Faëzeh Rahbar

Contact

EPFL ENAC IIE DISAL

GR A2 475 (Building GR)
Station 2
CH-1015 Lausanne
Switzerland
Phone: +41 21 693 57 97
[email protected]


Short Biography

I am currently a PhD student at DISAL working on robotic olfaction. I received my M.Sc. in intelligent systems engineering in 2015 and my B.Sc. in electronic engineering in 2013 from Pierre and Marie Curie University. More information about me can be found in the following:

Research Interests and Projects

My research interests include olfactory robotics, multi-robot systems, probabilistic algorithms and machine learning. The main focus of my research has been on probabilistic algorithms for odor source localization. More information about my research can be found here.

Teaching and Service Activities

I have been involved in teaching since 2015 at EPFL. I have served as head TA and TA in the Distributed Intelligent Systems (DIS) and Signals, Instruments, and Systems (SIS) courses at DISAL. I particularly enjoy supervising and collaborating with students on topics relevant to my research. Projects on 3D bio-inspired algorithm, particle-based probabilistic algorithm, source term estimation for a multi-robot system, and deployement of a wireless sensor network for odor source localization are among the projects that I have supervised. More information about these projects can be found here. I have also been extensively involved in the review process of robotics journals and conferences since 2017.

Publications

2021

Source Term Estimation Algorithms for Gas Sensing Mobile Robots

F. Rahbar / A. Martinoli (Dir.)  

Lausanne, EPFL, 2021. 

2020

A Distributed Source Term Estimation Algorithm for Multi-Robot Systems

F. Rahbar; A. Martinoli 

2020. IEEE International Conference on Robotics and Automation (ICRA), [Virtual conference], 31 May – 31 August, 2020. p. 5604-5610. DOI : 10.1109/ICRA40945.2020.9196959.

2019

An Algorithm for Odor Source Localization based on Source Term Estimation

F. Rahbar; A. Marjovi; A. Martinoli 

2019-08-12. 2019 International Conference on Robotics and Automation (ICRA), Palais des congres de Montreal, Montreal, QC, Canada, Mai 20-24, 2019. p. 973-979. DOI : 10.1109/ICRA.2019.8793784.

Design and Performance Evaluation of an Algorithm Based on Source Term Estimation for Odor Source Localization

F. Rahbar; A. Marjovi; A. Martinoli 

Sensors. 2019-02-05. Vol. 19, num. 3, p. 656. DOI : 10.3390/s19030656.

2018

Design and Performance Evaluation of an Infotaxis-Based Three-Dimensional Algorithm for Odor Source Localization

J. Ruddick; A. Marjovi; F. Rahbar; A. Martinoli 

2018. 25th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, October 1-5, 2018. p. 1413-1420. DOI : 10.1109/IROS.2018.8593997.

2017

A 3-D Bio-inspired Odor Source Localization and its Validation in Realistic Environmental Conditions

F. Rahbar; A. Marjovi; P. C. M. Kibleur; A. Martinoli 

2017. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, BC, Canada, September 24–28, 2017. p. 3983-3989. DOI : 10.1109/IROS.2017.8206252.

Adaptive Lévy Taxis for Odor Source Localization in Realistic Environmental Conditions

R. Emery; F. Rahbar; A. Marjovi; A. Martinoli 

2017. IEEE International Conference on Robotics and Automation, Singapore, May 29-June 3, 2017. p. 3552-3559. DOI : 10.1109/ICRA.2017.7989407.