UTEP CS Bio Sketches: Paulo Pinheiro da Silva

Paulo Pinheiro da Silva
Assistant Professor
Department of Computer Science
The University of Texas at El Paso
El Paso, Texas, 79968-0518
email: paulo@utep.e--
Phone: 915 - 747-6827
Fax: 915 - 747-5030

Paulo's Home Page

Paulo Pinheiro da Silva is an Assistant Professor in Computer Science at the University of Texas at El Paso. He received both his undergraduate in Mathematics and his M.Sc. degree in computer science from the Federal University of Minas Gerais, Brazil, and his Ph.D. in computer science from Manchester University, UK. Prior to joining UTEP, he spent three and a half years at Stanford University as a postdoctoral fellow in the Knowledge Systems Laboratory, Department of Computer Science.
Paulo has over 10 years of academic research experience in three countries. Currently he is a co-leader of the Inference Web (IW) project, a collaborative effort between Stanford University and UTEP. IW aims to provide an infrastructure for explaining and trusting answers from heterogeneous Semantic Web agents and services. The infrastructure includes tools, services, and language specifications for storing, exchanging, combining, annotating, abstracting, summarizing, comparing and rendering answer justifications and justification-related metadata provided by reasoners, query answering systems, and web users. The Inference Web is being used as an infrastructure for explanations in a number of DARPA and ARDA projects.
Paulo also has over 15 years of experience as an IT consultant working for public and private companies in Brazil. He has participated in the design, development, test, deployment and maintenance of numerous mission critical systems. His industrial experience includes the development of methods and tools to facilitate and simplify user tasks when interacting with software systems. In the area of legacy system maintenance, he developed performance analysis methods for assessing the risk of upgrading the systems by adopting new technologies. Working towards the goal of supporting the design of mainstream applications and their user interfaces in integrated, systematic ways, he developed the UMLi language for modeling interactive systems as an extension to UML.
Paulo's current research focuses on developing principles, methods, and infrastructure enabling explainable and trustable systems.

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			Paulo Pinheiro da Silva Assistant Professor Department of Computer Science The University of Texas at El Paso El Paso, Texas, 79968-0518 email: paulo@utep.e-- Phone: 915 - 747-6827 Fax: 915 - 747-5030 Paulo's Home Page

	Paulo Pinheiro da Silva is an Assistant Professor in Computer Science at the University of Texas at El Paso. He received both his undergraduate in Mathematics and his M.Sc. degree in computer science from the Federal University of Minas Gerais, Brazil, and his Ph.D. in computer science from Manchester University, UK. Prior to joining UTEP, he spent three and a half years at Stanford University as a postdoctoral fellow in the Knowledge Systems Laboratory, Department of Computer Science.
	Paulo has over 10 years of academic research experience in three countries. Currently he is a co-leader of the Inference Web (IW) project, a collaborative effort between Stanford University and UTEP. IW aims to provide an infrastructure for explaining and trusting answers from heterogeneous Semantic Web agents and services. The infrastructure includes tools, services, and language specifications for storing, exchanging, combining, annotating, abstracting, summarizing, comparing and rendering answer justifications and justification-related metadata provided by reasoners, query answering systems, and web users. The Inference Web is being used as an infrastructure for explanations in a number of DARPA and ARDA projects.
	Paulo also has over 15 years of experience as an IT consultant working for public and private companies in Brazil. He has participated in the design, development, test, deployment and maintenance of numerous mission critical systems. His industrial experience includes the development of methods and tools to facilitate and simplify user tasks when interacting with software systems. In the area of legacy system maintenance, he developed performance analysis methods for assessing the risk of upgrading the systems by adopting new technologies. Working towards the goal of supporting the design of mainstream applications and their user interfaces in integrated, systematic ways, he developed the UMLi language for modeling interactive systems as an extension to UML.
	Paulo's current research focuses on developing principles, methods, and infrastructure enabling explainable and trustable systems.