I’m currently pursuing an M.Sc. in Computer Science at NTNU, specializing in Artificial Intelligence.
Master's Thesis: Anomaly Detection in Chest X-rays
- Developing deep learning models for medical image anomaly detection.
- Monte Carlo Tree Search and Neural Networks
- Uses Monte Carlo Tree Search (MCTS) and a neural network to iteratively improve game-playing policies through simulated training and reinforcement learning.
- Autoencoders and Variational Autoencoders
- Implements autoencoders and variational autoencoders for image generation and anomaly detection using MNIST data.
- Power Consumption Forecasting
- Develops and compares LSTMs, CNNs, and feed-forward networks to forecast 24-hour electric power consumption using historical data.
- Movi.com
- Movi.com is a website built with React and TypeScript, using GraphQL for queries, TanStack Query for data fetching, and a custom backend powered by Apollo Server and a Prisma database
- Email: bjorn.melaaen@gmail.com
- LinkedIn: here