M. Sc. Fernando Diaz Ledezma
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
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.