Prof. Dr Ali KARTIT, ENSAJ, Morocco
Prof. Dr. Ali Kartit 🎓 est un expert en cybersécurité 🔐 et en réseaux informatiques 🌐. Docteur en informatique, spécialisé en sécurité des SI (2011), il enseigne à l’ENSA d’El Jadida 📚 et coordonne la filière Cybersécurité et Confiance Numérique 🚀. Il détient des certifications de Huawei, Fortinet, CISCO, et ICSI 🏅. Auteur de plusieurs ouvrages sur la sécurité IT 📖, il anime des séminaires pour des institutions prestigieuses 🏢. Consultant en cybersécurité, il contribue à des projets nationaux d’audit et de formation 🛡️. Ses recherches couvrent la cryptographie, la gouvernance des SI, et la sécurité des réseaux 🔍.
Publication Profile
Google Scholar
Academic Excellence
Prof. Dr. Ali Kartit holds a Doctorate in Computer Science, specializing in Information Systems Security, with high honors 🎓🔐. He completed advanced degrees in Networks & Telecommunications and Informatics from prestigious institutions in Morocco and France 🌍📡. His expertise spans cutting-edge technologies, focusing on securing information systems and enhancing network infrastructures 💻🌐. With a strong academic background and a passion for cybersecurity, Prof. Dr. Kartit has made significant contributions to research and education, shaping future IT professionals 📊📚. His dedication to excellence continues to inspire innovation in the field of computer science 🚀💡.
Professional Impact
Prof. Dr. Ali Kartit has over a decade of teaching and research experience at top institutions, including ENSA El Jadida, ENSIAS, EMI, and INSEA 🎓📚. His academic journey reflects a strong commitment to excellence, shaping future leaders in the field of cybersecurity 🔐. As the coordinator of multiple cybersecurity-related programs, he showcases outstanding leadership in academic development and program management 🌐🚀. His dedication to fostering innovation and enhancing cybersecurity education has made a significant impact within academic circles and beyond 💡🎯. Prof. Kartit continues to inspire through his expertise and visionary approach to education and research.
Industry Expertise
Prof. Dr. Ali Kartit is a distinguished cybersecurity expert who has seamlessly blended academic knowledge with real-world applications. 🛡️💻 He has served as a cybersecurity consultant on critical projects for government ministries and major corporations, contributing to national security efforts. 🌐🏢 His expertise extends to providing technical support and conducting audits for national projects, significantly enhancing cybersecurity protocols at both organizational and governmental levels. 🔍📊 Through his work, Prof. Dr. Kartit has played a vital role in strengthening digital defenses and ensuring the security of sensitive information across diverse sectors. 🚀🔐
Community Engagement
Prof. Dr. Ali Kartit has organized and led numerous seminars and training sessions for diverse audiences, including government officials, IT professionals, and students. His efforts have significantly raised awareness about cybersecurity threats, equipping participants with essential knowledge to tackle digital risks effectively. Through engaging presentations and practical workshops, he has fostered a strong understanding of cybersecurity principles, threat detection, and prevention strategies. His dedication to educating various sectors highlights his commitment to building a secure digital environment. 🌐🔐🎓💻
Research Focus
Prof. Dr. Ali Kartit’s research focuses on cloud security, machine learning, and medical data protection. His work enhances healthcare cloud security using advanced algorithms 🛡️☁️, develops encryption techniques for secure data storage 🔐, and applies deep learning models like ResNet50 and VGG-16 for medical image classification 🧠📊. He also explores intrusion detection systems 🚨, smart farming with UAVs 🚁🌱, and disease classification using AI in agriculture 🌿🤖. His interdisciplinary approach integrates machine learning with data security to improve the reliability of cloud-based healthcare systems and smart technologies. 💻🩺🔍
Publication Top Notes
Security enhancement in healthcare cloud using machine learning
Applying encryption algorithm for data security in cloud storage
Diabetic retinopathy classification using ResNet50 and VGG-16 pretrained networks
A framework to secure medical image storage in cloud computing environment
Optimization techniques in deep convolutional neuronal networks applied to olive diseases classification
Keratoconus severity classification using features selection and machine learning algorithms
A new approach to intrusion detection system
Unmanned aerial vehicle-based applications in smart farming: A systematic review
A secured load balancing architecture for cloud computing based on multiple clusters