Asim Bhatti

75 papers B 13C 3Misc 6Journal 28Unranked 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
SSI-GAN: Semi-Supervised Swin-Inspired Generative Adversarial Networks for Neuronal Spike Classification.
CoRR
Danial Sharifrazi, Nouman Javed, Mojtaba Mohammadi, Seyede Sana Salehi, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti
2026 J jnl
Spike sequences classification for dengue and Zika infections in mosquito neurons using deep pre-trained models.
Biomed. Signal Process. Control.
Danial Sharifrazi, Nouman Javed, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti
2026 J jnl
Trust in automation: A survey of neurophysiological perspectives on measurement and modelling.
Neurocomputing
Julakha Jahan Jui, Imali T. Hettiarachchi, Asim Bhatti
2025 J jnl
A Recent Review on Subjective and Objective Assessment of Trust in Human Autonomy Teaming.
IEEE Trans. Hum. Mach. Syst.
Julakha Jahan Jui, Imali T. Hettiarachchi, Asim Bhatti, Mohamed Ragab Mahmoud Farghaly, Douglas C. Creighton
2025 J jnl
Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis.
Comput.
Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Siamak Pedrammehr, Adnan Anwar, Hailing Zhou, Lei Wei, Asim Bhatti, Sam Oladazimi, Burhan Khan, Saeid Nahavandi
2025 J jnl
PLVNet: EEG-based trust classification using Phase Locking Value connectivity and deep neural networks.
Comput. Biol. Medicine
Julakha Jahan Jui, Imali T. Hettiarachchi, Asim Bhatti, Douglas C. Creighton
2025 B conf
Real-Time Assessment of Trust using EEG and Artificial Neural Network.
IJCNN
Julakha Jahan Jui, Imali T. Hettiarachchi, Asim Bhatti, Mohamed Ragab Mahmoud Farghaly
2025 J jnl
Stance classification: a comparative study and use case on Australian parliamentary debates.
J. Comput. Soc. Sci.
Stephanie Ng, James Zhang, Samson Yu, Asim Bhatti, Kathryn Backholer, C. P. Lim
2024 J jnl
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approach.
Biomed. Signal Process. Control.
Danial Sharifrazi, Nouman Javed, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti
2024 J jnl
Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis.
CoRR
Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Siamak Pedrammehr, Adnan Anwar, Asim Bhatti, Saeid Nahavandi, Chee Peng Lim
2024 J jnl
Evaluating Operator Training Performance Using Recurrence Quantification Analysis of Autocorrelation Transformed Eye Gaze Data.
Hum. Factors
Rakesh Veerabhadrappa, Imali T. Hettiarachchi, Samer Hanoun, Dawei Jia, Simon G. Hosking, Asim Bhatti
2024 J jnl
Flight traits of dengue-infected Aedes aegypti mosquitoes.
Comput. Biol. Medicine
Nouman Javed, Adam J. López-Denman, Prasad N. Paradkar, Asim Bhatti
2024 J jnl
Functional Classification of Spiking Signal Data Using Artificial Intelligence Techniques: A Review.
CoRR
Danial Sharifrazi, Nouman Javed, Javad Hassannataj Joloudari, Roohallah Alizadehsani, Prasad N. Paradkar, Ru-San Tan, U. Rajendra Acharya, Asim Bhatti
2023 J jnl
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis.
CoRR
Danial Sharifrazi, Nouman Javed, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti
2023 J jnl
Fruit-CoV: An efficient vision-based framework for speedy detection and diagnosis of SARS-CoV-2 infections through recorded cough sounds.
Expert Syst. Appl.
Long H. Nguyen, Nhat Truong Pham, Van Huong Do, Liu Tai Nguyen, Thanh Tin Nguyen, Hai Nguyen, Ngoc Duy Nguyen, Thanh Thi Nguyen, Sy Dzung Nguyen, Asim Bhatti, Chee Peng Lim
2023 J jnl
Physiological Synchrony Predict Task Performance and Negative Emotional State during a Three-Member Collaborative Task.
Sensors
Mohammed Algumaei, Imali Hettiarachchi, Rakesh Veerabhadrappa, Asim Bhatti
2023 J jnl
The Neuroscience of Team Dynamics: Exploring Neurophysiological Measures for Assessing Team Performance.
IEEE Access
Mohammed Algumaei, Imali T. Hettiarachchi, Mohamed Farghaly, Asim Bhatti
2023 J jnl
Towards designing a generic and comprehensive deep reinforcement learning framework.
Appl. Intell.
Ngoc Duy Nguyen, Thanh Thi Nguyen, Nhat Truong Pham, Hai Nguyen, Dang Tu Nguyen, Thanh Dang Nguyen, Chee Peng Lim, Michael Johnstone, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi
2022 — conf
Gaze Convergence Based Collaborative Performance Prediction in a 3-Member Joint Activity Setting.
SysCon
Rakesh Veerabhadrappa, Imali T. Hettiarachchi, Asim Bhatti
2022 B conf
Physiological Compliance during a Three Member Collaborative Computer Task.
SMC
My Algumaei, Imali Hettiarachchi, Rakesh Veerabhadrappa, Asim Bhatti
2022 — conf
Using Eye-tracking To Investigate The Effect of Gaze Co-occurrence and Distribution on Collaborative Performance.
SysCon
Rakesh Veerabhadrappa, Imali T. Hettiarachchi, Asim Bhatti
2021 B conf
A Deep Convolutional Neural Network Model for Classification of Emotions from Electroencephalography Data.
SMC
Rakesh Veerabhadrappa, Imali T. Hettiarachchi, My Algumaei, Asim Bhatti
2021 — conf
Application Based Cigarette Detection on Social Media Platforms Using Machine Learning Algorithms.
FDSE
Muhammad Umer Hashmi, Ngoc Duy Nguyen, Michael Johnstone, Kathryn Backholer, Asim Bhatti
2021 — conf
Performance Quantification and Heart Rate Analysis in A Repeated-trial Simulation-based Training Task.
SysCon
Imali T. Hettiarachchi, Samer Hanoun, Rakesh Veerabhadrappa, Dawei Jia, Simon G. Hosking, Asim Bhatti
2021 — conf
Using Recurrence Quantification Analysis to Quantify the Physiological Synchrony in Dyadic ECG Data.
SysCon
Rakesh Veerabhadrappa, Imali T. Hettiarachchi, Asim Bhatti
2021 B conf
Wavelet Packet Energy Features for EEG-Based Emotion Recognition.
SMC
My Algumaei, Imali T. Hettiarachchi, Rakesh Veerabhadrappa, Asim Bhatti
2020 B conf
Robust Optimal Parameter Estimation (OPE) for Unsupervised Clustering of Spikes Using Neural Networks.
SMC
Masood Ul Hassan, Rakesh Veerabhadrappa, James Zhang, Asim Bhatti
2019 — conf
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery.
SysCon
Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi, Asim Bhatti, Glenn Guest
2019 J jnl
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery.
CoRR
Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi, Asim Bhatti, Glenn Guest
2018 — conf
A classifier approach to multi-screen switching based on low cost eye-trackers.
SysCon
Julie Iskander, Imali Hettiarachchi, Samer Hanoun, Mohammed Hossny, Sofia Nahavandi, Asim Bhatti
2018 B conf
Age-Related Effects of Multi-screen Setup on Task Performance and Eye Movement Characteristics.
SMC
Julie Iskander, Dawei Jia, Imali Hettiarachchi, Mohammed Hossny, Khaled Saleh, Saeid Nahavandi, Christopher J. Best, Simon G. Hosking, Benjamin Rice, Asim Bhatti, Samer Hanoun
2018 — conf
Eye behaviour as a hazard perception measure.
SysCon
Julie Iskander, Samer Hanoun, Imali Hettiarachchi, Mostafa Hossny, Khaled Saleh, H. Zhou, Sofia Nahavandi, Asim Bhatti
2018 B conf
Reliable Switching Mechanism for Low Cost Multi-screen Eye Tracking Devices via Deep Recurrent Neural Networks.
SMC
Khaled Saleh, Julie Iskander, Dawei Jia, Mohammed Hossny, Saeid Nahavandi, Christopher J. Best, Simon G. Hosking, Benjamin Rice, Asim Bhatti, Samer Hanoun
2018 J jnl
Task Assignment in Camera Networks: A Reactive Approach for Manufacturing Environments.
IEEE Syst. J.
Samer Hanoun, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi, Phillip Crothers, Gary Carroll
2018 B conf
The Study of Using Eye Movements to Control the Laparoscope Under a Haptically-Enabled Laparoscopic Surgery Simulation Environment.
SMC
Hailing Zhou, Lei Wei, Ran Cao, Samer Hanoun, Asim Bhatti, Yonghang Tai, Saeid Nahavandi
2017 — conf
A framework for designing active Pan-Tilt-Zoom (PTZ) camera networks for surveillance applications.
SysCon
Samer Hanoun, James Zhang, Vu Le, Burhan Khan, Michael Johnstone, Michael Fielding, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi
2017 J jnl
Hierarchical estimation of neural activity through explicit identification of temporally synchronous spikes.
Neurocomputing
Rakesh Veerabhadrappa, Asim Bhatti, Michael Berk, Susannah J. Tye, Saeid Nahavandi
2017 B conf
Multiclass EEG data classification using fuzzy systems.
FUZZ-IEEE
Thanh Nguyen, Imali Hettiarachchi, Abbas Khosravi, Syed Moshfeq Salaken, Asim Bhatti, Saeid Nahavandi
2016 J jnl
Target coverage in camera networks for manufacturing workplaces.
J. Intell. Manuf.
Samer Hanoun, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi, Phillip Crothers, Celeste Gloria Esparza
2015 — conf
Activity and Flight Trajectory Monitoring of Mosquito Colonies for Automated Behaviour Analysis.
ICONIP (4)
Burhan Khan, Julie Gaburro, Samer Hanoun, Jean-Bernard Duchemin, Saeid Nahavandi, Asim Bhatti
2015 J jnl
Automatic spike sorting by unsupervised clustering with diffusion maps and silhouettes.
Neurocomputing
Thanh Nguyen, Asim Bhatti, Abbas Khosravi, Sherif Haggag, Douglas C. Creighton, Saeid Nahavandi
2015 — conf
Dynamical Analysis of Neural Networks with Time-Varying Delays Using the LMI Approach.
ICONIP (3)
Lakshmanan Shanmugam, Chee Peng Lim, Asim Bhatti, David Yang Gao, Saeid Nahavandi
2015 — conf
Multivariate Autoregressive-based Neuronal Network Flow Analysis for In-vitro Recorded Bursts.
ICONIP (4)
Imali T. Hettiarachchi, Asim Bhatti, Paul A. Adlard, Saeid Nahavandi
2015 — conf
Noise level classification for EEG using Hidden Markov Models.
SoSE
Sherif Haggag, Shady M. K. Mohamed, Asim Bhatti, Hussein Haggag, Saeid Nahavandi
2015 — conf
Optimal Feature Subset Selection for Neuron Spike Sorting Using the Genetic Algorithm.
ICONIP (2)
Burhan Khan, Asim Bhatti, Michael Johnstone, Samer Hanoun, Douglas C. Creighton, Saeid Nahavandi
2015 — conf
Statistical Modelling of Artificial Neural Network for Sorting Temporally Synchronous Spikes.
ICONIP (3)
Rakesh Veerabhadrappa, Asim Bhatti, Chee Peng Lim, Thanh Thi Nguyen, Susannah J. Tye, Paul Monaghan, Saeid Nahavandi
2014 B conf
Neural signal analysis by landmark-based spectral clustering with estimated number of clusters.
IJCNN
Thanh Nguyen, Abbas Khosravi, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi
2014 — conf
Neural spike representation using Cepstrum.
SoSE
Sherif Haggag, Shady M. K. Mohamed, Asim Bhatti, Hussein Haggag, Saeid Nahavandi
2014 — conf
Neuron's Spikes Noise Level Classification Using Hidden Markov Models.
ICONIP (3)
Sherif Haggag, Shady M. K. Mohamed, Asim Bhatti, Hussein Haggag, Saeid Nahavandi
2014 — conf
Neurophysiology of Insects Using Microelectrode Arrays: Current Trends and Future Prospects.
ICONIP (3)
Julie Gaburro, Jean-Bernard Duchemin, Asim Bhatti, Peter Walker, Saeid Nahavandi
2014 — conf
Sparse Coding for Improved Signal-to-Noise Ratio in MRI.
ICONIP (3)
Fuleah A. Razzaq, Shady M. K. Mohamed, Asim Bhatti, Saeid Nahavandi
2014 J jnl
The impact of self-efficacy and perceived system efficacy on effectiveness of virtual training systems.
Behav. Inf. Technol.
Dawei Jia, Asim Bhatti, Saeid Nahavandi
2013 B conf
Cepstrum Based Unsupervised Spike Classification.
SMC
Sherif Haggag, Shady M. K. Mohamed, Asim Bhatti, Nong Gu, Hailing Zhou, Saeid Nahavandi
2013 J jnl
Human Performance Measures for Interactive Haptic-Audio-Visual Interfaces.
IEEE Trans. Haptics
Dawei Jia, Asim Bhatti, Saeid Nahavandi, Ben Horan
2013 — conf
Image Fusion Metrics: Evolution in a Nutshell.
UKSim
Mohammed Hossny, Saeid Nahavandi, Douglas C. Creighton, Asim Bhatti, Marwa Hassan
2013 B conf
Locally Sparsified Compressive Sensing for Improved MR Image Quality.
SMC
Fuleah A. Razzaq, Shady M. K. Mohamed, Asim Bhatti, Saeid Nahavandi
2013 — conf
Spike Sorting Using Hidden Markov Models.
ICONIP (1)
Hailing Zhou, Shady M. K. Mohamed, Asim Bhatti, Chee Peng Lim, Nong Gu, Sherif Haggag, Saeid Nahavandi
2012 B conf
Non-uniform sparsity in rapid compressive sensing MRI.
SMC
Fuleah A. Razzaq, Shady M. K. Mohamed, Asim Bhatti, Saeid Nahavandi
2012 Misc conf
Performance Evaluation of Multi-Frame Super-Resolution Algorithms.
DICTA
Kyle Nelson, Asim Bhatti, Saeid Nahavandi
2012 C conf
Super-resolution of a 3-dimensional scene from novel viewpoints.
ICARCV
Kyle Nelson, Asim Bhatti, Saeid Nahavandi
2010 — conf
Knowledge Visualization for Engineered Systems.
KES (1)
Saeid Nahavandi, Dawei Jia, Asim Bhatti
2010 C conf
Towards autonomous image fusion.
ICARCV
Mohammed Hossny, Saeid Nahavandi, Douglas C. Creighton, Asim Bhatti
2010 C conf
Wavelets/multiwavelets bases and correspondence estimation problem: An analytic study.
ICARCV
Asim Bhatti, Saeid Nahavandi, Mohammed Hossny
2009 Misc conf
MUSTe method for quantifying virtual environment training system efficacy.
OZCHI
Dawei Jia, Asim Bhatti, Saeid Nahavandi
2009 — conf
User-Centered Evaluation of a Virtual Environment Training System: Utility of User Perception Measures.
HCI (13)
Dawei Jia, Asim Bhatti, Chris Mawson, Saeid Nahavandi
2008 J jnl
Depth Estimation Using Multiwavelet Analysis Based Stereo Vision Approach.
Int. J. Wavelets Multiresolution Inf. Process.
Asim Bhatti, Saeid Nahavandi
2008 J jnl
Stereo Correspondence Estimation Using Multiwavelets Scale-Space Representation-Based Multiresolution Analysis.
Cybern. Syst.
Asim Bhatti, Saeid Nahavandi
2007 J jnl
3D depth estimation for visual inspection using wavelet transform modulus maxima.
Comput. Electr. Eng.
Asim Bhatti, Saeid Nahavandi, Yakov Frayman
2006 — conf
Stereo Image Matching Using Wavelet Scale-Space Representation.
CGIV
Asim Bhatti, Saeid Nahavandi
2003 Misc conf
Image Matching using TI Multi-wavelet Transform.
DICTA
Asim Bhatti, Saeid Nahavandi, Hong Zheng
2002 Misc conf
A unified approach for constructing multi-wavelets.
ICASSP
Hüseyin Özkaramanli, Asim Bhatti
2002 Misc conf
M-band multi-wavelets from spline super functions with approximation order.
ICASSP
Asim Bhatti, Hüseyin Özkaramanli
2002 J jnl
Multi-wavelets from B-spline super-functions with approximation order.
Signal Process.
Hüseyin Özkaramanli, Asim Bhatti, Bülent Bilgehan
2001 Misc conf
Alperts multi-wavelets from spline super-functions.
ICASSP
Hüseyin Özkaramanli, Asim Bhatti, Tarik Kabakli
2001 — conf
Multi-wavelets from spline super-functions with approximation order.
ISCAS (2)
Hüseyin Özkaramanli, Asim Bhatti, Bülent Bilgehan