Mr. Oussama Mounnan has been serving as an Ingénieur de Sécurité at Weberfly-group in Marrakech, Morocco since 2015. His role involves managing and configuring network security systems, overseeing VPN access, and implementing security policies. He also engages in ethical hacking, virtualization, and system optimization to ensure robust security measures. From 2007 to 2015, Mr. Mounnan worked as an Associé et Technicien Spécialisé at OussamaWeb in Marrakech, Morocco. His responsibilities included providing technical support, developing custom applications, managing network installations, and designing websites. In addition, Mr. Mounnan has been an Enseignant at MEN, Marrakech, Morocco since 1999, where he trains teachers in the use of ICT in education and teaches mathematics. Between 2017 and 2019, he was an Ingénieur de Recherche, Stagiaire at the Oscar Laboratory of Cadi Ayyad University in Marrakech. His research focused on access control systems within the context of Big Data.
Research Interest
Mr. Oussama Mounnan’s research interests encompass several cutting-edge areas in technology. His primary focus is on cybersecurity and ethical hacking, where he explores advanced techniques to protect systems and data from unauthorized access. He is also deeply engaged in developing biometric authentication systems, particularly those utilizing voice recognition technologies. His work in deep learning and artificial intelligence for speech recognition aims to enhance the accuracy and efficiency of biometric systems. Additionally, Mr. Mounnan studies network security and infrastructure management to optimize and secure network environments. His research extends to big data and access control systems, where he investigates innovative approaches to manage and secure vast amounts of information.
Award and Honors
Oussama Mounnan has garnered recognition for his expertise and contributions in cybersecurity and information technology. Throughout his career, he has been instrumental in implementing advanced security measures, earning accolades for his work in securing IT infrastructures and mitigating cyber threats. His efforts have been acknowledged with several certifications, including the prestigious ITIL V4 Foundation and Prince2 Foundation, which highlight his proficiency in IT service management and project management. Additionally, his achievements in network security have been recognized by industry leaders, as evidenced by his certifications from Fortinet, including NSE-1 and NSE-2 Network Security Associate. Oussama’s dedication to continuous learning and innovation is further demonstrated by his completion of numerous specialized courses on Coursera, covering topics such as deep learning, machine learning, and blockchain. These accolades reflect his commitment to excellence in the field and his ongoing contributions to advancing cybersecurity practices.
Research Skills
Oussama Mounnan possesses a diverse set of research skills, particularly in the fields of cybersecurity and deep learning. His expertise includes designing, testing, and evaluating systems for biometric access control, with a focus on speech recognition technologies. Oussama is adept at conducting vulnerability assessments, performing ethical hacking, and implementing advanced security protocols to protect data and networks. He is proficient in a range of programming languages and tools, including Python, Java, SQL, and machine learning frameworks, which he utilizes in his research. His ongoing Ph.D. work reflects his ability to apply deep learning techniques to solve complex security challenges, demonstrating his analytical thinking and problem-solving skills. Additionally, Oussama’s experience in both academia and industry allows him to bridge the gap between theoretical research and practical applications, making his research highly relevant and impactful in today’s increasingly digital world.
Conclusion
Oussama Mounnan demonstrates significant strengths in technical expertise, cybersecurity, and applied research, particularly in the context of speech recognition and deep learning. However, to be a strong contender for a Best Researcher Award, he may need to focus more on building a robust publication record, engage in more collaborative research projects, and possibly expand his research scope. While his contributions to practical applications are commendable, additional evidence of impactful research contributions would further solidify his suitability for such an award.