Fakultas

ARAFA Lab is an interdisciplinary research laboratory focused on the development and application of advanced analytical methods for risk, actuarial, and finance.

The lab integrates quantitative approaches, data science, machine learning, deep learning, and optimization techniques to support strategic decision-making in the risk management, insurance, and financial services sectors.

Research & Output

Research Area:

  1. Interpretable, multi-modal, multi-task artificial intelligence for risk modeling
  2. Financial portfolio optimization, including stochastic and heuristic optimization, for more accurate analytical results and model efficiency.
  3.  Actuarial models and quantitative risk management
  4. Econometric and data-driven forecasting methods
  5. Probability distribution and applied stochastic process

Roadmap