Duc-Tri VO
Ingénieur en Informatique Industrielle, Automatisation, et Digitalisation
Download: Curriculum Vitae
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Experience
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Researcher in Advanced Automation (CIFRE PhD)
2021 - 2024
University Grenoble Alpes, in collaboration with CEA Marcoule (France)
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Defense reports: Access.
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Analyzed, designed, implemented, and experimentally validated advanced control strategies for spent nuclear fuel treatment.
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Planned a 100-hour experimental campaign, 24/7 (3x8 shifts), with a team of 6 people.
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Developed an application (using
Python,Qt, andSQLite3) to implement control algorithms, enable real-time visualization, and post-processing of simulation and experimental data. -
Coordinated research activities between academic and industrial laboratories.
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New Product Introduction Engineer
2020 - 2021
Techtronic Industries Manufacturing (TTI Group, Vietnam)
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Coordinated with other teams for product development and problem-solving, from project start to mass production.
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Prepared technical documents required for product development.
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Education
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PhD in Advanced Automation
2021 - 2024
University Grenoble Alpes, in collaboration with CEA Marcoule
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Engineer’s Degree in Mechatronics (Automation)
2015 - 2020
Program for Training Excellence Engineers in Vietnam (PFIEV) – HCM City University of Technology and Grenoble INP (UGA)
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This 268-credit program is accredited by the Commission des Titres d’Ingénieur (CTI, France) and is designated as a European engineering Master’s program (EUR-ACE Master) accredited by the European Network for Accreditation of Engineering Education (ENAEE).
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GPA: 8.53/10 (Valedictorian).
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Internship: Control and Automation Lab (2017-2020).
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Final Project: Design of an automated nut-running system for bicycles.
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Skills
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Areas of Expertise
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Data Analysis and Modeling
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Statistics and Machine Learning
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Automation and Signal Processing
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Simulation and Optimization
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Embedded and Real-Time Systems
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Programming
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Frameworks
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Industrial Communication
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PLC (Siemens S7-1200)
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STM32, Raspberry Pi
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OPC-UA
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Modbus
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TCP/IP
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Office
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Latex
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Microsoft Office Suite
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Languages
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English: Advanced
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French: Fluent
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Vietnamese: Native
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Projects
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Modular and scalable platform for the development, simulation, and deployment of advanced control methods, with a focus on predictive control.
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Supports acquisition, processing, data visualization, and report generation to optimize development and supervision of control systems.
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Integrates machine learning techniques to enhance control strategies with adaptive, fault-tolerant, and diagnostic capabilities.
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Publications
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Book Chapter
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[1] D.-T. Vo, I. Prodan, L. Lefèvre, V. Vanel, S. Costenoble, and B. Dinh, PSO-based Adaptive NMPC for Uranium Extraction-Scrubbing Operation in Spent Nuclear Fuel Treatment Process, in Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics, 2024.
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Conference
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[2] D.-T. Vo, I. Prodan, L. Lefèvre, V. Vanel, S. Costenoble, and B. Dinh, Nonlinear Model Predictive Control for Uranium Extraction-Scrubbing Operation in Spent Nuclear Fuel Treatment Process, in Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics, 2023. doi: 10.5220/0012180700003543. (Best Student Paper Award).
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[3] D.-T. Vo, I. Prodan, L. Lefèvre, V. Vanel, S. Costenoble, and B. Dinh, ANN-based Adaptive NMPC for Uranium Extraction-Scrubbing Operation in Spent Nuclear Fuel Treatment Process, in Proceedings of the 8th IEEE Conference on Control Technology and Applications (CCTA), 2024.
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Awards
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Best Student Paper Award
2023
At the 20th International Conference on Informatics in Control, Automation and Robotics, Rome, Italy.
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Top 30 – National Award for Students of Excellence
2021
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Odon Valet Scholarship
2020
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NIDEC-TOSOK Corporation Scholarship
2019
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National Prize for Modeling and Simulation
2018 and 2019
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Sunflower Mission – Engineering and Technology
2018
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Certifications
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Acquired general knowledge on the IGNITION 8.1 development platform.
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Training provided by Inductive University
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Software engineering methods, tools, strategies, principles, and guidelines.
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Software development models such as Waterfall, Iterative, Incremental, Spiral, V-Model, Agile, etc.
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Industry best practices in software engineering.
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Gained hands-on experience with advanced data analytics tools and workflows, including Python, R, and Tableau.
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Mastered exploratory analysis, statistics, regression, data modeling, and machine learning basics.
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{“Gained hands-on experience with essential data analytics tools”=>”spreadsheets, SQL, R, and Python.”}
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Completed the creation and presentation of analytical results via dashboards, presentations, and visualization platforms.
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Developed the ability to effectively communicate data-driven recommendations to stakeholders.
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Mastered project planning, documentation, and management.
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Gained foundational knowledge of Agile and Scrum practices.
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Developed skills in problem-solving, communication, and stakeholder management.
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Performed practical application of project management strategies.
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Designed and trained deep neural networks, optimizing key parameters for various applications.
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Applied best practices for training, variance analysis, and optimization with TensorFlow.
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Designed, trained, and deployed CNNs and RNNs for various tasks.
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Application of deep learning techniques for time series forecasting.
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Developed skills in creating, training, and evaluating models as a TensorFlow Developer.
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Acquired best practices for writing clean, maintainable, and well-documented code: testing, linting, formatting, and type checking.
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Developed expertise in publishing production-ready Python packages with versioning, CI/CD pipelines, GitHub Actions, and PyPI.
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Implemented problem-solving strategies for real-world challenges.
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Use of Git and GitHub for version control.
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