Research

Hazard function estimation from incomplete reliability data 

Diagnostics

Warranty data analysis

Statistics / Probability Theory

EM algorithm

Stochastic processes

False-alarm detection

In-FAB prediction

Prognostics & Health Management

Predictive Maintenance & Fab scheduling

Deep Learning/Active Learning/Semi-supervised Learning/Open-set Recognition

(Deep) Reinforcement Learning (DRL) / Evolutionary Strategies (ES)

Learned Black-box Model Analysis & Monitoring via Explainable Artificial Intelligence (XAI)

Analyzing "black-box" policies via Explainable Reinforcement Learning (XRL)

Analysis of structural properties of reinforcement learning algorithms to industrial engineering problems

Estimate parameters of well-known Markovian models via recent ML techniques

Development of dominance rules for more efficient algorithms

Stochastic dynamic programming / Approximate dynamic Programming

Markovian models / Markov Decision Process (MDP)

Mathematical Programming