- Supervised the production of the NuFace system (1 employee + 1 partial time resource)- Defined the major research axis and the solution to evaluateThe initial schedule was 7 month. The system has been delivered in a time frame of 9 months. Some specific problems mostly related to the selection of the camera and of the lighting had not been properly evaluated. Since its deployment, NuFace is commonly used in a production context.Mission:Once deployed, some development and integration around the Flesh was my second mission. I had a chance to solve a few crashes in the application and to improve and develop a few basic features.

France

Thales (former Thomson-CSF) is a company involved in defense producing many armed systems, surveillance systems and so on. Two missions challenged me at Thales. The first one as a member of a huge project of driving simulator (tank and plane). A second on a small system of torpedo launcher where a position of team leader was given to me. I had the chance and honor to organize, schedule, revise the technical specifications and conduct the final review, by the customer, of the system along with a review procedure that was written by myself.

Master Of Science (M.Sc.), Image Processing

Specialization, Software Product Management - Agile Manifesto

Agile manifesto: From inception to delivery - Theory - Explanation and details in the context - Case studies from inception to delivery.

Online Certificate, Machine Learning By Prof. Andrew Ng, 93%

Linear regression, Logistic regression Neural networks, Support Vector Machine Error detection

Ph.D., Major In Science Of Engineering; Minor In Image Processing

Digital image segmentation is a challenging problem that is often solved specifically for each kind of image characteristics, signal.

Master Of Science (M.Sc.), Signal Processing

Visiting Year, Computer Science, 2Nd Year Of Graduate Program

Bachelor Of Science (B.Sc.), Computer Science, Automated Systems And Artificial Intelligence

Coursework, Software Product Management, Coursework

Activities and Societies: Prof. Kenny Wang, U. of Alberta