Farzan Majeed Noori's Professional Homepage

Welcome!

      • Farzan Majeed Noori was born in Islamabad, Pakistan, in 1991.
      • He received the M.Sc. degree in Mechatronics Engineering from Air University, Islamabad, Pakistan, in Aug. 2016, where he was working as a Research Assistant / Lab Engineer at the Dept. of Mechatronics Engineering until April 2017 .
      • His M.Sc. dissertation topic was "Optimal feature selection from functional near-infrared spectroscopy using genetic algorithms" for brain-computer interfacing".
      • He is co-author of an article on the topic published in the Frontiers in Human Neuroscience journal (IF: 3.62) and an article on analysis of different classification techniques published in the Computational Intelligence and Neuroscience journal (IF: 0.43). His master's thesis has also been published in Neuroscience Letters Journal (IF:2.1).
      • Since May. 2017, he has been a researcher of the AP4ISR team at Institute of Systems and Robotics - University of Coimbra (ISR-UC), working in the STOP project and pursuing research on multi-robot patrolling of infrastructures, with an emphasis on robot perception methods for automatic detection and classification of abnormal situations and security threats in the context of infrastructures surveillance.
      • His Research record can be found in

-----------------------------------------------------------------------------------------------------------------------------------------------------------------

Recent News

14/10/2017

  • A paper titled "On 3D Simulators for Multi-Robot Systems in ROS: MORSE or Gazebo?" in IEEE Proceedings International Symposium on Safety, Security and Rescue Robotics (SSRR) Shanghai, China, October 11-13, 2017

2/10/2017

22/06/2017

  • A paper titled "Enhancing Classification Performance of Functional Near-Infrared Spectroscopy- Brain–Computer Interface Using Adaptive Estimation of General Linear Model Coefficients" has been accepted for publication in Frontiers in Neurorobotics, Impact factor 2.48.

10/03/2017

  • A paper titled "Optimal Feature Selection from fNIRS Signals using Genetic Algorithms for BCI" has been accepted for publication in Neuroscience Letters,Impact factor 2.10.

16/06/2016

05/05/2016

04/03/2016

  • Travelled to Busan, Korea for extracting the brain signals using functional near-infrared spectroscopy(fNIRS). Availed

the opportunity to work on the DYNOT-232 (NIRx Medical Technologies, LLC.) and the Imagent (ISS, Champaign, Illinois).