| Academic Title | Lecturer |
| Contact Information | Official Email: A.YUNAS@KARDAN.EDU.AF |
| Research Interests | AI, Machine Learning, Deep Learning, Statistics, Health Informatics, Data mining |
| Education | MSc in Computer Science (Big Data Science and Technology)
2019- 2020
University of Bradford
Ph.D. in computer science (AI, Machine Learning, Deep Learning, Data Science)
2020- 2023
University of Bradford
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| Service at Kardan University | Since October 2024 |
| Professional Experience | Teaching Assistant
University of Bradford
|
| Courses Taught | • Advance Machine Learning at the MSc level
• Statistics
• Software Development
• Data Science
|
| Recent Publications | 1- Early diagnosis and personalised treatment focusing on synthetic data modelling: novel visual learning approach in healthcare
AY Mahmoud, D Neagu, D Scrimieri, ARA Abdullatif
Computers in Biology and Medicine, Elsevier 164, 107295 2023
DOI: https://doi.org/10.1016/j.compbiomed.2023.107295
2- Preliminary introduction and implementation of novel machine learning algorithm utilising pareto principle: classification of small biomedical health-related datasets
AY Mahmoud
Springer Nature, UK Workshop on Computational Intelligence, 129-141 2022
DOI: https://doi.org/10.1007/978-3-031-55568-8_11
3- Machine Learning Experiments with Artificially Generated Big Data from Small Immunotherapy Datasets
AY Mahmoud, D Neagu, D Scrimieri, ARA Abdullatif
IEEE Xplore
2022 21st IEEE International Conference on Machine Learning and Applications 2022
DOI: https://doi.org/10.1109/ICMLA55696.2022.00165
4- Review of Immunotherapy Classification: Application Domains, Datasets, Algorithms and Software Tools from Machine Learning Perspective
AY Mahmoud, D Neagu, D Scrimieri, ARA Abdullatif
Google Scholar: http://bit.ly/46HhB5Q
ORCID: https://orcid.org/0000-0002-4088-08
1- Early diagnosis and personalised treatment focusing on synthetic data modelling: novel visual learning approach in healthcare
AY Mahmoud, D Neagu, D Scrimieri, ARA Abdullatif
Computers in Biology and Medicine, Elsevier 164, 107295 2023
DOI: https://doi.org/10.1016/j.compbiomed.2023.107295
2- Preliminary introduction and implementation of novel machine learning algorithm utilising pareto principle: classification of small biomedical health-related datasets
AY Mahmoud
Springer Nature, UK Workshop on Computational Intelligence, 129-141 2022
DOI: https://doi.org/10.1007/978-3-031-55568-8_11
3- Machine Learning Experiments with Artificially Generated Big Data from Small Immunotherapy Datasets
AY Mahmoud, D Neagu, D Scrimieri, ARA Abdullatif
IEEE Xplore
2022 21st IEEE International Conference on Machine Learning and Applications 2022
DOI: https://doi.org/10.1109/ICMLA55696.2022.00165
4- Review of Immunotherapy Classification: Application Domains, Datasets, Algorithms and Software Tools from Machine Learning Perspective
AY Mahmoud, D Neagu, D Scrimieri, ARA Abdullatif
IEEE Xplore
32nd Conference of Open Innovations Association (FRUCT), 152-161 2022
DOI: https://doi.org/10.23919/FRUCT56874.2022.9953853
5- Classification of imbalanced immunotherapy and health-related data utilising novel machine learning experiments
AY Mahmoud
Springer Nature, UK Workshop on Computational Intelligence, 158-169
2022
DOI: https://doi.org/10.1007/978-3-031-55568-8_13
6- Novel efficient feature selection: Classification of medical and immunotherapy treatments utilising Random Forest and Decision Trees
AY Mahmoud
Intelligence-Based Medicine, Elsevier, 10, 100151
DOI: https://doi.org/10.1016/j.ibmed.2024.100151
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| Trainings & Workshops Attended | - 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022.
- UK Workshop on Computational Intelligence (UKCI), 2022.
- Conference of the Open Innovations Association (FRUCT), 2021 and 2022.
- Annual Innovative Engineering Research Conference (AIERC), 2021 and 2022.
- Several talks, poster presentations, workshops and laboratory courses: covering AI, Machine Learning, Statistics, etc
- Graduate Fellow: Learning, teaching and quality enhancement in higher education, University of Bradford
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