Augustin Cathignol, Ph.D Email & Phone Number

Grenoble, Fr

France

Grenoble, Auvergne-Rhône-Alpes, France

Skilled in both Domains and AI, I contribute to creating and building AI powered solutions for products, processes and services, in the domains of Energy Management, Sustainability, Industrial Automation and Manufacturing.Bridging the gap between domains and AI, with translating domain challenges into AI-driven valuable solutions.Major in :- Reliability and performance related topics such as Prognostics and Health Management, predictive maintenance, Failure prediction- Manufacturing topics : process optimization, predictive quality, smart manufacturing, smart testing and other industry 4.0 topics

France

Trainer at EIA (éthique de l'Intelligence Artificielle)

Evaluator and rapporteur of Research proposals.

France

Teaching System Reliability and Ethics applied to Artificial Intelligence

France

Serving Digital transformation, strategy and innovation for Industry#Data #Data analytics #AI #Digital manufacturing #Industry4.0 #Operations transformation

*Qualification an Reliability Manager*Manage of the Qualification and Reliability Group, for the Defense and Industry markets.The group is in charge of reaching reliability and qualification of technologies and products, developed and manufactured for Defense and Industrial applications, including harsh environments. It acts from the early development stages up to the final qualifications and customer support.*Head of the Digital Factory*Manage the Data Lab (co-founded in 2016) which is in charge of developing valuable solutions thanks to advanced analytics and AI, which solve problems and provide new services for manufacturing and business support functions. More details below.

Grenoble, Auvergne-Rhone-Alpes, France

** Manage the Digital Factory (co-founded in 2016) which is in charge of developing valuable solutions thanks to advanced analytics and AI, that solve problems and provide new services for manufacturing, research and development and business support functions- Manage and lead internal and external data-scientists- Create synergy between data-scientists and field expert for co-development- Drive the process flow from idea, profs of concepts, development, Minimum Viable Products evaluation, up to pre-industrialization, using agile methods- Translate business problems and opporunities into data science solutions and translate solutions back into business insights - Bring technical and none-technical coaching- Build scientific partnership and represent the company at international conferences**Advise and represent LYNRED for digital transformation: roadmap building consistently with global company strategy, and deployment regarding tools, usage, and staffing

Grenoble Area, France

Mission: to reach and attest a competitive reliability level on the infrared detectors developed and manufactured for defense and space applications- Define, plan and execute qualification plans for in-development technologies- Investigate reliability and performance chain from early manufacturing steps up to final product in order to track yield detractors- Evaluate, introduce and set up state-of-art reliability methodologies- Manage the Reliability group, and manage transversal projects- Build scientific partnerships and represent the company at international conferences

***Mission*** : to set and reach a competitive reliability level for the devices developed within CMOS, Flash and Analog/RF programs*Define qualification plans in accordance with customers needs-Identify failure and wear-out mechanisms that threaten the technology/product reliability-Define specifications associated to each mechanism (Oxide -Breakdown, HCI, NBTI, Disturbs) *Drive and execute technologies and products qualifications-Manage human and technical resources involved in the qualification and plan the qualification -Design test structures for qualification and physical understanding needs-Conduct stresses and measurements in the lab to quantify each failure and wear-out mechanisms (electrical and thermal stresses)-Develop/implement measurement techniques for increased accuracy and/or speed-Build statistical and physical models to predict lifetime for any given electrical/thermal usage*Management-Manage two junior engineers who contribute to qualifications-Mentor one PhD student*Support Process Development teams for continuous reliability improvement-Contribute to the optimization of the device design, processes and materials for increased reliability -Find and demonstrate performance-reliability tradeoffs-Assess and reduce risks for new coming technologies*Transfer from R&D to production-Define an in-line monitoring plan in order to watch reliability at the production line and validate any process change that could impact reliability-Identify and prevent the reliability risks associated to the Flash technology transfer to an external production site*Scientific vitality-Contribute to internal researches and collaborate to externally conducted researches-Scientific publications through international conferences presentations and articles publications -Keep up-to-date on reliability international standards and procedures

PhD Objective: Characterization and reduction of electrical variability in MOSFET transistors in advanced CMOS technologies•Conducted high precision electrical measurements on submicron transistors•Designed experiments in collaboration with process integration teams•Created test structures for studying external variability sources•Built compact and physical models for describing electrical variability as a function of technological parameters•Developed statistical analysis tools•Evaluated high-k dielectrics and metal gate contributions to global electrical variability in advanced devices•Initiated a collaboration with Prof. Asenov's device modeling group at Glasgow University and conducted together a fine quantization of the main electrical variability sources that affect 45nm technological node devices•Presented scientific papers at international conferences (USA, Japan, Switzerland, France, Taiwan)•Authored articles for international scientific journals (SSE, EDL)

Grenoble, Auvergne-Rhone-Alpes, France

•Designed pixels and extracted layouts •Simulated noise for various pixel architectures•Measured noise on pixel prototypesAchievements:Analyzed the impact of image sensor size reduction on Low Frequency noise. Provided original design solutions to reduce noise in advanced CMOS pixels.

•Conducted electrical measurements on tester•Built test patterns for various products•Developed test libraries•Optimized existing algorithmsAchievements:Developed a global solution that allows electrical testing and poly resistor trimming at the same time. The method allows savings of up to 40% test time

National Certification, Data Science

Data Science (Data Processing and Visualization, feature selection and feature engineering, Big data, Supervized and unsupervized Machine.

Ingénieur, Microelectronics, Telecommunications, Mathematics

Doctor Of Philosophy - Phd, Physics Of Semiconductors