• as@utia.cas.cz
RESEARCHER

Siavash Fakhimi Derakhshan

📧 Email: fakhimi@utia.cas.cz
📞 Phone: +420 266 052 280

🔗 ORCID

🔬 Research Interests

Optimization Machine learning Lazy Learning Fully probabilistic decision making Fuzzy systems and control, multiple model control, nonlinear predictive control, and robust control Transfer learning in DM Distributed DM in complex, uncertain and evolving environments

📚 Education

Ph.D. in Electrical Engineering – Control, Department of Electrical Engineering, K.N. Toosi University of Technology, Tehran, Iran – 2012 M.Sc. in Electrical Engineering – Control, Department of Electrical Engineering, K.N. Toosi University of Technology, Tehran, Iran – 2005 B.Sc. in Electrical Engineering – Control, Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran – 2003 High School: Shahid Madani (under the supervision of NODET – National Organization for Developing Exceptional Talents), Tabriz, Iran

List of publications

Dr. Siavash Fakhimi Derakhshan, Ph.D. | Institute of Information Theory and Automation

Dr. Siavash Fakhimi Derakhshan, Ph.D.

Research associate

Siavash Fakhimi Derakhshan
fakhimi@utia.cas.cz 266052280
Department: Department of Adaptive Systems
Research interests: Optimization, Machine learning, Lazy Learning, Fully probabilistic decision making, Fuzzy systems and control, multiple model control, nonlinear predictive control, and robust control

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 Republic

    • Research 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, Iran

    • Worked 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

  1. Fakhimi Derakhshan Siavash, Shamsabad Farahani S. S.: 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]
  2. Fakhimi Derakhshan Siavash, Shamsabad Farahani S. S.: 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]
  3. Behzadimanesh S., Fatehi A., Fakhimi Derakhshan Siavash: 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]
  4. Shamsabad Farahani S. S., Fakhimi Derakhshan Siavash: 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

  1. Fakhimi Derakhshan Siavash: Leveraging Quantum Logic for Data-Driven Decision-Making in Imitation Learning for Intelligent Agents, Quantum Information and Decision Making in Life Sciences: Book of Abstracts, p. 32-32 Download DOI: 10.5281/zenodo.15854639 [2025]
  2. Fakhimi Derakhshan Siavash, Guy Tatiana Valentine: 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]
  3. Guy Tatiana Valentine, Fakhimi Derakhshan Siavash, Štěch Jakub: 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]
Created by SUITU websites SE • Powered by MySuitu CMS • © 2026
See publications