Dr Alvaro A. A. Fernandes

[Alvaro A. A. Fernandes: 21 October 2011] Senior Lecturer
Information Management Group
School of Computer Science
The University of Manchester
Oxford Road
Manchester M13 9PL, UK

email a.fernandes(at)manchester.ac.uk
phone +44 (0)161 275 6199
fax +44 (0)161 275 6236
office (Kilburn Building, room 2.36)



Brief Details  |  Research Interests  |  Research Projects  |  Publications (by year) (by topic)  |  Research Students  | Teaching  | Admin  | More Information

Research Interests

My research is centred on advanced information management. My main contributions fall in the area of advanced databases and advanced query processing. My current interests are:
  • Value-Added Data Systems, i.e., data management principles, techniques, methodologies and tools to support, in the context of big data, the complete cycle (from extraction, through semantic integration, to querying) of data provision that is sensitive to the user context and aims to find best-fit solutions in the light of the data context (e.g., quality, provenance, etc.).
  • Databases and Dataspaces, especially query processing and optimization, and query-based techniques for data integration.
    • In the broader context of advanced databases, I am currently interested in the resurgence of massively-parallel approaches to data management, as exemplified by data appliances and by the map/reduce approach to cluster-based computing.
    • In the dataspaces area, I was an active member of a 36-month EPSRC-funded research project on this topic that ran from Jul 2008 to Jun 2011. The particular approach to dataspaces that this project followed is the intensive use of metadata and of user feedback for continuous improvement of semantic judgements thereby maximizing their utility for the purposes of querying dataspaces. The project built a dataspace management system called DSToolkit that, internally, uses model-management operators to bootstrap a dataspace and view-based rewriting to query component resources.

Research Projects

  1. VADA: principles and architecture for value-added data systems (2015-2020, UK EPSRC Programme Grant).
  2. SemsorGrid4Env: applying semantic-grid ideas to allow mash-ups over diverse environmental sensor networks (2008-2011, European Union).
  3. Dataspaces: relying on user feedback to refine and improve the outcome of automated schema matching and schema mapping algorithms (2008-2011, UK EPSRC).
  4. An Infrastructure for Adaptive System Development (EPSRC EP/C537157/1)
  5. DIAS-MC: Design, Implementation and Adaptation of Sensor Networks Through Multi-Dimensional Co-Design (EPSRC EP/C014847/1)
    Local Pages ::: Project Website
  6. OGSA-DAI Two
  8. High-Performance Query Processing for The Grid
  9. MyGrid: Directly Supporting the e-Scientist
  10. Tripod: A Spatio-Temporal Object Database System
  11. ODESSA: An Object-Deductive Spatial System Architecture
  12. ROCK & ROLL: A Deductive and Object-Oriented Database Management System

Research Students

I am gradually reducing my PhD supervision load as of 2015. Note that you should have considered the question of funding your studies beforehand, as, in general, the School of CS in Manchester does not devolve to academics the power to grant studentships of any kind. On all matters regarding doing a PhD in the School of CS, go to Postgraduate Research and take some time to explore.

I currently (jointly) supervise the following PhD students:

  1. (Feb 2016-to date) Lara Mazilu on mapping generation at scale (with Norman Paton).
  2. (Feb 2016-to date) Alex Bogatu on pay-as-you-go data cleaning (with Norman Paton).
  3. (Apr 2013-to date) Fernando Rene Sanchez Serrano on pay-as-you-go integration of linked data (with Norman Paton).
  4. (Sep 2013-to date) Julio Cesar Cortes Rios on active learning approaches to feedback-drive improvement of dataspaces(with Norman Paton).
  5. (Apr 2013-to date) Duhai Alshukaili on integration of linked data search results (with Norman Paton).

I have supervised to completion (mostly jointly) the following PhD students (as well as more than 25 MSc students in the course of my career):

  1. (2016) Fernando Osorno Gutierrez on static generation of effective feedback collection plans for dataspaces (with Norman Paton).
  2. (2015) Klitos Christodoulou on pay-as-you-go data integration over linked open data (with Norman Paton).
  3. (2014) Alan Stokes on autonomic approaches to quality-of-service compliance in wireless sensor network query processing (with Norman Paton).
  4. (2013) Lu Mao on schema mapping for dataspaces (with Norman Paton).
  5. (2011) Chenjuan Guo on schema matching for dataspaces (with Norman Paton).
  6. (2010) Farhana Jabeen on distributed algorithms for spatial operations over sensor networks.
  7. (2010) Ixent Galpin on QoS-aware sensor-network query optimization (with Norman Paton).
  8. (2009) Christian Brenninkmeijer on a formally-defined sensor-network query language with empirically-validated analytical cost models (with Norman Paton).
  9. (2009) Kwanchai Eurviriyanukul on adaptive query processing (with Norman Paton).
  10. (2005) Veruska Aragão on service-oriented mediators.
  11. (2005) Ane Tröger on an in-silico experiment language over heterogeneous, autonomous, distributed scientific resources.
  12. (2004) Marcelo Aragão on combining induction and deduction for knowledge management in a logic programming setting.
  13. (2004) Seung-Hyun Jeong on efficient algorithms for spatio-temporal query processing (with Norman Paton).
  14. (2003) M. Akhtar Ali on a comprehensive solution to incrementally maintaining materialized OQL views (with Norman Paton).
  15. (2000) James Ohene-Dhan on personalizable hyperlink-based systems


The courses I'm often teaching are:
  • (Year 1) Fundamentals of Distributed Systems
  • (Year 2) Fundamentals of Databases
  • (Masters) Querying Data on the Web

Unfortunately, the University's policy is that all the information about my teaching is only visible to the students taking the courses.


The admin responsibilities I currently have are:
  • Being PhD Tutor within the Research School.
  • Helping to run the Mentoring Scheme for the department's research students. (The mentors webpage is full of useful information for research students.)

More Information

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