Man

Daniel Antonio Suarez Klenner

Director

Alborada IT Software

Almeria, España

Líneas de Investigación


Machine Learning, Recommendation System, Artificial Intelligence, Big Data, Cloud Computing, Digital Transformation, and Computing applied to the industry.

Educación

  •  Ingenieria en Ciencias Computacionales, UNIVERSIDAD DE ALMERIA. España, 2010
  •  Tecnicas Computacionales Avanzadas, UNIVERSIDAD DE ALMERIA. Chile, 2012
  •  Computer Science, UNIVERSIDAD DE ALMERIA. Chile, 2019
  •  Teaching Certificate, Trinity College of London. Reino Unido, 2006

Experiencia Académica

  •   Investigador pre doctoral Full Time

    UNIVERSIDAD DE ALMERIA

    Informatica

    Almeria, España

    2009 - 2019

  •   Investigador Post Doctoral Part Time

    UNIVERSIDAD DE EXTREMADURA

    Ingenieria

    Almeria, España

    2019 - A la fecha

  •   Profesor Asociado Part Time

    UNIVERSIDAD DE LA RIOJA

    Ingenieria

    Almeria, España

    2020 - A la fecha

Experiencia Profesional

  •   Director Part Time

    Ingenieros Alborada IDI

    España

    2008 - A la fecha

  •   Experto Judicial en Ciencias de la Computacion Other

    Ministerio de Justicia

    Chile

    2018 - A la fecha

  •   PROJECT MANAGER Other

    NOVATEQ

    España

    2008 - 2009

  •   NETWORK ENGINEER Other

    STERNCOM

    Chile

    2008 - 2008

  •   CONSULTOR Other

    CADIA INGENIERIA

    Chile

    2007 - 2008

Premios y Distinciones

  •   FPI Grant. Ministry of Science, Innovation and Universities. Spanish Government

    MINISTERIO DE CIENCIA Y TECNOLOGIA

    España, 2015

    Research Grants

  •   Torres Quevedo Grant

    MINISTERIO DE CIENCIA Y TECNOLOGIA

    España, 2011

    RESEARCH Grant

  •   Andalucía Joven 2013” Award

    GOBIERNO DE ANDALUCIA

    España, 2013

    Andalucía Joven 2013” Award


 

Article (9)

A hybrid multidimensional Recommender System for radio programs
CompareML: A Novel Approach to Supporting Preliminary Data Analysis Decision Making
A Real-Life Machine Learning Experience for Predicting University Dropout at Different Stages Using Academic Data
Towards the use of Data Engineering, Advanced Visualization techniques and Association Rules to support knowledge discovery for public policies
A model-driven engineering approach for the service integration of IoT systems
Creating a Recommender System to Support Higher Education Students in the Subject Enrollment Decision
A microservice-based architecture for enhancing the user experience in cross-device distributed mashup UIs with multiple forms of interaction
A recommender system for component-based applications using machine learning techniques
A flexible data acquisition system for storing the interactions on mashup user interfaces

Proyecto (10)

EmployML: Applying Machine Learning for Discovering Relationships in Education and Employment Trajectories
SIVAE. Sistema Inteligente Virtual de Apoyo Emocional en la Parentalidad
Diseño de Servicios de Interconexión e Interoperabilidad para la comunicación de desarrollos Software empresariales
Estudio y desarrollo de un sistema web de información geográfica
Servicios de interconexión con proveedores de servicios de Machine Learning
Study of a holistic approach for the interoperability and coexistence of dynamic systems: Implication in Smart Cities models
Evolving dynamic systems in the cloud: A framework toward the smart user interfaces
Development of an intelligence Web agent of environmental information
A methodology for the retrieval and exploitation of environmental information through evolutive and cooperative user interfaces
TDTrader: A methodology for the interoperability of DTT-Web services based on MHP-COTS software components, repositories and trading models
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Daniel Suarez

Director

Ingenieria

Alborada IT Software

Almeria, España