Logo Leibniz Universität Hannover
Logo: Institute of Automatic Control
Logo Leibniz Universität Hannover
Logo: Institute of Automatic Control
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M. Sc. Fernando Diaz Ledezma

PhD Student
Institute of Automatic Control
Appelstr. 11
30167 Hannover
room: A255

phone:+49 511 762 4518
mobile:0176 7428 2860

Bild von M. Sc. Fernando Diaz Ledezma

About me

2016 up to now: Doctoral student, Institute of Automatic Control, Leibniz University Hanover, Hanover, Germany

2012 - 2015: Petroleum Engineer, Production and Facilities Development Dept., Saudi Aramco, Dhahran, Saudi Arabia

2014: Research Engineer, Research and Development Center, Saudi Aramco, Thuwal, Saudi Arabia

2012: M.Sc. in Mechanical Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

2010: B.Sc. in Mechatronics Engineering , Tecnológico de Monterrey, Mexico City, Mexico


Google Scholar Profile

Fields of Interest

Optimal control, neural networks, reinforcement learning, robotics


  • Neural Networks Modeling of Robot Kinematic and Dynamics
  • Learning of Minimum-Energy Motion Control for Robotic Systems and its Instantaneous Generalization to the Unforeseen


Diaz Ledezma, F., and Laleg-Kirati, T.M., 2015, July. A First Approach on Fault Detection and Isolation for Cardiovascular Anomalies Detection. Paper presented at the 2015 American Control Conference (USA), Chicago, Illinois (pp. 5788 - 5793). IEEE.

Diaz Ledezma. F., Amer, A., Abdellatif, F., Outa, A., Trigui, H., Patel, S., and Binyahib, R., 2015, April. A Market Survey of Offshore Underwater Robotic Inspection Technologies for the Oil and Gas Industry. 2015 SPE Annual Technical Symposium and Exhibition. Al Khobar, Saudi Arabia. Society of Petroleum Engineers.

Laleg-Kirati, T.M., Belkhatir, Z., and Diaz Ledezma, F., 2015. Application of Hybrid Dynamical Theory to the Cardiovascular System. In M. Djmai and M. Defoort (Eds.), Hybrid Dynamical Systems Observation and Control (pp 315-328). Springer International Publishing.

Diaz Ledezma, F., and Laleg-Kirati. T.M., 2012, June. Detection of Cardiovascular Anomalies: Hybrid Systems Approach. Paper presented at the 4th IFAC Conference on Analysis and Design of Hybrid Systems (Netherlands), Eindhoven (pp. 222-227). IFAC.


Diaz Ledezma, F., 2012. Detection of Cardiovascular Anomalies: An Observer-Based Approach. M.Sc. thesis. King Abdullah University of Science and Technology Thesis and Dissertations Repository.