Automated Ichnofabric Analysis with Deep Learning for Marine Core Research

This project proposes a completely novel workflow to automate the detection and quantification of bioturbation (i.e., biological sediment mixing by infaunal organisms) in deep-ocean sediment cores using the proven capabilities of neural networks in complex image interpretation. The new technique will enable precise, objective, and efficient quantification and identification of bioturbation types caused by infaunal activity, overcoming current limitations that rely on expert interpretation and require highly specialized ichnological training. The student exchange will bring a talented PhD student from a leading UK university to Western University, creating a valuable new international collaboration. It will expose Dr. Shchepetkina at Western University to a cutting-edge partnership in Artificial Intelligence (AI) with a world expert (Dr. John) at a top UK institution. The student is a recipient of the prestigious HSS Principal’s Doctoral Research Studentship—a scholarship awarded only to top students—and will contribute their expertise to Western University’s ongoing research for four months. This collaboration benefits Western University by enhancing its capacity in AI-driven science and establishing direct ties with world-leading AI knowledge from the UK. For the UK institution, it provides a unique international experience for a top student and strengthens global academic cooperation to advance critical research.

Faculty Supervisor:

Alina Shchepetkina

Student:

Partner:

Queen Mary, University of London

Discipline:

Earth science

Sector:

Education

University:

The University of Western Ontario

Program: