M. Ege Cansev, M. Sc. – Research Associate

M.Sc. M. Ege Cansev

Research Associate

Department of Electrical-Electronic-Communication Engineering
Chair of Autonomous Systems and Mechatronics

Room: Raum 02.033
Paul-Gordan-Str. 3/5
91052 Erlangen

Since February 2021, Ege Cansev is a doctoral candidate at the Chair of Autonomous Systems of the Department of Electrical Engineering, Electronics and Information Technology at FAU Erlangen-Nürnberg. He started to work on his doctoral studies in June 2020 at the Elastic Lightweight Robotics of Prof. Dr. Ing. Philipp Beckerle at TU Dortmund. He is currently working on the DFG funded project TRAIN.

Ege Cansev received his B.Sc. in Electrical and Electronics Engineering at Middle East Technical University (METU), Ankara, Turkey, in 2017 and his M.Sc. in Control Engineering at “La Sapienza”, the University of Rome, Rome, Italy, in 2019. He completed a research internship at “Forschungszentrum Jülich” while working on his Master’s thesis.

Research interest: control theory, human-robot interaction, shared autonomy, haptic interfaces

 

Teaching

Exercise (UE)

Seminar (SEM)

  • Seminar Autonomous Systems and Mechatronics

    Every person who wants to participate in the seminar has to attend the first session. Final seminar presentations will be held over multiple sessions. Registered students are required to attend all sessions.

    Anmeldung erfolgt über das zentrale Anmeldesystem am Department EEI (StudOn!).

    Die Lehrveranstaltung wird im SS 2021 rein digital stattfinden.

    • 2 SWS; Allowed for guest students; ECTS studies (ECTS credits: 2,5), Lecture's language English
    • Date:
      • Thu 14:00-16:00, Room SR 02.028 (exclude vac) ICS

 

Key references

A comprehensive list of publications can be found on Google Scholar or Research Gate.

  • Hering, D., Cansev, M. E., Tamassia, E., Xhonneux, A., & Müller, D. (2021). Temperature control of a low-temperature district heating network with Model Predictive Control and Mixed-Integer Quadratically Constrained Programming. Energy, 224, 120140.