Assist. Prof. Dr. Sakthivel Ramalingam | Computer Science | Editorial Board Member

Vellore Institute of Technology Chennai | India

Assist. Prof. Dr. Sakthivel Ramalingamthe researcher’s work spans advanced control theory, nonlinear systems, and complex dynamical networks with a strong emphasis on cyber-physical security, resilient control design, and intelligent fuzzy systems. Their contributions focus on developing robust, finite-time, and event-triggered control and filtering strategies for Takagi–Sugeno fuzzy models, Markovian jump systems, networked control systems, and multi-agent networks subjected to uncertainties, delays, cyber attacks, actuator faults, and communication constraints. Their research advances include designing synchronization mechanisms for fractional-order systems, creating hybrid-triggered and observer-based state estimation methods, and proposing fault-tolerant and non-fragile control algorithms for large-scale intelligent systems. With more than thirty-eight SCIE-indexed publications in high-impact journals such as IEEE Transactions on Fuzzy Systems, Neural Networks, Communications in Nonlinear Science and Numerical Simulation, Applied Mathematics and Computation, Nonlinear Dynamics, and the Journal of the Franklin Institute, their work significantly contributes to resilient autonomous systems, intelligent vehicles, stochastic complex networks, and distributed optimization. Their research extends to sampled-data control, interval type-2 fuzzy systems, polynomial fuzzy models, semi-Markovian jump systems, and fractional-order complex networks. They also engage in experimental validation, synchronization analysis, and stability theory, aiming to enhance the reliability, safety, and robustness of modern intelligent systems in uncertain and adversarial environments.

Featured Publications

Sakthivel, R., Sakthivel, R., Kaviarasan, B., & Alzahrani, F. (2018). Leader-following exponential consensus of input saturated stochastic multi-agent systems with Markov jump parameters. Neurocomputing, 287, 84–92.

Sakthivel, R., Sakthivel, R., Kaviarasan, B., Lee, H., & Lim, Y. (2019). Finite-time leaderless consensus of uncertain multi-agent systems against time-varying actuator faults. Neurocomputing, 325, 159–171.

Sakthivel, R., Sakthivel, R., Nithya, V., Selvaraj, P., & Kwon, O. M. (2018). Fuzzy sliding mode control design of Markovian jump systems with time-varying delay. Journal of the Franklin Institute, 1–15.

Sakthivel, R., Kwon, O. M., Park, M. J., Choi, S. G., & Sakthivel, R. (2021). Robust asynchronous filtering for discrete-time T–S fuzzy complex dynamical networks against deception attacks. IEEE Transactions on Fuzzy Systems, 30(8), 3257–3269.

Saeed Banaeian Far | Computer Science | Best Scholar Award

Dr Saeed Banaeian Far, Blockchain and Metaverse research lab, Iran

Dr. Saeed Banaeian Far is a Postdoctoral Fellow at Yazd University, focusing on blockchain, cryptography, and digital twins 🔐📡. He holds a Ph.D. in Electrical Engineering from Islamic Azad University (2023), specializing in enhancing blockchain security 🧱. Dr. Banaeian Far is also an invited lecturer at the National University of Skills (NUS) 📚. His research spans applied cryptography, NFTs, and the Metaverse 🌐. A recipient of the Dr. Berenjkoub Prize and multiple best paper awards 🏆, he has published extensively on data privacy and blockchain. Passionate about teaching and cutting-edge technology, he continues to shape the future of cybersecurity 🚀.

Publication Profile

Google Scholar

Education

Dr. Saeed Banaeian Far is a postdoctoral researcher at Yazd University, Iran, since November 2024, funded by the Iran National Science Foundation (INSF). Supervised by Prof. Seyed Mojtaba Hosseini Bamakan, his project explores collaboration methods of digital twin teams on heterogeneous blockchains 🧑‍💻🔗. He earned his Ph.D. in Electrical Engineering (Cryptography) from Islamic Azad University in December 2023, focusing on enhancing blockchain security 🔒📊. His M.Sc. (2016) analyzed anonymity in authentication protocols 🛡️, while his B.Sc. (2012) was in Communication Systems ⚙️. His dedication to cryptography and blockchain technology drives his innovative research.

Research Interests

Dr. Saeed Banaeian is a leading expert in applied cryptography 🔒, specializing in security, privacy, and digital signatures ✍️. His work spans anonymity, authentication, and data auditing protocols, ensuring robust network security and payment privacy 💳. Dr. Banaeian’s expertise also covers homomorphic encryption, mixing protocols, and privacy in business 🏢. He actively explores emerging technologies such as blockchain ⛓️, the metaverse 🌐, NFTs 🎨, and digital twins 👥. His forward-looking research extends to futuristic concepts like the Internet of brains 🧠 and autonomous cities 🏙️, shaping the digital landscape of tomorrow.

Honors and Awards

Dr. Saeed Banaeian is a distinguished figure in cryptology 🛡️, recently honored with the “Dr. Berenjkoub Prize” for his exceptional thesis by the Iranian Society of Cryptology (ISC) in 2024 🏆. He was an invited speaker at ISCISC 2024, presenting on blockchain security and privacy 🔐. His research on NFTs in the metaverse earned the Best Paper Award at ITQM 2022 🌐📜. Dr. Banaeian also co-authored a groundbreaking paper on certificateless signcryption, winning the Best Paper Award at ISCISC 2022 🏅. His contributions continue to shape the future of information security and blockchain innovation.

Teaching Experiences

Dr. Saeed Banaeian is an experienced educator specializing in network security, data communication networks, and internet engineering. From January 2024 to July 2024, he taught at Technical and Vocational University (TVU) in Qom, Iran, and will continue to teach at the newly renamed National University of Skills (NUS) until January 2025. His courses include network security, information security, and internet engineering. Dr. Banaeian also served as a Teacher Assistant (TA) for network security and blockchain-related courses at Islamic Azad University from 2018 to 2019. His work reflects a strong focus on cybersecurity and emerging technologies. 💻🔐📚

Research Focus

Dr. Saeed Banaeian Far’s research focuses on emerging technologies, particularly within the realms of blockchain, Metaverse, and digital business innovations. His work addresses the integration of digital twins in the Metaverse, the security and privacy challenges involved, and decentralized finance. He explores the opportunities and future directions of virtual communications and non-fungible tokens (NFTs), emphasizing their application in both the real world and the Metaverse. Dr. Banaeian Far’s research also delves into SocialFi’s potential impact on social media and the role of blockchain in ensuring secure, quantum-safe protocols. His interdisciplinary research bridges technology, security, and digital transformation. 🌐🔒💡

Publication Top Notes

Applying Digital Twins in Metaverse: User Interface, Security and Privacy Challenges

Blockchain and its derived technologies shape the future generation of digital businesses: A focus on decentralized finance and the Metaverse

Toward Metaverse of everything: Opportunities, challenges, and future directions of the next generation of visual/virtual communications

A Review of Non-fungible Tokens Applications in the Real-world and Metaverse

Blockchain-based reporting protocols as a collective monitoring mechanism in DAOs

SocialFi transforms social media: an overview of key technologies, challenges, and opportunities of the future generation of social media

NFT-based identity management in metaverses: challenges and opportunities