Education:
Dr. Amani Benamor pursued her PhD in Computer Systems Engineering from the University of Limoges (France) in collaboration with the University of Sfax (Tunisia) between 2019 and 2023. Her field of study was Information and Communication Science and Technology. Her thesis focused on Multi-user Wireless Access Techniques for Machine-Type Communications, exploring advanced technologies such as Non-Orthogonal Multiple Access (NOMA), Internet of Things (IoT), massive Machine-Type Communications (mMTC), and future 5G/6G networks. The research was conducted within the XLIM Laboratory in Limoges, France, and the Electronics and Information Technology Laboratory in Sfax, Tunisia. Dr. Benamor utilized a variety of technical tools including game theory, machine learning, and Matlab for her research.
Professional Experience:
Dr. Amani Benamor is currently a Postdoctoral Researcher at the University of Limoges, where she focuses on Physical Layer Security for Next-Generation Wireless Networks. Her research explores advanced technologies such as Non-Orthogonal Multiple Access (NOMA), 5G, Internet of Things (IoT), and massive MIMO, utilizing tools like Matlab, Python, and network coding. Prior to this, Dr. Benamor completed a research engineer internship at the Laboratory of Information Processing Systems Teams in Cergy, France, where she conducted performance studies on 1-bit Quantized Linear Precoder for Massive MIMO Systems. She also gained hands-on experience as a Web Developer Assistant at the Advanced Technology Center in Gabes, Tunisia, developing a web application for human resource management, and as a Network Engineer Assistant at Tunisia Telecom Operator, where she analyzed urban telephone network structures. Dr. Benamor’s professional background reflects her expertise in wireless communications, system security, and network engineering, combined with a solid foundation in software development and applied research.
Research Interests:
Dr. Amani Benamor’s research interests lie at the intersection of information and communication technology, with a particular focus on wireless communication systems. Her current work explores Physical Layer Security for next-generation wireless networks, emphasizing the integration of Non-Orthogonal Multiple Access (NOMA) in 5G and 6G environments. Dr. Benamor is particularly interested in the application of game theory and machine learning to enhance resource allocation and optimize performance in massive Machine-Type Communications (mMTC) and the Internet of Things (IoT). Her innovative approach includes leveraging advanced mathematical techniques and modeling tools to address challenges in security and efficiency within wireless networks. Additionally, she is keen on exploring emerging technologies and their implications for improving connectivity and data privacy in increasingly complex communication landscapes.
Skills:
Dr. Amani Benamor possesses a diverse skill set that encompasses various domains within computer science and engineering. Proficient in operating systems such as Windows, Linux, and Android Studio, she excels in project analysis and design methodologies, including UML and Merise. Her technical expertise extends to web technologies, where she is adept in HTML5, CSS3, XML, PHP, JavaScript, and JSP. Dr. Benamor is also skilled in several programming languages, including Java, JavaEE, Python, C, and Matlab, allowing her to effectively tackle a wide range of programming and development tasks. Furthermore, she is experienced in utilizing tools for mathematics, game theory, GNS3, GitHub, Jenkins, Docker, and machine learning, enhancing her ability to conduct complex research and implement innovative solutions in her field. Her strong foundation in these areas equips her to contribute significantly to advancements in wireless communication and network security.
Dr. Amani Benamor’s exceptional research on multi-user wireless access techniques and her contributions to advanced communication technologies, alongside her impressive academic credentials and diverse technical skills, make her a strong candidate for the Best Researcher Award. Her groundbreaking work in NOMA, IoT, and security for next-generation wireless networks reflects her commitment to innovation and excellence in the field of Information and Communication Science and Technology.