Bhaskar Biswas
Papers
2
Total Citations
8
H-Index
2
About
Bhaskar Biswas is an emerging researcher at the intersection of computational intelligence, the Internet of Things (IoT), and deep learning, with a focused interest in advancing future healthcare applications. His most cited work, "Computational intelligence in Internet of things for future healthcare applications" (2021), has garnered 6 citations, establishing a foundation for integrating intelligent algorithms into connected health systems. Biswas further explores the synergy between nature-inspired algorithms and modern AI in "Swarm Intelligence for Deep Learning: Concepts, Challenges and Recent Trends" (2022), a contribution that has already attracted 2 citations and highlights his ability to synthesize complex, interdisciplinary concepts. Through these efforts, Biswas is contributing to the development of more adaptive, efficient, and scalable solutions for real-world problems, particularly in healthcare monitoring and diagnostics. His work demonstrates a promising trajectory in leveraging swarm intelligence to optimize deep learning models, addressing key challenges such as data heterogeneity and resource constraints in IoT environments. As his citation impact grows, Biswas is positioning himself as a thoughtful voice in the evolution of intelligent, connected systems.
Research Focus
Key Achievements
Top Papers
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- 2