# Tsung-Han Tsai

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/tsung-han-tsai/

## Facts

| Field | Value |
| --- | --- |
| Citations | 106 |
| Field | Manufacturing Process and Optimization |
| h-index | 6 |
| i10-index | 5 |
| Last Known Institution | National Taipei University of Business |
| OpenAlex ID | https://openalex.org/A5007543711 |
| ORCID iD | 0000-0001-9745-5957 |
| Works | 15 |

## Researcher papers

- [Automatic Virtual Metrology and Deformation Fusion Scheme for Engine-Case Manufacturing](https://scholariq.org/papers/automatic-virtual-metrology-and-deformation-fusion-scheme-for-engine-case/)
- [Design of Green Power Clouds for Intelligent Virtual Power Plants](https://scholariq.org/papers/design-of-green-power-clouds-for-intelligent-virtual-power-plants/)
- [A Digital Twin Framework With Bayesian Optimization and Deep Learning for Semiconductor Process Control](https://scholariq.org/papers/a-digital-twin-framework-with-bayesian-optimization-and-deep-learning-for/)
- [I4.2-GiM: A Novel Green Intelligent Manufacturing Framework for Net Zero](https://scholariq.org/papers/i4-2-gim-a-novel-green-intelligent-manufacturing-framework-for-net-zero/)
- [Generative AI for Intelligent Manufacturing Virtual Assistants in the Semiconductor Industry](https://scholariq.org/papers/generative-ai-for-intelligent-manufacturing-virtual-assistants-in-the/)
- [Generative AI-Driven Data Augmentation for Robust Virtual Metrology: GANs, VAEs, and Diffusion Models](https://scholariq.org/papers/generative-ai-driven-data-augmentation-for-robust-virtual-metrology-gans-vaes/)
- [A Gradual Refreshing Scheme for Improving Tool Utilization](https://scholariq.org/papers/a-gradual-refreshing-scheme-for-improving-tool-utilization/)
- [Large Pre-Trained Models and Few-Shot Fine-Tuning for Virtual Metrology: A Framework for Uncertainty-Driven Adaptive Process Control in Semiconductor Manufacturing](https://scholariq.org/papers/large-pre-trained-models-and-few-shot-fine-tuning-for-virtual-metrology-a/)
- [CLARiC: Contrastive Learning and Root-Cause Inference With Causality for Explainable Smart Manufacturing](https://scholariq.org/papers/claric-contrastive-learning-and-root-cause-inference-with-causality-for/)
- [Near-Optimal Scheduling for IC Packaging Operations Considering Processing-Time Variations and Factory Practices](https://scholariq.org/papers/near-optimal-scheduling-for-ic-packaging-operations-considering-processing-time/)

## Researcher topics

- [Manufacturing Process and Optimization](https://scholariq.org/topics/manufacturing-process-and-optimization/)
- [Digital Transformation in Industry](https://scholariq.org/topics/digital-transformation-in-industry/)
- [Scheduling and Optimization Algorithms](https://scholariq.org/topics/scheduling-and-optimization-algorithms/)
- [Advanced Multi-Objective Optimization Algorithms](https://scholariq.org/topics/advanced-multi-objective-optimization-algorithms/)
- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)

## Researcher university

- [National Taipei University of Business](https://scholariq.org/institutions/national-taipei-university-of-business/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.