1. Enable automated intelligent decision-making in distributed design, manufacturing, and logistics through developing decision support tools and semantic information models.
2. Enable distributed and cyber-enabled design and manufacturing through developing tools, methods, and systems for horizontal collaboration.
3. Provide manufacturing systems and assets with cognitive capabilities to enable autonomous design-to-fabrication in automated manufacturing systems.
4. Improve the performance of machine learning techniques through semantic enrichment, integration, and harmonization of data.
Research Experience
Work Experience: Conducting research at the Semantic Computing Lab of Arizona State University, focusing on developing formal ontologies and semantic knowledge graphs along with tools and methods to improve intelligence and interoperability in design and manufacturing systems and digital supply networks.
Research Projects: Involves distributed design and manufacturing, development of automated decision support tools, and semantic information models.
Education
Not Provided
Background
Research Interests: Knowledge Representation and Reasoning (KRR), Ontology Engineering, Semantic Knowledge Graphs (SKG), and their applications in digital manufacturing systems and supply chains. Specialties include Neurosymbolic AI, Graph-native Machine Learning (GN-ML), Natural Language Processing (NLP), etc.
Miscellany
Additional Information: The lab is part of the Ira A. Fulton Schools of Engineering at Arizona State University, emphasizing interdisciplinary education, research, and industry engagements in manufacturing systems and networks.