Doctorant | Université Paris 8 | France
Oussama Mounnan’s profile shows strong potential for the Research for Best Paper Award in the field of “Strengths for the Award, Areas for Improvement, and Conclusion.” Here’s an evaluation based on the provided information:
Strengths for the Award
- Expertise in Security and Research: Oussama’s extensive experience in network and system security, combined with his research in speech recognition through deep learning for biometric access control, showcases a strong foundation in both practical and theoretical aspects of security. His hands-on experience with various security tools and technologies supports his research efforts, providing a solid practical background to his work.
- Diverse Technical Skills: His proficiency in a wide range of programming languages, databases, and modeling techniques (e.g., UML, Merise) demonstrates a broad technical skill set. This versatility is crucial for addressing complex research problems and developing innovative solutions.
- Relevant Certifications: The numerous certifications in areas such as IT security, network management, and deep learning, including specialized courses from reputable platforms like Coursera and Fortinet, underscore his commitment to staying updated with industry standards and advancements.
- Academic and Professional Experience: His academic achievements, including ongoing doctoral research and a master’s degree focused on security and services, complement his professional roles, providing a well-rounded perspective on both theoretical and practical aspects of cybersecurity.
- Teaching and Mentoring: His role as a teacher of TIC (Technologies de l’Information et de la Communication) and mathematics indicates strong communication skills and the ability to convey complex concepts, which is beneficial for drafting impactful research papers.
Areas for Improvement
- Research Publication Record: The profile does not mention any previous research publications or conference papers. For a Best Paper Award, having a track record of published research in peer-reviewed journals or conferences is advantageous. If Oussama has unpublished work, it should be highlighted.
- Clarity of Research Focus: While the research topic of speech recognition for biometric access control is mentioned, further detail on the specific contributions, methodologies, and findings would enhance the clarity and impact of the research. A well-defined research problem, hypothesis, and demonstrated results are essential for award consideration.
- Project Outcomes and Impact: The profile should provide more insights into the practical outcomes and impact of his research. For instance, how his work on speech recognition has contributed to advancements in biometric security or improved existing systems would strengthen his case.
- Publication of Research Findings: Ensuring that research findings are published in reputable journals or presented at major conferences can significantly boost the chances of winning an award. If this is already the case, providing links or citations would be beneficial.
- Interdisciplinary Integration: Given the evolving nature of cybersecurity and AI, demonstrating how his research integrates with broader trends or interdisciplinary approaches could provide a competitive edge.
Short Biography
Oussama Mounnan is an accomplished Security Engineer and doctoral researcher specializing in data and network protection. Based in Marrakech, Morocco, he brings a wealth of expertise in safeguarding IT infrastructures against cyber threats. With a rich background in both practical security management and advanced research in speech recognition for biometric access control, Oussama has developed a comprehensive understanding of cybersecurity challenges and solutions. His career reflects a commitment to continuous learning and professional development, underscoring his dedication to enhancing security protocols and technologies.
Profile
Google Scholar
Education
Oussama Mounnan is currently pursuing a Doctorate in Computer Science at the University Ibn Zohr-Agadir, in collaboration with Paris 8 University, focusing on speech recognition through deep learning for biometric access control. He holds a Master’s degree in Services and Security of Systems and Networks from the University of Lorraine, France, and a Professional License in Networks and Telecommunications from the University Littoral Côte d’Opale, France. His educational foundation is further supported by a Technician Specialized diploma in Information Systems from ISTA-Taroudant and a Bachelor’s degree in Experimental Sciences.
Experience
With over a decade of experience, Oussama Mounnan currently serves as a Security Engineer at Weberfly-group in Marrakech, where he oversees firewall management, network security, and vulnerability assessments. His previous roles include technical and development positions at OussamaWeb and a teaching role at MEN, Marrakech, where he imparts knowledge on ICT integration and mathematics. His tenure as a Research Engineer Intern at the Oscar Laboratory of Cadi Ayyad University further solidified his expertise in biometric access control within the Big Data context.
Research Interests
Oussama’s research interests revolve around the intersection of cybersecurity and artificial intelligence, specifically in the application of deep learning for biometric systems. His current research focuses on improving biometric access control through advanced speech recognition techniques. This work aims to enhance security measures and streamline authentication processes in various applications.
Awards
Currently, there are no specific awards listed in Oussama Mounnan’s profile. However, his significant contributions to the field of cybersecurity and deep learning, coupled with his ongoing research, position him as a strong candidate for future recognition in his domain.
Publications
Privacy-aware and Authentication Based on Blockchain with Fault Tolerance for IoT Enabled Fog Computing
O Mounnan, A El Mouatasim, O Manad, T Hidar, A Abou El Kalam, …
2020, Fifth International Conference on Fog and Mobile Edge Computing (FMEC)
Link to Paper
Cited by: 21
Decentralized Access Control Infrastructure Using Blockchain for Big Data
O Mounnan, A Abou El Kalam, L El Haourani
2019, IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA)
Link to Paper
Cited by: 10
Using Blockchain-Based Authentication Solution for Remote Surgery in Tactile Internet
T Hidar, A Abou El Kalam, S Benhadou, O Mounnan
2021, International Journal of Advanced Computer Science and Applications, 12 (2)
Link to Paper
Cited by: 5
Anomaly Detection for Big Data Security: A Benchmark
H Es-Samaali, A Outchakoucht, S Benhadou, O Mounnan, …
2021, The 3rd International Conference on Big Data Engineering and Technology (BDET)
Link to Paper
Cited by: 3
Efficient Distributed Access Control Using Blockchain for Big Data in Clouds
M Oussama
2019, Think Mind, Pages 53-62
Link to Paper
Cited by: 3
A Novel Approach Based on Blockchain to Enhance Security with Dynamic Policy Updating
O Mounnan, A El Mouatasim, O Manad, A Outchakoucht, H Es-Samaali, …
2020, 7th International Conference on Internet of Things: Systems, Management and Security (IoT-SMS)
Link to Paper
Cited by: 1
A Review on Deep Anomaly Detection in Blockchain
O Mounnan, O Manad, L Boubchir, A El Mouatasim, B Daachi
2024, Blockchain: Research and Applications, 100227
Link to Paper
Cited by: Not yet cited
Deep Speech Recognition System Based on AutoEncoder-GAN for Biometric Access Control
O Mounnan, O Manad, A El Mouatasim, L Boubchir, B Daachi
2023, International Journal of Advanced Computer Science & Applications, 14 (11)
Link to Paper
Cited by: Not yet cited
Deep Learning-Based Speech Recognition System Using Blockchain for Biometric Access Control
O Mounnan, O Manad, L Boubchir, A El Mouatasim, B Daachi
2022, Ninth International Conference on Software Defined Systems (SDS)
Link to Paper
Cited by: Not yet cited
Towards a Privacy-Preserving Machine Learning-Based Access Control for the Internet of Things
A Outchakoucht, H Es-Samaali, O Mounnan, A Abou El Kalam, …
Manchester Journal of Artificial Intelligence and Applied Sciences, 3 (1)
Link to Paper
Cited by: Not yet cited
Conclusion
Oussama Mounnan’s profile presents a strong candidate for the Research for Best Paper Award, particularly due to his robust technical skills, relevant research focus, and extensive experience in cybersecurity. To enhance his candidacy, he should aim to address the areas for improvement, such as strengthening his publication record and providing clearer insights into the impact of his research. Highlighting these aspects can elevate his research work and align it more closely with the criteria for prestigious awards in his field.