Papers
3
Total Citations
8
H-Index
2
About
Ban-Sok Shin is a pioneering researcher at the intersection of autonomous robotics, geophysical exploration, and distributed signal processing. His work focuses on enabling multi-agent systems—particularly swarms of mobile robots—to conduct large-scale subsurface imaging and seismic surveys autonomously. Shin’s major contributions include the development of the adapt-then-combine full waveform inversion (ATC-FWI) framework, which integrates distributed computing with robotic platforms to perform 3D seismic exploration in a hardware-in-the-loop system. He has also advanced swarm exploration by proposing a probabilistic learning framework that unifies exploration and communication—two traditionally separate domains—into a mutually-aware system. In signal processing, Shin introduced a distributed blind deconvolution algorithm for seismic reflectivity surveys, designed for sensor networks and robot swarms. While his most-cited works currently have modest citation counts (2–3 each), they represent foundational steps in a nascent field. His notable achievement includes integrating these algorithms into the ROS2 framework, bridging theory and real-world deployment. Shin’s research is particularly relevant for students and engineers interested in autonomous geophysics, distributed sensing, and swarm intelligence.
Research Focus
Key Achievements
Top Papers
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