Ramin Sabbagh, an INFONEER alumni, has won the 2018–2019 Graduate College Outstanding Master’s Thesis Award in the Mathematics, Physical Sciences, and Engineering. His thesis, “Semantic Text Analytics Technique for Classification of Manufacturing Suppliers“, was directed by Dr. Farhad Ameri, Associate Professor in the Department of Engineering Technology. Ramin is currently a Ph.D. student in the Mechanical Engineering…

The paper titled “Skill Modeling for Digital Factories” was presented in the Industry 4.0- Digital Twin session at APMS conference in Seoul, South Korea in August 2018. The presenter was Damiano Arena from EPFL, Switzerland, who was also the lead author on this paper. Abstract:  In the past two decades, the use of ontologies has…

The paper titled “Supplier Clustering Based on Unstructured Manufacturing Capability Data” was presented at ASME IDETC/CIE 2018 conference in Quebec City on August 28th. Ramin Sabbagh was the primary author on this paper.  In this research, we successfully demonstrated how a hybrid approach based on document cluttering (K-means method) and topic modeling  (supported by LDA) can be…

The first IOF (Industrial Ontology Foundry) )working group workshop was held in Buffalo in July 2018. The objective was to develop a tentative roadmap for the next few months. Below is the summary of the developed roadmap: September 2018 – create mobi repository for IOF ontologies in OWL, and use COLORE as home for Common…

Farhad Ameri, an associate professor of manufacturing engineering and technology at Texas State University and an expert in design theory and ontology engineering, will deliver the keynote address for a UB workshop that seeks to advance the understanding of capabilities within information systems. “Capabilities: Human and Machine” will take place at 12:45 p.m. April 20…

Our paper title”Concept-Based Text Mining Technique for Semantic Classification of Manufacturing Suppliers” was featured on the ASTM Journal of Sustainable and Smart Manufacturing Systems. SSMS-CFP_featured-Papers[1]

Our paper, titled ”  A Thesaurus-guided Text Analytics Technique for Capability-based Classification of Manufacturing Suppliers” received the the  2017 SEIKM/CIE Best Paper award. The CIE conference was held is Cleveland, OH in August 2017. Paper Abstract:  Capability analysis is a necessary step in the early stages of supply chain formation. Most existing approaches to manufacturing capability…

CaMDiF project has a logo now!!  We digitize the factories and blow them into the clouds !!

Texas State’s first Digital Manufacturing and Design Innovation Institute ( DMDII ) project was kicked off in the UI LABS headquarter in downtown Chicago on February 10th 2017.Dr. Farhad Ameri is the PI from Texas State on this project. The project is titled “Capability Modeling for Digital Factory (CaMDiF)”. The objective this project is to…

Dr. Ameri Attended the first workshop on Industrial Ontology Foundry (IOF) at NIST, Gaithersburg, MD. The objective of this first workshop was to identify industry needs and research issues that will lead to a roadmap for development of such IOF. Academic and industrial representatives (including representatives form Dassault Systems, JPL,  and Autodesk) participated in this workshop to…