Sam Fetherstonhaugh

Sam Fetherstonhaugh is a Researcher in the Department of Computer Science at Aberystwyth University, holding a Doctor of Philosophy. His work bridges robotics, computational geology, and bio-inspired design. His research focuses on optimizing robotic systems through insights from fish kinematics and applying machine learning techniques to geological data analysis.

Education: Doctor of Philosophy (PhD), Aberystwyth University

Research Interests: Bio-inspired robotics, fish motion analysis for robot design, fuzzy logic applications in geology, petroleum reservoir characterization through well log analysis. He explores how biological systems' principles can enhance robotic locomotion and autonomous decision-making.

Publications: Recent work includes advancing lithology classification using fuzzy inference systems and developing segmentation algorithms for fish midlines to improve robotic efficiency. His studies suggest unified control strategies for carangiform swimming could revolutionize underwater robotics.

Grants & Awards: No specific grants or awards mentioned.

Advising: Authored a Master's thesis titled 'Automated Optimised Segmentation of Swimming Fish Midlines' under supervision by Dr. O. Akanyeti and Dr. N. Mac Parthalain.