pARametric: Empowering In Situ Parametric Modeling in Augmented Reality for Personal Fabrication

by Karthik Ramani | Apr 14, 2025 | 2025, Jingyu Shi, Karthik Ramani, Min Liu, Runlin Duan, Xiyun Hu

Parametric modeling software is a powerful design tool for defining complex geometries, controlling precise dimensions, and maintaining design intent during iterative modifications. However, such software challenges novice users due to the complex user interfaces,...

Virtual Reality in Manufacturing Education: A Scoping Review Indicating State-of-the-Art, Benefits, and Challenges Across Domains, Levels, and Entities

by Ananya Ipsita | Mar 25, 2025 | 2025, Ananya Ipsita, Karthik Ramani, Runlin Duan, Ziyi Liu

To address the shortage of a skilled workforce in the U.S. manufacturing industry, immersive Virtual Reality (VR)-based training solutions hold promising potential. To effectively utilize VR to meet workforce demands, it is important to understand the role of VR in...

Dual Neural Network (DuNN) method for elliptic partial differential equations and systems

by Min Liu | Mar 11, 2025 | 2025, Karthik Ramani, Min Liu

This paper presents the Dual Neural Network (DuNN) method, a physics-driven numerical method designed to solve elliptic partial differential equations and systems using deep neural network functions and a dual formulation. The underlying elliptic problem is formulated...

Visualizing Causality in Mixed Reality for Manual Task Learning: A Study

by Rahul Jain | Feb 24, 2025 | 2025, Augmented Reality, Featured Publications, Hyungjun Doh, Jingyu Shi, Karthik Ramani, Rahul Jain, Recent Publications, Subramanian Chidambaram

Mixed Reality (MR) is gaining prominence in manual task skill learning due to its in-situ, embodied, and immersive experience. To teach manual tasks, current methodologies break the task into hierarchies (tasks into subtasks) and visualize not only the current...

Investigating Creativity in Humans and Generative AI Through Circles Exercises

by Karthik Ramani | Feb 11, 2025 | 2025, Karthik Ramani, Runlin Duan

Generative AI (GenAI) is transforming the creativity process. However, as presented in this paper, GenAI encounters “narrow creativity” barriers. We observe that both humans and GenAI focus on limited subsets of the design space. We investigate this...

CATSplat: Context-Aware Transformer with Spatial Guidance for Generalizable 3D Gaussian Splatting from A Single-View Image

by Seunggeun Chi | Feb 3, 2025 | 2025, Karthik Ramani, Sangpil Kim, Seunggeun Chi

Recently, generalizable feed-forward methods based on 3D Gaussian Splatting have gained significant attention for their potential to reconstruct 3D scenes using finite resources. These approaches create a 3D radiance field, parameterized by per-pixel 3D Gaussian...