Muhammad Gibran Alfarizi
Background and activities
Gibran is a PhD Candidate at the Department of Mechanical and Industrial Engineering, NTNU. His research interests include safety and reliability, data-driven monitoring and optimization, and predictive maintenance.
Scientific, academic and artistic work
- (2022) Well control optimization in waterflooding using genetic algorithm coupled with Artificial Neural Networks. Upstream Oil and Gas Technology. vol. 9.
- (2022) An Extreme Gradient Boosting Aided Fault Diagnosis Approach: A Case Study of Fuse Test Bench. IEEE Transactions on Artificial Intelligence.