Professor Hissam Tawfik, Professor

Professor Hissam Tawfik

Professor

Hissam Tawfik is a Professor of Artificial Intelligence. He holds a PhD in Computer Engineering from the University of Manchester (then UMIST) and has a research track record of more than 150 refereed publications in reputable international journals and conference proceedings in Applied Artificial Intelligence, Biologically Inspired Systems, and Data Science.

Hissam currently leads the Computer Science and Artificial Intelligence research at the School of Built Environment, Engineering and Computing. Before joining Leeds Beckett University in 2015, Hissam worked for University of Salford and Liverpool Hope University.

Hissam is an editor of the International Journal of Future Generation Computer Systems (Elsevier), the International Journal of Neural Computing and Applications (Springer), and International Journal of Reliable Intelligent Environments (Springer). He is a visiting Professor at the University of Seville (Spain), and is a chair of the International Conference Series on Developments in eSystems Engineering (DESE).

Hissam is currently guest editing the journal special issue on " Special Issue on Expert Decision Making for Data Analytics with Applications"; International Journal of Applied Soft Computing (Elsevier), and the journal special issue on "Robotics, Sensors and Industry 4.0 "; Journal of Sensors, MDPI.

 

Current Teaching

  • Critical Perspectives on Information (Masters)
  • Intelligent Systems (Masters)

Research Interests

Current research projects led by Hissam Tawfik include the application of data science and machine learning techniques for weight management, healthy living and active ageing, and smart cities. Hissam has also been leading Innovate UK and Knowledge Transfer Partnership (KTP) funded projects involving the applications of data science and AI tools predictive analytics for business and smart grid applications.

Prof Tawfik’s recent editorial activities include a new Book (Springer) entitled 'Applications of Big Data Analytics' (by Alani, Tawfik, Saeed, and Anya, 2018) and the Proceedings of the 2019 International Conference on Developments in eSystems Engineering, IEEE.

Professor Hissam Tawfik, Professor

Selected Outputs

  • Singh B; Tawfik H (2020) Machine Learning Approach for the Early Prediction of the Risk of Overweight and Obesity in Young People. Springer International Publishing.

    https://doi.org/10.1007/978-3-030-50423-6_39

    View Repository Record

  • Yusuf AB; Kor AL; Tawfik H (2019) Development of a Simulation Experiment to Investigate In-Flight Startle using Fuzzy Cognitive Maps and Pupillometry. 14 July 2019 - 19 July 2019.

    https://doi.org/10.1109/IJCNN.2019.8851828

  • Singh B; Tawfik H (2019) A Machine Learning Approach for Predicting Weight Gain Risks in Young Adults. In: 2019 10th International Conference on Dependable Systems, Services and Technologies (DESSERT), 5 June 2019 - 7 June 2019. IEEE.

    https://doi.org/10.1109/dessert.2019.8770016

  • Baker T; García-Campos JM; Reina DG; Toral S; Tawfik H; Al-Jumeily D; Hussain A (2018) GreeAODV: An Energy Efficient Routing Protocol for Vehicular Ad Hoc Networks.

    https://doi.org/10.1007/978-3-319-95957-3_69

  • Anya O; Tawfik H (2018) An “Awareness” Environment for Clinical Decision Support in e-Health.

    https://doi.org/10.1007/978-3-319-78759-6_41

  • Reina DG; Toral SL; Tawfik H (2016) UAVs Deployment in Disaster Scenarios Based on Global and Local Search Optimization Algorithms. In: 2016 9th International Conference on Developments in eSystems Engineering (DeSE), 31 August 2016 - 2 September 2016. IEEE.

    https://doi.org/10.1109/dese.2016.34

  • Reid D; Tawfik H; Hussain AJ; Al-Askar H (2015) Forecasting Weather Signals Using a Polychronous Spiking Neural Network. Springer International Publishing.

    https://doi.org/10.1007/978-3-319-22180-9_12

  • Reid D; Hussain AJ; Tawfik H; Ghazali R (2014) Prediction of Physical Time Series Using Spiking Neural Networks. Springer International Publishing.

    https://doi.org/10.1007/978-3-319-09339-0_82

  • Reid D; Hussain AJ; Tawfik H; Ghazali R (2014) Prediction of physical time series using spiking neural networks.

    https://doi.org/10.1007/978-3-319-09339-0-82

  • Alaskar H; Hussain AJ; Paul FH; Al-Jumeily D; Tawfik H; Hamdan H (2014) Feature Analysis of Uterine Electrohystography Signal Using Dynamic Self-organised Multilayer Network Inspired by the Immune Algorithm. Springer International Publishing.

    https://doi.org/10.1007/978-3-319-09333-8_22

  • Alaskar H; Hussain AJ; Paul FH; Al-Jumeily D; Tawfik H; Hamdan H (2014) Feature analysis of uterine electrohystography signal using dynamic self-organised multilayer network inspired by the immune algorithm.

    https://doi.org/10.1007/978-3-319-09333-8-22

  • Huang R; Tawfik H; Hussain AJ; Al-Askar H (2014) The application of artificial immune systems for the prediction of premature delivery.

    https://doi.org/10.1007/978-3-319-09339-0-83

  • Reid D; Hussain AJ; Tawfik H (2013) Spiking neural networks for financial data prediction. In: 2013 International Joint Conference on Neural Networks (IJCNN 2013 - Dallas), 4 August 2013 - 9 August 2013. IEEE.

    https://doi.org/10.1109/ijcnn.2013.6707140

  • Anya O; Tawfik H; Nagar AK; Lootah KM (2012) A framework for practice-centred awareness and decision support in pervasive e-health. In: 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 5 January 2012 - 7 January 2012. IEEE.

    https://doi.org/10.1109/bhi.2012.6211742

  • Anya O; Tawfik H; Amin S; Nagar A; Shaalan K (2010) Context-aware knowledge modelling for decision support in e-health. In: 2010 International Joint Conference on Neural Networks (IJCNN), 18 July 2010 - 23 July 2010. IEEE.

    https://doi.org/10.1109/ijcnn.2010.5596556

  • Huang R; Tawfik H; Nagar AK (2010) A novel hybrid artificial immune inspired approach for online break-in fraud detection. Elsevier BV.

    https://doi.org/10.1016/j.procs.2010.04.307

  • Huang R; Tawfik H; Nagar A (2010) Electronic Fraud Detection for Video-on-Demand System Using Hybrid Immunology-Inspired Algorithms. Springer Berlin Heidelberg.

    https://doi.org/10.1007/978-3-642-14547-6_23

  • Anya O; Nagar A; Tawfik H (2008) An Approach for Enriching Information for Supporting Collaborative e-Work. Springer Berlin Heidelberg.

    https://doi.org/10.1007/978-3-540-69389-5_48

  • Tawfik H; Liatsis P (2006) Modelling Tactical Driving Manoeuvres with GA-INTACT. Springer Berlin Heidelberg.

    https://doi.org/10.1007/11758532_100

  • Tawfik H; Nagar A; Khan A (2005) Positioning temporary facilities using multi sub-population evolution.

  • (2018) Applications of Big Data Analytics. Springer International Publishing.

  • Tian D; Deng J; Vinod G; Santhosh TV; Tawfik H (2018) A Neural Networks Design Methodology for Detecting Loss of Coolant Accidents in Nuclear Power Plants. In: Applications of Big Data Analytics. Springer International Publishing, pp. 43-61.

  • Reina DG; Camp T; Munjal A; Toral SL; Tawfik H (2018) Evolutionary Deployment and Hill Climbing-Based Movements of Multi-UAV Networks in Disaster Scenarios. In: Applications of Big Data Analytics. Springer International Publishing, pp. 63-95.

  • Anya O; Tawfik H (2016) Leveraging Big Data Analytics for Personalized Elderly Care. In: Applied Computing in Medicine and Health. Elsevier, pp. 99-124.

  • Reid D; Hussain AJ; Tawfik H (In press) Financial Time Series Prediction Using Spiking Neural Networks. PLoS ONE, 9 (8), pp. e103656-e103656.

    https://doi.org/10.1371/journal.pone.0103656

  • Cong P; Zhang Y; Liu Z; Baker T; Tawfik H; Wang W; Xu K; Li R; Li F (2021) A deep reinforcement learning-based multi-optimality routing scheme for dynamic IoT networks. Computer Networks, 192 pp. 108057-108057.

    https://doi.org/10.1016/j.comnet.2021.108057

  • Mahoro Ntwari D; Gutierrez-Reina D; Toral Marín SL; Tawfik H (2021) Time Efficient Unmanned Aircraft Systems Deployment in Disaster Scenarios Using Clustering Methods and a Set Cover Approach. Electronics, 10 (4),

    https://doi.org/10.3390/electronics10040422

    View Repository Record

  • Alaskar H; Hussain AJ; Khan W; Tawfik H; Trevorrow P; Liatsis P; Sbaï Z (2020) A data science approach for reliable classification of neuro-degenerative diseases using gait patterns. Journal of Reliable Intelligent Environments, 6 (4), pp. 233-247.

    https://doi.org/10.1007/s40860-020-00114-1

  • Javed AR; Sarwar MU; Beg MO; Asim M; Baker T; Tawfik H (2020) A collaborative healthcare framework for shared healthcare plan with ambient intelligence. Human-centric Computing and Information Sciences, 10 (1),

    https://doi.org/10.1186/s13673-020-00245-7

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  • Khalaf M; Alaskar H; Hussain AJ; Baker T; Maamar Z; Buyya R; Liatsis P; Khan W; Tawfik H; Al-Jumeily D (2020) IoT-Enabled flood severity prediction via ensemble machine learning models. IEEE Access, 8 pp. 70375-70386.

    https://doi.org/10.1109/ACCESS.2020.2986090

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  • Kotb Y; Al Ridhawi I; Aloqaily M; Baker T; Jararweh Y; Tawfik H (2019) Cloud-Based Multi-Agent Cooperation for IoT Devices Using Workflow-Nets. Journal of Grid Computing, 17 (4), pp. 625-650.

    https://doi.org/10.1007/s10723-019-09485-z

  • Alsadhan A; Hussain A; Liatsis P; Alani M; Tawfik H; Kendrick P; Francis H (2019) Locally weighted classifiers for detection of neighbor discovery protocol distributed denial-of-service and replayed attacks. Transactions on Emerging Telecommunications Technologies

    https://doi.org/10.1002/ett.3700

  • Anya O; Tawfik H; Alani MM; Hu J (2019) Cybersecurity design considerations for cross-boundary clinical decision support. Journal of Reliable Intelligent Environments, 5 (2), pp. 91-103.

    https://doi.org/10.1007/s40860-019-00076-z

  • Tian D; Deng J; Vinod G; Santhosh TV; Tawfik H (2018) A constraint-based genetic algorithm for optimizing neural network architectures for detection of loss of coolant accidents of nuclear power plants. Neurocomputing, 322 pp. 102-119.

    https://doi.org/10.1016/j.neucom.2018.09.014

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  • Hussain AJ; Liatsis P; Khalaf M; Tawfik H; Al-Asker H (2018) A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting. Big Data Research, 14 pp. 81-92.

    https://doi.org/10.1016/j.bdr.2018.04.002

  • Baker T; Aldawsari B; Asim M; Tawfik H; Maamar Z; Buyya R (2018) Cloud-SEnergy: A bin-packing based multi-cloud service broker for energy efficient composition and execution of data-intensive applications. Sustainable Computing: Informatics and Systems, 19 pp. 242-252.

    https://doi.org/10.1016/j.suscom.2018.05.011

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  • Reina DG; Tawfik H; Toral SL (2018) Multi-subpopulation evolutionary algorithms for coverage deployment of UAV-networks. Ad Hoc Networks, 68 pp. 16-32.

    https://doi.org/10.1016/j.adhoc.2017.09.005

  • Baker T; Asim M; Tawfik H; Aldawsari B; Buyya R (2017) An energy-aware service composition algorithm for multiple cloud-based IoT applications. Journal of Network and Computer Applications, 89 pp. 96-108.

    https://doi.org/10.1016/j.jnca.2017.03.008

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  • Anya O; Tawfik H (2016) A model of medical practice for contextual knowledge sharing in collaborative healthcare. International Journal of Medical Engineering and Informatics, 8 (4), pp. 360-389.

    https://doi.org/10.1504/IJMEI.2016.079364

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  • Anya O; Tawfik H (2016) Designing for practice-based context-awareness in ubiquitous e-health environments. Computers and Electrical Engineering, 61 pp. 312-326.

    https://doi.org/10.1016/j.compeleceng.2016.08.012

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  • Tawfik H; Bruno D (2016) Editorial. International Journal of Medical Informatics, 6 (1), pp. III-IX.

    https://doi.org/10.1016/j.ijmedinf.2016.04.004

  • Baker T; Al-Dawsari B; Tawfik H; Reid D; Ngoko Y (2015) GreeDi: An energy efficient routing algorithm for big data on cloud. Ad Hoc Networks, 35 pp. 83-96.

    https://doi.org/10.1016/j.adhoc.2015.06.008

  • Tawfik H; Anya O (2015) Evaluating practice-centered awareness in cross-boundary telehealth decision support systems. Telematics and Informatics, 32 (3), pp. 486-503.

    https://doi.org/10.1016/j.tele.2014.11.002

  • Shaalan K; Al-Mansoori M; Tawfik H (2014) An awareness-raising E-learning approach for children living in a high diabetic population. Informatics for Health and Social Care, 39 (2), pp. 81-103.

    https://doi.org/10.3109/17538157.2013.858043

  • Tawfik H; Anya O; Nagar AK (2012) Understanding Clinical Work Practices for Cross-Boundary Decision Support in e-Health. IEEE Transactions on Information Technology in Biomedicine, 16 (4), pp. 530-541.

    https://doi.org/10.1109/titb.2012.2187673

  • Abbas G; Nagar AK; Tawfik H (2011) On unified quality of service resource allocation scheme with fair and scalable traffic management for multiclass Internet services. IET Communications, 5 (16), pp. 2371-2385.

    https://doi.org/10.1049/iet-com.2010.0163

  • Khan MS; Muyeba M; Coenen F; Reid D; Tawfik H (2011) Finding Associations in Composite Data Sets. International Journal of Data Warehousing and Mining, 7 (3), pp. 1-29.

    https://doi.org/10.4018/jdwm.2011070101

  • Anya O; Nagar A; Tawfik H (2011) Building adaptive systems for collaborative e-work: The e-Workbench approach. Intelligent Decision Technologies, 5 (1), pp. 83-100.

    https://doi.org/10.3233/idt-2011-0099

  • Abbas G; Nagar AK; Tawfik H; Goulermas JY (2010) Pricing and Unresponsive Flows Purging for Global Rate Enhancement. Journal of Electrical and Computer Engineering, 2010 pp. 1-10.

    https://doi.org/10.1155/2010/379652

  • Katebi M; Tawfik H; Katebi SD (2009) Limit Cycle Prediction Based on Evolutionary Multiobjective Formulation. Mathematical Problems in Engineering, 2009 pp. 1-17.

    https://doi.org/10.1155/2009/816707

  • Ghazali R; Hussain AJ; Liatsis P; Tawfik H (2008) The application of ridge polynomial neural network to multi-step ahead financial time series prediction. Neural Computing and Applications, 17 (3), pp. 311-323.

    https://doi.org/10.1007/s00521-007-0132-8

  • Tawfik H; Liatsis P (2008) An intelligent systems framework for prototyping tactical driving decisions. International Journal of Intelligent Systems Technologies and Applications, 5 (1/2), pp. 20-20.

    https://doi.org/10.1504/ijista.2008.018165

  • Liatsis P; Tawfik HM (1999) Two-dimensional road shape optimisation using genetic algorithms. Mathematics and Computers in Simulation, 51 (1-2), pp. 19-31.

    https://doi.org/10.1016/s0378-4754(99)00092-0