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Edward Curry

PROF

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My research interests are predominantly in open data-intensive distributed systems, particularly in the areas of incremental data management (e.g. dataspaces), approximation and unstructured events types, with a particular interest in applications for smart environments and data ecosystems. My research work is currently focused on engineering adaptive intelligent systems that are a foundation of smart and ubiquitous computing environments. Specialities: Distributed Systems (Event-based Systems, Stream Processing, Middleware), Data Management (Dataspaces, Linked Data, Semantics, Data Ecosystems), Smart Environments (Water, Energy, Cities).

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Biography

Edward Curry is the Established Professor of Data Science and Director of the Insight SFI Research Centre for Data Analytics and Data Science Institute at the University of Galway. Edward has made substantial contributions to semantic technologies, incremental data management, event processing middleware, software engineering, as well as distributed systems and information systems. He combines strong theoretical results with high-impact practical applications. The excellence and impact of his research have been acknowledged by numerous awards, including best paper awards and the University of Galway Presidents Award for Societal Impact in 2017. His teams technology enables intelligent systems for smart environments in collaboration with several industrial partners. He is organiser and programme co-chair of major international conferences, including CIKM 2020, ECML 2018, IEEE Big Data Congress, and European Big Data Value Forum. Edward is co-founder and elected Vice President of the Big Data Value Association (BDVA) and the AI, Data and Robotics Association (Adra). He has built consensus on a joint European research and innovation agendas and influenced European data and AI innovation policy to deliver on the agendas. He is a member of the Data Architecture amp; Technical Committee of the Irish Government Data Goverance Board.

Research Interests

My research interests are predominantly in open data-intensive distributed systems, particularly in the areas of incremental data management (e.g. dataspaces), approximation and unstructured events types, with a particular interest in applications for smart environments and data ecosystems. Specialities: Distributed Systems (Event-based Systems, Stream Processing, Middleware), Data Management (Dataspaces, Linked Data, Semantics, Data Ecosystems), Smart Environments (Water, Energy, Cities).

Education/Academic qualification

B.Sc., Ph.D.

Accepting PhD Students

  • Accepting PhD Students

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  3. SDG 4 - Quality Education
    SDG 4 Quality Education
  4. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  5. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  6. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  7. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  8. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  9. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  10. SDG 13 - Climate Action
    SDG 13 Climate Action
  11. SDG 15 - Life on Land
    SDG 15 Life on Land
  12. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions
  13. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

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Collaborations and top research areas from the last five years

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  • 14 Contract Researchers
  • 14 Postgraduates Supervised
  • 4 Current Postgraduates (Research) Supervised
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