What is Engineering Informatics?
The term “informatics” broadly describes the study and practice of creating, storing, finding, manipulating and sharing information. Engineering Informatics is an engineering discipline that focuses on application of advanced computing, information and communication technology, artificial intelligence, data analytics and cognitive science in the engineering domain. In particular, the focus of Engineering Informatics (INFONEER) Research Group at Texas State University is on conducting research in explicit knowledge representation, organization, and reuse in support of knowledge-intensive activities in product design and development. We develop information models, tools, and systems (and their corresponding methodologies) for formal knowledge acquisition, organization, and synthesis with the objective of improving the intelligence of design and manufacturing systems.
We call ourselves Knowledge Engineers. Knowledge engineering is often associated with developing expert systems, including methodologies for knowledge elicitation and representation.
From a methodological standpoint, we work in the following areas:
- Ontology Engineering
- knowledge Representation and Modeling
- Robust Optimization
- Machine Learning (ML)
- Systems Engineering
- Decision Theory
- Design Theory and Methodology
- Information Theory
From an applicability standpoint, we work in the following areas:
- Supply Chain Management
- Manufacturing Diagnostics
- Design and Manufacturing Automation
- Cyberphysical Manufacturing Systems
- Smart Manufacturing/Industry 4.0
- Product Design and Developemt
The major objectives of the INFONEER Research Group are:
Objective 1: Enabling intelligent and data-driven decision making in distributed design and manufacturing through developing decision support tools, methods, and systems.
Objective 2: Enabling distributed and cyber-enabled design and manufacturing through developing tools, methods, and systems for horizontal collaboration.
Objective 3: Enabling autonomous design-to-fabrication in automated manufacturing systems through developing engineering ontologies and reasoning mechanisms.
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