Dr. Zhaoyang Wang | Cybersecurity | Best Researcher Award

Dr. Zhaoyang Wang | Cybersecurity | Best Researcher Award

Institute of Information Engineering, Chinese Academy of Sciences, China.

Wang Zhaoyang is a Ph.D. student at the Key Laboratory of Cyberspace Security Defense, Institute of Information Engineering, Chinese Academy of Sciences, and the School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China. His research focuses on differential privacy, data security, privacy protection in big data systems, and machine learning, contributing to cutting-edge advancements in cybersecurity and data privacy.

Profile

Scopus

๐ŸŽ“ Education

Wang Zhaoyang is currently pursuing a Ph.D. in Cyber Security at the University of Chinese Academy of Sciences, Beijing, China. His research focuses on differential privacy, data security, and privacy protection in big data systems, with an emphasis on developing secure and efficient solutions for modern cybersecurity challenges.

๐Ÿ’ผ Experience

Wang Zhaoyang is a researcher at the Key Laboratory of Cyberspace Security Defense, Institute of Information Engineering, where he explores advanced topics in cybersecurity, differential privacy, and data security. As a Graduate Research Assistant specializing in cyber security and data privacy, he actively contributes to cutting-edge research on privacy protection in big data systems, secure machine learning, and distributed storage solutions. His work aims to enhance the security and efficiency of modern computing environments, addressing critical challenges in data protection and cyber defense.

๐Ÿ”ฌ Research Interests

๐Ÿ›ก๏ธ Differential Privacy โ€“ Ensuring data protection while preserving utility.

๐Ÿ” Data Security โ€“ Developing secure storage and transmission solutions.

๐Ÿ” Privacy Protection in Big Data โ€“ Enhancing privacy measures in large-scale data systems.

๐Ÿค– Machine Learning & Privacy โ€“ Securing AI models against adversarial attacks.

๐Ÿ“š Selected Publications

TurboLog: A Turbocharged Lossless Compression Method for System Logs via Transformer โ€“ IJCNN 2024

A Distributed Storage System for System Logs Based on Hybrid Compression Scheme โ€“ ISPA/BDCloud/SocialCom/SustainCom 2023| Cited by 1

PRISPARK: Differential Privacy Enforcement for Big Data Computing in Apache Spark โ€“ IEEE SRDS 2023

A General Backdoor Attack to Graph Neural Networks Based on Explanation Method โ€“ TrustCom 2022 | Cited by 2

Deepro: Provenance-based APT Campaigns Detection via GNN โ€“ TrustCom 2022.

 

 

Mr. Prabakaran Raghavendran | Cryptography | Young Scientist Award

Mr. Prabakaran Raghavendran | Cryptography | Young Scientist Award

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India.

Prabakaran Raghavendran is a promising research scholar currently pursuing his Ph.D. at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology. His research spans the domains of fractional differential equations, integral transforms, and control theory, with a focus on developing analytical solutions for complex mathematical models. Prabakaran has presented his work at prestigious conferences, contributed to numerous research articles, and gained recognition for his academic excellence. His diverse interests also encompass fuzzy analysis, cryptography, and artificial neural networks.

Profile

Scopus

Orcid

๐ŸŽ“ Education

Prabakaran Raghavendran is currently pursuing his Ph.D. at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, where he focuses on mathematical research related to fractional differential equations and control theory (2023 - 202X). He completed his M.Sc. in Mathematics in 2022 from the same institution, graduating with an impressive CGPA of 9.79. Prior to that, he earned his B.Sc. in Mathematics from Loyola College, Chennai, in 2020, with a CGPA of 9.25. His foundational education includes completing Class XII at Velammal Matric Hr. Sec. School in 2017 with 87.5%, and Class X in 2015, where he scored 94%.

๐Ÿ’ผ Experience

Prabakaran has gathered a range of professional experiences that complement his academic journey. He has worked as a software engineer intern at CGI InfoSys & Mgmt Consultants Pvt Ltd, where he developed software solutions and contributed to troubleshooting and debugging. Additionally, he completed training in Python programming and LaTeX at Loyola College, and an internship in Finance and Accounts Management at Falcon Enterprises, where he assisted in financial modeling and process improvements.

๐Ÿ”ฌ Research Interests

Fractional Differential Equations ๐Ÿ“Š
Prabakaran Raghavendranโ€™s research delves into fractional differential equations, focusing on their applications in both linear and non-linear models. He also explores stochastic models, contributing to a deeper understanding of complex systems involving memory effects and non-local interactions.

Control Theory ๐ŸŽฎ
In control theory, Prabakaran investigates various types of differential equations, including impulsive, fuzzy, and functional differential equations. His work aims to enhance the control and stability of dynamic systems under uncertainty and time delays.

Mathematical Techniques ๐Ÿงฎ
Prabakaran employs advanced mathematical techniques, such as integral transforms and fuzzy algebra, to solve complex problems. His expertise also extends to cryptography, where he explores mathematical methods for secure communication and encryption.

Emerging Technologies ๐Ÿค–
With a keen interest in emerging technologies, Prabakaran applies artificial neural networks to solve intricate mathematical equations. This fusion of machine learning and mathematics promises to offer innovative solutions to otherwise intractable problems in his field.

๐Ÿ† Honours & Awards

Best Paper Presentation Award: โ€œAnalysis of Fractional Integro-Differential Equations Utilizing Mahgoub Transform,โ€ at the 7th International Conference on Mathematical Modelling, Applied Analysis, and Computation (ICMMAAC-24), Beirut, Lebanon (2024).

Life Member: International Association of Engineers (IAENG) (2024).

Life Member: International Organization for Academic and Scientific Development (IOASD) (2024).

Life Member: International Society of Fuzzy Set Extensions and Applications (ISFSEA) (2025).

๐Ÿ“š Publications Top Notes

Driving Transformative Technology Trends with Cloud Computing (2024).Contributors: Prabakaran Raghavendran, Tharmalingam Gunasekar. Link

Application of Artificial Neural Networks for Existence and Controllability in Impulsive Fractional Volterra-Fredholm Integro-Differential Equations (2024). Journal: Applied Mathematics in Science and Engineering (AMSE). Link

Existence and Controllability Results for Neutral Fractional Volterra-Fredholm Integro-Differential Equations (2024). Journal: Journal of Mathematics and Computer Science. Contributors: Tharmalingam Gunasekar, Prabakaran Raghavendran, Shyam Sundar Santra, Mohammad Sajid. Link

Solving the Chemical Reaction Models with the Upadhyaya Transform (2024). Journal: Oriental Journal of Chemistry. Contributors: Dinesh Thakur, Prabakaran Raghavendran, Tharmalingam Gunasekar, Prakash Chand Thakur, Bal Krishan, Sunil Kumar. Link

A Study on the Existence, Uniqueness, and Stability of Fractional Neutral Volterra-Fredholm Integro-Differential Equations with State-Dependent Delay (2024). Journal: Fractal and Fractional. Contributors: Prabakaran Raghavendran, Tharmalingam Gunasekar, Junaid Ahmad, Walid Emam. Link