Ashiq Anjum


NameAshiq Anjum
Job titleProfessor of Distributed Systems
Research instituteCollege of Science and Engineering

Research outputs

A unified graph model based on molecular data binning for disease subtyping

Hassan Zada, M., Yuan, B, Khan, W., Anjum, A., Reiff-Marganiec, S. and Saleem, R. 2022. A unified graph model based on molecular data binning for disease subtyping. Journal of Biomedical Informatics. pp. 1-24. https://doi.org/10.1016/j.jbi.2022.104187

Embedded Data Imputation for Environmental Intelligent Sensing: A Case Study

Erhan, Laura, Di Mauro, Mario, Anjum, Ashiq, Bagdasar, Ovidiu, Song, Wei and Liotta, Antonio 2021. Embedded Data Imputation for Environmental Intelligent Sensing: A Case Study. Sensors. 21 (23), p. 7774. https://doi.org/10.3390/s21237774

Explaining probabilistic Artificial Intelligence (AI) models by discretizing Deep Neural Networks

Saleem, Rabia, Yuan, Bo, Kurugollu, Fatih and Anjum, Ashiq 2020. Explaining probabilistic Artificial Intelligence (AI) models by discretizing Deep Neural Networks. IEEE. https://doi.org/10.1109/ucc48980.2020.00070

Large-scale Data Integration Using Graph Probabilistic Dependencies (GPDs)

Zada, Muhammad Sadiq Hassan, Yuan, Bo, Anjum, Ashiq, Azad, Muhammad Ajmal, Khan, Wajahat Ali and Reiff-Marganiec, Stephan 2020. Large-scale Data Integration Using Graph Probabilistic Dependencies (GPDs). IEEE. https://doi.org/10.1109/bdcat50828.2020.00028

Congestion prediction for smart sustainable cities using IoT and machine learning approaches

Majumdar, Sharmila, Subhani, Moeez M., Roullier, Benjamin, Anjum, Ashiq and Zhu, Rongbo 2020. Congestion prediction for smart sustainable cities using IoT and machine learning approaches. Sustainable Cities and Society. 64, p. 102500. https://doi.org/10.1016/j.scs.2020.102500

Exploring network embedding for efficient message routing in opportunistic mobile social networks

Yuan, Bo, Anjum, Ashiq, Panneerselvam, J. and Liu, Lu 2020. Exploring network embedding for efficient message routing in opportunistic mobile social networks. IEEE. https://doi.org/10.1109/ICDMW.2019.00077

Fog computing-based approximate spatial keyword queries with numeric attributes in IoV

Li, Yanhong, Zhu, Rongbo, Mao, Shiwen and Anjum, Ashiq 2020. Fog computing-based approximate spatial keyword queries with numeric attributes in IoV. IEEE Internet of Things. https://doi.org/10.1109/jiot.2020.2965730

A deep reinforcement learning based homeostatic system for unmanned position control

Manning, Warren, Anjum, Ashiq, Bower, Craig and Dassanayake, Priyanthi 2019. A deep reinforcement learning based homeostatic system for unmanned position control. Association for Computing Machinery.

Intelligent price alert system for digital assets - cryptocurrencies

Chhem, Sronglong, Anjum, Ashiq and Arshad, Bilal 2019. Intelligent price alert system for digital assets - cryptocurrencies. ACM Press. https://doi.org/10.1145/3368235.3368874

Intelligent data fusion algorithm based on hybrid delay-aware adaptive clustering in wireless sensor networks

Liu, Xiaozhu, Zhu, Rongbo, Anjum, Ashiq, Wang, Jun, Zhang, Hao and Ma, Maode 2019. Intelligent data fusion algorithm based on hybrid delay-aware adaptive clustering in wireless sensor networks. Future Generation Computer Systems. 104, pp. 1-14. https://doi.org/10.1016/j.future.2019.10.001

A cascade learning approach for automated detection of locomotive speed sensor using imbalanced data in ITS

Li, Bo, Zhou, Sisi, Cheng, Lifang, Zhu, Rongbo, Hu, Tao, Anjum, Ashiq, He, Zheng and Zou, Yongkai 2019. A cascade learning approach for automated detection of locomotive speed sensor using imbalanced data in ITS. IEEE Access. 7, pp. 90851-90862. https://doi.org/10.1109/access.2019.2928224

Multiclass disease predictions based on integrated clinical and genomics datasets

Anjum, Ashiq and Subhani, Moeez 2019. Multiclass disease predictions based on integrated clinical and genomics datasets. IARIA.

Improved Kalman filter based differentially private streaming data release in cognitive computing.

Wang, Jun, Luo, Jing, Liu, Xiaozhu, Li, Yongkai, Liu, Shubo, Zhu, Rongbo and Anjum, Ashiq 2019. Improved Kalman filter based differentially private streaming data release in cognitive computing. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2019.03.050

Language model-based automatic prefix abbreviation expansion method for biomedical big data analysis

Anjum, Ashiq 2019. Language model-based automatic prefix abbreviation expansion method for biomedical big data analysis. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2019.01.016

Graph data modelling for genomic variants

Anjum, Ashiq and Aizad, Sanna 2019. Graph data modelling for genomic variants.

Intelligent augmented keyword search on spatial entities in real-life internet of vehicles

Li, Yanhong, Wang, Meng, Du, Xiaokun, Feng, Yuhe, Luo, Changyin, Tian, Shasha, Anjum, Ashiq and Zhu, Rongbo 2018. Intelligent augmented keyword search on spatial entities in real-life internet of vehicles. Future Generation Computer Systems. 94, pp. 697-711. https://doi.org/10.1016/j.future.2018.12.051

Machine-learning-based side-channel evaluation of elliptic-curve cryptographic FPGA processor.

Mukhtar, Naila, Mehrabi, Mohamad, Kong, Yinan and Anjum, Ashiq 2018. Machine-learning-based side-channel evaluation of elliptic-curve cryptographic FPGA processor. Applied Sciences. 9 (1), p. 64. https://doi.org/10.3390/app9010064

Cloud-based video analytics using convolutional neural networks.

Yaseen, M., Anjum, Ashiq, Farid, Mohsen and Antonopoulos, Nick 2018. Cloud-based video analytics using convolutional neural networks. Software Practice and Experience. https://doi.org/10.1002/spe.2636

Deep learning hyper-parameter optimization for video analytics in clouds.

Yaseen, M., Anjum, Ashiq, Rana, Omer and Antonopoulos, Nikolaos 2018. Deep learning hyper-parameter optimization for video analytics in clouds. IEEE Transactions on Systems, Man, and Cybernetics. https://doi.org/10.1109/TSMC.2018.2840341

Edge enhanced deep learning system for large-scale video stream analytics.

Ali, Muhammad, Anjum, Ashiq, Yaseen, M. Usman, Zamani, A. Reza, Balouek-Thomert, Daniel, Rana, Omer and Parashar, Manish 2018. Edge enhanced deep learning system for large-scale video stream analytics. IEEE. https://doi.org/10.1109/CFEC.2018.8358733

Exploiting in-memory systems for gnomic data analysis.

Shah, Zeeshan Ali, El-Kalioby, Mohamed, Faquih, Tariq, Shokrof, Moustafa, Subhani, Shazia, Alnakhli, Yasser, Aljafar, Hussain, Anjum, Ashiq and Abouelhoda, Mohamed 2018. Exploiting in-memory systems for gnomic data analysis. Springer. https://doi.org/10.1007/978-3-319-78723-7_35

Modeling and analysis of a deep learning pipeline for cloud based video analytics.

Yaseen, M., Anjum, Ashiq and Antonopoulos, Nikolaos 2017. Modeling and analysis of a deep learning pipeline for cloud based video analytics. https://doi.org/10.1145/3148055.3148081

Blockchain standards for compliance and trust

Anjum, Ashiq, Sporny, Manu and Sill, Alan 2017. Blockchain standards for compliance and trust. IEEE Cloud Computing. https://doi.org/10.1109/MCC.2017.3791019

Representing variant calling format as directed acyclic graphs to enable the use of cloud computing for efficient and cost effective genome analysis

Aizad, Sanna, Anjum, Ashiq and Sakellariou, Rizos 2017. Representing variant calling format as directed acyclic graphs to enable the use of cloud computing for efficient and cost effective genome analysis. IEEE. https://doi.org/10.1109/CCGRID.2017.116

Cloud-based scalable object detection and classification in video streams

Yaseen, M., Anjum, Ashiq, Rana, Omer and Hill, Richard 2017. Cloud-based scalable object detection and classification in video streams. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2017.02.003

Deadline constrained video analysis via in-transit computational environments

Zamani, Ali Reza, Zou, Mengsong, Diaz-Montes, Javier, Petri, Ioan, Rana, Omer, Anjum, Ashiq and Parashar, Manish 2017. Deadline constrained video analysis via in-transit computational environments. IEEE Transactions on Services Computing. https://doi.org/10.1109/TSC.2017.2653116

Big data analytics in healthcare: A cloud based framework for generating insights

Anjum, Ashiq, Aizad, Sanna, Arshad, Bilal, Subhani, Moeez, Davies-Tagg, Dominic, Abdullah, Tariq and Antonopoulos, Nikolaos 2017. Big data analytics in healthcare: A cloud based framework for generating insights. in: Springer.

Spatial frequency based video stream analysis for object classification and recognition in clouds

Yaseen, M., Anjum, Ashiq and Antonopoulos, Nikolaos 2016. Spatial frequency based video stream analysis for object classification and recognition in clouds. IEEE.

Clinical and genomics data integration using meta-dimensional approach

Subhani, Moeez, Anjum, Ashiq, Koop, Andreas and Antonopoulos, Nikolaos 2016. Clinical and genomics data integration using meta-dimensional approach. Association for Computing Machinery. https://doi.org/10.1145/2996890.3007896

High performance video processing in cloud data centres

Yaseen, M., Zafar, Muhammad Sarim, Anjum, Ashiq and Hill, Richard 2016. High performance video processing in cloud data centres. IEEE. https://doi.org/10.1109/SOSE.2016.56

On the structure of periodic complex Horadam orbits

Bagdasar, Ovidiu, Larcombe, Peter J. and Anjum, Ashiq 2016. On the structure of periodic complex Horadam orbits. Carpathian Journal of Mathematics..

Video stream analysis in clouds: An object detection and classification framework for high performance video analytics

Anjum, Ashiq, Abdullah, Tariq, Tariq, M. Fahim, Baltaci, Yusuf and Antonopoulos, Nikolaos 2016. Video stream analysis in clouds: An object detection and classification framework for high performance video analytics. IEEE Transactions on Cloud Computing. https://doi.org/10.1109/TCC.2016.2517653

Towards cloud based big data analytics for smart future cities

Khan, Zaheer, Anjum, Ashiq, Tahir, Muhammad Atif and Soomro, Kamran Ahmed 2015. Towards cloud based big data analytics for smart future cities. Journal of Cloud Computing. https://doi.org/10.1186/s13677-015-0026-8

An Inter-Cloud Meta-Scheduling (ICMS) simulation framework: architecture and evaluation

Sotiriadis, Stelios, Bessis, Nik, Anjum, Ashiq and Buyya, Rajkumar 2015. An Inter-Cloud Meta-Scheduling (ICMS) simulation framework: architecture and evaluation. IEEE Transactions on Services Computing. https://doi.org/10.1109/TSC.2015.2399312

Big-Data analytics and cloud computing: Theory, algorithms and applications

Hill, Richard, Trovati, Marcello, Liu, Lu, Anjum, Ashiq and Zhu, Shao Ying 2015. Big-Data analytics and cloud computing: Theory, algorithms and applications. Springer.

A cloud resource management model for the creation and orchestration of social communities

Ikram, Ahsan, Anjum, Ashiq and Bessis, Nik 2015. A cloud resource management model for the creation and orchestration of social communities. Simulation Modelling Practice and Theory. https://doi.org/10.1016/j.simpat.2014.05.003

Traffic monitoring using video analytics in clouds

Abdullah, Tariq, Anjum, Ashiq, Tariq, M. Fahim, Baltaci, Yusuf and Antonopoulos, Nikolaos 2014. Traffic monitoring using video analytics in clouds. IEEE. https://doi.org/10.1109/UCC.2014.12

Intelligent grid enabled services for neuroimaging analysis

McClatchey, Richard, Habib, Irfan, Anjum, Ashiq, Munir, Kamran, Branson, Andrew, Bloodsworth, Peter and Kiani, Saad Liaquat 2013. Intelligent grid enabled services for neuroimaging analysis. Neurocomputing. https://doi.org/10.1016/j.neucom.2013.01.042

Providing traceability for neuroimaging analyses.

McClatchey, Richard, Branson, Andrew, Anjum, Ashiq, Bloodsworth, Peter, Habib, Irfan, Munir, Kamran, Shamdasani, Jetendr and Soomro, Kamran 2013. Providing traceability for neuroimaging analyses. International Journal of Medical Informatics.

Federated broker system for pervasive context provisioning

Kiani, Saad Liaquat, Anjum, Ashiq, Knappmeyer, Michael, Bessis, Nik and Antonopoulos, Nikolaos 2013. Federated broker system for pervasive context provisioning. Journal of Systems and Software. https://doi.org/10.1016/j.jss.2012.11.050

Adapting scientific workflow structures using multi-objective optimization strategies

Habib, Irfan, Anjum, Ashiq, Mcclatchey, Richard and Rana, Omer 2013. Adapting scientific workflow structures using multi-objective optimization strategies. ACM Transactions on Autonomous and Adaptive Systems. https://doi.org/10.1145/2451248.2451252

Energy conservation in mobile devices and applications: a case for context parsing, processing and distribution in clouds

Kiani, Saad Liaquat, Anjum, Ashiq, Bessis, Nik, Hill, Richard and Knappmeyer, Michael 2013. Energy conservation in mobile devices and applications: a case for context parsing, processing and distribution in clouds. Mobile Information Systems.

Approaching the Internet of things (IoT): a modelling, analysis and abstraction framework

Ikram, Ahsan, Anjum, Ashiq, Hill, Richard, Antonopoulos, Nikolaos, Liu, Lu and Sotiriadis, Stelios 2013. Approaching the Internet of things (IoT): a modelling, analysis and abstraction framework. Concurrency and Computation: Practice and Experience. https://doi.org/10.1002/cpe.3131

Context-aware service utilisation in the clouds and energy conservation.

Kiani, Saad Liaquat, Anjum, Ashiq, Antonopoulos, Nick and Knappmeyer, Michael 2012. Context-aware service utilisation in the clouds and energy conservation. Journal of Ambient Intelligence and Humanized Computing. https://doi.org/10.1007/s12652-012-0131-1

Dot-base62x: building a compact and user-friendly text representation scheme of ipv6 addresses for cloud computing

Liu, Zhenxing, Liu, Lu, Hardy, J., Anjum, Ashiq, Hill, Richard and Antonopoulos, Nikolaos 2012. Dot-base62x: building a compact and user-friendly text representation scheme of ipv6 addresses for cloud computing. Journal of Cloud Computing: Advances, Systems and Applications. https://doi.org/10.1186/2192-113X-1-3

Glueing grids and clouds together: a service-oriented approach

Anjum, Ashiq, Hill, Richard, McClatchey, Richard, Bessis, Nik and Branson, Andrew 2012. Glueing grids and clouds together: a service-oriented approach. International Journal of Web and Grid Services. https://doi.org/10.1504/IJWGS.2012.049169

Performance simulation of a context provisioning middleware based on empirical measurements

Reetz, Eike Steffen, Knappmeyer, Michael, Kiani, Saad Liaquat, Anjum, Ashiq, Bessis, Nik and Tönjes, Ralf 2012. Performance simulation of a context provisioning middleware based on empirical measurements. https://doi.org/10.1016/j.simpat.2012.03.002

CMS workflow execution using intelligent job scheduling and data access strategies.

Hasham, Khawar, Delgado Peris, Antonio, Anjum, Ashiq, Evans, Dave, Gowdy, Stephen, Hernandez, José M., Huedo, Eduardo, Hufnagel, Dirk, van Lingen, Frank, McClatchey, Richard and Metson, Simon 2011. CMS workflow execution using intelligent job scheduling and data access strategies. IEEE Transactions on Nuclear Science. https://doi.org/10.1109/TNS.2011.2146276

Data Intensive and Network Aware (DIANA) grid scheduling

McClatchey, Richard, Anjum, Ashiq, Stockinger, Heinz, Ali, Arshad, Willers, Ian and Thomas, Michael 2007. Data Intensive and Network Aware (DIANA) grid scheduling. Journal of Grid Computing. https://doi.org/10.1007/s10723-006-9059-z
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