Asim Bhatti

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 30

Top Topics

Unsupervised Clustering

Machine Learning

Top Venues

Publications

Danial Sharifrazi, Nouman Javed, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approach. Biomed. Signal Process. Control. 96 (2024)
Nouman Javed, Adam J. López-Denman, Prasad N. Paradkar, Asim Bhatti
Flight traits of dengue-infected Aedes aegypti mosquitoes. Comput. Biol. Medicine 171 (2024)
Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Siamak Pedrammehr, Adnan Anwar, Asim Bhatti, Saeid Nahavandi, Chee Peng Lim
Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis. CoRR (2024)
Rakesh Veerabhadrappa, Imali T. Hettiarachchi, Samer Hanoun, Dawei Jia, Simon G. Hosking, Asim Bhatti
Evaluating Operator Training Performance Using Recurrence Quantification Analysis of Autocorrelation Transformed Eye Gaze Data. Hum. Factors 66 (3) (2024)
Mohammed Algumaei, Imali T. Hettiarachchi, Mohamed Farghaly, Asim Bhatti
The Neuroscience of Team Dynamics: Exploring Neurophysiological Measures for Assessing Team Performance. IEEE Access 11 (2023)
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
Fruit-CoV: An efficient vision-based framework for speedy detection and diagnosis of SARS-CoV-2 infections through recorded cough sounds. Expert Syst. Appl. 213 (Part) (2023)
Ngoc Duy Nguyen, Thanh Nguyen, Nhat Truong Pham, Hai Nguyen, Dang Tu Nguyen, Thanh Thi Nguyen, Chee Peng Lim, Michael Johnstone, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi
Towards designing a generic and comprehensive deep reinforcement learning framework. Appl. Intell. 53 (3) (2023)
Danial Sharifrazi, Nouman Javed, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis. CoRR (2023)
Mohammed Algumaei, Imali Hettiarachchi, Rakesh Veerabhadrappa, Asim Bhatti
Physiological Synchrony Predict Task Performance and Negative Emotional State during a Three-Member Collaborative Task. Sensors 23 (4) (2023)
Rakesh Veerabhadrappa, Imali T. Hettiarachchi, Asim Bhatti
Gaze Convergence Based Collaborative Performance Prediction in a 3-Member Joint Activity Setting. SysCon (2022)
Rakesh Veerabhadrappa, Imali T. Hettiarachchi, Asim Bhatti
Using Eye-tracking To Investigate The Effect of Gaze Co-occurrence and Distribution on Collaborative Performance. SysCon (2022)
My Algumaei, Imali Hettiarachchi, Rakesh Veerabhadrappa, Asim Bhatti
Physiological Compliance during a Three Member Collaborative Computer Task. SMC (2022)
Rakesh Veerabhadrappa, Imali T. Hettiarachchi, My Algumaei, Asim Bhatti
A Deep Convolutional Neural Network Model for Classification of Emotions from Electroencephalography Data. SMC (2021)
Rakesh Veerabhadrappa, Imali T. Hettiarachchi, Asim Bhatti
Using Recurrence Quantification Analysis to Quantify the Physiological Synchrony in Dyadic ECG Data. SysCon (2021)
Imali T. Hettiarachchi, Samer Hanoun, Rakesh Veerabhadrappa, Dawei Jia, Simon Hosking, Asim Bhatti
Performance Quantification and Heart Rate Analysis in A Repeated-trial Simulation-based Training Task. SysCon (2021)
My Algumaei, Imali T. Hettiarachchi, Rakesh Veerabhadrappa, Asim Bhatti
Wavelet Packet Energy Features for EEG-Based Emotion Recognition. SMC (2021)
Muhammad Umer Hashmi, Ngoc Duy Nguyen, Michael Johnstone, Kathryn Backholer, Asim Bhatti
Application Based Cigarette Detection on Social Media Platforms Using Machine Learning Algorithms. FDSE (2021)
Masood Ul Hassan, Rakesh Veerabhadrappa, James Zhang, Asim Bhatti
Robust Optimal Parameter Estimation (OPE) for Unsupervised Clustering of Spikes Using Neural Networks. SMC (2020)
Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi, Asim Bhatti, Glenn Guest
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery. SysCon (2019)
Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi, Asim Bhatti, Glenn Guest
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery. CoRR (2019)
Julie Iskander, Dawei Jia, Imali Hettiarachchi, Mohammed Hossny, Khaled Saleh, Saeid Nahavandi, Christopher J. Best, Simon G. Hosking, Benjamin Rice, Asim Bhatti, Samer Hanoun
Age-Related Effects of Multi-screen Setup on Task Performance and Eye Movement Characteristics. SMC (2018)
Julie Iskander, Imali Hettiarachchi, Samer Hanoun, Mohammed Hossny, Sofia Nahavandi, Asim Bhatti
A classifier approach to multi-screen switching based on low cost eye-trackers. SysCon (2018)
Hailing Zhou, Lei Wei, Ran Cao, Samer Hanoun, Asim Bhatti, Yonghang Tai, Saeid Nahavandi
The Study of Using Eye Movements to Control the Laparoscope Under a Haptically-Enabled Laparoscopic Surgery Simulation Environment. SMC (2018)
Khaled Saleh, Julie Iskander, Dawei Jia, Mohammed Hossny, Saeid Nahavandi, Christopher J. Best, Simon G. Hosking, Benjamin Rice, Asim Bhatti, Samer Hanoun
Reliable Switching Mechanism for Low Cost Multi-screen Eye Tracking Devices via Deep Recurrent Neural Networks. SMC (2018)
Samer Hanoun, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi, Phillip Crothers, Gary Carroll
Task Assignment in Camera Networks: A Reactive Approach for Manufacturing Environments. IEEE Syst. J. 12 (1) (2018)
Julie Iskander, Samer Hanoun, Imali Hettiarachchi, Mostafa Hossny, Khaled Saleh, H. Zhou, Sofia Nahavandi, Asim Bhatti
Eye behaviour as a hazard perception measure. SysCon (2018)
Thanh Nguyen, Imali Hettiarachchi, Abbas Khosravi, Syed Moshfeq Salaken, Asim Bhatti, Saeid Nahavandi
Multiclass EEG data classification using fuzzy systems. FUZZ-IEEE (2017)
Samer Hanoun, James Zhang, Vu Le, Burhan Khan, Michael Johnstone, Michael Fielding, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi
A framework for designing active Pan-Tilt-Zoom (PTZ) camera networks for surveillance applications. SysCon (2017)
Rakesh Veerabhadrappa, Asim Bhatti, Michael Berk, Susannah J. Tye, Saeid Nahavandi
Hierarchical estimation of neural activity through explicit identification of temporally synchronous spikes. Neurocomputing 249 (2017)
Samer Hanoun, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi, Phillip Crothers, Celeste Gloria Esparza
Target coverage in camera networks for manufacturing workplaces. J. Intell. Manuf. 27 (6) (2016)
Imali T. Hettiarachchi, Asim Bhatti, Paul A. Adlard, Saeid Nahavandi
Multivariate Autoregressive-based Neuronal Network Flow Analysis for In-vitro Recorded Bursts. ICONIP (4) (2015)
Burhan Khan, Julie Gaburro, Samer Hanoun, Jean-Bernard Duchemin, Saeid Nahavandi, Asim Bhatti
Activity and Flight Trajectory Monitoring of Mosquito Colonies for Automated Behaviour Analysis. ICONIP (4) (2015)
Rakesh Veerabhadrappa, Asim Bhatti, Chee Peng Lim, Thanh Nguyen, Susannah J. Tye, Paul Monaghan, Saeid Nahavandi
Statistical Modelling of Artificial Neural Network for Sorting Temporally Synchronous Spikes. ICONIP (3) (2015)
Burhan Khan, Asim Bhatti, Michael Johnstone, Samer Hanoun, Douglas C. Creighton, Saeid Nahavandi
Optimal Feature Subset Selection for Neuron Spike Sorting Using the Genetic Algorithm. ICONIP (2) (2015)
Shanmugam Lakshmanan, Chee Peng Lim, Asim Bhatti, David Yang Gao, Saeid Nahavandi
Dynamical Analysis of Neural Networks with Time-Varying Delays Using the LMI Approach. ICONIP (3) (2015)
Thanh Nguyen, Asim Bhatti, Abbas Khosravi, Sherif Haggag, Douglas C. Creighton, Saeid Nahavandi
Automatic spike sorting by unsupervised clustering with diffusion maps and silhouettes. Neurocomputing 153 (2015)
Sherif Haggag, Shady M. K. Mohamed, Asim Bhatti, Hussein Haggag, Saeid Nahavandi
Noise level classification for EEG using Hidden Markov Models. SoSE (2015)
Julie Gaburro, Jean-Bernard Duchemin, Asim Bhatti, Peter Walker, Saeid Nahavandi
Neurophysiology of Insects Using Microelectrode Arrays: Current Trends and Future Prospects. ICONIP (3) (2014)
Thanh Nguyen, Abbas Khosravi, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi
Neural signal analysis by landmark-based spectral clustering with estimated number of clusters. IJCNN (2014)
Dawei Jia, Asim Bhatti, Saeid Nahavandi
The impact of self-efficacy and perceived system efficacy on effectiveness of virtual training systems. Behav. Inf. Technol. 33 (1) (2014)
Sherif Haggag, Shady M. K. Mohamed, Asim Bhatti, Hussein Haggag, Saeid Nahavandi
Neural spike representation using Cepstrum. SoSE (2014)
Fuleah A. Razzaq, Shady M. K. Mohamed, Asim Bhatti, Saeid Nahavandi
Sparse Coding for Improved Signal-to-Noise Ratio in MRI. ICONIP (3) (2014)
Sherif Haggag, Shady M. K. Mohamed, Asim Bhatti, Hussein Haggag, Saeid Nahavandi
Neuron's Spikes Noise Level Classification Using Hidden Markov Models. ICONIP (3) (2014)
Sherif Haggag, Shady M. K. Mohamed, Asim Bhatti, Nong Gu, Hailing Zhou, Saeid Nahavandi
Cepstrum Based Unsupervised Spike Classification. SMC (2013)
Dawei Jia, Asim Bhatti, Saeid Nahavandi, Ben Horan
Human Performance Measures for Interactive Haptic-Audio-Visual Interfaces. IEEE Trans. Haptics 6 (1) (2013)
Fuleah A. Razzaq, Shady M. K. Mohamed, Asim Bhatti, Saeid Nahavandi
Locally Sparsified Compressive Sensing for Improved MR Image Quality. SMC (2013)
Hailing Zhou, Shady M. K. Mohamed, Asim Bhatti, Chee Peng Lim, Nong Gu, Sherif Haggag, Saeid Nahavandi
Spike Sorting Using Hidden Markov Models. ICONIP (1) (2013)
Mohammed Hossny, Saeid Nahavandi, Douglas C. Creighton, Asim Bhatti, Marwa Hassan
Image Fusion Metrics: Evolution in a Nutshell. UKSim (2013)
Fuleah A. Razzaq, Shady M. K. Mohamed, Asim Bhatti, Saeid Nahavandi
Non-uniform sparsity in rapid compressive sensing MRI. SMC (2012)
Kyle Nelson, Asim Bhatti, Saeid Nahavandi
Super-resolution of a 3-dimensional scene from novel viewpoints. ICARCV (2012)
Kyle Nelson, Asim Bhatti, Saeid Nahavandi
Performance Evaluation of Multi-Frame Super-Resolution Algorithms. DICTA (2012)
Asim Bhatti, Saeid Nahavandi, Mohammed Hossny
Wavelets/multiwavelets bases and correspondence estimation problem: An analytic study. ICARCV (2010)
Saeid Nahavandi, Dawei Jia, Asim Bhatti
Knowledge Visualization for Engineered Systems. KES (1) (2010)
Mohammed Hossny, Saeid Nahavandi, Douglas C. Creighton, Asim Bhatti
Towards autonomous image fusion. ICARCV (2010)
Dawei Jia, Asim Bhatti, Chris Mawson, Saeid Nahavandi
User-Centered Evaluation of a Virtual Environment Training System: Utility of User Perception Measures. HCI (13) (2009)
Dawei Jia, Asim Bhatti, Saeid Nahavandi
MUSTe method for quantifying virtual environment training system efficacy. OZCHI (2009)
Asim Bhatti, Saeid Nahavandi
Stereo Correspondence Estimation Using Multiwavelets Scale-Space Representation-Based Multiresolution Analysis. Cybern. Syst. 39 (6) (2008)
Asim Bhatti, Saeid Nahavandi
Depth Estimation Using Multiwavelet Analysis Based Stereo Vision Approach. Int. J. Wavelets Multiresolution Inf. Process. 6 (3) (2008)
Asim Bhatti, Saeid Nahavandi, Yakov Frayman
3D depth estimation for visual inspection using wavelet transform modulus maxima. Comput. Electr. Eng. 33 (1) (2007)
Asim Bhatti, Saeid Nahavandi
Stereo Image Matching Using Wavelet Scale-Space Representation. CGIV (2006)
Asim Bhatti, Saeid Nahavandi, Hong Zheng
Image Matching using TI Multi-wavelet Transform. DICTA (2003)
Asim Bhatti, Hüseyin Özkaramanli
M-band multi-wavelets from spline super functions with approximation order. ICASSP (2002)
Hüseyin Özkaramanli, Asim Bhatti
A unified approach for constructing multi-wavelets. ICASSP (2002)
Hüseyin Özkaramanli, Asim Bhatti, Bülent Bilgehan
Multi-wavelets from B-spline super-functions with approximation order. Signal Process. 82 (8) (2002)
Hüseyin Özkaramanli, Asim Bhatti, Bülent Bilgehan
Multi-wavelets from spline super-functions with approximation order. ISCAS (2) (2001)
Hüseyin Özkaramanli, Asim Bhatti, Tarik Kabakli
Alperts multi-wavelets from spline super-functions. ICASSP (2001)