Dr Syed Islam


NameDr Syed Islam
Job titleSenior Lecturer
Email addresss.islam@cs.ucl.ac.uk
Research instituteArchitecture, Computing & Engineering

Research outputs

Improving Student Engagement and Performance in Computing Final Year Projects

Naeem, U., Islam, S. and Siddiqui, A. 2019. Improving Student Engagement and Performance in Computing Final Year Projects. IEEE TALE 2019. Yogyakarta - Indonesia 10 - 13 Oct 2019 IEEE. https://doi.org/10.1109/TALE48000.2019.9225860

Semantic-Based Process Mining Technique for Annotation and Modelling of Domain Processes

Okoye, K., Islam, S., Naeem, U. and Sharif, S. 2020. Semantic-Based Process Mining Technique for Annotation and Modelling of Domain Processes. International Journal of Innovative Computing, Information and Control. 16 (3), pp. 899-921. https://doi.org/10.24507/ijicic.16.03.899

The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain

Okoye, Kingsley, Islam, S., Naeem, U., Sharif, M., Azam, Muhammad Awais and Karami, A. 2018. The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain. Arai, Kohei, Kapoor, Supriya and Bhatia, Rahul (ed.) Intelligent Systems Conference (IntelliSys) 2018. London, UK 06 - 07 Sep 2018 Springer, Cham. https://doi.org/10.1007/978-3-030-01054-6_96

Functional Connectivity Evaluation for Infant EEG Signals based on Artificial Neural Network

Sharif, M., Naeem, U., Islam, S. and Karami, A. 2018. Functional Connectivity Evaluation for Infant EEG Signals based on Artificial Neural Network. Arai, Kohei, Kapoor, Supriya and Bhatia, Rahul (ed.) Intelligent Systems Conference (IntelliSys) 2018. London, UK 06 - 07 Sep 2018 Springer, Cham. https://doi.org/10.1007/978-3-030-01057-7_34

gUML: Reasoning about Energy at Design Time by Extending UML Deployment Diagrams with Data Centre Contextual Information

Jebraeil, Nigar, Noureddine, A., Doyle, J., Islam, S. and Bashroush, R. 2017. gUML: Reasoning about Energy at Design Time by Extending UML Deployment Diagrams with Data Centre Contextual Information. in: 2017 IEEE World Congress on Services (SERVICES) Institute of Electrical and Electronics Engineers (IEEE). pp. In Press

Cloud Strife: Expanding the Horizons of Cloud Gaming Services

Doyle, J., Islam, S., Bashroush, R. and O'Mahony, Donal 2017. Cloud Strife: Expanding the Horizons of Cloud Gaming Services. in: 2017 IEEE World Congress on Services (SERVICES) Institute of Electrical and Electronics Engineers (IEEE).

Taskification – Gamification of Tasks

Naeem, U., Islam, S., Sharif, M., Sudakov, Sergey and Azam, Awais 2017. Taskification – Gamification of Tasks. in: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers ACM. pp. 631-634

SignalSense - Towards Quality Service

Islam, S., Sharif, M., Naeem, U. and Geehan, James 2017. SignalSense - Towards Quality Service. in: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers ACM. pp. 627-630

CrimeSafe - Helping you stay safe

Islam, S., Naeem, U., Sharif, M. and Dovnarovic, Arnold 2017. CrimeSafe - Helping you stay safe. in: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers ACM. pp. 642-645

Authentication of Smartphone Users Based on Activity Recognition and Mobile Sensing

Ehatisham-ul-Haq, Muhammad, Azam, Muhammad Awais, Loo, Jonathan, Shuang, Kai, Islam, S., Naeem, U. and Amin, Yasar 2017. Authentication of Smartphone Users Based on Activity Recognition and Mobile Sensing. Sensors. 17 (9), p. 2043. https://doi.org/10.3390/s17092043

Semantic-Based Model Analysis Towards Enhancing Information Values of Process Mining: Case Study of Learning Process Domain

Okoye, Kingsley, Tawila, Abdel-Rahman H., Naeem, U., Islam, S. and Lamine, Elyes 2017. Semantic-Based Model Analysis Towards Enhancing Information Values of Process Mining: Case Study of Learning Process Domain. in: Abraham, Ajith, Cherukuri, Aswani Kumar, Madureira, Ana Maria and Muda, Azah Kamilah (ed.) Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016) Springer, Cham.

Using semantic-based approach to manage perspectives of process mining: Application on improving learning process domain data

Kingsley, Okoye, Tawil, Abdel-Rahman H., Naeem, U., Islam, S. and Lamine, Elyes 2017. Using semantic-based approach to manage perspectives of process mining: Application on improving learning process domain data. in: 2016 IEEE International Conference on Big Data (Big Data) IEEE. pp. 3529-3538

Towards Cloud Security Monitoring: A Case Study

Ismail, Umar Mukhtar, Islam, S. and Islam, S. 2016. Towards Cloud Security Monitoring: A Case Study. in: 2016 Cybersecurity and Cyberforensics Conference (CCC) IEEE.

An empirical study on dependence clusters for effort-aware fault-proneness prediction

Yang, Yibiao, Harman, Mark, Krinke, Jens, Islam, S., Binkley, David, Zhou, Yuming and Xu, Baowen 2016. An empirical study on dependence clusters for effort-aware fault-proneness prediction. in: Lo, David, Apel, Sven and Khurshid, Sarfraz (ed.) ASE’16 Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering IEEE/ACM. pp. 296-307

Requirements for the formal representation of pathophysiology mechanisms by clinicians

de Bono, B., Helvensteijn, M., Kokash, N., Martorelli, I., Sarwar, D., Islam, S., Grenon, P. and Hunter, P. 2016. Requirements for the formal representation of pathophysiology mechanisms by clinicians. Interface Focus. 6 (2), p. 20150075. https://doi.org/10.1098/rsfs.2015.0099

Jolinar: Analysing the Energy Footprint of Software Applications (demo)

Noureddine, A., Islam, S. and Bashroush, R. 2016. Jolinar: Analysing the Energy Footprint of Software Applications (demo). in: Proceedings of the 25th International Symposium on Software Testing and Analysis New York, NY, USA ACM. pp. 445-448

Measuring energy footprint of software features

Islam, S., Noureddine, A. and Bashroush, Rabih 2016. Measuring energy footprint of software features. in: 2016 IEEE 24th International Conference on Program Comprehension (ICPC) IEEE.

PORBS: A parallel observation-based slicer

Islam, S. and Binkley, David 2016. PORBS: A parallel observation-based slicer. in: 2016 IEEE 24th International Conference on Program Comprehension (ICPC) IEEE.

ORBS and the limits of static slicing

Binkley, David, Gold, Nicolas, Harman, Mark, Islam, S., Krinke, Jens and Yoo, Shin 2015. ORBS and the limits of static slicing. in: 2015 IEEE 15th International Working Conference on Source Code Analysis and Manipulation (SCAM) IEEE. pp. 1-10

Uncovering Dependence Clusters and Linchpin Functions

Binkley, David, Beszédes, Árpád, Islam, S., Jász, Judit and Vancsics, Béla 2015. Uncovering Dependence Clusters and Linchpin Functions. in: 2015 IEEE 31st International Conference on Software Maintenance and Evolution (ICSME) IEEE. pp. 141-150

Less is more: Temporal fault predictive performance over multiple Hadoop releases

Harman, Mark, Islam, S., Jia, Yue, Minku, Leandro L., Sarro, Federica and Srivisut, Komsan 2014. Less is more: Temporal fault predictive performance over multiple Hadoop releases. in: Goues, Claire Le and Yoo, Shin (ed.) Search-Based Software Engineering Springer International Publishing.

ORBS: Language-Independent Program Slicing

Binkley, David, Gold, Nicolas, Harman, Mark, Islam, S., Krinke, Jens and Yoo, Shin 2014. ORBS: Language-Independent Program Slicing. in: Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering New York, NY, USA ACM. pp. 109-120

Coherent clusters in source code

Islam, S., Krinke, Jens, Binkley, David and Harman, Mark 2013. Coherent clusters in source code. Journal of Systems and Software. 88, pp. 1-24.

Efficient Identification of Linchpin Vertices in Dependence Clusters

Binkley, David, Gold, Nicolas, Harman, Mark, Islam, S., Krinke, Jens and Li, Zheng 2013. Efficient Identification of Linchpin Vertices in Dependence Clusters. ACM Transactions on Programming Languages and Systems. 35 (2), pp. 1-35.

Dependence Cluster Visualization

Islam, S., Krinke, Jens and Binkley, David 2010. Dependence Cluster Visualization. in: Proceedings of the 5th international symposium on Software visualization New York, NY, USA ACM. pp. 93-102

Assessing the impact of global variables on program dependence and dependence clusters

Binkley, David, Harman, Mark, Hassoun, Youssef, Islam, S. and Li, Zheng 2009. Assessing the impact of global variables on program dependence and dependence clusters. Journal of Systems and Software. 83 (1), pp. 96-107. https://doi.org/10.1016/j.jss.2009.03.038
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