Daniel-Mihail IoanAssistant Professor Ș.L. dr. ing.
areas of expertise
- Optimization-based control
- Mixed-integer programming
- Robotics
- Model Predictive Control
- Set-theoretics methods
education
- Post-doctoral researcher, Lab-STICC, ENSTA Bretagne, Brest
- PhD on Automatic Control, L2S, CentraleSupelec, University Paris Saclay
- One year-long Erasmus + fellowship, Master on Cybernetics and Control, TU Ilmenau, Germany
- Master’s Degree, Intelligent Control Systems, UPB
Assistant Professor at UNSTPB, Automatic Control and Systems Eng. dept. (ACSE), with PhD in automation (Univ. Paris Saclay, 2021). His main research interests are optimization-based control and related topics with application in motion planning and fault detection and isolation. As well, he specialized in the application of set theoretic methods to robust control issues, constrained optimization problems and the coupling between motion planning and predictive control. He is (co-)author of 10 journals and conference papers.
Power is nothing without control (F. Dorfler, inControl Podcast)
He obtained his PhD in 2021 at University Paris Saclay, defending the thesis with the title: Safe navigation within cluttered environments. During his PhD, he was part of two French research laboratories: L2S(Laboratory of Signals and System), CentraleSupelec-Univ.Paris Sud – Univ. ParisSaclay, Gif-sur-Yvette and LCIS (Laboratoire de Conception et d’Intégration des Systèmes), Grenoble INP-Univ. Grenoble Alpes, Valence. As well, his expertise is proven by the participation in multiple national research grants (in both fundamental research and robotic applications) such as the project TE-2014-4-2713 “SETS2FTC – Set-theoretic approaches for fault tolerant control of complex systems”, “Young Team” research project PN-III-P1-1.1-TE-2019-1614 “REPLAN – Reliable motion planning for nonlinear systems under uncertainties”. As well, he has been working in the field of MIP (mixed-integer programming)-based control for over 10 years and has developed a broad range of methods for modelling the inherent non-convexities in control related applications. Furthermore, his expertise is complemented by a strong record of collaboration with several laboratories in France and Germany.
Top publications
Conference papers
• “Complexity bounds for obstacle avoidance within a zonotopic framework” accepted to 2019 American Control Conference(ACC), Philadelphia, PA, USA, July 10 – 12, 2019. https://doi.org/10.23919/ACC.2019.8814976
• “Navigation in a multi-obstacle environment. From partition of the space to a zonotopic-based MPC.” accepted 2019 European Control Conference(ECC), Napoli, Italy, June 25-28, 2019. https://doi.org/10.23919/ECC.2019.8796080
• “Parametrized Hyperplane Arrangements for Control Design with Collision Avoidance Constraints” accepted to the 15th IEEE International Conference on Control and Automation (ICCA19), July 16-19, 2019, Edinburgh, Scotland. https://doi.org/10.1109/ICCA.2019.8899977
• “Navigation in cluttered environments with feasibility guarantees” accepted to the 21st IFAC World Congress July 12-17, 2020, Berlin, Germany. https://doi.org/10.1016/j.ifacol.2020.12.1554
Journal papers
• “From Obstacle-based Space Partitioning to Corridors and Path Planning. A Convex Lifting Approach” accepted to the IEEE Control Systems Letters and to the 58th IEEE Conference on Decision and Control, December 11-13, Nice, France. https://doi.org/10.1109/LCSYS.2019.2922414
• “Mixed-integer Programming in Motion Planning” accepted by Annual Reviews in Control. https://doi.org/10.1016/j.arcontrol.2020.10.008
Thesis
• “Safe Navigation Strategies within Cluttered Environment.” https://tel. archives-ouvertes.fr/tel-03363948
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