A5076364495- Augmented Reality Applications
- Human-Automation Interaction and Safety
- Bioinformatics and Genomic Networks
- Computational Drug Discovery Methods
- Human Motion and Animation
- Human Pose and Action Recognition
- 3D Surveying and Cultural Heritage
- Gene expression and cancer classification
- 3D Shape Modeling and Analysis
- Additive Manufacturing and 3D Printing Technologies
- Transportation and Mobility Innovations
- Additive Manufacturing Materials and Processes
- Welding Techniques and Residual Stresses
- AI in Service Interactions
New York University
2023-2025
Northrop Grumman (United States)
2024
National Center for Advancing Translational Sciences
2023
National Institutes of Health
2023
Rutgers, The State University of New Jersey
2022
Physics-informed machine learning is emerging through vast methodologies and in various applications. This paper discovers physics-based custom loss functions as an implementable solution to additive manufacturing (AM). Specifically, laser metal deposition (LMD) AM process where a beam melts deposited powder, the dissolved particles fuse produce components. Porosity, or small cavities that form this printed structure, generally considered one of most destructive defects AM. Traditionally,...
The concept of an AI assistant for task guidance is rapidly shifting from a science fiction staple to impending reality. Such system inherently complex, requiring models perceptual grounding, attention, and reasoning, intuitive interface that adapts the performer's needs, orchestration data streams many sensors. Moreover, all acquired by must be readily available post-hoc analysis enable developers understand performer behavior quickly detect failures. We introduce TIM, first end-to-end...
The concept of augmented reality (AR) assistants has captured the human imagination for decades, becoming a staple modern science fiction. To pursue this goal, it is necessary to develop artificial intelligence (AI)-based methods that simultaneously perceive 3D environment, reason about physical tasks, and model performer, all in real-time. Within framework, wide variety sensors are needed generate data across different modalities, such as audio, video, depth, speech, time-of-flight....
Abstract Background Glioblastoma (GBM) is the most aggressive and common malignant primary brain tumor; however, treatment remains a significant challenge. This study aims to identify drug repurposing or repositioning candidates for GBM by developing an integrative rare disease profile network containing heterogeneous types of biomedical data. Methods We developed Glioblastoma-based Biomedical Profile Network (GBPN) extracting integrating information pertinent GBM-related diseases from NCATS...
The concept of an intelligent augmented reality (AR) assistant has significant, wide-ranging applications, with potential uses in medicine, military, and mechanics domains. Such must be able to perceive the environment actions, reason about state relation a given task, seamlessly interact task performer. These interactions typically involve AR headset equipped sensors which capture video, audio, haptic feedback. Previous works have sought facilitate development assistants by visualizing...
The concept of augmented reality (AR) assistants has captured the human imagination for decades, becoming a staple modern science fiction. To pursue this goal, it is necessary to develop artificial intelligence (AI)-based methods that simultaneously perceive 3D environment, reason about physical tasks, and model performer, all in real-time. Within framework, wide variety sensors are needed generate data across different modalities, such as audio, video, depth, speech, time-of-flight....
The concept of an intelligent augmented reality (AR) assistant has significant, wide-ranging applications, with potential uses in medicine, military, and mechanics domains. Such must be able to perceive the environment actions, reason about state relation a given task, seamlessly interact task performer. These interactions typically involve AR headset equipped sensors which capture video, audio, haptic feedback. Previous works have sought facilitate development assistants by visualizing...
As the uses of augmented reality (AR) become more complex and widely available, AR applications will increasingly incorporate intelligent features that require developers to understand user's behavior surrounding environment (e.g. an assistant). Such rely on video captured by headset, which often contains disjointed camera movement with a limited field view cannot capture full scope what user sees at any given time. Moreover, standard methods visualizing object detection model outputs are...
Glioblastoma (GBM) is the most aggressive and common malignant primary brain tumor; however, treatment remains a significant challenge. This study aims to identify drug repurposing candidates for GBM by developing an integrative rare disease profile network containing heterogeneous types of biomedical data.