Research Accomplishments and Publications

My research interests encompass a range of cutting-edge fields in Artificial Intelligence and data mining like Natural Language Processing (NLP) and Swarm Intelligence, and I am constantly exploring new applications and approaches within these domains. Additionally, I have significant expertise in Deep Learning and Machine Learning, with a focus on Convolutional Neural Networks (CNN), Computer Vision, Image Analysis, and Medical Diagnosis. My overarching goal is to develop innovative solutions to complex real-world problems, and to push the boundaries of what is possible in these exciting and rapidly-evolving fields. My research goal is to contribute to the advancement of Artificial Intelligence and data mining by developing innovative solutions to real-world problems. In pursuit of this goal, I have set the following research goals:

●        Improve Medical Diagnosis: With my expertise in CNN and computer vision, I intend to explore new methods for improving medical diagnosis accuracy. This could involve developing new models for medical image analysis, or integrating patient data from multiple sources to improve diagnostic accuracy.

●        Develop Explainable AI and improve the training and optimization process of deep artificial neural networks (DNNs): I am interested in developing Explainable AI models that can provide clear and interpretable explanations for their decisions as well as improve the training efficiency, convergence speed, and generalization capabilities of deep neural networks, leading to better performance on various tasks and reducing the computational resources required for training.

●        Develop novel NLP techniques: I aim to develop new NLP techniques that can accurately process and interpret natural language data to extract meaningful insights. This can involve exploring new approaches to language modeling, sentiment analysis, entity recognition, and more.

●        Enhance Swarm Intelligence: I plan to investigate new ways to enhance the capabilities of Swarm Intelligence algorithms by combining them with other AI techniques such as deep learning. This could involve developing hybrid algorithms that leverage the strengths of different approaches.

Throughout my research career, I have made significant contributions to the fields of Artificial Intelligence and data mining, I supervised many master and PhD students in artificial intelligence thesis or projects. These accomplishments include a number of publications in journals such as Electronics, Frontiers in Robotics and AI, Applied System Innovation, International Journal of Emerging Technologies in Learning, and International Journal of Intelligent Information Technologies. In addition to my work in journals, I have also presented at numerous international conferences, including the 2nd International Conference on New Trends in Computing Sciences (ICTCS) and the 2017 International Conference on New Trends in Computing Sciences (ICTCS). I have also been actively involved in the organization of the 9th International Conference on Software and Information Engineering (ICSIE). Overall, my research accomplishments demonstrate my commitment to advancing the state of the art in AI and data mining, and my ability to make significant contributions to the field through high-quality research and collaboration.

My research portfolio includes national and international research projects that demonstrate my expertise and commitment to advancing the field of Artificial Intelligence. One of my notable achievements is serving as the main researcher from PSUT in the DAAD-funded Bringing Data Literacy to Jordan (BDL2JO) project, which aims to establish cooperation and transfer of knowledge between participating higher education institutions and non-university partners in teaching, research, and higher education management. Another major research initiative in which I participated as a main researcher is the Royal Scientific Society Big Data Analytics and Artificial Intelligence (BDDAI) team, where we are creating a Computer-Aided Diagnosis tool for ophthalmologists to use for Diabetic Retinopathy routine check-ups in cooperation with medical experts, further more I am the main researcher for seed fund project from Princess Sumaya university project title:” Autism spectrum disorders diagnosis and rehabilitation using new pruning algorithm for deep Convolutional Neural Networks (CNN) with Swarm intelligence (SI)”. In addition to my involvement in these research projects, I supervised the Master's thesis in the field of Artificial Intelligence, which reflects my dedication to training and mentoring upcoming researchers in the domain.

for my list of publication : https://scholar.google.com/citations?user=xNsD2wYAAAAJ&hl=en

                                       :https://www.researchgate.net/profile/Ghnemat_Rawan