Investigating the Role of Handheld Devices in the Accomplishment of Grid-Enabled Analysis Environment. - Ashiq Anjum; Arshad Ali 001; Tahir Azim; Ahsan Ikram; Julian J. Bunn; Harvey B. Newman; Conrad Steenberg; Michael Thomas 002 (GCC (2), 2003)

Distributed Analysis and Load Balancing System for Grid Enabled Analysis on Hand-Held Devices Using Multi-agents Systems. - Naveed Ahmad; Arshad Ali 001; Ashiq Anjum; Tahir Azim; Julian J. Bunn; Ali Hassan; Ahsan Ikram; Frank van Lingen; Richard McClatchey; Harvey B. Newman; Conrad Steenberg; Michael Thomas 002; et al. (GCC, 2004)

Process maturity for software project outsourcing. - Aatif Kamal; Arshad Ali 001; Ashiq Anjum; Fawad Nazir; Hafiz Farooq Ahmad; Hamid Abbas Burki; Hiroki Suguri; Umair Ali Shah; Tallat Hussain Tarar (ICWI, 2004)

JClarens: A Java Based Interactive Physics Analysis Environment for Data Intensive Applications. - Arshad Ali 001; Ashiq Anjum; Tahir Azim; Michael Thomas 002; Conrad Steenberg; Harvey B. Newman; Julian J. Bunn; Rizwan Haider; Waqas ur Rehman (ICWS, 2004)

Heterogeneous Relational Databases for a Grid-Enabled Analysis Environment. - Arshad Ali 001; Ashiq Anjum; Tahir Azim; Julian J. Bunn; Saima Iqbal; Richard McClatchey; Harvey B. Newman; S. Yousaf Shah; Tony Solomonides; Conrad Steenberg; Michael Thomas 002; Frank van Lingen; et al. (ICPP Workshops, 2005)

Resource Management Services for a Grid Analysis Environment. - Arshad Ali 001; Ashiq Anjum; Tahir Azim; Julian J. Bunn; Atif Mehmood; Richard McClatchey; Harvey B. Newman; Waqas ur Rehman; Conrad Steenberg; Michael Thomas 002; Frank van Lingen; Ian Willers; et al. (ICPP Workshops, 2005)

The Clarens Web Service Framework for Distributed Scientific Analysis in Grid Projects. - Frank van Lingen; Conrad Steenberg; Michael Thomas 002; Ashiq Anjum; Tahir Azim; Faisal Khan; Harvey B. Newman; Arshad Ali 001; Julian J. Bunn; Iosif Legrand (ICPP Workshops, 2005)

JClarens: A Java Framework for Developing and Deploying Web Services for Grid Computing. - Julian J. Bunn; Frank van Lingen; Harvey B. Newman; Conrad Steenberg; Michael Thomas 002; Arshad Ali 001; Ashiq Anjum; Tahir Azim; Faisal Khan; Waqas ur Rehman; Richard McClatchey; Jang-uk In (ICWS, 2005)

DIANA Scheduling Hierarchies for Optimizing Bulk Job Scheduling. - Ashiq Anjum; Richard McClatchey; Heinz Stockinger; Arshad Ali 001; Ian Willers; Michael Thomas 002; Muhammad Sagheer; Khawar Hasham; Omer Alvi (e-Science, 2006)

From Grid Middleware to a Grid Operating System. - Arshad Ali 001; Richard McClatchey; Ashiq Anjum; Irfan Habib; Kamran Soomro; Mohammed Asif; Ali Adil; Athar Mohsin (GCC, 2006)

A Multi Interface Grid Discovery System. - Arshad Ali 001; Ashiq Anjum; Julian J. Bunn; Faisal Khan; Richard McClatchey; Harvey B. Newman; Conrad Steenberg; Michael Thomas 002; Ian Willers (GRID, 2006)

Bulk Scheduling with the DIANA Scheduler - Ashiq Anjum; Richard McClatchey; Arshad Ali 001; Ian Willers (CoRR, 2006)

The Requirements for Ontologies in Medical Data Integration: A Case Study. - Ashiq Anjum; Peter Bloodsworth; Andrew Branson; Tamas Hauer; Richard McClatchey; Kamran Munir; Dmitri Rogulin; Jetendr Shamdasani (IDEAS, 2007)

Mobile Computing in Physics Analysis - An Indicator for eScience - Arshad Ali 001; Ashiq Anjum; Tahir Azim; Julian J. Bunn; Ahsan Ikram; Richard McClatchey; Harvey B. Newman; Conrad Steenberg; Michael Thomas 002; Ian Willers (CoRR, 2007)

PhantomOS: A Next Generation Grid Operating System - Irfan Habib; Kamran Soomro; Ashiq Anjum; Richard McClatchey; Arshad Ali 001; Peter Bloodsworth (CoRR, 2007)

Scheduling in Data Intensive and Network Aware (DIANA) Grid Environments - Richard McClatchey; Ashiq Anjum; Heinz Stockinger; Arshad Ali 001; Ian Willers; Michael Thomas 002 (CoRR, 2007)

Data Intensive and Network Aware (DIANA) Grid Scheduling. - Richard McClatchey; Ashiq Anjum; Heinz Stockinger; Arshad Ali 001; Ian Willers; Michael Thomas 002 (J. Grid Comput., 2007)

Data intensive and network aware (DIANA) grid scheduling. - Ashiq Anjum (2007)

A middleware agnostic infrastructure for neuro-imaging analysis. - Yasir Mehmood; Irfan Habib; Peter Bloodsworth; Ashiq Anjum; Tom Lansdale; Richard McClatchey (CBMS, 2009)

Reusable Services from the neuGRID Project for Grid-Based Health Applications. - Ashiq Anjum; Peter Bloodsworth; Irfan Habib; Tom Lansdale; Richard McClatchey; Yasir Mehmood (HealthGrid, 2009)

Research Traceability using Provenance Services for Biomedical Analysis. - Ashiq Anjum; Peter Bloodsworth; Andrew Branson; Irfan Habib; Richard McClatchey; Tony Solomonides; Kamran Soomro (HealthGrid, 2010)

Provenance Management for Neuroimaging Workflows in neuGrid. - Ashiq Anjum; Nik Bessis; Richard Hill; Richard McClatchey; Irfan Habib; Kamran Soomro; Peter Bloodsworth; Andrew Branson (3PGCIC, 2011)

Gluing Grids and Clouds Together: A Service-Oriented Approach. - Ashiq Anjum; Richard Hill; Richard McClatchey (EIDWT, 2011)

Context Parsing, Processing and Distribution in Clouds. - Saad Liaquat Kiani; Ashiq Anjum; Nik Bessis; Richard Hill; Michael Knappmeyer (INCoS, 2011)

Towards Context Caches in the Clouds. - Saad Liaquat Kiani; Ashiq Anjum; Kamran Munir; Richard McClatchey; Nick Antonopoulos (UCC, 2011)

Dot-base62x: A Compact Textual Representation of IPv6 Address for Clouds. - Zhenxing Liu; Lu Liu 001; James Hardy; Ashiq Anjum; Richard Hill; Nick Antonopoulos (UCC, 2011)

Large-Scale Context Provisioning: A Use-Case for Homogenous Cloud Federation. - Saad Liaquat Kiani; Ashiq Anjum; Nik Bessis; Richard Hill (CISIS, 2012)

A Service Oriented Analysis Environment for Neuroimaging Studies. - Ashiq Anjum; Nik Bessis; Richard McClatchey; Kamran Munir; Irfan Habib; Andrew Branson; Jetendr Shamdasani (IMIS, 2012)

Improving Cloud Datacentre Scalability, Agility and Performance Using OpenFlow. - Charlie Baker; Ashiq Anjum; Richard Hill; Nik Bessis; Saad Liaquat Kiani (INCoS, 2012)

CMS Workflow Execution using Intelligent Job Scheduling and Data Access Strategies - Khawar Hasham; Antonio Delgado Peris; Ashiq Anjum; Dave Evans; Dirk Hufnagel; Eduardo Huedo; José M. Hernández; Richard McClatchey; Stephen Gowdy; Simon Metson (CoRR, 2012)

A Fault Tolerant, Dynamic and Low Latency BDII Architecture for Grids - Asif Osman; Ashiq Anjum; Naheed Batool; Richard McClatchey (CoRR, 2012)

Research Traceability using Provenance Services for Biomedical Analysis - Ashiq Anjum; Peter Bloodsworth; Andrew Branson; Irfan Habib; Richard McClatchey; Tony Solomonides (CoRR, 2012)

Context-Aware Service Utilisation in the Clouds and Energy Conservation - Saad Liaquat Kiani; Ashiq Anjum; Nick Antonopoulos; Michael Knappmeyer; Nigel Baker; Richard McClatchey (CoRR, 2012)

Glueing grids and clouds together: a service-oriented approach. - Ashiq Anjum; Richard Hill; Richard McClatchey; Nik Bessis; Andrew Branson (Int. J. Web Grid Serv., 2012)

Intelligent techniques and architectures for autonomic clouds: introduction to the itaac special issue. - Nick Antonopoulos; Ashiq Anjum; Lee Gillam (J. Cloud Comput., 2012)

An architecture for integrated intelligence in urban management using cloud computing. - Zaheer Abbas Khan; David Ludlow; Richard McClatchey; Ashiq Anjum (J. Cloud Comput., 2012)

Context caches in the Clouds. - Saad Liaquat Kiani; Ashiq Anjum; Nick Antonopoulos; Kamran Munir; Richard McClatchey (J. Cloud Comput., 2012)

Dot-base62x: building a compact and user-friendly text representation scheme of ipv6 addresses for cloud computing. - Zhenxing Liu; Lu Liu 001; James Hardy; Ashiq Anjum; Richard Hill; Nick Antonopoulos (J. Cloud Comput., 2012)

Nature Inspired Self Organization for Adhoc Grids. - Tariq Abdullah; Ashiq Anjum; Nik Bessis; Stelios Sotiriadis; Koen Bertels (AINA, 2013)

SimIC: Designing a New Inter-cloud Simulation Platform for Integrating Large-Scale Resource Management. - Stelios Sotiriadis; Nik Bessis; Nick Antonopoulos; Ashiq Anjum (AINA, 2013)

Cloud Based Big Data Analytics for Smart Future Cities. - Zaheer Abbas Khan; Ashiq Anjum; Saad Liaquat Kiani (UCC, 2013)

Providing traceability for neuroimaging analyses. - Richard McClatchey; Andrew Branson; Ashiq Anjum; Peter Bloodsworth; Irfan Habib; Kamran Munir; Jetendr Shamdasani; Kamran Soomro (Int. J. Medical Informatics, 2013)

Intelligent grid enabled services for neuroimaging analysis. - Richard McClatchey; Irfan Habib; Ashiq Anjum; Kamran Munir; Andrew Branson; Peter Bloodsworth; Saad Liaquat Kiani (Neurocomputing, 2013)

Federated broker system for pervasive context provisioning. - Saad Liaquat Kiani; Ashiq Anjum; Michael Knappmeyer; Nik Bessis; Nikolaos Antonopoulos (J. Syst. Softw., 2013)

Energy conservation in mobile devices and applications: A case for context parsing, processing and distribution in clouds. - Saad Liaquat Kiani; Ashiq Anjum; Nik Bessis; Richard Hill; Michael Knappmeyer (Mob. Inf. Syst., 2013)

Performance simulation of a context provisioning middleware based on empirical measurements. - Eike Steffen Reetz; Michael Knappmeyer; Saad Liaquat Kiani; Ashiq Anjum; Nik Bessis; Ralf Tönjes (Simul. Model. Pract. Theory, 2013)

Adapting scientific workflow structures using multi-objective optimization strategies. - Irfan Habib; Ashiq Anjum; Richard McClatchey; Omer F. Rana (ACM Trans. Auton. Adapt. Syst., 2013)

Traffic Monitoring Using Video Analytics in Clouds. - Tariq Abdullah; Ashiq Anjum; M. Fahim Tariq; Yusuf Baltaci; Nikos Antonopoulos (UCC, 2014)

Effects of Virtualization on Network and Processor Performance Using Open vSwitch and Xen Server. - Adnan Noor Mian; Ali Mamoon; Raees Khan; Ashiq Anjum (UCC, 2014)

Context-aware service utilisation in the clouds and energy conservation. - Saad Liaquat Kiani; Ashiq Anjum; Nick Antonopoulos; Michael Knappmeyer (J. Ambient Intell. Humaniz. Comput., 2014)

A Platform for Analytics on Social Networks Derived from Organisational Calendar Data. - Dominic Davies-Tagg; Ashiq Anjum; Richard Hill (Big-Data Analytics and Cloud Computing, 2015)

Approaching the Internet of things (IoT): a modelling, analysis and abstraction framework. - Ahsan Ikram; Ashiq Anjum; Richard Hill; Nick Antonopoulos; Lu Liu 001; Stelios Sotiriadis (Concurr. Comput. Pract. Exp., 2015)

Towards cloud based big data analytics for smart future cities. - Zaheer Abbas Khan; Ashiq Anjum; Kamran Soomro; Muhammad Atif Tahir (J. Cloud Comput., 2015)

A cloud resource management model for the creation and orchestration of social communities. - Ahsan Ikram; Ashiq Anjum; Nik Bessis (Simul. Model. Pract. Theory, 2015)

Spatial frequency based video stream analysis for object classification and recognition in clouds. - Muhammad Usman Yaseen; Ashiq Anjum; Nick Antonopoulos (BDCAT, 2016)

High Performance Video Processing in Cloud Data Centres. - Muhammad Usman Yaseen; Muhammad Sarim Zafar; Ashiq Anjum; Richard Hill (SOSE, 2016)

Clinical and genomics data integration using meta-dimensional approach. - Moeez M. Subhani; Ashiq Anjum; Andreas Koop; Nick Antonopoulos (UCC, 2016)

Modeling and Analysis of a Deep Learning Pipeline for Cloud based Video Analytics. - Muhammad Usman Yaseen; Ashiq Anjum; Nick Antonopoulos (BDCAT, 2017)

Representing Variant Calling Format as Directed Acyclic Graphs to enable the use of cloud computing for efficient and cost effective genome analysis. - Sanna Aizad; Ashiq Anjum; Rizos Sakellariou (CCGrid, 2017)

Towards In-Transit Analytics for Industry 4.0. - Richard Hill; James Devitt; Ashiq Anjum; Muhammad K. Ali (iThings/GreenCom/CPSCom/SmartData, 2017)

Blockchain Standards for Compliance and Trust. - Ashiq Anjum; Manu Sporny; Alan Sill (IEEE Cloud Comput., 2017)

Big Data Analytics in Healthcare: A Cloud-Based Framework for Generating Insights. - Ashiq Anjum; Sanna Aizad; Bilal Arshad; Moeez M. Subhani; Dominic Davies-Tagg; Tariq Abdullah; Nikolaos Antonopoulos (Cloud Computing, 2nd Ed., 2017)

A Conceptual Framework for the Use of Graph Representation Within High Energy Physics Analysis. - Danielle Turvill; Lee Barnby; Ashiq Anjum (CCGrid, 2018)

Vertical Workflows: Service Orchestration across Cloud & Edge Resources. - Omer F. Rana; Manjerhussain Shaikh; Muhammad K. Ali; Ashiq Anjum; Luiz F. Bittencourt (FiCloud, 2018)

Edge Enhanced Deep Learning System for Large-Scale Video Stream Analytics. - Muhammad K. Ali; Ashiq Anjum; Muhammad Usman Yaseen; Ali Reza Zamani; Daniel Balouek-Thomert; Omer F. Rana; Manish Parashar (ICFEC, 2018)

Exploiting In-memory Systems for Genomic Data Analysis. - Zeeshan Ali Shah; Mohamed El-Kalioby; Tariq Faquih; Moustafa Shokrof; Shazia Subhani; Yasser Alnakhli; Hussain Aljafar; Ashiq Anjum; Mohamed Abouelhoda (IWBBIO (1), 2018)

Cloud-based scalable object detection and classification in video streams. - Muhammad Usman Yaseen; Ashiq Anjum; Omer F. Rana; Richard Hill (Future Gener. Comput. Syst., 2018)

An Inter-Cloud Meta-Scheduling (ICMS) Simulation Framework: Architecture and Evaluation. - Stelios Sotiriadis; Nik Bessis; Ashiq Anjum; Rajkumar Buyya (IEEE Trans. Serv. Comput., 2018)

A Deep Reinforcement Learning based Homeostatic System for Unmanned Position Control. - Priyanthi M. Dassanayake; Ashiq Anjum; Warren Manning; Craig Bower (BDCAT, 2019)

Modelling Genomics Datasets to Optimize Its Usage Patterns for Efficient Analytics. - Zeeshan Ali Shah; Ashiq Anjum; Mohamed Abouelhoda (ICAAI, 2019)

Exploring Network Embedding for Efficient Message Routing in Opportunistic Mobile Social Networks. - Bo Yuan 004; Ashiq Anjum; John Panneerselvam; Lu Liu 001 (ICDM Workshops, 2019)

Unsupervised Anomaly Thresholding from Reconstruction Errors. - Maryleen U. Ndubuaku; Ashiq Anjum; Antonio Liotta (IDCS, 2019)

Cloud-assisted Adaptive Stream Processing from Discriminative Representations. - Maryleen U. Ndubuaku; Ashiq Anjum; Antonio Liotta (SMC, 2019)

High Performance Dynamic Graph Model for Consistent Data Integration. - Bilal Arshad; Ashiq Anjum (UCC, 2019)

Intelligent Price Alert System for Digital Assets - Cryptocurrencies. - Sronglong Chhem; Ashiq Anjum; Bilal Arshad (UCC Companion, 2019)

Graph Data Modelling for Genomic Variants. - Sanna Aizad; Ashiq Anjum (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

A Cascade Learning Approach for Automated Detection of Locomotive Speed Sensor Using Imbalanced Data in ITS. - Bo Li; Sisi Zhou; Lifang Cheng; Rongbo Zhu; Tao Hu; Ashiq Anjum; Zheng He; Yongkai Zou (IEEE Access, 2019)

Language model-based automatic prefix abbreviation expansion method for biomedical big data analysis. - Xiaokun Du; Rongbo Zhu; Yanhong Li; Ashiq Anjum (Future Gener. Comput. Syst., 2019)

Intelligent augmented keyword search on spatial entities in real-life internet of vehicles. - Yanhong Li; Meng Wang; Rongbo Zhu; Ashiq Anjum; Xiaokun Du; Yuhe Feng; Changyin Luo; Shasha Tian (Future Gener. Comput. Syst., 2019)

Improved Kalman filter based differentially private streaming data release in cognitive computing. - Jun Wang 027; Jing Luo; Xiaozhu Liu; Yongkai Li; Shubo Liu; Rongbo Zhu; Ashiq Anjum (Future Gener. Comput. Syst., 2019)

Cloud-based video analytics using convolutional neural networks. - Muhammad Usman Yaseen; Ashiq Anjum; Mohsen M. Farid; Nick Antonopoulos (Softw. Pract. Exp., 2019)

Video Stream Analysis in Clouds: An Object Detection and Classification Framework for High Performance Video Analytics. - Ashiq Anjum; Tariq Abdullah; M. Fahim Tariq; Yusuf Baltaci; Nick Antonopoulos (IEEE Trans. Cloud Comput., 2019)

Deep Learning Hyper-Parameter Optimization for Video Analytics in Clouds. - Muhammad Usman Yaseen; Ashiq Anjum; Omer F. Rana; Nikolaos Antonopoulos (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Edge-enhanced analytics via latent space dimensionality reduction. - Maryleen U. Ndubuaku; Muhammad K. Ali; Ashiq Anjum; Antonio Liotta; Stephan Reiff-Marganiec (BDCAT, 2020)

Large-scale Data Integration Using Graph Probabilistic Dependencies (GPDs). - Muhammad Sadiq Hassan Zada; Bo Yuan 004; Ashiq Anjum; Muhammad Ajmal Azad; Wajahat Ali Khan; Stephan Reiff-Marganiec (BDCAT, 2020)

Explaining probabilistic Artificial Intelligence (AI) models by discretizing Deep Neural Networks. - Rabia Saleem; Bo Yuan 004; Fatih Kurugollu; Ashiq Anjum (UCC, 2020)

Multiclass Disease Predictions Based on Integrated Clinical and Genomics Datasets. - Moeez M. Subhani; Ashiq Anjum (CoRR, 2020)

Intelligent data fusion algorithm based on hybrid delay-aware adaptive clustering in wireless sensor networks. - Xiaozhu Liu; Rongbo Zhu; Ashiq Anjum; Jun Wang 027; Hao Zhang; Maode Ma (Future Gener. Comput. Syst., 2020)

Fog-Computing-Based Approximate Spatial Keyword Queries With Numeric Attributes in IoV. - Yanhong Li; Rongbo Zhu; Shiwen Mao; Ashiq Anjum (IEEE Internet Things J., 2020)

Deadline Constrained Video Analysis via In-Transit Computational Environments. - Ali Reza Zamani; Mengsong Zou; Javier Diaz Montes; Ioan Petri; Omer F. Rana; Ashiq Anjum; Manish Parashar (IEEE Trans. Serv. Comput., 2020)

3D object recognition for Virtual Reality based Digital Twins. - Ilyas Ashkir; Ben Roullier; Frank McQuade; Ashiq Anjum (BDCAT, 2021)

Blockchain-based distributed platform for accountable medical data sharing. - Azam Khan; Ashiq Anjum (UCC Companion, 2021)

Blockchain-Based Trust Edge Knowledge Inference of Multi-Robot Systems for Collaborative Tasks. - Jianan Li; Jun Wu 001; Jianhua Li 001; Ali Kashif Bashir; Md. Jalil Piran; Ashiq Anjum (IEEE Commun. Mag., 2021)

Virtual Reality based Digital Twin System for remote laboratories and online practical learning. - Claire Palmer; Ben Roullier; Muhammad Aamir 005; Leonardo Stella; Diala Uchenna; Ashiq Anjum; Frank McQuade; Keith Cox; Alex Calvert (CoRR, 2021)

Digital Twinning Remote Laboratories for Online Practical Learning. - Claire Palmer; Ben Roullier; Muhammed Aamir; Frank McQuade; Leonardo Stella; Ashiq Anjum (CoRR, 2021)

Embedded Data Imputation for Environmental Intelligent Sensing: A Case Study. - Laura Erhan; Mario Di Mauro; Ashiq Anjum; Ovidiu Bagdasar; Wei Song 007; Antonio Liotta (Sensors, 2021)

Explaining deep neural networks: A survey on the global interpretation methods. - Rabia Saleem; Bo Yuan 004; Fatih Kurugollu; Ashiq Anjum; Lu Liu 001 (Neurocomputing, 2022)

A unified graph model based on molecular data binning for disease subtyping. - Muhammad Sadiq Hassan Zada; Bo Yuan 004; Wajahat Ali Khan; Ashiq Anjum; Stephan Reiff-Marganiec; Rabia Saleem (J. Biomed. Informatics, 2022)

The least-used key selection method for information retrieval in large-scale Cloud-based service repositories. - Jiayan Gu; Ashiq Anjum; Yan Wu 009; Lu Liu 001; John Panneerselvam; Yao Lu; Bo Yuan 004 (J. Cloud Comput., 2022)

Cloud based scalable object recognition from video streams using orientation fusion and convolutional neural networks. - Muhammad Usman Yaseen; Ashiq Anjum; Giancarlo Fortino; Antonio Liotta; Amir Hussain 001 (Pattern Recognit., 2022)

RES: Real-Time Video Stream Analytics Using Edge Enhanced Clouds. - Muhammad K. Ali; Ashiq Anjum; Omer F. Rana; Ali Reza Zamani; Daniel Balouek-Thomert; Manish Parashar (IEEE Trans. Cloud Comput., 2022)

A Deep Learning Based Explainable Control System for Reconfigurable Networks of Edge Devices. - Priyanthi M. Dassanayake; Ashiq Anjum; Ali Kashif Bashir; Joseph Bacon; Rabia Saleem; Warren Manning (IEEE Trans. Netw. Sci. Eng., 2022)

Optimizing Data Distribution to Balance Scalability-Redundancy Trade-off for Collaborative Blockchain Storage. - Azam Khan; Ashiq Anjum (PerCom Workshops, 2023)

Optimization of service addition in multilevel index model for edge computing. - Jiayan Gu; Yan Wu 009; Ashiq Anjum; John Panneerselvam; Yao Lu; Bo Yuan 004 (Concurr. Comput. Pract. Exp., 2023)

Edge enhanced deep learning system for IoT edge device security analytics. - Naila Mukhtar; Mohamad Ali Mehrabi; Yinan Kong; Ashiq Anjum (Concurr. Comput. Pract. Exp., 2023)

Edge intelligence-enabled cyber-physical systems. - Rongbo Zhu; Ashiq Anjum; Hongxiang Li; Maode Ma (Concurr. Comput. Pract. Exp., 2023)

Edge-Enhanced QoS Aware Compression Learning for Sustainable Data Stream Analytics. - Maryleen U. Ndubuaku; Muhammad K. Ali; Ashiq Anjum; Lu Liu 001; Antonio Liotta; Omer F. Rana (IEEE Trans. Sustain. Comput., 2023)

Malware Family Classification with Explainable BERT (xBERT) Using API Calls. - Ruba Kharsa; Fatih Kurugollu; Ashiq Anjum; Abbes Amira; Ahmed Bouridane (BDCAT, 2024)

AI-Powered Federated Task Scheduling and Self-Healing Framework in Dynamic Cloud Systems. - Umit Demirbaga; Omer F. Rana; Ashiq Anjum; Gagangeet Singh Aujla (UCC, 2024)

Data Temperature Informed Streaming for Optimising Large-Scale Multi-Tiered Storage. - Dominic Davies-Tagg; Ashiq Anjum; Ali Zahir; Lu Liu 001; Muhammad Usman Yaseen; Nick Antonopoulos (Big Data Min. Anal., 2024)

An adaptive key selection method for the multilevel index model for effective service management in the cloud. - Jiayan Gu; Yan Wu 009; Ashiq Anjum; Lu Liu 001; John Panneerselvam; Yao Lu (Concurr. Comput. Pract. Exp., 2024)

Synaptic Modulation using Interspike Intervals Increases Energy Efficiency of Spiking Neural Networks. - Dylan Adams; Magda Zajaczkowska; Ashiq Anjum; Andrea Soltoggio; Shirin Dora (CoRR, 2024)

Physics Encoded Blocks in Residual Neural Network Architectures for Digital Twin Models. - Muhammad Saad Zia; Ashiq Anjum; Lu Liu 001; Anthony Conway; Anasol Peña-Ríos (CoRR, 2024)

OPT-CO: Optimizing pre-trained transformer models for efficient COVID-19 classification with stochastic configuration networks. - Ziquan Zhu; Lu Liu 001; Robert C. Free; Ashiq Anjum; John Panneerselvam (Inf. Sci., 2024)

NAIR: An Efficient Distributed Deep Learning Architecture for Resource Constrained IoT System. - Yucong Xiao; Daobing Zhang; Yunsheng Wang; Xuewu Dai; Zhipei Huang; Wuxiong Zhang; Yang Yang 001; Ashiq Anjum; Fei Qin (IEEE Internet Things J., 2024)

Automated visual quality assessment for virtual and augmented reality based digital twins. - Ben Roullier; Frank McQuade; Ashiq Anjum; Craig Bower; Lu Liu 001 (J. Cloud Comput., 2024)

SAS: Speculative Locality Aware Scheduling for I/O intensive scientific analysis in clouds. - Ali Zahir; Ashiq Anjum; Satish Narayana Srirama; Rajkumar Buyya (Future Gener. Comput. Syst., 2025)

Self-Regulated Adaptive Data Distribution for Redundant and Scalable Blockchain Storage. - Azam Khan; Ashiq Anjum; Aad van Moorsel (Distributed Ledger Technol. Res. Pract., 2025)

Physics encoded blocks in residual neural network architectures for digital twin models. - Muhammad Saad Zia; Corentin Houpert; Ashiq Anjum; Lu Liu 001; Anthony Conway; Anasol Peña-Ríos (Mach. Learn., 2025)

Stable graph based decision route explanation in siamese neural networks. - Rabia Saleem; Ashiq Anjum; Bo Yuan 004; Lu Liu 001 (Data Min. Knowl. Discov., 2025)