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Dr. Shinu M. R.

Assistant Professor (Sr. Gd), Department of Computer Science and Engineeirng, School of Computing, Bangalore

Qualification: Ph.D
mr_shinu@blr.amrita.edu
Google Scholar Profile
Scopus Author ID
Research Interest: Cloud computing, Edge computing, Fog computing, Distributed systems, Internet of Things (IoT), Edge AI, Blockchain, Federated learning, Quantum Computing

Bio Publications Awards
Bio

Dr. Shinu M. Rajagopal currently serves as an Assistant Professor (Sr. Gd) in the Department of Computer Science and Engineering, School of Computing, Amrita Vishwa Vidyapeetham, Bengaluru. She earned her Ph.D. in Computer Science and Engineering from Amrita Vishwa Vidyapeetham, with a strong focus on distributed intelligent systems and resource management in next-generation computing environments. She completed her M.E. in Computer Science and Engineering from Anna University and her B.Tech in Electronics and Communication Engineering from Calicut University.
Her research expertise lies in Cloud Computing, Edge and Fog Computing, Distributed Systems, Internet of Things (IoT), Edge AI, Blockchain-enabled systems, Federated Learning, and Quantum Computing, with special emphasis on secure, scalable, and low-latency intelligence across Edge–Fog–Cloud architectures. Her work integrates AI-driven optimization, privacy-preserving learning, and decentralized computing for real-time applications, particularly in smart healthcare and cyber-physical systems. She is actively guiding students in high-impact research areas related to Edge Intelligence, Federated Learning, IoT analytics, Blockchain-based secure computing, and Quantum Computing, aiming to build efficient, trustworthy, and future-ready distributed AI systems.

Publications

Conference Paper

Year : 2025

Blockchain-Enabled Supply Chain Management with Role-Based Access Control and AES Encryption

Cite this Research Publication : Dharshan J Y, Arjun R Amarnath, Pothamsetti Sai Srujan Reddy, Shinu M Rajagopal, Mrudula Prashanth, Blockchain-Enabled Supply Chain Management with Role-Based Access Control and AES Encryption, 2025 International Conference on Computing for Sustainability and Intelligent Future (COMP-SIF), IEEE, 2025, https://doi.org/10.1109/comp-sif65618.2025.10969871

Publisher : IEEE

Year : 2025

A Comprehensive End-to-End Solution for Web Security with Cryptography, Multi-Factor Authentication, and Secure Communication

Cite this Research Publication : Kanderi Johith Kumar, Kandlapalli Aravind Sai, Adapala Dharshan Reddy, Chinthamreddy Pranay Daiwik Reddy, Shinu M Rajagopal, A Comprehensive End-to-End Solution for Web Security with Cryptography, Multi-Factor Authentication, and Secure Communication, 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), IEEE, 2025, https://doi.org/10.1109/idciot64235.2025.10915145

Publisher : IEEE

Year : 2025

Scheduling Policies in Edge Computing for Real-Time Video Analytics

Cite this Research Publication : Shreevatsan S S, Yasasree Lasya Annambhotla, Anaswara Reji, Shinu M Rajagopal, Scheduling Policies in Edge Computing for Real-Time Video Analytics, 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), IEEE, 2025, https://doi.org/10.1109/idciot64235.2025.10915127

Publisher : IEEE

Year : 2024

Harnessing the Power of web3: A Blockchain Approach to Crowdfunding

Cite this Research Publication : Richa Vivek Savant, S Navin Sunder, M Spoorthi, Shinu M Rajagopal, Roshni M Balakrishnan, Harnessing the Power of web3: A Blockchain Approach to Crowdfunding, 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), IEEE, 2024, https://doi.org/10.1109/icccnt61001.2024.10724330

Publisher : IEEE

Year : 2024

E-commerce Evolution: Unleashing the Potential of Serverless Microservices

Cite this Research Publication : Veluru Abhilash, Sunkari Hruday Venkat, Samudrala Nishal, Shinu M Rajagopal, Niharika Panda, E-commerce Evolution: Unleashing the Potential of Serverless Microservices, 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), IEEE, 2024, https://doi.org/10.1109/icccnt61001.2024.10726037

Publisher : IEEE

Year : 2024

Comparative Analysis of Machine Learning Algorithms for Anomaly Detection

Cite this Research Publication : Siddhesh T.S., Shinu M. Rajagopal, Sreebha Bhaskaran, Comparative Analysis of Machine Learning Algorithms for Anomaly Detection, 2024 IEEE 9th International Conference for Convergence in Technology (I2CT), IEEE, 2024, https://doi.org/10.1109/i2ct61223.2024.10544217

Publisher : IEEE

Year : 2021

Performance Comparison of VM Allocation and Selection Policies in an Integrated Fog-Cloud Environment

Cite this Research Publication : Shinu, M. R. and M. Supriya. 2021. Performance Comparison of VM Allocation and Selection Policies in an Integrated Fog-Cloud Environment. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST. Vol. 383. doi:10.1007/978-3-030-79276-3_13.

Publisher : LNICST

Journal Article

Year : 2025

Leveraging blockchain and federated learning in Edge-Fog-Cloud computing environments for intelligent decision-making with ECG data in IoT

Cite this Research Publication : Shinu M. Rajagopal, Supriya M., Rajkumar Buyya, Leveraging blockchain and federated learning in Edge-Fog-Cloud computing environments for intelligent decision-making with ECG data in IoT, Journal of Network and Computer Applications, Elsevier BV, 2025, https://doi.org/10.1016/j.jnca.2024.104037

Publisher : Elsevier BV

Year : 2023

Resource Provisioning using Meta-heuristic Methods for IoT Microservices with Mobility Management

Cite this Research Publication : Rajagopal, Shinu M., M. Supriya, and Rajkumar Buyya. "Resource Provisioning using Meta-heuristic Methods for IoT Microservices with Mobility Management." IEEE Access (2023).

Publisher : IEEE

Year : 2023

FedSDM: Federated learning based smart decision-making module for ECG data in IoT integrated Edge-Fog-Cloud computing environments

Cite this Research Publication : Rajagopal, Shinu M., M. Supriya, and Rajkumar Buyya. "FedSDM: Federated learning based smart decision-making module for ECG data in IoT integrated Edge-Fog-Cloud computing environments." Internet of Things (2023): 100784

Book Chapter

Year :

Secure Women’s Safety Platform Using Ethereum Blockchain

Cite this Research Publication : Rajagopal, Shinu M., M. Supriya, and Rajkumar Buyya. "Secure Women's Safety Platform Using Ethereum Blockchain." In Developing AI, IoT and Cloud Computing-based Tools and Applications for Women’s Safety, pp. 41-54. Chapman and Hall/CRC, 2024.

Awards
  1. Best Paper Award (1st Prize), ICISCN-2025 – Network-Centric Malware Detection Using Dynamic Packet Analysis and Hybrid Architectures, International Conference on Intelligent Systems and Computational Networks, 2025.
  2. Third Best Paper Award – IEEE ICCCNP 2025 for the paper titled “Real-Time Video Analytics at the Edge: Enabling Low-Latency and Scalable Solutions.”
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