
Nicolas A. Barbarin, PhD 🚀
Fiedtrips and practices

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About me
Project & Product Manager - R&D, Innovation - "𝘞𝘦 𝘰𝘯𝘭𝘺 𝘩𝘢𝘷𝘦 𝘵𝘩𝘦 𝘭𝘪𝘮𝘪𝘵𝘴 𝘵𝘩𝘢𝘵 𝘸𝘦 𝘪𝘮𝘱𝘰𝘴𝘦 𝘰𝘯 𝘰𝘶𝘳𝘴𝘦𝘭𝘷𝘦𝘴 𝘢𝘯𝘥 𝘵𝘩𝘰𝘴𝘦 𝘸𝘦 𝘵𝘩𝘪𝘯𝘬 𝘸𝘦 𝘩𝘢𝘷𝘦"
Education

University of Toronto via Coursera
2018 -Neural networks for machine learning 85%
DGAC
2017 -Certificat ULM/DroneMinimum official certificate needed to use professionnal UAV's.

MARUM, Bremen Germany
2010 -ECORD Summer School: Dynamics of Past Climate ChangesActivities and Societies: Two-weeks courses combined with lectures, interactive discussions and a “virtual ship”.http://www.marum.de/en/GLOMAR.htmlProgram: Climate response to orbital forcing Millennial-scale climate variability Linkages between climate and tectonics Sea-level changes Paleoproductivity, carbon burial through time, high CO2 worlds

TOTAL S.A.
2017 - 2017SISMAGE-CIG Seismic interpretation, modelingTraining SISMAGE-CIG "Essentials" at TOTAL S.A. with Eric Braccini.

Esri
2017 - 2017ArcGIS Level 2 and 3D Analyst GIS, cartography, geospatial analysisTraining Level 2 and 3D Analyst with Esri.

Université de Bourgogne
2007 - 2009Master Geology, Geophysics, Environments, Geobiosphere First Class HonoursActivities and Societies: Generalist training, mastery of numerical tools, geophysics (detection by electrical resistivity/conductivity, electromagnetism and acoustic waves), sedimentology... "Link between calcareous nannofossils and the pelagic carbonate production during the Valanginian (SE France): Exploratory morphometric approach of the Nannoconus genus” advisors: Prof. Emanuela Mattioli, Prof. Emmanuelle Vennin et Dr. Emmanuelle Pucéat. Collaboration between UMR-CNRS 5561 Biogéosciences (University of Burgundy) and UMR 5125 Palaeoenvironnement and Palaeobiosphere (University Claude Bernard Lyon 1)

Stanford University
2023 -Specialization Machine Learning - Advanced Learning Algorithms 100%Deep learning, Decision/Regression Trees, Random Forest, XGBoostPython, Tensorflow, Scikit-Learn

Aix-Marseille Université
2010 - 2014Doctor of Philosophy (PhD) Environmental Sciences, Industry, AI, Automated Microscopy and Image Processing First Class HonoursActivities and Societies: Project management in scientific and industrial environments, hardware and software integration, Machine learning, Image processing, Automated imaging, Nannofossil thesis supervisors: DR. Luc Beaufort (CNRS) and Dr. Jean-Marc Moron (TOTAL).TOTAL funding

Université de Bourgogne
2004 - 2007Bachelor of Science (BSc) Earth and Environmental Sciences Upper Second Class Honours
Rutgers University
2011 -Internship: Biostratigraphy and taxonomy of Cenozoic calcareous nannofossils with Marie-Pierre Aubry
Stanford University
2023 - 2023Supervised Machine Learning - Regression and Classification 100%Specialization machine learningLinear, Polynomial & Logistic Regressions, Feature EngineeringPython, Scikit-Learn, Numpy

Stanford University
2023 - 2023Unsupervised Learning, Recommenders, Reinforcement Learning 100%K-means Clustering, Anomaly Detection, Collaborative Filtering, Content-Based Filetering Recommender Systems, PCA, Reinforcement LearningPython, Tensorflow, Scikit-Learn, Gym
Experience

Université de Bourgogne
Oct 2004 - Jun 2009Fiedtrips and practicesTraining in Jurassic carbonate mapping (Burgundy, France)Miocene sedimentary stratigraphy (Valréas basin, France)Geophysics (electrical resistivity, electromagnetism and acoustic waves) in Jurassic/Cretaceous sediments and at an archaeological site (France)Excursions in volcanic (Chaîne des Puys), glacial and complex/metamorphic domains (Alps, France)Miocene mapping and sedimentology in Spain (Lorca and Sorbas basins)Sampling in the Lower Cretaceous of Spain (Maestrazgo Basin) (Msc Research studies) Show less

VicatGroup
Jul 2008 - Aug 2008Researcher InternshipCartography and geophysical characterization (electrical resistivity) of bauxite deposits.

CNRS - Centre national de la recherche scientifique
Apr 2010 - Jan 2014PhD Thesis - R&D about Automated Imaging and AI detection of calcareous nannofossils for geology and environment: SYRACO system - Quality/Time/Robustness/Fiability/Reproducibility Optimizations & Improvement This system reliably recognizes around a thousand of species from the Upper Eocene to now with a significant time saving for specialists. It is able to realize morhogroups classifications, automated counting and to grab a very large biometric database (size, weight…). It can be use for biostratigraphic or paleoceanographic purposes.- Steering, planning, definition of technical and functional specifications, coaching, POC & MVP - Calcareous nannofossils image database (100k), - 1 patent, - Morphometric automated measurement program, - Large data analysis (Statistics, time series analyses etc.), Datavisualisation, - Massive automated Image processing and machine learning classification, - Quantitative biostratigraphy on Pleistocene sediments. Advisor: DR. Luc Beaufort (CNRS) and Dr. Jean-Marc Moron (TOTAL).TOTAL funding Show less
R&D Project Leader (PhD thesis - AI, Automation, Industry and Environment)
Jan 2010 - Jan 2014Exploratory Sea drilling
Apr 2010 - Apr 2010

TotalEnergies
Jan 2014 - Jan 2023Cross-functional management - Technical coordination with internal teams (TotalEnergies HPC IA & Geosciences) and external partners (Thalès, MetaSystems, Zorth, etc.).Resource management.Optimisation & Improvement of Quality/Cost/Delivery/Robustness/Reliability/Reproducibility.- Steering, planning, definition of technical and functional specifications, short/medium/long-term visions, invitations to tender, feasibility, POC & MVP, supervision & coaching, coordination of TotalEnergies, Thales & Metasystems (All.) teams, etc. - Digital transformation of routine/repetitive processes from sample to final results for the GTS/BIO team,- Complete automation of the SYRACO imaging platform (integration of the workflow around a motorised microscope and a robot, preparations with QRcodes, user interface, web interface, database management, AI training & deployment)- Design of the web interface for the database and studies,- Database of 400k images labelled in 1000 classes- Successfully used on wells in Namibia and Suriname (major discoveries),- AI R&D on other use cases at TotalEnergies,- 1 patent on MicroDeep, a prototype with on-board AI for real-time analysis of aquatic biomass for carbon capture, biofuel/gas production, water cleaning, etc. Marketed by Zorth.- Participation in DRP-BIO with N. Keskes' team on the non-invasive extraction of fossils using Micro-CT Scan (X-ray microtomography) with 3D AI.- New data augmentation methods for deep learning (e.g. FakeFOV (Field Of View) project for object detection; technologies: OpenCV, Scikit-Learn, TensorFlow, Keras, Yolo, Mask R-CNN, etc.).- Technical participation with Lab L1's Reservoir Characterisation team (AI, image processing and SEM, R. Lasnel, I. Jolivet)- Design of digital tools for the GTS/BIO team Show less R&D about Digital Immersive Geosciences (DIG) of the AAPG (American Association of Petroleum Geologists)., Drone piloting and Data workflow. The aim is to offer a new publication platform for Virtual fieldtrip with high resolution 3D outcrops acquired with UAV's or LIDAR. I bring my user and developper experience with my geologist background to improve DIG. I also work to tune the platform for some internal purposes. - Definition of technical and functional specifications, technology feasibility & POC, - Drone image acquistion, 3D photogrammetric modeling of outcrops and interpretation (Ex. polylines with LIME & VRGS softwares), market product benchmark - 3D publication and sharing platform, Digital twins, workflow of data integration & mapping (GIS) and products benchmark + Deep Learning benchmark collaborations and consulting at TOTAL Show less Deployment, Industrialization of the SYRACO project at TOTAL - Cost-Time-Robustness-Reliability-Producibility Optimizations & Improvement - Adaptation to case studies and specialist needs (QC user interface...), coaching, - Increase of the nannofossils image database (150k) - Design of an interface to easily exploit classification results (expert QC with "NannoExplorer") - Improvement of the real-time producer/consumer loop for image processing - Fast image labelling program - Successful comparative study with expert on Angola wells - #1 Deep learning deployment proof-of-concept @Total - #1 Metier image database @ Total + Deep Learning collaborations with other TOTAL departments for benchmarking (TensorFlow, Keras) Show less
R&D-Innovation Project Leader for TotalEnergies
Jan 2018 - Jan 2023R&D Engineer
Jan 2017 - Jan 2018R&D Project Leader
Jan 2014 - Jan 2017

Team for the Planet
Dec 2020 - nowAssocié
Farm3
Jan 2023 - Jan 2023Data & Cloud Software departments ManagerManagement of Data & SaaS Cloud departments and R&D budgets. Development of the FARM3.0 cloud service and hyperspectral imaging for automated plant phenotyping in Agri-Agro (+pharmaceuticals, cosmetics, etc.). - Management of the data and cloud team in connection with robotics, automatisation and IoT developments, Management of subcontractors (IT, AI, data processing) - Upscaling study of Amazon Web Services (AWS) cloud architecture - Creation, management and optimization of databases (visible and hyperspectral imaging, security, statistical analysis, machine learning...) Show less

SAYENS
Jan 2024 - May 2024Cross-functional management of innovation maturation projects in the fields of energies (decarbonized "green" hydrogen), CO2 capture, New Materials, and Digital (AI, imagery...)Coordination between researchers and industrials in team with Intellectual property engineers, Business developpers, Marketing specialists and Lawers.Protect, promote and finance the technological development of inventions, from the laboratory to technology transfer (proof of concept, intellectual property, etc.) to industry or new start-ups. Show less
Innovation, Investment & Transfer Project Manager
Jan 2024 - May 2024Executive Committee Member of H2DEC - Stratégie Nationale d'Accélération "Hydrogène Décarboné"
Jan 2024 - May 2024
Licenses & Certifications

Certificat ULM/Drone
DGACJan 2017- View certificate

Gérer un projet d'innovation
BpifranceJan 2025 - View certificate

Intelligence Artificielle en entreprise, stratégie et transformation
BpifranceDec 2024 - View certificate

Changement climatique et biodiversité - Super badge
CNEDNov 2024 - View certificate

Machine Learning
Stanford UniversityJul 2023 
ArcGIS Level 2 and 3D Analyst
EsriJan 2017- View certificate

Specialization Machine Learning - Advanced Learning Algorithms
Stanford UniversityMay 2023 - View certificate

Neural networks for machine learning
University of TorontoMay 2018 - View certificate

Unsupervised Learning, Recommenders, Reinforcement Learning
Stanford UniversityJul 2023 - View certificate

Supervised Machine Learning - Regression and Classification
Stanford UniversityApr 2023
Languages
- frFrench
- enEnglish
- geGerman
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