University of Wollongong in Dubai, United Arab Emirates
Dr. Abeer Elkhouly is a dynamic researcher in Electrical, Computer, and Telecommunication Engineering, specializing in Artificial Intelligence, Data Analysis, Robotics, and Healthcare Technology. She completed her Ph.D. in Computer Engineering at Universiti Malaysia Perlis, where she developed advanced methods for intelligent feature selection and audiogram classification to support dementia hearing aid design. Her contributions extend across multiple funded projects in Malaysia and the UAE, with emphasis on AI-driven healthcare systems, autonomous robotics, and optimization techniques. Dr. Elkhouly has published in high-impact journals such as Scientific Reports and Applied Sciences, and presented at IEEE and Scopus-indexed conferences. She also serves as an editor for MethodsX (Elsevier), reviewer for IEEE, and organizer of international research forums. Beyond research, she actively mentors students, co-founded the Centre for Academic Integrity in the UAE, and engages with professional bodies including IEEE, ACM, and WATTLE, reinforcing her global academic influence.
Professional Profile
ORCID Profile | Google Scholar
Education
Dr. Abeer Elkhouly has built a strong academic foundation that bridges computer engineering, telecommunications, and artificial intelligence. She pursued her Ph.D. in Computer Engineering at Universiti Malaysia Perlis, Malaysia, where her research focused on advanced machine learning algorithms for intelligent feature selection and audiogram classification, particularly for dementia-related hearing challenges. Her doctoral work combined theoretical depth with practical healthcare applications, reflecting her passion for problem-solving in real-world contexts. Before her doctoral journey, she earned her Master’s and Bachelor’s degrees in Computer Engineering, establishing a clear path of academic excellence. Throughout her studies, she consistently integrated interdisciplinary approaches, combining signal processing, robotics, and optimization with biomedical engineering perspectives. Her education also included active participation in international workshops, seminars, and training programs, which broadened her global academic outlook. By blending rigorous technical expertise with innovative research themes, Dr. Elkhouly’s educational background forms a strong platform for her impactful contributions to both academia and industry.
Experience
Dr. Abeer Elkhouly’s professional journey reflects her ability to integrate teaching, research, and innovation across diverse environments. She has worked in academic institutions and research centers in Malaysia, Egypt, and the UAE, where she contributed as a lecturer, mentor, and researcher. Her academic career includes developing and delivering advanced courses in computer engineering, artificial intelligence, and robotics while guiding students in research and practical projects. Beyond teaching, she has played an active role in securing and contributing to competitive research grants, focusing on healthcare technology, optimization systems, and autonomous robotics. She is also engaged in editorial and reviewing roles, including serving as editor for MethodsX (Elsevier) and reviewer for IEEE and other indexed journals, reflecting her expertise in scholarly publishing. In addition, she actively organizes international conferences and academic integrity initiatives, expanding her leadership in professional networks. Her experience demonstrates a well-rounded blend of academic dedication, collaborative research, and global engagement.
Research Interest
Dr. Abeer Elkhouly’s research interests span across Artificial Intelligence, Data Science, and Intelligent Systems, with a strong focus on healthcare applications. She is deeply engaged in developing advanced algorithms for feature selection, classification, and optimization to solve complex problems in audiology, dementia care, and biomedical signal processing. Robotics and autonomous systems form another core of her research, particularly in designing intelligent robots capable of adaptive learning and efficient task performance. She is also interested in predictive analytics, big data processing, and deep learning frameworks for improving decision-making in critical domains such as healthcare diagnostics, smart systems, and resource optimization. Her research is characterized by a multidisciplinary approach that integrates computer engineering with medical technology, bridging the gap between computational methods and human health challenges. By pursuing innovations at the intersection of AI and real-life applications, Dr. Elkhouly’s work contributes to advancing technologies that directly improve quality of life.
Award and Honor
Throughout her career, Dr. Abeer Elkhouly has been recognized for her dedication to research excellence and academic leadership. She has received awards for outstanding research presentations at international conferences, highlighting the global relevance of her scientific contributions. Her publications in high-impact journals such as Scientific Reports and Applied Sciences have earned strong academic visibility, bringing acknowledgment from the broader scientific community. Beyond research, she has been honored for her editorial and reviewing contributions, including her role as an editor at Elsevier’s MethodsX and as a peer reviewer for IEEE and Scopus-indexed journals. She is also a respected member of leading professional organizations including IEEE, ACM, and WATTLE, which reflects her recognized standing in the international academic arena. Additionally, her leadership role in co-founding the Centre for Academic Integrity in the UAE demonstrates her commitment to ethical research practices. These distinctions collectively underscore her influence and achievements in academia and innovation.
Publication Top Notes
Title: AI Driven Wildfire Prediction in Australia Using Machine Learning for Effective Disaster Prevention
Authors: Zina Abohaia, Abeer Elkhouly, Mai Elbarachi
Year: 2025
Title: Weather Forecasts-Based Machine Learning Models to Predict Wildfire Characteristics
Authors: Zina Abohaia, Abeer Elkhouly, Mai Elbarachi
Year: 2025
Title: A Novel Method to Identify and Classify Deterioration of Orange Juice
Authors: Saharsh Madassery, Abeer Elkhouly, Mohd Fareq Abd Malek
Year: 2024
Title: Augmented Deep Learning for Enhanced Early Brain Tumor Detection
Authors: Abeer Elkhouly, Mahmoud Kakouri, Mohamed Safwan, Obada Al Khatib
Year: 2024
Title: Enhanced Construction Site Debris Management Using Deep Learning Classifiers for Future Remote Robotics Integration
Authors: Obai Alashram, Abeer Elkhouly
Year: 2024
Title: Machine Learning Enhancing a Compact Wearable Device for Stepping Management
Authors: Abeer Elkhouly, Nejad Alagha, Rahim Mutlu
Year: 2024
Title: Intelligent Multi-stage Feature Selection for Audiogram Classification in Designing Dementia Patient’s Hearing Aid (Ph.D. Thesis)
Authors: Abeer Mohamed Abdelghani Elkhouly
Year: 2023
Title: Study of the Impact of Tutor’s Support and Undergraduate Student’s Academic Satisfaction
Authors: A. Hysaj, Abeer Elkhouly, A.W. Qureshi, N. Abdulaziz
Year: 2019
Citations: 19
Title: Data-driven Audiogram Classifier Using Data Normalization and Multi-stage Feature Selection
Authors: Abeer Elkhouly, A.M. Andrew, H.A. Rahim, N. Abdulaziz, M.F.A. Malek, S. Siddique
Year: 2023
Citations: 15
Title: Analysis of Engineering Students’ Academic Satisfaction in a Culturally Diverse University
Authors: A. Hysaj, Abeer Elkhouly, A.W. Qureshi, N. Abdulaziz
Year: 2018
Citations: 15
Title: Why Do Students Plagiarize? The Case of Multicultural Students in an Australian University in the United Arab Emirates
Authors: A. Hysaj, Abeer Elkhouly
Year: 2020
Citations: 12
Conclusion
Dr. Abeer Elkhouly embodies the qualities of a modern researcher who combines academic excellence, innovative thinking, and a commitment to community advancement. Her educational background, rooted in computer engineering and enriched by doctoral research in Malaysia, provided the tools to explore transformative applications of artificial intelligence in healthcare and robotics. Professionally, she has balanced teaching, mentoring, and collaborative projects across multiple countries, demonstrating her ability to adapt and lead in diverse academic and research environments. Her research interests—spanning AI-driven healthcare systems, intelligent robotics, and data optimization—position her at the intersection of technology and human well-being. The recognition she has earned through awards, editorial roles, and professional memberships reflects not only her achievements but also her influence in shaping research directions globally. With her vision for innovation and dedication to ethical scholarship, Dr. Elkhouly continues to inspire future generations while contributing significantly to the advancement of science and technology.