Bill Tseng

Professor & Chair

University of Texas at El Paso

United States

Research Interests

Explore related searches

Professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Bill Tseng is a Professor and Chair at The University of Texas at El Paso, USA. His research areas encompass methodologies for evaluating foreign object migration in aircraft fuel tanks, urban greenness for sustainable environmental development, and generative AI applications in semiconductor manufacturing. He has published extensively on topics including human digital twins for quality assurance and machine-learning-enabled diagnostics in medical imaging.

Articles (10)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

University of Texas at El Paso

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Bill Tseng

Research Interests

Explore related searches

Contact this professor

About

Articles (10)

Methodologies for Evaluation of Foreign Object Migration Within Aircraft Fuel Tank

Evaluating and Predicting Urban Greenness for Sustainable Environmental Development

Generative AI-Driven Data Augmentation for Robust Virtual Metrology: GANs, VAEs, and Diffusion Models

A Multi-Machine and Multi-Modal Drift Detection (M2D2) Framework for Semiconductor Manufacturing

Methodology for Enablement of Human Digital Twins for Quality Assurance in the Aerospace Manufacturing Domain

Generative AI for Intelligent Manufacturing Virtual Assistants in the Semiconductor Industry

A Digital Twin Framework With Meta- and Transfer Learning for Scalable Multi-Machine Modeling and Optimization in Semiconductor Manufacturing

GPT-Augmented Bayesian Reinforcement Learning Framework for Multi-Objective Supplier Selection

Large Pre-Trained Models and Few-Shot Fine-Tuning for Virtual Metrology: A Framework for Uncertainty-Driven Adaptive Process Control in Semiconductor Manufacturing

Machine-Learning-Enabled Diagnostics with Improved Visualization of Disease Lesions in Chest X-ray Images

Collaborators (5)

CHIN-YI LIN

Md Fashiar Rahman

Johnny Ho

Peter Mccaffrey

Michael Pokojovy

Make your next move.