An adaptive harmonic broadcasting scheme with download and playback synchronisation for video on demand. - Mohammad Saiedur Rahaman; Ashfaqur Rahman; Sumaira Tasnim (Int. J. Multim. Intell. Secur., 2011)

Construction of Decision Trees by Using Feature Importance Value for Improved Learning Performance. - Md. Ridwan Al Iqbal; Mohammad Saiedur Rahaman; Syed Irfan Nabil (ICONIP (2), 2012)

A Coherent Distributed Grid Service for Assimilation and Unification of Heterogeneous Data Source - Tanvir Ahmed 001; Mohammad Saiedur Rahaman; Mohammad Saidur Rahman 001; Manzur H. Khan (CoRR, 2012)

An adaptive quasi harmonic broadcasting scheme with optimal bandwidth requirement. - Farzana Afrin; Mohammad Saiedur Rahaman (CoRR, 2014)

Student Satisfaction mining in a typical core course of Computer Science. - Farzana Afrin; Mohammad Saiedur Rahaman; Mohammad Saidur Rahman 001; Mashiour Rahman (CoRR, 2015)

Queue Context Prediction Using Taxi Driver Knowledge. - Mohammad Saiedur Rahaman; Margaret Hamilton 001; Flora D. Salim (K-CAP, 2017)

Predicting Imbalanced Taxi and Passenger Queue Contexts in Airport. - Mohammad Saiedur Rahaman; Margaret Hamilton 001; Flora D. Salim (PACIS, 2017)

CAPRA: A contour-based accessible path routing algorithm. - Mohammad Saiedur Rahaman; Yi Mei 001; Margaret Hamilton 001; Flora D. Salim (Inf. Sci., 2017)

CoAcT: A Framework for Context-Aware Trip Planning Using Active Transport. - Mohammad Saiedur Rahaman; Margaret Hamilton 001; Flora D. Salim (PerCom Workshops, 2018)

Wait Time Prediction for Airport Taxis Using Weighted Nearest Neighbor Regression. - Mohammad Saiedur Rahaman; Yongli Ren; Margaret Hamilton 001; Flora D. Salim (IEEE Access, 2018)

A Blockchain-Based Architecture for Integrated Smart Parking Systems. - Sabbir Ahmed; Soaibuzzaman; Mohammad Saidur Rahman 001; Mohammad Saiedur Rahaman (PerCom Workshops, 2019)

OccuSpace: Towards a Robust Occupancy Prediction System for Activity Based Workplace. - Mohammad Saiedur Rahaman; Harsh Pare; Jonathan Liono; Flora D. Salim; Yongli Ren; Jeffrey Chan; Shaw Kudo; Tim Rawling; Alex Sinickas (PerCom Workshops, 2019)

Using Big Spatial Data for Planning User Mobility. - Mohammad Saiedur Rahaman; Margaret Hamilton 001; Flora D. Salim (Encyclopedia of Big Data Technologies, 2019)

Deep Learning Assisted Memetic Algorithm for Shortest Route Problems. - Ayad Turky; Mohammad Saiedur Rahaman; Wei Shao 006; Flora D. Salim; Doug Bradbrook; Andy Song (ICCS (5), 2020)

Intelligent Task Recognition: Towards Enabling Productivity Assistance in Daily Life. - Jonathan Liono; Mohammad Saiedur Rahaman; Flora D. Salim; Yongli Ren; Damiano Spina; Falk Scholer; Johanne R. Trippas; Mark Sanderson; Paul N. Bennett; Ryen W. White (ICMR, 2020)

Transfer Learning for Thermal Comfort Prediction in Multiple Cities. - Nan Gao; Wei Shao 006; Mohammad Saiedur Rahaman; Jun Zhai; Klaus David; Flora D. Salim (CoRR, 2020)

Mining Student Responses to Infer Student Satisfaction Predictors. - Farzana Afrin; Mohammad Saiedur Rahaman; Margaret Hamilton 001 (CoRR, 2020)

Seating preference analysis for hybrid workplaces. - Mohammad Saiedur Rahaman; Shaw Kudo; Tim Rawling; Yongli Ren; Flora D. Salim (CoRR, 2020)

n-Gage: Predicting in-class Emotional, Behavioural and Cognitive Engagement in the Wild. - Nan Gao; Wei Shao 006; Mohammad Saiedur Rahaman; Flora D. Salim (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

An Ambient-Physical System to Infer Concentration in Open-Plan Workplace. - Mohammad Saiedur Rahaman; Jonathan Liono; Yongli Ren; Jeffrey Chan; Shaw Kudo; Tim Rawling; Flora D. Salim (IEEE Internet Things J., 2020)

CoSEM: Contextual and Semantic Embedding for App Usage Prediction. - Yonchanok Khaokaew; Mohammad Saiedur Rahaman; Ryen W. White; Flora D. Salim (CIKM, 2021)

Investigating the Reliability of Self-report Data in the Wild: The Quest for Ground Truth. - Nan Gao; Mohammad Saiedur Rahaman; Wei Shao 006; Flora D. Salim (UbiComp/ISWC Adjunct, 2021)

Forecasting Regional Level Solar Power Generation Using Advanced Deep Learning Approach. - Sarah Almaghrabi; Mashud Rana; Margaret Hamilton 001; Mohammad Saiedur Rahaman (IJCNN, 2021)

Spatially Aggregated Photovoltaic Power Prediction Using Wavelet and Convolutional Neural Networks. - Sarah Almaghrabi; Mashud Rana; Margaret Hamilton 001; Mohammad Saiedur Rahaman (IJCNN, 2021)

FADACS: A Few-Shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing. - Wei Shao 006; Sichen Zhao; Zhen Zhang; Shiyu Wang; Mohammad Saiedur Rahaman; Andy Song; Flora D. Salim (PerCom, 2021)

MoParkeR : Multi-objective Parking Recommendation. - Mohammad Saiedur Rahaman; Wei Shao 006; Flora D. Salim; Ayad Turky; Andy Song; Jeffrey Chan; Junliang Jiang; Doug Bradbrook (SSDBM, 2021)

Investigating the Reliability of Self-report Survey in the Wild: The Quest for Ground Truth. - Nan Gao; Mohammad Saiedur Rahaman; Wei Shao 006; Flora D. Salim (CoRR, 2021)

Imagining future digital assistants at work: A study of task management needs. - Yonchanok Khaokaew; Indigo Holcombe-James; Mohammad Saiedur Rahaman; Jonathan Liono; Johanne R. Trippas; Damiano Spina; Peter Bailey; Nicholas J. Belkin; Paul N. Bennett; Yongli Ren; Mark Sanderson; Falk Scholer; et al. (Int. J. Hum. Comput. Stud., 2022)

Solar power time series forecasting utilising wavelet coefficients. - Sarah Almaghrabi; Mashud Rana; Margaret Hamilton 001; Mohammad Saiedur Rahaman (Neurocomputing, 2022)

Individual and Group-wise Classroom Seating Experience: Effects on Student Engagement in Different Courses. - Nan Gao; Mohammad Saiedur Rahaman; Wei Shao 006; Kaixin Ji; Flora D. Salim (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

App usage on-the-move: Context- and commute-aware next app prediction. - Yufan Kang; Mohammad Saiedur Rahaman; Yongli Ren; Mark Sanderson; Ryen W. White; Flora D. Salim (Pervasive Mob. Comput., 2022)

Generative Adversarial Networks for Spatio-temporal Data: A Survey. - Nan Gao; Hao Xue 001; Wei Shao 006; Sichen Zhao; Kyle Kai Qin; Arian Prabowo; Mohammad Saiedur Rahaman; Flora D. Salim (ACM Trans. Intell. Syst. Technol., 2022)

A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality. - Kyle Kai Qin; Mohammad Saiedur Rahaman; Yongli Ren; Chi-Tsun Cheng; Ivan Cole; Flora D. Salim (MDM, 2023)

Spatial data trusts: an emerging governance framework for sharing spatial data. - Nenad Radosevic; Matt Duckham; Mohammad Saiedur Rahaman; Serene Ho; Katherine Williams; Tanzima Hashem; Yaguang Tao (Int. J. Digit. Earth, 2023)

WorkR: Occupation Inference for Intelligent Task Assistance. - Yonchanok Khaokaew; Hao Xue 001; Mohammad Saiedur Rahaman; Flora D. Salim (ISWC, 2024)

Multidimensional dynamic attention for multivariate time series forecasting. - Sarah Almaghrabi; Mashud Rana; Margaret Hamilton 001; Mohammad Saiedur Rahaman (Appl. Soft Comput., 2024)

Transferrable contextual feature clusters for parking occupancy prediction. - Wei Shao 006; Yu Zhang 034; Pengfei Xiao; Kyle Kai Qin; Mohammad Saiedur Rahaman; Jeffrey Chan; Bin Guo 001; Andy Song; Flora D. Salim (Pervasive Mob. Comput., 2024)

Multivariate solar power time series forecasting using multilevel data fusion and deep neural networks. - Sarah Almaghrabi; Mashud Rana; Margaret Hamilton 001; Mohammad Saiedur Rahaman (Inf. Fusion, 2024)