Rosario A Uceda-Sosa           

Dr. Rosario Uceda-Sosa is one of the leading researchers in semantic information models
in IBM T.J. Watson Research Lab. She has worked in ontologies for domains such as
smart cities, financial services, IT services and assets, insurance, healthcare, computer
vision, conversational systems and tourism, among others.

Her work focuses on the usability of ontologies as the next generation of data source schemas.
In particular, she’s interested in how to produce composable, large ontologies which can be
aligned with relevant standards and can be queried using simple, tag-like query strings.
She has worked on inference engines, query languages and ontology management systems, as well
as produced ontology models currently use in banking and smart cities industrial applications.

She has also led and managed teams working on information systems, business rules,
semantics models and software engineering. In 2008, Dr. Uceda-Sosa led the Global Technology Outlook, a
worldwide IBM strategy process that helps drive IBM's 6 billion dollar investment in R&D. Her industrial
experience includes working as a consultant in software design and usability, modeling and web technologies
for companies like Ford, Chrysler, GM and Kellogg.

She holds a PhD in Computer Science and Engineering, a MS in Mathematics, a MS in Computer Engineering by
the University of Michigan.

Dr. Uceda-Sosa has authored 24 US and global patents and was named senior member of the ACM. Her
work has been published in conferences like AAAI, IJCAI and ER on the subjects of information systems,
ontologies, modeling and usability. She has delivered keynote speeches at AAAI-2014 Semantic Cities and
was the Industry Day Chair for IJCAI-16 and has participated in program committees for conferences like
AAAI, IJCAI and ACM Multimedia.