Artificial Intelligence • Machine Learning • Federated Learning • Smart Agriculture • IoT • Cloud Computing
I have extensive experience in designing and delivering courses, developing digital learning resources, mentoring undergraduate and postgraduate students, coordinating academic and examination activities, and contributing to curriculum development and accreditation initiatives.
CONTACT INFORMATION:
Madhusmita Behera,
Assistant Professor,
Computer Science & Engineering
#132, AECS Layout, IT Park Road,
Bengaluru, 560037
Google Scholar
https://scholar.google.com/citations?user=2CgkVRkAAAAJ
ORCID
0009-0005-4164-3218
LinkedIn
https://www.linkedin.com/in/madhusmita-behera-9332a5225
Area of Research Interests
Development and application of intelligent computational systems for real-world problems.
Data-driven predictive modelling and intelligent decision-making.
Neural-network-based learning and computational intelligence.
Privacy-preserving distributed machine learning for collaborative intelligent systems.
Distributed learning and intelligent decision-making in decentralized environments.
Application of AI, machine learning, IoT and distributed intelligence to agricultural problems.
IoT-based intelligent systems and applications.
Cloud-based architectures and intelligent distributed computing.
02. Emotion Classification in Transcript Using LSTM IEEE International Conference on Compute, Control, Network & Photonics (ICCCNP), 2025 DOI: 10.1109/ICCCNP63914.2025.11233294
03. A Comprehensive Review of Sinkhole Attacks in IoT Networks: Vulnerabilities, Impacts, and Mitigation Strategies ICNGSDSCA-2 Publisher: Springer
