Ms. Tuba Arif | Data Privacy | Best Researcher Award

Graduate Researcher, Seoul National University of Science and Technology, South Korea

Tuba Arif is an emerging researcher in the field of Computer Science and Engineering, currently pursuing her Master of Science at Seoul National University of Science and Technology, Republic of Korea 🇰🇷. With a strong academic foundation in statistics and computer science, she is actively involved in cutting-edge research combining artificial intelligence, cybersecurity, blockchain, federated learning, and quantum computing. Tuba’s work focuses on real-world solutions for secure and privacy-preserving systems, particularly in the domains of medical and industrial IoT. Her dynamic research collaborations, international exposure, and multiple first-author publications underscore her dedication to impactful scientific contribution 🌍📚.

Publication Profile

Google Scholar

📘Education Background

Tuba holds a Master of Science (MS) in Computer Science and Engineering from Seoul National University of Science and Technology with an impressive CGPA of 3.94/4.50 🎓. She also completed a Master of Science (MSc) in Statistics and a Bachelor of Science (BSc) in Statistics from the University of Karachi, Pakistan 🇵🇰. Her undergraduate studies included mathematics and economics, laying a strong quantitative and analytical base for her interdisciplinary research in AI and cybersecurity.

💼Professional Experience

As a Researcher at UCS Lab, Seoultech, Tuba is developing advanced AI-based models for medical imaging and privacy-preserving cybersecurity frameworks involving federated learning and quantum computing 🔐🤖. Her role includes leading publications, participating in funded research projects (NRF and KISA), and international collaborations. Additionally, she serves as a Department Assistant, supporting academic and administrative activities. Her earlier experience includes roles in banking, education, and administration back in Pakistan, where she developed valuable skills in coordination, teaching, and customer service 🏫💻.

🏅Awards and Honors

Tuba has received several accolades for her academic and research excellence. She earned the Best Paper Award at the 2024 World Congress on Information Technology Applications and Services 🥇. She is a recipient of the International Graduate Student Scholarship and the Department Assistant Scholarship from Seoul National University of Science and Technology for her outstanding academic performance and support contributions 🎓📖.

🔬Research Focus

Tuba’s research interests lie at the intersection of AI, cybersecurity, blockchain, digital forensics, and quantum computing. Her work primarily explores secure, federated AI architectures for medical and industrial IoT, with an emphasis on zero-trust models, privacy-enhancing technologies, and secure cloud-native systems. She is also exploring quantum-based solutions for cybersecurity and smart city infrastructures, aligning with global challenges in digital privacy and advanced threat detection 🧠🔗🔎.

🔚Conclusion

Tuba Arif is a passionate and future-oriented researcher making meaningful contributions to AI-driven cybersecurity and privacy solutions. With her international academic background, diverse technical skill set, and a portfolio of impactful publications and awards, she stands as a promising scholar dedicated to driving innovation in secure and intelligent systems 🌐🚀.

📝Publication Top Notes 

Blockchain-Enabled IDPS and Federated Learning for Enhancing CPS Security against Advanced Persistent Threats in Zero Trust Architectures. Human-Centric Computing and Information Sciences (HCIS).
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A Comprehensive Survey of Privacy-Enhancing and Trust-Centric Cloud-Native Security Techniques Against Cyber Threats. Submitted to Sensors (Under Review).
Cited by: To be updated after publication.

A Comprehensive Study on Quantum Computing Technologies in Smart City: Review and Future Directions. Human-Centric Computing and Information Sciences (HCIS).
Cited by: Search Google Scholar

Unveiling Cybersecurity Mysteries: A Comprehensive Survey on Digital Forensics Trends, Threats, and Solutions in Network Security. Submitted to Journal of Network and Computer Applications (JNCA) (Under Review).
Cited by: To be updated after publication.

Blockchain-based Digital Forensics Framework for Preventing Cyber Attacks in Metaverse. Presented at World Congress on Information Technology Applications and Services, Jeju, South Korea.
Cited by: Search Google Scholar