Mrs. Islam Daoud Suliman Abdalla is a dedicated research scholar and academic professional specialising in the fields of Artificial Intelligence, Machine Learning, and Computer Science. She holds a Ph.D. in Computer Science and Engineering with a specialisation in Machine Learning, supported by the prestigious ICCR Scholarship (2022). Her research interests include machine learning algorithms, classification, regression techniques, multimodal machine learning, reinforcement learning, and signal processing.

She has developed strong expertise in designing computational models, conducting experimental research, analysing complex datasets, and contributing to innovative AI-driven solutions. Her academic journey reflects a commitment to advancing technological research and promoting interdisciplinary applications of artificial intelligence.

She did bachelor's degree from Omdurman Islamic University in the Faculty of Computer Science and Information Technology in 2013 and also she has completed master's degree in information technology business intelligence (BI) from the Faculty of Mathematical Sciences and Informatics (LMS) at the University of Khartoum in 2020, Sudan

Teaching & Professional Experience

Mrs. Daoud has significant experience in higher education and academic training. She served as a Lecturer in the Faculty of Computer Science and Information Technology at Omdurman Islamic University, Sudan, from August 2020 to May 2022, where she contributed to teaching, student mentoring, curriculum delivery, and academic development.

Previously, she worked as a Teaching Assistant at the Faculty of Computer Science and Information Technology, Omdurman Islamic University, Sudan, from September 2015 to August 2020. She also served as an Assistant Trainer at International Africa University, Khartoum, Sudan, from February 2015 to February 2016, contributing to technical training and skill development programs.

Her professional strengths include leadership, communication, problem-solving, planning, time management, and effective academic coordination.

Research Contributions & Publications

Mrs. Daoud has made valuable contributions to the field of artificial intelligence and machine learning through her research publications. She has published 9 research papers with 55 citations, an h-index of 3, and an i10-index of 1.

Her research work includes advanced applications of machine learning in healthcare and predictive analytics. One of her notable research contributions, titled “An Integrated Machine Learning and Survival Analysis Framework for Heart Failure Classification and Prognosis,” focuses on developing intelligent computational approaches for disease prediction and clinical decision support.

Her research profile demonstrates a strong commitment to developing practical AI solutions with societal and scientific impact.

Certifications & Professional Development

To enhance her technical and research capabilities, Mrs. Daoud has completed more than 105 online Coursera projects, specialisations, and professional courses during 2023–2024, particularly in Deep Learning and Machine Learning.

She has also gained expertise in:

• Python Programming
• MATLAB
• Digital Communication
• Deep Learning Techniques
• Machine Learning Applications

These certifications highlight her continuous learning approach and dedication to staying updated with emerging technologies.

Conferences & Academic Engagements

Mrs. Daoud has actively participated in national and international academic conferences, including:

• 14th International Conference on Computing, Communication, and Networking Technologies (ICCCNT), IIT Delhi, India – 2024
• International Conference on Intelligent Mechatronics System and Robotics in Sustainable Development, Chennai, Tamil Nadu, India – 2023

Her participation reflects her commitment to global research collaboration and knowledge exchange.

Social Contribution & Volunteering

Apart from her academic achievements, Mrs. Daoud has contributed to community development through her volunteer work with Asham Alwatan Organization, Sudan (2015–2017), supporting social and humanitarian initiatives.

Eligibility for Women Researcher Award 

Mrs. Islam Daoud Suliman Abdalla is highly eligible for the Women Researcher Award in Scientific Laurels in recognition of her outstanding contributions to scientific research, particularly in Artificial Intelligence and Machine Learning.

Her eligibility is supported by:

• A Ph.D. in Computer Science and Engineering with a specialisation in Machine Learning.
• Strong research contributions with 9 publications, citations, and measurable academic impact.
• Innovative research in AI-based healthcare prediction and intelligent systems.
• International conference participation and global academic exposure.
• Extensive professional certifications and continuous advancement in emerging technologies.
• Significant teaching experience and mentorship contributions in computer science education.

Through her dedication to research excellence, innovation, and academic leadership, Mrs. Daoud represents the qualities of a promising woman researcher contributing meaningfully to scientific advancement and technological development.