Papers

6

Total Citations

51

H-Index

4

About

Subhransu Sekhar Dash is a researcher whose work spans intelligent computing, fuzzy logic control systems, and autonomous robotics, with a particular focus on applying advanced computational methods to real-world engineering challenges. His most impactful contribution, the edited volume *Intelligent Computing and Applications* (2020), has garnered 30 citations and reflects his sustained commitment to bringing together cutting-edge research across AI and computing disciplines. Dash has been instrumental in organizing and advancing the academic community through his leadership of the International Conference on Intelligent Computing and Applications (ICICA), whose proceedings have collectively contributed to broader scholarly discourse in the field. Among his notable technical contributions are pioneering designs of microcontroller-based fuzzy logic controllers for remotely operated robots, including specialized mine-detecting systems intended for high-risk defense environments. These systems, detailed in multiple publications from 2012 to 2014, demonstrate Dash's commitment to leveraging intelligent control systems for life-saving applications in defense, agriculture, and disaster response. By combining virtual instrumentation with online fuzzy control architectures, his work bridges theoretical AI with practical robotics deployment. With a cumulative citation record reflecting growing recognition, Dash stands as a meaningful contributor to applied intelligent systems research.

Research Focus

Key Achievements

4
H-Index
6
Papers
51
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent Computing and Applications
30 citations · 2020
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Systems Research Institute, Indian Statistical Institute, SRM University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago