Projects

Human-centric AI that aims at Interaction between human and ML&DL models via explainability and visualization

• Augmenting BERT-based TOD system with financial ontology (Jisoo Jang) – combining ML model and knowledge base [LINK]

• Human-centric model training (Jisoo Jang) – new design of NN structure and converting human input to part of the model

• Fusion of ML and knowledge base/human input (WSL’s BP project): Bi-direction exchange between ML and knowledge base with flexible converting operators

XAI aims at Interpretation, reliability, verifiability, traceability, auditability, trustworthiness, fairness, and safety of ML&DL models

• XAI for professional classic piano music (Jisoo Park, Bjørn Are Therkelsen)

• Device Life Expectation Estimation (Jisoo / Chang) [LINK]

• ML model reliability testing and safety assessment (TBD)

• XAI for high criminal rate (student group project)

• Bias analysis for criminal sentencing (XAI class student project)

• XAI for factors with time delay effects or continuous effects (WSL, Jisoo Jang, Naomi) scenarios include

  • The high crime rate, supply chain bottleneck,

  • Air pollution, global warming. This is a combination of ambient AI and XAI (Cha, WSL)

  • Sleeping disorder analysis (Chang Sub Chang)

Causal discovery aims to find causal structures by analyzing observational data.

• Data partition and parallel causal discovery (Iju Lee)

• The architectural design of GNN Ensemble (Duc) – similar to TPOT/AutoML

• Graph database system (Iiju, Alex)

• Knowledge discovery in supply chain graphic data (Naomi)