My research interests lie in the areas of graph theory, digital geometry, image processing, and computer science, with a particular focus on the intersection of theoretical foundations and practical applications. In graph theory, I explore mathematical models to solve complex problems, such as computing shortest paths and weighted paths in grids, which has implications for network optimization and algorithm design. My work in digital geometry examines the properties of geometric structures and their computational aspects, which are key to advancements in image processing techniques. Additionally, my interest in artificial neural networks and their applications to IoT security and 5G communication highlights the practical side of my research, where I aim to enhance cybersecurity and optimize network performance through cutting-edge AI approaches; this multidisciplinary approach drives my goal of contributing to advancements in both theory and practical implementations in the ever-evolving field of computer science.

As an Assistant Professor in the Department of Computer Science at Amman Arab University, my teaching philosophy is grounded in the belief that education should be a transformative and empowering experience. I aim to create an engaging, inclusive, and student-centered learning environment where students are not only equipped with the technical skills and knowledge required in the field of computer science but also encouraged to think critically, solve complex problems, and embrace creativity and innovation.

In my courses, I strive to make the learning experience interactive and relevant by employing non-traditional teaching methods such as flipped learning, problem-based learning, and the integration of visualization and animations. These methods encourage students to take ownership of their learning, apply concepts to real-world scenarios, and engage in collaborative problem-solving.

I also prioritize fostering adaptability and communication skills, which are essential in the rapidly evolving field of computer science. My approach ensures that students leave my classroom not just as competent coders or analysts but as creative thinkers and collaborative professionals, ready to thrive in both academic and industry settings.

Ultimately, I believe that my role as an educator is to inspire and guide students toward reaching their full potential, equipping them with the knowledge, skills, and mindset necessary to become lifelong learners and innovators in the digital age

As an Assistant Professor in the Department of Computer Science at Amman Arab University, my research philosophy is driven by the pursuit of innovation and practical solutions to contemporary challenges in computer science. I believe that research should not only advance theoretical knowledge but also have tangible real-world applications that benefit society. My work focuses on interdisciplinary approaches, leveraging advancements in fields such as artificial intelligence, data science, and cybersecurity to address emerging issues in technology and industry.

Collaboration is a core component of my research philosophy, as I value the collective intelligence that comes from working with fellow academics, industry experts, and students. I aim to foster a research environment that encourages curiosity, creativity, and critical thinking, where both theoretical exploration and practical application are pursued with equal rigor.

Furthermore, I see my role as a researcher as intrinsically connected to my teaching, ensuring that my findings and insights inform my instruction, helping to prepare the next generation of computer scientists for the evolving demands of the field. Through this approach, I aim to contribute to the growth of knowledge and the development of innovative solutions that can make a meaningful impact.