Mrs. Ionela Chereja | Privacy of data | Best Researcher Award

Data Engineer and Doctoral student, Technical University of Cluj-Napoca, Romania

Ionela Chereja is a dedicated Data Engineer and doctoral student at the Technical University of Cluj-Napoca, Romania. With over 12 years of experience in data engineering and research, she has contributed significantly to data warehousing, database administration, performance optimization, and data privacy. Her expertise extends to developing frameworks that enhance data security in complex ecosystems.

Publication Profile

Scopus

🎓 Academic Background:

Ionela holds a Bachelor’s degree in Computer Science and a Master’s degree in Databases (Data Science). She is currently pursuing her Ph.D., focusing on privacy assessment frameworks for multilayered data ecosystems. Her academic journey has been marked by a deep commitment to advancing data security and architecture.

💼 Professional Experience:

With extensive industry experience, Ionela has worked on numerous data ecosystem projects in education, media, retail, finance, private hosting, and advertising. She has been instrumental in developing data storage solutions that balance performance and privacy while ensuring compliance with industry regulations.

🏆 Awards and Honors:

Ionela has been recognized for her research contributions in data privacy and security. Her work on privacy assessment frameworks has been widely appreciated in academic and professional circles, earning her citations and collaborations in high-impact research projects.

🔬 Research Focus:

Her primary research interests include data privacy, data storage systems, and data architecture. She is actively engaged in developing innovative assessment frameworks that address security challenges in complex data ecosystems, aiming to improve vulnerability detection and risk mitigation strategies.

🔎 Conclusion:

Ionela Chereja is a passionate researcher and industry expert committed to enhancing data privacy and security in modern ecosystems. Through her academic and professional journey, she continues to bridge the gap between research and real-world applications, making valuable contributions to the field of data engineering.

🔗 Publications Top Notes:

A Privacy Assessment Framework for Data Tiers in Multilayered Ecosystem Architectures – Published in Mathematics, 2023.
Privacy Assessment Methodology for Machine Learning Models and Data Sources – Conference Paper, cited by 1 article.

Mr. GEUMTAE KIM | Cryptography Award | Best Researcher Award

Ph.D. candidate, Seoul National University, South Korea

🌟 Geumtae Kim is a dedicated Ph.D. candidate at Seoul National University, specializing in the Department of Electrical and Computer Engineering. Guided by Prof. Jong-Seon No, he focuses on advancing the fields of cryptography and secure computing. With a strong academic foundation, Geumtae’s research centers on innovative cryptographic techniques, including post-quantum cryptography and homomorphic encryption. His contributions are marked by publications in prominent journals and conferences, showcasing his commitment to cutting-edge research in cybersecurity. 📚🔒

Education

🎓 Geumtae Kim began his academic journey at Pohang University of Science and Technology (POSTECH), earning a Bachelor of Science in Electrical Engineering in 2019. Pursuing further excellence, he joined Seoul National University in 2019, where he is currently advancing his expertise as a Ph.D. candidate in Electrical and Computer Engineering. 🌐⚡

Experience

🛠️ Since 2019, Geumtae has been immersed in research at Seoul National University under the mentorship of Prof. Jong-Seon No. His work emphasizes cryptographic algorithms and systems that enhance digital security. With years of rigorous study and hands-on experience, he continues to contribute significantly to the fields of cryptography and encryption. 💻🔐

Research Interests

🔍 Geumtae’s research is driven by a passion for creating robust security solutions in the digital age. His primary interests include cryptography, post-quantum cryptography, and homomorphic encryption. These focus areas aim to address the emerging challenges of quantum computing and ensure the confidentiality and integrity of sensitive data. 🔑✨