Shereen Fouad

    Accepting PhD Students

    PhD projects

    Looking for PhD students who want to explore and address research problems in the following topics:
    - Ethics and Data Bias in AI-enabled Healthcare Systems
    - Explainable Artificial Intelligence for computer vision tasks
    - Machine learning approaches in medical image analysis.

    Knowledge and skills required in a PhD applicant:
    - A minimum of a UK First or Upper Second-Class Honours undergraduate degree in computer science related field.
    - Experience and knowledge in machine learning design and development using one of the AI programming languages e.g. Python
    - Excellent communication skills to express ideas effectively, orally, graphically and in writing

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    • 2022

      Sentiment Analysis for Women in STEM using Twitter and Transfer Learning Models

      Fouad, S. & Alkooheji, E., 15 Dec 2022, (Accepted/In press) Proceedings - 2023 IEEE 17th International Conference on Semantic Computing (ICSC) . IEEE, 78. (IEEE International Conference on Semantic Computing Proceedings).

      Research output: Chapter in Book/Published conference outputConference publication

    • 2021

      Intrusion Detection for Industrial Control Systems by Machine Learning using Privileged Information

      Pordelkhaki, M., Fouad, S. & Josephs, M., 8 Oct 2021, 19th Annual IEEE International Conference on Intelligence and Security Informatics (ISI). IEEE

      Research output: Chapter in Book/Published conference outputConference publication

      Open Access
      File
    • Transfer Learning Approach for Detecting Psychological Distress in Brexit Tweets

      Palicki, S-K., Fouad, S., Adedoyin-Olowe, M. & S. Abdallah, Z., 22 Mar 2021, Proceedings of the 36th Annual ACM Symposium on Applied Computing, SAC 2021. ACM, p. 967–975 9 p. (Proceedings of the ACM Symposium on Applied Computing).

      Research output: Chapter in Book/Published conference outputConference publication

    • 2019

      A Framework of New Hybrid Features for Intelligent Detection of Zero Hour Phishing Websites

      Nagunwa, T., Naqvi, S., Fouad, S. & Shah, H., 28 Apr 2019, International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), Proceedings. Martínez Álvarez, F., Troncoso Lora, A., Quintián, H., Sáez Muñoz, J. A. & Corchado, E. (eds.). Springer, p. 36-46 11 p. (Advances in Intelligent Systems and Computing; vol. 951).

      Research output: Chapter in Book/Published conference outputConference publication

      Open Access
    • Epithelial segmentation from in situ hybridisation histological samples using a deep central attention learning approach

      Song, T. H., Landini, G., Fouad, S. & Mehanna, H., 11 Jul 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE, p. 1527-1531 5 p. 8759384. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

      Research output: Chapter in Book/Published conference outputConference publication

    • 2017

      Model-based correction of segmentation errors in digitised histological images

      Randell, D. A., Galton, A., Fouad, S., Mehanna, H. & Landini, G., 22 Jun 2017, Medical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Proceedings. Gonzalez-Castro, V. & Valdes Hernandez, M. (eds.). Springer, p. 718-730 13 p. (Communications in Computer and Information Science; vol. 723).

      Research output: Chapter in Book/Published conference outputConference publication

      Open Access
    • Unsupervised superpixel-based segmentation of histopathological images with consensus clustering

      Fouad, S., Randell, D., Galton, A., Mehanna, H. & Landini, G., 22 Jun 2017, Medical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Proceedings. Valdes Hernandez, M. & Gonzalez-Castro, V. (eds.). Springer, p. 767-779 13 p. (Communications in Computer and Information Science; vol. 723).

      Research output: Chapter in Book/Published conference outputConference publication

      Open Access
    • 2016

      Morphological separation of clustered nuclei in histological images

      Fouad, S., Landini, G., Randell, D. & Galton, A., 1 Jul 2016, Image Analysis and Recognition - 13th International Conference, ICIAR 2016, Proceedings. Campilho, A., Campilho, A. & Karray, F. (eds.). Springer, p. 599-607 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9730).

      Research output: Chapter in Book/Published conference outputConference publication

      Open Access
    • Ontological levels in histological imaging

      Galton, A., Landini, G., Randell, D. & Fouad, S., 2016, Formal Ontology in Information Systems - Proceedings of the 9th International Conference, FOIS 2016. Ferrario, R. & Kuhn, W. (eds.). IOS, p. 271-284 14 p. (Frontiers in Artificial Intelligence and Applications; vol. 283).

      Research output: Chapter in Book/Published conference outputConference publication

      Open Access
    • 2014

      Ordinal-based metric learning for learning using privileged information

      Fouad, S. & Tino, P., 9 Jan 2014, 2013 International Joint Conference on Neural Networks, IJCNN 2013. IEEE, 6706799. (Proceedings of the International Joint Conference on Neural Networks).

      Research output: Chapter in Book/Published conference outputConference publication

      Open Access
    • 2012

      Learning using privileged information in prototype based models

      Fouad, S., Tino, P., Raychaudhury, S. & Schneider, P., 2012, Artificial Neural Networks and Machine Learning, ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Proceedings. PART 2 ed. Springer, p. 322-329 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7553 LNCS, no. PART 2).

      Research output: Chapter in Book/Published conference outputConference publication

    • Prototype based modelling for ordinal classification

      Fouad, S. & Tino, P., 2012, Intelligent Data Engineering and Automated Learning, IDEAL 2012 - 13th International Conference, Proceedings. Springer, p. 208-215 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7435 LNCS).

      Research output: Chapter in Book/Published conference outputConference publication

    • 2004

      A parallel view maintenance algorithm for complete consistency

      Fouad, S. A., Karam, O. H. & El-Sharkawy, M. A., 7 Sep 2004, International Conference on Electrical, Electronic and Computer Engineering, 2004. ICEEC '04.. IEEE, p. 140-143 4 p. 1374403

      Research output: Chapter in Book/Published conference outputConference publication

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