On-Going Research
Automating Style Analysis and Visualization With Explainable AI - Case Studies on Brand Recognition
A deep learning, data-driven way to automatically learn brand-related features
Coupling Simulated Annealing and Homogenization to Design Thermally Conductive Hybrid Lattice Support Structure for LPBF
A framework to create hybrid lattice support structures by modifying simulated annealing and incorporating homogenization approximation.
Generating Coated DNA Origami Designs
Using an improved shape annealing algorithm, we can generate hollow DNA origami designs with porous walls.
Generating High-Order Linkage Graphs for Path Synthesis
Using Deep RL and Graph Networks for Linkage Design
A Mixed Reality System Combining Augmented Reality, 3D Bio Printed Physical Environments and Inertial Measurement Unit Sensors for Task Planning
Using Mixed Reality to Improve Surgical Training
Using Multi Agent Systems to Computationally Study Set-Based Concurrent Engineering
Understanding the impacts of Set-Based Concurrent Engineering on engineering design teams
Computational Modeling of Designer Proficiency
Understanding the differences in proficiency designers in engineering configuration design problems and creating computational models of these differences
Human designers’ dynamic confidence and decision-making with an AI teammate
Understanding Decision-making assistance by an AI
Computationally Facilitating the Problem-Solving Design Process Via Real-Time Process Management
AI Project Managers
Exploring the Effects of Adaptive Process Management on Design Teams and Design Problem-Solving
Generative Design Using AI
Learning to design from humans: developing visual design agents
Human & AI Hybrid Teams
Assessing the Impact of a Deep Learning AI on Distributed Human Design Teams
Prior Research
Using Neuroimaging to Understand Multi-Attribute Product Preference Judgments Involving Sustainability
Disease Identification in Histopathological Imaging Using Multi-Resolution Hierarchical Convolutional Neural Networks
Applying Machine Learning Methods toward Classification based on Small Datasets with Application to Shoulder Labral Tears
