C3S Laboratory EST, CED ENSEM Hassan2, Casablanca, Morocco
Hajar Dahhak, a Doctoral Candidate in Computer Science, is a skilled technico-functional consultant and department head of IT development. With a background in engineering and over five years of experience, she specializes in data security, cryptography, and machine learning. Fluent in French, English, and Arabic, Hajar has contributed to multiple tech projects, collaborating with teams in Morocco and France. Her expertise spans various programming languages and technologies, including Python, Java, and Django, with significant knowledge in blockchain, ERP development, and AI-based systems. 🌍💻
Profile
Orcid
Education
Hajar holds an engineering degree and is currently pursuing a Ph.D. in Computer Science under the guidance of Professors Afifi Nadia and Hilal Imanae. Her doctoral research explores the security of cryptographic algorithms in the quantum computing era. She also completed significant academic training in areas like machine learning, data analysis, and information systems. 🎓📚
Experience
Hajar’s professional journey includes roles such as Head of IT Development, Functional Consultant, and Project Manager. She has contributed to high-impact projects like ERP development and cryptographic security in IoT and blockchain. Hajar’s notable experiences include consulting for Cegedim Outsourcing and SOMADIAG, along with her role at the National Human Rights Council of Morocco, focusing on document management system automation. 🛠️💼
Research Focus
Hajar’s research revolves around cybersecurity, particularly the impact of quantum computing on blockchain and IoT security. Her work aims to understand and mitigate the vulnerabilities in cryptographic algorithms when faced with quantum-based attacks. She is exploring adaptive post-quantum blockchain strategies to optimize security and performance. 🔐💡
Publication Top Notes
- Impact of Quantum Attacks on IoT and Blockchain (2023)
- Security Analysis of Classical and Post-Quantum Blockchains (2024)
- Blockchain and Attacks: Optimizing Post-Quantum Blockchain Performance (2024)