Dr. Sharmila Subudhi

About

Dr. Sharmila Subudhi is working as an Assistant Professor in the Department of Computer Science at Maharaja Sriram Chandra Bhanja Deo (MSCB) University, Baripada, 757003, Odisha, India. She has published several refereed articles in various book chapters, conferences, and International repute peer-reviewed journals of Elsevier, Inderscience, Springer, etc. She has a total of 10+ years of experience in both teaching and research. She is a Senior member of IEEE and ACM. Her area of interest includes Database Security, Intrusion Detection Models, Data Mining, Applied Artificial Intelligence, and Blockchain Security.

Employment

• Maharaja Sriram Chandra Bhanja Deo University Assistant Professor
  2022 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (37)

• VGG Induced Deep Hand Sign Language Detection
  Arxiv 2026 DOI: 10.48550/arXiv.2601.08262
  +Save
• AI-Powered Anomaly Detection with Blockchain for Real-Time Security and Reliability in Autonomous Vehicles
  2025 IEEE Space Aerospace and Defence Conference Space 2025 2025 DOI: 10.1109/SPACE65882.2025.11170917
  +Save
• AI-Powered Anomaly Detection with Blockchain for Real-Time Security and Reliability in Autonomous Vehicles
  Arxiv 2025 DOI: 10.48550/arXiv.2505.06632
  +Save
• Effect of Data Imbalance in Telecom Fraud
  2025 DOI: 10.1007/978-981-97-8093-8_16
  +Save
• Hierarchical Adaptive Consensus Network: A Dynamic Framework for Scalable Consensus in Collaborative Multi-Agent AI Systems
  Arxiv 2025 DOI: 10.48550/arXiv.2511.17586
  +Save
• Hierarchical Federated Graph Attention Networks for Scalable and Resilient UAV Collision Avoidance
  International Symposium on Advanced Networks and Telecommunication Systems Ants 2025 DOI: 10.1109/ANTS66931.2025.11430069
  +Save
• Hierarchical Federated Graph Attention Networks for Scalable and Resilient UAV Collision Avoidance
  Arxiv 2025 DOI: 10.48550/arXiv.2511.11616
  +Save
• Multi-Robot Task Allocation for Homogeneous Tasks with Collision Avoidance via Spatial Clustering
  Arxiv 2025 DOI: 10.48550/arXiv.2505.10073
  +Save
• Privacy-Preserving Federated Learning for Fair and Efficient Urban Traffic Optimization
  Arxiv 2025 DOI: 10.48550/arXiv.2511.06363
  +Save
• Scalable Hierarchical AI–Blockchain Framework for Real-Time Anomaly Detection in Large-Scale Autonomous Vehicle Networks
  Arxiv 2025 DOI: 10.48550/arXiv.2511.12648
  +Save