Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Dive into the research topics where Bimal Ghimire is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Communication-Efficient Machine Learning Framework for the Internet of Vehicles
Ghimire, B. & Rawat, D. B., 2025, In: IEEE Transactions on Cognitive Communications and Networking. 11, 4, p. 2676-2685 10 p.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations -
Blockchain and Smart Contract-Based Framework for Crowdsourcing Computation in Web 3.0
Ghimire, B., Rawat, D. B. & Siwakoti, Y. R., 2025, Proceedings - 2025 International Conference on Metaverse Computing, Networking and Applications, MetaCom 2025. Institute of Electrical and Electronics Engineers Inc., p. 421-429 9 p. (Proceedings - 2025 International Conference on Metaverse Computing, Networking and Applications, MetaCom 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Efficient Information Dissemination in Blockchain-Enabled Federated Learning for IoV
Ghimire, B., Rawat, D. B. & Rahman, A., May 1 2024, In: IEEE Internet of Things Journal. 11, 9, p. 15310-15319 10 p.Research output: Contribution to journal › Article › peer-review
9 Link opens in a new tab Scopus citations -
Dynamic Clustering in IoV Using Behavioral Parameters and Contention Window Adaptation
Ghimire, B. & Rawat, D., Feb 1 2022, In: IEEE Transactions on Vehicular Technology. 71, 2, p. 2031-2040 10 p.Research output: Contribution to journal › Article › peer-review
13 Link opens in a new tab Scopus citations -
Enhancing Inference Time and Memory Utilization for Machine Learning in Resource Constrained Internet of Battlefield Things
Ghimire, B. & Rawat, D. B., 2022, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV. Pham, T. & Solomon, L. (eds.). SPIE, 121131H. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12113).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Link opens in a new tab Scopus citations