Muhammad Jawad Khan
Muhammad Jawad Khan
SMME, National University of Sciences and Technology, Islamabad
Verified email at
Cited by
Cited by
Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface
MJ Khan, MJ Hong, KS Hong
Frontiers in human neuroscience 8, 244, 2014
Hybrid brain–computer interface techniques for improved classification accuracy and increased number of commands: a review
KS Hong, MJ Khan
Frontiers in neurorobotics, 35, 2017
Feature extraction and classification methods for hybrid fNIRS-EEG brain-computer interfaces
KS Hong, MJ Khan, MJ Hong
Frontiers in human neuroscience 12, 246, 2018
Hybrid EEG–fNIRS-based eight-command decoding for BCI: application to quadcopter control
MJ Khan, KS Hong
Frontiers in neurorobotics 11, 6, 2017
Passive BCI based on drowsiness detection: an fNIRS study
MJ Khan, KS Hong
Biomedical Optics Express 6 (10), 4063-4078, 2015
Enhanced drowsiness detection using deep learning: an fNIRS study
MA Tanveer, MJ Khan, MJ Qureshi, N Naseer, KS Hong
IEEE access 7, 137920-137929, 2019
An adaptive multi-robot therapy for improving joint attention and imitation of ASD children
S Ali, F Mehmood, D Dancey, Y Ayaz, MJ Khan, N Naseer, RDC Amadeu, ...
IEEE Access 7, 81808-81825, 2019
Enhanced accuracy for multiclass mental workload detection using long short-term memory for brain–computer interface
U Asgher, K Khalil, MJ Khan, R Ahmad, SI Butt, Y Ayaz, N Naseer, S Nazir
Frontiers in neuroscience 14, 584, 2020
Quadcopter flight dynamics
M Khan
International journal of scientific & technology research 3 (8), 130-135, 2014
Early detection of hemodynamic responses using EEG: a hybrid EEG-fNIRS study
MJ Khan, U Ghafoor, KS Hong
Frontiers in Human Neuroscience 12, 479, 2018
Brain–machine interfaces using functional near-infrared spectroscopy: a review
KS Hong, U Ghafoor, MJ Khan
Artificial Life and Robotics 25, 204-218, 2020
Design, control and implementation of a ball on plate balancing system
A Zeeshan, N Nauman, MJ Khan
Proceedings of 2012 9th International Bhurban Conference on Applied Sciences …, 2012
Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based phase analysis
H Nazeer, N Naseer, RA Khan, FM Noori, NK Qureshi, US Khan, MJ Khan
Journal of Neural Engineering 17 (5), 056025, 2020
Hybrid EEG-NIRS based BCI for quadcopter control
MJ Khan, KS Hong, N Naseer, MR Bhutta
Society of Instrument and Control Engineers of Japan (SICE), 2015 54th …, 2015
Prediction of drag force on vehicles in a platoon configuration using machine learning
F Jaffar, T Farid, M Sajid, Y Ayaz, MJ Khan
IEEE Access 8, 201823-201834, 2020
Enhanced performance for multi-forearm movement decoding using hybrid IMU–SEMG interface
W Shahzad, Y Ayaz, MJ Khan, N Naseer, M Khan
Frontiers in neurorobotics 13, 43, 2019
Classification of mental workload (MWL) using support vector machines (SVM) and convolutional neural networks (CNN)
U Asgher, K Khalil, Y Ayaz, R Ahmad, MJ Khan
2020 3rd International Conference on Computing, Mathematics and Engineering …, 2020
Acceptance and competitiveness of new improved wheat varieties by smallholder farmers
KD Joshi, AU Rehman, G Ullah, MF Nazir, M Zahara, J Akhtar, M Khan, ...
Journal of crop Improvement 31 (4), 608-627, 2017
Assessment and classification of mental workload in the prefrontal cortex (PFC) using fixed-value modified beer-lambert law
U Asgher, R Ahmad, N Naseer, Y Ayaz, MJ Khan, MK Amjad
IEEE Access 7, 143250-143262, 2019
Improving classification accuracy of covert yes/no response decoding using support vector machines: an fNIRS study
N Naseer, KS Hong, MR Bhutta, MJ Khan
2014 International Conference on Robotics and Emerging Allied Technologies …, 2014
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