A5028943520- 3D Printing in Biomedical Research
- Additive Manufacturing and 3D Printing Technologies
- Manufacturing Process and Optimization
- Bone Tissue Engineering Materials
- Digital Transformation in Industry
- 3D Shape Modeling and Analysis
- Anatomy and Medical Technology
- IoT and Edge/Fog Computing
- Blockchain Technology Applications and Security
- Cellular and Composite Structures
- Industrial Vision Systems and Defect Detection
- Electrospun Nanofibers in Biomedical Applications
- Pluripotent Stem Cells Research
- Advanced machining processes and optimization
- Image Processing and 3D Reconstruction
- Innovative Microfluidic and Catalytic Techniques Innovation
- Flexible and Reconfigurable Manufacturing Systems
- Advanced Machining and Optimization Techniques
- Advanced Manufacturing and Logistics Optimization
- Topic Modeling
- Data Quality and Management
- Computer Graphics and Visualization Techniques
- Innovations in Concrete and Construction Materials
- Dental Implant Techniques and Outcomes
- Scheduling and Optimization Algorithms
Arizona State University
2023-2024
North Carolina State University
2015-2023
University of North Carolina at Chapel Hill
2016-2022
North Central State College
2019-2021
University of Oklahoma
2007-2020
UNC/NCSU Joint Department of Biomedical Engineering
2015-2018
Drexel University
2003-2006
This paper presents sensor data integration and information fusion to build “digital-twins” virtual machine tools for cyber-physical manufacturing. Virtual are useful simulating tools’ capabilities in a safe cost-effective way, but it is challenging accurately emulate the behavior of physical tools. When tool breaks down or malfunctions, engineers can always go back check digital traces diagnosis prognosis. an manufacturing sensory into developing improve their accountability The used...
Bioinks play a central role in 3D-bioprinting by providing the supporting environment within which encapsulated cells can endure stresses encountered during digitally driven fabrication process and continue to mature, proliferate, eventually form extracellular matrix (ECM). In order be most effective, it is important that bioprinted constructs recapitulate native tissue milieu as closely possible. As such, musculoskeletal soft benefit from bioinks mimic their nanofibrous constitution, also...
Computer‐aided tissue engineering (CATE) enables many novel approaches in modelling, design and fabrication of complex substitutes with enhanced functionality improved cell–matrix interactions. Central to CATE is its bio‐tissue informatics model that represents biological, biomechanical biochemical information serves as a central repository interface design, simulation fabrication. The present paper discusses the application approach biomimetic bone scaffold. A general CATE‐based process for...
With product customization an emerging business opportunity, organizations must find ways to collaborate and enable sharing of information in inherently trust-less network. In this paper, we propose – “FabRec”: a decentralized approach handle manufacturing generated by various using blockchain technology. We system which network machines computing nodes can automated transparency organization’s capability, third party verification such capability through trail past historic events mechanisms...
Abstract Data-driven approaches for machine tool wear diagnosis and prognosis are gaining attention in the past few years. The goal of our study is to advance adaptability, flexibility, prediction performance, horizon online monitoring prediction. This paper proposes use a recent deep learning method, based on Gated Recurrent Neural Network architecture, including Long Short Term Memory (LSTM), which try captures long-term dependencies than regular method modeling sequential data, also...
Abstract The billions of specimens housed in natural science collections provide a tremendous source under–utilized data that are useful for scientific research, conservation, commerce, and education. Digitization mobilization specimen images promises to greatly accelerate their utilization. While digitization collection has been occurring decades, the vast majority remain un–digitized. If task is be completed near future, innovative, high–throughput approaches needed. To create dataset...