I am a Researcher at NORCE Norwegian Research Centre, specializing in machine learning and its applications to infrastructure monitoring, healthcare technology, and aquaculture. My research focuses on developing AI systems that work reliably with real-world sensor data — from fiber optic sensing in pipelines to computer vision for subsea inspection.
Research Interests
Machine Learning · Deep Learning · Computer Vision · Distributed Sensor Systems · Remote Sensing · 3D Point Cloud Processing · Physics-Informed Neural Networks · Healthcare Technology
Current Projects
- NOR-DMT: Digital Music Therapy — Developing an AI-powered platform for virtual music therapy, with machine learning models that analyze patient engagement patterns during sessions. Built on secure, GDPR-compliant infrastructure with real-time clinical reporting capabilities.
- AQUAROM: Aquaculture Disease Management — International collaboration with partners in Norway, the Philippines, and Indonesia, investigating whether smart algorithms with minimal sensors can match expensive monitoring systems for early disease detection in fish farming.
- Fiber Optic Sensing & Flow Estimation — Systems using distributed acoustic sensing (DAS) and distributed temperature sensing (DTS) for leak detection in water pipelines and multiphase fluid flow estimation in industrial applications.
- Computer Vision for Subsea Inspection — Deep learning systems for detecting anomalies and classifying objects in underwater imagery.
- Climate Teleconnection Analysis — Analyzing distant climate interactions using high-performance computing resources from NAIC.
- LLM Evaluation — Methods to detect and reduce hallucinations in large language model outputs.
Education
Ph.D. in Applied Informatics, Norwegian University of Life Sciences (2020) M.Sc. in Informatics, Bandung Institute of Technology (2016) B.Sc. in Computer Science, Sepuluh Nopember Institute of Technology (2011)
Publications
- HA Arief, PJ Thomas, W Li, C Brekken, M Hjelstuen, IE Smith, S Kragset, AK Katsaggelos. Nonlinear interpolated Variational Autoencoder for generalized fluid content estimation. Geoenergy Science and Engineering, 2025
- F Hasan, H Ali, HA Arief. From Mesh to Neural Nets: A Multi-method Evaluation of Physics Informed Neural Network and Galerkin Finite Element Method for Solving Nonlinear Convection–Reaction–Diffusion Equations. International Journal of Applied and Computational Mathematics, 2025
- HA Arief, PJ Thomas, T Wiktorski. Better modeling out-of-distribution regression on distributed acoustic sensor data using anchored hidden state mixup. IEEE Transactions on Industrial Informatics, 2022
- HA Arief, PJ Thomas, K Constable, AK Katsaggelos. Towards Building a Distributed Virtual Flow Meter via Compressed Continual Learning. Sensors, 2022
- HA Arief, T Wiktorski, PJ Thomas. A survey on distributed fibre optic sensor data modelling techniques and machine learning algorithms for multiphase fluid flow estimation. Sensors, 2021
- HA Arief, M Arief, G Zhang, Z Liu, M Bhat, UG Indahl, H Tveite, D Zhao. SAnE: Smart annotation and evaluation tools for point cloud data. IEEE Access, 2020
- HA Arief, UG Indahl, GH Strand, H Tveite. Addressing Overfitting on Point Cloud Classification using Atrous XCRF. ISPRS Journal of Photogrammetry and Remote Sensing, 2019
- HA Arief, GH Strand, H Tveite, UG Indahl. Land cover segmentation of airborne LiDAR data using stochastic atrous network. Remote Sensing, 2018
Links
Google Scholar · ResearchGate · Cristin · GitHub
Last updated: November 2025 — tone and grammar edited by AI
