Alperts multi-wavelets from spline super-functions. - Hüseyin Özkaramanli; Asim Bhatti; Tarik Kabakli (ICASSP, 2001)

Multi-wavelets from spline super-functions with approximation order. - Hüseyin Özkaramanli; Asim Bhatti; Bülent Bilgehan (ISCAS (2), 2001)

M-band multi-wavelets from spline super functions with approximation order. - Asim Bhatti; Hüseyin Özkaramanli (ICASSP, 2002)

A unified approach for constructing multi-wavelets. - Hüseyin Özkaramanli; Asim Bhatti (ICASSP, 2002)

Multi-wavelets from B-spline super-functions with approximation order. - Hüseyin Özkaramanli; Asim Bhatti; Bülent Bilgehan (Signal Process., 2002)

Image Matching using TI Multi-wavelet Transform. - Asim Bhatti; Saeid Nahavandi; Hong Zheng (DICTA, 2003)

Stereo Image Matching Using Wavelet Scale-Space Representation. - Asim Bhatti; Saeid Nahavandi (CGIV, 2006)

3D depth estimation for visual inspection using wavelet transform modulus maxima. - Asim Bhatti; Saeid Nahavandi; Yakov Frayman (Comput. Electr. Eng., 2007)

Stereo Correspondence Estimation Using Multiwavelets Scale-Space Representation-Based Multiresolution Analysis. - Asim Bhatti; Saeid Nahavandi (Cybern. Syst., 2008)

Depth Estimation Using Multiwavelet Analysis Based Stereo Vision Approach. - Asim Bhatti; Saeid Nahavandi (Int. J. Wavelets Multiresolution Inf. Process., 2008)

User-Centered Evaluation of a Virtual Environment Training System: Utility of User Perception Measures. - Dawei Jia; Asim Bhatti; Chris Mawson; Saeid Nahavandi (HCI (13), 2009)

MUSTe method for quantifying virtual environment training system efficacy. - Dawei Jia; Asim Bhatti; Saeid Nahavandi (OZCHI, 2009)

Wavelets/multiwavelets bases and correspondence estimation problem: An analytic study. - Asim Bhatti; Saeid Nahavandi; Mohammed Hossny (ICARCV, 2010)

Towards autonomous image fusion. - Mohammed Hossny; Saeid Nahavandi; Douglas C. Creighton; Asim Bhatti (ICARCV, 2010)

Knowledge Visualization for Engineered Systems. - Saeid Nahavandi; Dawei Jia; Asim Bhatti (KES (1), 2010)

Performance Evaluation of Multi-Frame Super-Resolution Algorithms. - Kyle Nelson; Asim Bhatti; Saeid Nahavandi (DICTA, 2012)

Super-resolution of a 3-dimensional scene from novel viewpoints. - Kyle Nelson; Asim Bhatti; Saeid Nahavandi (ICARCV, 2012)

Non-uniform sparsity in rapid compressive sensing MRI. - Fuleah A. Razzaq; Shady M. K. Mohamed; Asim Bhatti; Saeid Nahavandi (SMC, 2012)

Spike Sorting Using Hidden Markov Models. - Hailing Zhou; Shady M. K. Mohamed; Asim Bhatti; Chee Peng Lim; Nong Gu; Sherif Haggag; Saeid Nahavandi (ICONIP (1), 2013)

Cepstrum Based Unsupervised Spike Classification. - Sherif Haggag; Shady M. K. Mohamed; Asim Bhatti; Nong Gu; Hailing Zhou; Saeid Nahavandi (SMC, 2013)

Locally Sparsified Compressive Sensing for Improved MR Image Quality. - Fuleah A. Razzaq; Shady M. K. Mohamed; Asim Bhatti; Saeid Nahavandi (SMC, 2013)

Image Fusion Metrics: Evolution in a Nutshell. - Mohammed Hossny; Saeid Nahavandi; Douglas C. Creighton; Asim Bhatti; Marwa Hassan (UKSim, 2013)

Human Performance Measures for Interactive Haptic-Audio-Visual Interfaces. - Dawei Jia; Asim Bhatti; Saeid Nahavandi; Ben Horan (IEEE Trans. Haptics, 2013)

Neurophysiology of Insects Using Microelectrode Arrays: Current Trends and Future Prospects. - Julie Gaburro; Jean-Bernard Duchemin; Asim Bhatti; Peter Walker; Saeid Nahavandi (ICONIP (3), 2014)

Neuron's Spikes Noise Level Classification Using Hidden Markov Models. - Sherif Haggag; Shady M. K. Mohamed; Asim Bhatti; Hussein Haggag; Saeid Nahavandi (ICONIP (3), 2014)

Sparse Coding for Improved Signal-to-Noise Ratio in MRI. - Fuleah A. Razzaq; Shady M. K. Mohamed; Asim Bhatti; Saeid Nahavandi (ICONIP (3), 2014)

Neural signal analysis by landmark-based spectral clustering with estimated number of clusters. - Thanh Nguyen 004; Abbas Khosravi; Asim Bhatti; Douglas C. Creighton; Saeid Nahavandi (IJCNN, 2014)

Neural spike representation using Cepstrum. - Sherif Haggag; Shady M. K. Mohamed; Asim Bhatti; Hussein Haggag; Saeid Nahavandi (SoSE, 2014)

The impact of self-efficacy and perceived system efficacy on effectiveness of virtual training systems. - Dawei Jia; Asim Bhatti; Saeid Nahavandi (Behav. Inf. Technol., 2014)

Multivariate Autoregressive-based Neuronal Network Flow Analysis for In-vitro Recorded Bursts. - Imali T. Hettiarachchi; Asim Bhatti; Paul A. Adlard; Saeid Nahavandi (ICONIP (4), 2015)

Optimal Feature Subset Selection for Neuron Spike Sorting Using the Genetic Algorithm. - Burhan Khan; Asim Bhatti; Michael Johnstone; Samer Hanoun; Douglas C. Creighton; Saeid Nahavandi (ICONIP (2), 2015)

Activity and Flight Trajectory Monitoring of Mosquito Colonies for Automated Behaviour Analysis. - Burhan Khan; Julie Gaburro; Samer Hanoun; Jean-Bernard Duchemin; Saeid Nahavandi; Asim Bhatti (ICONIP (4), 2015)

Dynamical Analysis of Neural Networks with Time-Varying Delays Using the LMI Approach. - Shanmugam Lakshmanan; Chee Peng Lim; Asim Bhatti; David Yang Gao; Saeid Nahavandi (ICONIP (3), 2015)

Statistical Modelling of Artificial Neural Network for Sorting Temporally Synchronous Spikes. - Rakesh Veerabhadrappa; Asim Bhatti; Chee Peng Lim; Thanh Nguyen 004; Susannah J. Tye; Paul Monaghan; Saeid Nahavandi (ICONIP (3), 2015)

Noise level classification for EEG using Hidden Markov Models. - Sherif Haggag; Shady M. K. Mohamed; Asim Bhatti; Hussein Haggag; Saeid Nahavandi (SoSE, 2015)

Automatic spike sorting by unsupervised clustering with diffusion maps and silhouettes. - Thanh Nguyen 004; Asim Bhatti; Abbas Khosravi; Sherif Haggag; Douglas C. Creighton; Saeid Nahavandi (Neurocomputing, 2015)

Target coverage in camera networks for manufacturing workplaces. - Samer Hanoun; Asim Bhatti; Douglas C. Creighton; Saeid Nahavandi; Phillip Crothers; Celeste Gloria Esparza (J. Intell. Manuf., 2016)

Multiclass EEG data classification using fuzzy systems. - Thanh Nguyen 004; Imali Hettiarachchi; Abbas Khosravi; Syed Moshfeq Salaken; Asim Bhatti; Saeid Nahavandi (FUZZ-IEEE, 2017)

A framework for designing active Pan-Tilt-Zoom (PTZ) camera networks for surveillance applications. - Samer Hanoun; James Zhang; Vu Le 001; Burhan Khan; Michael Johnstone; Michael Fielding; Asim Bhatti; Douglas C. Creighton; Saeid Nahavandi (SysCon, 2017)

Hierarchical estimation of neural activity through explicit identification of temporally synchronous spikes. - Rakesh Veerabhadrappa; Asim Bhatti; Michael Berk; Susannah J. Tye; Saeid Nahavandi (Neurocomputing, 2017)

Age-Related Effects of Multi-screen Setup on Task Performance and Eye Movement Characteristics. - Julie Iskander; Dawei Jia; Imali Hettiarachchi; Mohammed Hossny; Khaled Saleh; Saeid Nahavandi; Christopher J. Best; Simon G. Hosking; Benjamin Rice; Asim Bhatti; Samer Hanoun (SMC, 2018)

Reliable Switching Mechanism for Low Cost Multi-screen Eye Tracking Devices via Deep Recurrent Neural Networks. - Khaled Saleh; Julie Iskander; Dawei Jia; Mohammed Hossny; Saeid Nahavandi; Christopher J. Best; Simon G. Hosking; Benjamin Rice; Asim Bhatti; Samer Hanoun (SMC, 2018)

The Study of Using Eye Movements to Control the Laparoscope Under a Haptically-Enabled Laparoscopic Surgery Simulation Environment. - Hailing Zhou; Lei Wei 002; Ran Cao; Samer Hanoun; Asim Bhatti; Yonghang Tai; Saeid Nahavandi (SMC, 2018)

A classifier approach to multi-screen switching based on low cost eye-trackers. - Julie Iskander; Imali Hettiarachchi; Samer Hanoun; Mohammed Hossny; Sofia Nahavandi; Asim Bhatti (SysCon, 2018)

Eye behaviour as a hazard perception measure. - Julie Iskander; Samer Hanoun; Imali Hettiarachchi; Mostafa Hossny; Khaled Saleh; H. Zhou; Sofia Nahavandi; Asim Bhatti (SysCon, 2018)

Task Assignment in Camera Networks: A Reactive Approach for Manufacturing Environments. - Samer Hanoun; Asim Bhatti; Douglas C. Creighton; Saeid Nahavandi; Phillip Crothers; Gary Carroll (IEEE Syst. J., 2018)

Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery. - Ngoc Duy Nguyen; Thanh Nguyen 004; Saeid Nahavandi; Asim Bhatti; Glenn Guest (SysCon, 2019)

Robust Optimal Parameter Estimation (OPE) for Unsupervised Clustering of Spikes Using Neural Networks. - Masood Ul Hassan; Rakesh Veerabhadrappa; James Zhang; Asim Bhatti (SMC, 2020)

Application Based Cigarette Detection on Social Media Platforms Using Machine Learning Algorithms. - Muhammad Umer Hashmi; Ngoc Duy Nguyen; Michael Johnstone; Kathryn Backholer; Asim Bhatti (FDSE, 2021)

Wavelet Packet Energy Features for EEG-Based Emotion Recognition. - My Algumaei; Imali T. Hettiarachchi; Rakesh Veerabhadrappa; Asim Bhatti (SMC, 2021)

A Deep Convolutional Neural Network Model for Classification of Emotions from Electroencephalography Data. - Rakesh Veerabhadrappa; Imali T. Hettiarachchi; My Algumaei; Asim Bhatti (SMC, 2021)

Performance Quantification and Heart Rate Analysis in A Repeated-trial Simulation-based Training Task. - Imali T. Hettiarachchi; Samer Hanoun; Rakesh Veerabhadrappa; Dawei Jia; Simon Hosking; Asim Bhatti (SysCon, 2021)

Using Recurrence Quantification Analysis to Quantify the Physiological Synchrony in Dyadic ECG Data. - Rakesh Veerabhadrappa; Imali T. Hettiarachchi; Asim Bhatti (SysCon, 2021)

Physiological Compliance during a Three Member Collaborative Computer Task. - My Algumaei; Imali Hettiarachchi; Rakesh Veerabhadrappa; Asim Bhatti (SMC, 2022)

Using Eye-tracking To Investigate The Effect of Gaze Co-occurrence and Distribution on Collaborative Performance. - Rakesh Veerabhadrappa; Imali T. Hettiarachchi; Asim Bhatti (SysCon, 2022)

Gaze Convergence Based Collaborative Performance Prediction in a 3-Member Joint Activity Setting. - Rakesh Veerabhadrappa; Imali T. Hettiarachchi; Asim Bhatti (SysCon, 2022)

The Neuroscience of Team Dynamics: Exploring Neurophysiological Measures for Assessing Team Performance. - Mohammed Algumaei; Imali T. Hettiarachchi; Mohamed Farghaly; Asim Bhatti (IEEE Access, 2023)

Towards designing a generic and comprehensive deep reinforcement learning framework. - Ngoc Duy Nguyen; Thanh Nguyen 004; Nhat Truong Pham; Hai Nguyen; Dang Tu Nguyen; Thanh Thi Nguyen 001; Chee Peng Lim; Michael Johnstone; Asim Bhatti; Douglas C. Creighton; Saeid Nahavandi (Appl. Intell., 2023)

Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis. - Danial Sharifrazi; Nouman Javed; Roohallah Alizadehsani; Prasad N. Paradkar; U. Rajendra Acharya; Asim Bhatti (CoRR, 2023)

Fruit-CoV: An efficient vision-based framework for speedy detection and diagnosis of SARS-CoV-2 infections through recorded cough sounds. - Long H. Nguyen; Nhat Truong Pham; Van Huong Do; Liu Tai Nguyen; Thanh Tin Nguyen; Hai Nguyen; Ngoc Duy Nguyen; Thanh Thi Nguyen 001; Sy Dzung Nguyen; Asim Bhatti; Chee Peng Lim (Expert Syst. Appl., 2023)

Physiological Synchrony Predict Task Performance and Negative Emotional State during a Three-Member Collaborative Task. - Mohammed Algumaei; Imali Hettiarachchi; Rakesh Veerabhadrappa; Asim Bhatti (Sensors, 2023)

Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approach. - Danial Sharifrazi; Nouman Javed; Roohallah Alizadehsani; Prasad N. Paradkar; U. Rajendra Acharya; Asim Bhatti (Biomed. Signal Process. Control., 2024)

Flight traits of dengue-infected Aedes aegypti mosquitoes. - Nouman Javed; Adam J. López-Denman; Prasad N. Paradkar; Asim Bhatti (Comput. Biol. Medicine, 2024)

Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis. - Mehshan Ahmed Khan; Houshyar Asadi; Mohammad Reza Chalak Qazani; Adetokunbo Arogbonlo; Siamak Pedrammehr; Adnan Anwar; Asim Bhatti; Saeid Nahavandi; Chee Peng Lim (CoRR, 2024)

Functional Classification of Spiking Signal Data Using Artificial Intelligence Techniques: A Review. - Danial Sharifrazi; Nouman Javed; Javad Hassannataj Joloudari; Roohallah Alizadehsani; Prasad N. Paradkar; Ru-San Tan; U. Rajendra Acharya; Asim Bhatti (CoRR, 2024)

Evaluating Operator Training Performance Using Recurrence Quantification Analysis of Autocorrelation Transformed Eye Gaze Data. - Rakesh Veerabhadrappa; Imali T. Hettiarachchi; Samer Hanoun; Dawei Jia; Simon G. Hosking; Asim Bhatti (Hum. Factors, 2024)

Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis. - Mehshan Ahmed Khan; Houshyar Asadi; Mohammad Reza Chalak Qazani; Adetokunbo Arogbonlo; Siamak Pedrammehr; Adnan Anwar; Hailing Zhou; Lei Wei 002; Asim Bhatti; Sam Oladazimi; Burhan Khan; Saeid Nahavandi (Comput., 2025)

Stance classification: a comparative study and use case on Australian parliamentary debates. - Stephanie Ng; James Zhang; Samson Yu 002; Asim Bhatti; Kathryn Backholer; C. P. Lim (J. Comput. Soc. Sci., 2025)