I am Farzan, working as a postdoctoral Researcher at University of Oslo, Norway. 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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Journal Paper accepted in "Journal of Intelligent & Robotic Systems" titled "Semantic temporal object search system based on heat maps" (Impact Factor 3.12).
Journal Paper accepted in "Digital Health" titled "Towards Adaptive Technology in Routine Mental Healthcare ".
I've got an opportunity to travel abroad for a research exchange to "Univeristy of Michigan- Dearborn" for Four months, Jan -May 2022.
Paper accepted in "IEEE International Conference on Electronics, Information, and Communication (ICEIC) " titled ""Monitoring In-Home Emergency Situation and Preserve Privacy using Multi-modal Sensing and Deep Learning. January 20 – 22, 2022, South Korea
Paper accepted in "IEEE International Conference on Signal, Control and Communication (SCC 2021)" titled ""Emotion Recognition using Speech Data with Convolutional Neural Network. December 20 – 22, 2021, Tunisia
Journal Paper accepted in "IEEE Access" titled "Ultra-Wideband Radar-Based Activity Recognition Using Deep Learning" (Impact Factor 3.36).
A case study published in "Journal of Enabling Technologies" titled "Challenges and possible solutions in cross-disciplinary and cross-sectorial research teams within the domain of e-mental health".
Journal 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).
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".
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
Paper accepted in "Journal of Healthcare Engineering" titled "Cortical Tasks-Based Optimal Filter Selection: An fNIRS Study " (Impact Factor 1.83).
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).
Successfully defended my mid PhD evaluation.
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.
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.
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.
Presented my work on sensor fusion in 2019 International Joint Conference on Neural Networks (IJCNN) at Budapest Hungry.
Presented my work in Scandinavian Conference on Image Analysis 2019 at Norrköping, Sweden.
Started Ph.D. at University of Oslo.
Journal Paper accepted in "Journal of NeuroEngineering and Rehabilitation" titled "fNIRS-based Neurorobotic Interface for gait rehabilitation".(Impact Factor 3.5)
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
Participated in AAL Forum 2017, 2-4 October, Coimbra, Portugal.
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.
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.
Paper accepted for publication in Computational Intelligence and Neuroscience, Impact factor 0.42.
Paper accepted for publication in Frontiers in Human Neuroscience, Impact factor 3.63.
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).