More Engineering Applications

We are open to discussion and collaboration to solve real-world engineering problems across diverse domains. Our research team leverages advanced AI-driven approaches, physics-based modeling, and optimization techniques to address complex challenges in various engineering applications. If you have a challenging engineering problem that could benefit from our expertise in machine learning, generative design, physics-informed modeling, or process optimization, we welcome opportunities for collaboration and discussion.

Engineering Solutions

Engineering Solutions

We are committed to applying our expertise in AI, physics-based modeling, and optimization to solve real-world engineering challenges. Our team is open to discussion and collaboration on diverse engineering problems. Whether you’re working on complex systems design, process optimization, predictive maintenance, reliability analysis, or other engineering challenges, we welcome the opportunity to explore how our research methodologies can contribute to innovative solutions.

Related Publications
Physics-Grounded Monocular Vehicle Distance Estimation Using Standardized License Plate Typography

Apr 1, 2026

Typography-Based Monocular Distance Estimation Framework for Vehicle Safety Systems

Mar 1, 2026

Uncertainty Quantification of Additively Manufactured Architected Cellular Materials for Energy Absorption Applications

Sep 1, 2025

Transductive Transfer Learning Features for Prognostics and Health Management

Jan 27, 2025

Prediction of Electromigration Failure of Solder Joints via Surrogate Model Integrated With Conformal Inference

Jan 1, 2025

Multi-Task Learning for Design Under Uncertainty With Multi-Fidelity Partially Observed Information

Aug 1, 2024

Uncertainty Quantification of Mechanical Behavior of Corroded Al-Fe Self-Pierce Riveting Joints with Statistical Shape Modeling

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Adaptive Machine Learning with Physics-Based Simulations for Mean Time to Failure Prediction of Engineering Systems

Dec 1, 2023

Co-Design Optimization of Combined Heat and Power-Based Microgrids

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Mean Time to Failure Prediction for Complex Systems with Adaptive Surrogate Modeling

Aug 20, 2023

Multi-Task Multi-Fidelity Machine Learning for Reliability-Based Design with Partially Observed Information

Aug 20, 2023

Uncertainty Quantification on Mechanical Behavior of Corroded Plate with Statistical Shape Modeling

Aug 20, 2023

A Dynamic Multi-Stage Design Framework for Staged Deployment Optimization of Highly Stochastic Systems

Jul 1, 2023

A Smart Coating with Integrated Physical Antimicrobial and Strain-Mapping Functionalities for Orthopedic Implants

May 5, 2023