A B C D E F G H I J K L M N O P Q R S T U V W X Y Z all

Member

Alba Morales TiradoMember status icon

Research Associate
Alba Morales Tirado Photograph

Telephone Icon +44 (0)1908 654678

Email Icon Website Icon Camera Icon RDF Icon

Twitter Icon SlideShare Icon

Alba Morales is a postdoctoral researcher at the Knowledge Media Institute at the Open University. Her current research activities are linked to the Polifonia European Project, being the leader of the MEETUPS Pilot and investigating hybrid methods for the generation of Knowledge Graphs.

She completed her PhD in the fall of 2022, entitled "Health Condition Evolution for Effective Use of Electronic Records: Knowledge Representation, Acquisition, and Reasoning”. Her research set out to improve how data can be used to support Smart Cities services. During her research work, she studied how to support the identification of relevant health information about people involved in an emergency, such as a fire evacuation. During her PhD, Alba designed the "Health Condition Evolution Ontology (HECON)" and extended the SNOMED concept taxonomy to incorporate information of health event evolution. Furthermore, she designed a "methodology for generating a Knowledge Graph of health condition evolution" from natural language resources, combined with a human-in-the-loop workflow. She then applied "the knowledge graph for reasoning on health condition evolution" for detecting vulnerable people in emergency settings. Finally, an end-to-end demonstrator, "the Condition Evolution Radar (CONRAD)", shows how such methods can effectively support decision-making in an emergency scenario.

Alba's previous experience includes working in public and private sectors as an Information Security Specialist for several years, specialised in auditing Industrial Control Systems. She has a master's degree in Information Security and Audit from the University of Greenwich.

Team: Jason Carvalho, Enrico Daga, Enrico Motta

News

19 Oct 2023


19 Oct 2023


19 Oct 2023


19 Oct 2023


02 Jun 2023

View all Articles

View By

Research Themes

Latest Seminar
Dr. Sin Lindley
Microsoft Research Cambridge

Actions and their Consequences: Implicit Interactions with Machine Learned Knowledge Bases

More Details

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team