Dr. Siavash Fakhimi Derakhshan, Ph.D.
Research associate

Biography
Publication list
Education
Ph.D. in Electrical Engineering – Control, Department of Electrical Engineering, K.N. Toosi University of Technology, Tehran, Iran
Thesis: “Reduce the conservatism in stability analysis for Takagi-Sugeno fuzzy systems”, July 2012
Supervisor: Dr. A. Fatehi
M.Sc. in Electrical Engineering – Control, Department of Electrical Engineering, K.N. Toosi University of Technology, Tehran, Iran
Thesis: “Identification and Robust Controller Design for the Servo-Hydraulic Robot Shoulder”, July 2005
Supervisor: Dr. H. Taghirad
B.Sc. in Electrical Engineering – Control, Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran
Thesis: “Controller Design for Airplane with Inertial Cross Coupling in Frequency Domain”, September 2003
Supervisor: Dr. M. Mobed
High School: Shahid Madani (under the supervision of NODET – National Organization for Developing Exceptional Talents), Tabriz, Iran
Professional Experience
Research Assistant, February 2017 – Present
Institute of Information Theory and Automation of the Czech Academy of Sciences, Department of Adaptive Systems, Prague, Czech RepublicResearch in topics related to optimization, lazy learning, and fully probabilistic decision making
Researcher and Programmer, May 2006 – December 2016
K.N. Toosi University of Technology, Advanced Process Automation & Control Research Group, Tehran, IranWorked on universal controller systems, advanced control methods in oil refineries, and stability analysis and stabilization of Takagi-Sugeno fuzzy systems
Lecturer
Shahid Rajaee Teacher Training University, Tehran, Iran (October 2012 – July 2014)
Courses taught: Industrial Control, System Identification, Modern Control Theory
University of Applied Science and Technology, Tehran, Iran (October 2009 – July 2015)
Courses taught: Linear Control Systems, Digital Control Systems, Modern Control Theory, Robotics, Industrial Control, Intelligent Systems
Fields of Interest
Lazy learning
Fully probabilistic decision making
Robust control
Fuzzy sets and systems
Optimization
Journal articles
- Nonmonotonic‑Based Congestion Control Schemes for a Delayed Nonlinear Network, Circuits Systems and Signal Processing 39 1 (2020), p. 154-174 Download Download DOI: 10.1007/s00034-019-01187-x [2020] :
- LMI-based Congestion Control Algorithms for a Delayed Network, International Journal of Industrial Electronics, Control and Optimization (IECO) 2 2 (2019), p. 91-98 Download Download DOI: 10.22111/ieco.2018.24948.1038 [2019] :
- Optimal fuzzy controller based on non-monotonic Lyapunov function with a case study on laboratory helicopter, International Journal of Systems Science 50 3 (2019), p. 652-667 Download Download DOI: 10.1080/00207721.2019.1567864 [2019] :
- Comments on ‘‘Stability, l2-Gain, and Robust H∞ Control for Switched Systems via N-Step-Ahead Lyapunov Function Approach’’, IEEE Access 7 1 (2019), p. 2396-2400 Download Download DOI: 10.1109/ACCESS.2018.2886231 [2019] :
Other publications
- Policy Learning via Fully Probabilistic Design, DYNALIFE WG1-WG2 Interaction Meeting Data driven evidence: theoretical models and complex biological data, p. 52-52 Download [2024] :
- Lazy Fully Probabilistic Design: Application Potential, Multi-Agent Systems and Agreement Technologies, p. 281-291 Download DOI: 10.1007/978-3-030-01713-2_20 [2018] :