An effective heuristic for stockyard planning and machinery scheduling at a coal handling facility. - Samer Hanoun; Burhan Khan; Michael Johnstone; Saeid Nahavandi; Douglas C. Creighton (INDIN, 2013)

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)

Improved NSGA-III using neighborhood information and scalarization. - Burhan Khan; Michael Johnstone; Samer Hanoun; Chee Peng Lim; Douglas C. Creighton; Saeid Nahavandi (SMC, 2016)

Cohort analysis of simulation-based medical training for decision support. - James Zhang; Samer Hanoun; Burhan Khan; Douglas C. Creighton; Saeid Nahavandi; Kellie Britt; Karen D'Souza; Jon Watson; Richard Yanieri (SMC, 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)

A new decomposition-based evolutionary framework for many-objective optimization. - Burhan Khan; Samer Hanoun; Michael Johnstone; Chee Peng Lim; Douglas C. Creighton; Saeid Nahavandi (SysCon, 2017)

Multi-objective job shop scheduling using i-NSGA-III. - Burhan Khan; Samer Hanoun; Michael Johnstone; Chee Peng Lim; Douglas C. Creighton; Saeid Nahavandi (SysCon, 2018)

An Improved Scalarization-based Dominance Evolutionary Algorithm for Many-Objective Optimization. - Burhan Khan; Samer Hanoun; Michael Johnstone; Chee Peng Lim; Douglas C. Creighton; Saeid Nahavandi (SysCon, 2019)

A scalarization-based dominance evolutionary algorithm for many-objective optimization. - Burhan Khan; Samer Hanoun; Michael Johnstone; Chee Peng Lim; Douglas C. Creighton; Saeid Nahavandi (Inf. Sci., 2019)

Dynamic time warp-based clustering: Application of machine learning algorithms to simulation input modelling. - James Zhang; Michael Johnstone; Vu Le 001; Burhan Khan; Mohammad Anwar Hosen; Douglas C. Creighton; Jessica Carney; Andy Wilson; Michael Lynch (Expert Syst. Appl., 2021)

A Lightweight Deep Learning Model for Aerial Image classification and Its Application to UAV-based Disaster Management. - Xinjie Deng; Burhan Khan; Fazal Ghaffar; Yit Hong Choo; Tao Zhou (KES, 2024)

A Many-objective Evolutionary Algorithm Approach for Graph Visualization. - Burhan Khan; Michael Johnstone; Douglas C. Creighton (SysCon, 2024)

A new optimization approach based on neural architecture search to enhance deep U-Net for efficient road segmentation. - Narges Saeedizadeh; Seyed Mohammad Jafar Jalali; Burhan Khan; Parham Mohsenzadeh Kebria; Shady M. K. Mohamed (Knowl. Based Syst., 2024)

Performance Analysis of Different Graphs in Graph-Based Remaining Useful Life Prediction Model. - Abrar Mahi Al Rashid; Anwar Hosen; Burhan Khan (SysCon, 2025)

Analysing Prospects for Expansion in Bangladesh's Domestic Aviation Industry using Machine Learning and Prediction Intervals. - Nazmus Sakib; Mohammad Anwar Hosen; Nirjhar Gope; Burhan Khan; Bruce Gunn (SysCon, 2025)

Enhancing Biogas Energy Production Forecasting with Box-Cox Transformation and Prediction Interval Methods. - Nazmus Sakib; Mohammad Anwar Hosen; Burhan Khan; Bruce Gunn; Michael Johnstone (SysCon, 2025)

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)

Cutting-Edge Deep Learning Methods for Image-Based Object Detection in Autonomous Driving: In-Depth Survey. - Narges Saeedizadeh; Seyed Mohammad Jafar Jalali; Burhan Khan; Shady M. K. Mohamed (Expert Syst. J. Knowl. Eng., 2025)

Flood-Eye: Intelligent Segmentation and Area Estimation of Flooded Regions. - Fazal Ghaffar; Xinjie Deng; Burhan Khan; Tao Zhou; Yongze Song; Chee Peng Lim (IEEE Trans. Geosci. Remote. Sens., 2025)

A lightweight CNN model for UAV-based image classification. - Xinjie Deng; Michael Shi; Burhan Khan; Yit Hong Choo; Fazal Ghaffar; Chee Peng Lim (Soft Comput., 2025)