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Antesar Shabut

Dr

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Personal profile

Biography

Dr Antesar received her PhD degree from the University of Bradford, United Kingdom, in July 2015, which involved modelling computational trustworthiness evaluation techniques and recommender systems for mobile ad hoc environments. She received the MSc degree from Sheffield Hallam University, United Kingdom, in November 2008 in IT Consultancy. Prior to joining Leeds Trinity University as a lecturer, she was a research fellow at Anglia Ruskin University. Prior to this she was a research assistant at the University of West of Scotland and she also worked as a teaching and research assistant at the University of Bradford during her PhD study.

 

Research Interests

Dr Shabut’s current research interests lie in the areas of applied AI to mobile based intelligent systems, image processing, computer vision, and trust and cyber security modelling in distributed systems. She has published several papers in reputed journals and conferences.

Dr Shabut has recently worked on the TB Test project. This research was in partnership between Universiti Putra Malaysia and Anglia Ruskin University (where she did her postdoc experience) supported by the Newton Fund.
Watch Antesar talk about her work in the TB Test project. You can also read about this research in the Daily Telegraph report "Scienticts develop mobile phone app to diagnose TB".

Areas of research supervision

  • Cyber security in IoT networks and mobile ad hoc networks
  • Image recognition
  • Artificial intelligence and machine learning

Antesar supervised the following PhD researcher

  • Nazia Hameed
  • Md. Mahmudul Hasan
  • Marzia Hoque Tania

Qualifications

  • PhD degree from the University of Bradford
  • MSc degree from Sheffield Hallam University

Selected recent publications

Shabut, A. M., Kaiser, M. S., Dahal, K. P., & Chen, W. (2018). A multidimensional trust evaluation model for MANETs. Journal of Network and Computer Applications123, 32-41.

Shabut, A. M., Tania, M. H., Lwin, K. T., Evans, B. A., Yusof, N. A., Abu-Hassan, K. J., & Hossain, M. A. (2018). An intelligent mobile-enabled expert system for tuberculosis disease diagnosis in real time. Expert Systems with Applications114, 65-77.

Mahmud, M., Kaiser, M. S., Rahman, M. M., Rahman, M. A., Shabut, A., Al-Mamun, S., & Hussain, A. (2018). A Brain-Inspired Trust Management Model to Assure Security in a Cloud based IoT Framework for Neuroscience Applications. Cognitive Computation, 1-10.

Shabut, A. M.; Dahal, K.; Bista, S.; Awan, I., (2015). Recommendation Based Trust Model with an Effective Defence Scheme for MANETs, Mobile Computing, IEEE Transactions on, 14(10), 2101-2115. (This paper has been submitted for REF 2021 for the initial assessment and it gained 3.5* assessment

Tania, M. H., Lwin, K. T., Shabut, A. M. & Hossain, M. A. ,(2019), A Deep Learning Algorithms Enabled Scheme for Colourimetric Test, accepted by publication in DISP’19 conference, Oxford University, UK.

N. Hameed, A. M. Shabut, M. A. Hossain, “Multi-Class Skin Diseases Classification Using Deep Convolutional Neural Network and Support Vector Machine”, accepted for publication by 12th International Conference on Software, Knowledge, Information Management & Applications (SKIMA), Phnom Penh, Cambodia.

Marzia Hoque Tania, Khin T. Lwin, Antesar M. Shabut and M.A. Hossain, Clustering and Classification of a Qualitative Colorimetric Test, accepted for publication in IEEE International Conference on Computing, Electronics & Communications Engineering 2018 (iCCECE '18), University of Essex, Southend, UK

Nazia Hamid, Shabut, A. M., A computer aided diagnosis system for classifying prominent skin lesions using machine learning, accepted for publication in IEEE International Conference on Computing, Electronics & Communications Engineering 2018 (iCCECE '18), University of Essex, Southend, UK

Shabut, A. M., Dahal, K., Shamim Kaiser, M. & Hossain, M. A. (2017). Malicious Insider Threats in Tactical MANET: The Performance Analysis of DSR Routing Protocol. In 2017 fifth IEEE Region 10 (Asia Pacific) Humanitarian Technology Conference (R10HTC). 21-23 December.

Shabut, A. M., & Dahal, K. (2017). Social factors for data sparsity problem of trust models in MANETs. In 2017 International Conference on Computing, Networking and Communications (ICNC) (pp. 876–880). IEEE. 

Shabut, A. M., Lwin, K. T., & Hossain, M. A., (2016). Cyber attacks, countermeasures, and protection schemes — A state of the art survey. In 2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA) (pp. 37–44). IEEE.

Shaikh, A. N., Shabut, A. M., & Hossain, M. A., (2016). A literature review on phishing crime, prevention review and investigation of gaps. In 2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA) (pp. 9–15). IEEE. 

Shabut, A.; Dahal, K.; Bista, S.; Awan, I., Multidemintional Trust Metric using Social and QoS Trust, submitted to IEEE Transaction on Mobile Computing.

Shabut, A. M., Dahal, K., Awan, I., & Pervez, Z., (2015). Route optimasation based on multidimensional trust evaluation model in mobile ad hoc networks. Proceedings of IEEE Second International Conference on Information Security and Cyber Forensics (InfoSec) (pp. 28-34), 2015.

Shabut, A., Dahal K.P., Awan I., (2014). Friendship Based Trust Model to Secure Routing Protocols in Mobile Ad hoc Networks. Proceedings of IEEE International Conference on Future Internet of Things and Cloud (FICloud) - 2014, Barcelona, Spain, 2014.

Shabut, A., Dahal K.P., Awan I., (2013). Enhancing Dynamic Recommender Selection Using Multiple Rules for Trust and Reputation Models in MANETs. Proceedings of IEEE International Conference on Tools with Artificial Intelligence (ICTAI) - 2013, Washington DC, 2013.

Shabut, A., Dahal K.P., Awan I., (2012). A Trust-Based Monitoring Model for Mobile Ad hoc Networks. Proceedings of International conference on Software, Knowledge, Information Management and Applications (SKIMA 2012), China, 2012.

Education/Academic qualification

Doctor of Philosophy, University of Bradford

30 Apr 20168 Jul 2015

Award Date: 8 Jul 2015

Keywords

  • T Technology

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