Welcome!
I am Farzan, a third-year Computer Science Ph.D. candidate in the Department of Informatics at the University of Oslo. I am fortunate to be working with Prof. Jim Tørresen as part of the ROBIN group. I did my masters in Mechatronics Engineering from Air University, Islamabad, and worked with Prof. Noman Naseer. In the meanwhile, I was working as a Lab Engineer at the Dept. of Mechatronics Engineering.
My research goal is to build a predictive model from multi-sources of information to analyze the behavior and emotional state of the human for predicting future events or actions. The multi-modal multi-architectural deep learning approach would be useful to increase access to mental health services or to provide a better robot companion for elderly people. The study is focusing on analysis and modeling using data collected from different smartphone apps and sensors (wearable or ambient).
In the past, I worked 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 infrastructure surveillance. I also worked with Brain-Computer Interface (BCI) during my masters focused on Optimal feature selection from functional near-infrared spectroscopy (fNIRS) signals using genetic algorithms for BCI.
My research publications on
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Recent News
01/09/2020
Paper accepted in "Journal of Neural Engineering" titled "Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based phase analysis " (Impact Factor 4.14).
27/05/2020
A dataset published in the "Proceedings of the 11th ACM Multimedia Systems Conference" titled "Toadstool: a dataset for training emotional intelligent machines playing Super Mario Bros".
21/09/2020
Paper accepted in "IEEE International Conference on Ultra-wideband and ultra-short impulse signals " titled ""In-Home Emergency Detection Using An Ambient UltraWideband Radar Sensor and Deep Learning. September 21-25, 2020, Kharkiv, Ukraine
22/05/2020
Paper accepted in "Journal of Healthcare Engineering" titled "Cortical Tasks-Based Optimal Filter Selection: An fNIRS Study " (Impact Factor 1.83).
02/01/2020
Journal paper accepted based on Human Activity Recognition from Multiple Sensors Data Using Multi-Fusion Representations and CNN in "ACM Transactions on Multimedia Computing,Communications, and Applications (TOMM)", (Impact Factor 3.275).
21/11/2019
Successfully defended my mid PhD evaluation.
25/10/2019
Workshop paper based on 1D-CNNs on Motor Activity Measurements in Detection of Depression accepted in HealthMedia 2019 - Workshop on Multimedia for Personal Health and Health Care Colocated with ACM Multimedia 2019 in Nice, France.
04/09/2019
Presented my work on Heart Rate Prediction from Head Movement during Virtual Reality Treatment for Social Anxiety in 2019 International Conference on Content - Based Multimedia Indexing at Dublin, Ireland.
19/08/2019
Poster on Robot-Care for the Older People: Ethically Justified or Not? in 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob) , Oslo Norway.
15/07/2019
Presented my work on sensor fusion in 2019 International Joint Conference on Neural Networks (IJCNN) at Budapest Hungry.
11/06/2019
Presented my work in Scandinavian Conference on Image Analysis 2019 at Norrköping, Sweden.
03/04/2018
Started Ph.D. at University of Oslo.
05/02/2018
Journal Paper accepted in "Journal of NeuroEngineering and Rehabilitation" titled "fNIRS-based Neurorobotic Interface for gait rehabilitation".(Impact Factor 3.5)
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
Participated in AAL Forum 2017, 2-4 October, Coimbra, Portugal.
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
Paper accepted for publication in Computational Intelligence and Neuroscience, Impact factor 0.42.
05/05/2016
Paper accepted for publication in Frontiers in Human Neuroscience, Impact factor 3.63.
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).