Mr. Oussama Mounnan, Paris 8 University, France
Based on the detailed information provided about Mr. Oussama Mounnan, he appears to be a strong candidate for the “Best Researcher Award” due to his extensive experience and achievements in the field of cybersecurity, deep learning, and biometric access control. Below is a summary of his qualifications and contributions:
Publication profile
Professional Experience
Mr. Mounnan has been working as a Security Engineer since October 2015 at Weberfly-group in Marrakech, Morocco. He is responsible for managing, administering, and configuring network security systems, including firewalls, routers, switches, and VPN access. His role also includes performing network traffic analysis, implementing security policies, conducting security audits, and managing incidents. Additionally, he has experience in ethical hacking and penetration testing using various tools. Previously, he co-founded OussamaWeb, where he focused on IT maintenance, web development, and application creation from 2007 to 2015.
Research and Academic Background
Mr. Mounnan is currently pursuing a PhD in Computer Science at Ibn Zohr University-Agadir, Morocco, in collaboration with Paris 8 University, France. His research focuses on speech recognition using deep learning for biometric access control, a field that intersects artificial intelligence and cybersecurity. He has previously conducted research at the Oscar laboratory of Cadi Ayyad University, where he designed and tested systems for access control within the context of Big Data.
Technical Skills and Certifications
He has a comprehensive skill set covering programming languages (HTML, C, Python, Java), network security, system administration, virtualization, and data management tools. His certifications include ITIL V4, Prince2 Foundation, and various cybersecurity and machine learning credentials from Google, Coursera, and Fortinet. These certifications underline his commitment to staying updated in the rapidly evolving fields of IT security and data science.
Education
Mr. Mounnan holds a Master’s degree in Services, System Security, and Networks from the University of Lorraine, France, and a Bachelor’s degree in Networks and Telecommunications from Université Littoral Côte d’Opale, France. He has also completed specialized training in software engineering and information systems.
Additional Skills and Interests
He is proficient in English, French, and German at an advanced level. His interests include swimming, martial arts, reading, music, and scientific research, reflecting a well-rounded personality committed to both personal and professional development.
Publication Top Notes
- Privacy-aware and authentication based on blockchain with fault tolerance for IoT enabled fog computing 🌐🔐 | Cited by: 21 | Year: 2020
- Decentralized access control infrastructure using blockchain for big data 📊🔗 | Cited by: 10 | Year: 2019
- Using blockchain based authentication solution for the remote surgery in tactile internet 🏥🖥️ | Cited by: 5 | Year: 2021
- Anomaly detection for big data security: a benchmark 🔍🔒 | Cited by: 3 | Year: 2021
- Efficient Distributed Access Control using Blockchain for Big Data in Clouds ☁️📈 | Cited by: 3* | Year: 2019
- A novel approach based on blockchain to enhance security with dynamic policy updating 🔄🔐 | Cited by: 1 | Year: 2020
- A Review on Deep Anomaly Detection in Blockchain 📚🛡️ Year: 2024
- Deep Speech Recognition System Based on AutoEncoder-GAN for Biometric Access Control 🎤🧠 Year: 2023
- Deep Learning-Based Speech Recognition System using Blockchain for Biometric Access Control 🧠🔗 Year: 2022
- Towards a Privacy preserving Machine Learning based Access Control for the Internet of Things 🌐🤖 Year: 2022
Conclusion
Mr. Oussama Mounnan’s blend of practical experience, academic research, and extensive certifications make him a suitable candidate for the “Best Researcher Award.” His work in cybersecurity and deep learning, particularly in speech recognition for biometric access, highlights his significant contributions to these fields.