Farid Edrisi

Doctoral student

Department of Computer Science and Media Technology Faculty of Technology

farid.edrisi@lnu.se

+46 470-70 81 59

I obtained my bachelor's and master's degrees in electrical engineering - control from the University of Tabriz and Tarbiat Modares University in Iran, respectively, in 2013 and 2016. During my time at Tarbiat Modares University, I worked as a researcher at the Intelligent Control System Laboratory (ICSLab) on the Control of Quadruped Robot (TMUBOT) project from 2014 to 2016. After completing my studies, I joined Huawei Technology Services Co. as an IP engineer and worked on various projects from 2017 to 2019. I started my research on the ALADINO project as a visiting researcher at Linnaeus University from February 2020 to June 2021. Then, on July 1, 2021, I began my Ph.D. studies at the Department of Computer Science and Media Technology at Linnaeus University.

Teaching

Teaching Assistant for:

1DV534 - Object-Oriented Programming with C++

2DV604 - Software Architectures

2DV516- Introduction to Machine Learning

Research

My research interests mainly include Modeling Industrial Systems, Robotics & Mechatronics, Digital Twin, and Automatic Control. Also, using Machine Learning methods to overcome the problems that classical methods are inefficient in solving is an interesting field for me.

My research groups

Engineering Resilient Systems (EReS) The Engineering Resilient Systems (EReS) Research Lab conducts research in the area of system resilience. It focuses on investigating (and experimenting with)…

My ongoing research projects

Publications

Article in journal (Refereed)

Saman Azari, M., Santini, S., Edrisi, F., Flammini, F. (2025). Self-adaptive fault diagnosis for unseen working conditions based on digital twins and domain generalization. Reliability Engineering & System Safety. 254 (Part A).
Status: Published
Edrisi, F., Perez-Palacin, D., Caporuscio, M., Giussani, S. (2024). Developing and Evolving a Digital Twin of the Organization. IEEE Access. 12. 45475-45494.
Status: Published

Conference paper (Refereed)

Edrisi, F., Perez-Palacin, D., Caporuscio, M., Giussani, S. (2023). Adaptive Controllers and Digital Twin for Self-Adaptive Robotic Manipulators. 2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS). 56-67.
Edrisi, F., Saman Azari, M. (2023). Digital Twin for Sustainability Assessment and Policy Evaluation : A Systematic Literature Review. 2023 IEEE/ACM 7th International Workshop on Green And Sustainable Software (GREENS). 1-8.
Edrisi, F., Perez-Palacin, D., Caporuscio, M., Hallberg, M., Johannesson, A., et al. (2021). EA Blueprint : An Architectural Pattern for Resilient Digital Twin of the Organization. Dependable Computing - EDCC 2021 Workshops.. 120-131.
Caporuscio, M., Edrisi, F., Hallberg, M., Johannesson, A., Kopf, C., et al. (2020). Architectural Concerns for Digital Twin of the Organization. Software Architecture : 14th European Conference, ECSA 2020, L'Aquila, Italy, September 14–18, 2020. 265-280.
Edrisi, F., Johari Majd, V., Attar, M., Dini, N. (2016). Modifying the attitude of quadruped robot body against disturbances via data fusion. Proceedings of the 4th International Conference on Robotics and Mechatronics, ICRoM 2016, October 26-28, 2016, Tehran, Iran. 55-60.
Edrisi, F., Johari Majd, V. (2015). Attitude estimation of an accelerated rigid body with sensor fusion based-on switching extended Kalman filter. 2015 AI and Robotics, IRANOPEN 2015 - 5th Conference on Artificial Intelligence and Robotics. 1-6.