معرفی
Akriti Sharma serves as a Postdoctoral Fellow in the Department of Validation Intelligence for Autonomous Software Systems at Simula Research Laboratory, specializing in artificial intelligence applications for medical diagnostics and maritime engineering.
Her core research interests span:
- Medical Image Analysis for human embryo development in IVF procedures
- Computer Vision using deep learning architectures (YOLO) for embryo cleavage detection
- Transfer Learning techniques applied to maritime shaft power prediction
- Explainable AI frameworks for clinical decision support systems
- Energy efficiency optimization in shipping through sensor data analysis
From 2022-2025, her publication trajectory shows progression from embryo cell tracking automation to cross-domain transfer learning applications. Early work focused on time-lapse video analysis for cleavage timing prediction, evolving toward AI-driven embryo quality assessment and maritime power forecasting, demonstrating consistent innovation in real-world AI deployment.
No scientific awards or honors were documented in the source material.
Information regarding student advisement, research grants, or educational background was not provided in the available text.
As part of Simula's Validation Intelligence for Autonomous Software Systems department, she contributes to developing rigorous validation methodologies ensuring safety and reliability in autonomous AI systems across healthcare and maritime sectors.
