Prof. Rogelio Lozano | Aerobots Award | Excellence in Research

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Prof. Rogelio Lozano | Aerobots Award | Excellence in Research

Prof. Rogelio Lozano, CINVESTAV, Mexico

Rogelio Lozano, born on July 12, 1954, in Monterrey, Mexico, is a distinguished CNRS Director of Research and Head of the Joint France-Mexico Laboratory UMI 3175 LAFMIA at CINVESTAV. With a rich academic background including a Ph.D. in Automatic Control from LAG, INPG, Grenoble, Rogelio has held numerous prestigious positions globally, notably as a Professor at CINVESTAV, Visiting Professor at institutions like NASA Langley Research Center and LAG, INPG, Grenoble, and as CNRS Research Director at Heudiasyc UTC Compiègne. Throughout his career, he has supervised over 40 Ph.D. students and 11 postdocs, many of whom have become esteemed professors internationally. Rogelio’s research interests span adaptive control, dissipative dynamical systems, under-actuated mechanical nonlinear systems, and the modeling and control of mini aerial vehicles, among others. He has also made significant contributions to editorial activities, serving as Associate Editor for AUTOMATICA and the International Journal of Adaptive Control and Signal Processing, and as Senior Editor of the Journal of Intelligent and Robotic Systems. Rogelio’s dedication to advancing the field of control engineering is evident through his leadership in organizing scientific meetings, securing research grants, and his prolific publication record in esteemed journals.

Professional Profile:

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🎓 Education:

Rogelio Lozano holds a Bachelor’s degree in Communication and Electronics Engineering from IPN, México, obtained in 1975. He furthered his education with a Master’s degree in Electrical Engineering from CINVESTAV, México, in 1977. Building upon this foundation, he pursued specialized studies, earning a Master’s degree in Control from LAG, INPG, Grenoble, in 1978, followed by a PhD in Automatic Control from the same institution in 1981. His academic journey culminated with a Habilitation to Supervise Research (HDR) from LAG, INPG, in 1990. This diverse educational background equipped him with a comprehensive understanding of control theory and engineering principles, laying the groundwork for his distinguished career in research and academia.

💼 Current Positions:

Rogelio Lozano currently holds esteemed positions in academia and research, serving as the CNRS Director of Research, Classe Exceptionnelle, alongside his role as the Head of the Joint France (CNRS) – Mexico (CINVESTAV) Laboratory UMI 3175 LAFMIA. His leadership in these capacities underscores his significant contributions to the scientific community, bridging international collaborations and advancing the frontiers of research in control theory and engineering. As a distinguished figure in his field, he brings together expertise from both France and Mexico, fostering interdisciplinary dialogue and fostering innovative solutions to complex challenges in the realm of control systems.

🔬 Areas of Interest:

Rogelio Lozano’s research interests span a diverse array of topics within the realm of control theory and engineering. His expertise encompasses adaptive control, enabling systems to adjust their behavior in response to changing environments or parameters. Additionally, he explores dissipative dynamical systems, studying their behavior and properties, particularly in the context of energy dissipation and stability. Lozano also delves into the realm of unmanned aerial vehicles (UAVs), contributing to advancements in their modeling, control, and navigation. Beyond these focal areas, his research extends to various related fields, reflecting his multifaceted approach to addressing complex challenges and pushing the boundaries of knowledge in control systems.

Publication Top  Notes:

  1. A globally convergent adaptive pole placement algorithm without a persistency of excitation requirement
    Published Year: 1985
    Journal: IEEE Transactions on Automatic Control
    Cited By: 202
  2. An iterative learning control of robot manipulators
    Published Year: 1991
    Journal: IEEE Transactions on Robotics and Automation
    Cited By: 184
  3. On the design of the dissipative LQG-type controllers
    Published Year: 1988
    Journal: Proceedings of the 27th IEEE Conference on Decision and Control
    Cited By: 143
  4. Model reference robust adaptive control without a priori knowledge of the high frequency gain
    Published Year: 1988
    Journal: 1988 American Control Conference
    Cited By: 127
  5. Strictly positive real transfer functions revisited
    Published Year: 1990
    Journal: 29th IEEE Conference on Decision and Control
    Cited By: 122