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My research was centred on advanced information
management. My main contributions have fallen in the area of
advanced databases and advanced query processing.
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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 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.
-
Data Management of Streams and Sensor
Networks, especially query processing and
optimization that reconcile different objective
functions, and query-based techniques for data
integration.
- Between Oct 2005 and Sep 2008, in an
EPSRC-funded research project, called DIAS-MC,
I was active in developing a sensor network
query processing infrastructure, called SNEE,
that is distinctive in construing a sensor
network as, strictly, a distributed computing
platform. Thus, SNEE query plans are fragmented
and executed in specific nodes in a truly
distribued manner. Routing and scheduling take
place at the level of query fragments. SNEE
generates code for a target sensor network
software layer (currently, nesC/TinyOS).
- A follow-on, 36-month EU-funded research
project, called SemsorGrid4Env, ran from Sep
2008 to Aug 2011. The main focus was on
enabling the construal of sensor networks in
environmental monitoring as fully-fledged data
resources amenable to high-level, view-based,
semantic integration, thereby allowing rapid
developement techniques (e.g., mash-ups) to
draw data from sensor networks inn emergency
response scenarios.
-
Adaptive/Autonomic Systems,
especially in query processing and in workflow
management.
- I have been an active team member in two
EPSRC-funded projects whose goal has been to
investigate principled ways of developing
generic adaptive systems technology in the
areas of query processing and workflow
execution.
-
VADA:
Principles and Architecture for Value-Added Data Systems
(2015-2020, UK EPSRC Programme Grant).
-
SemsorGrid4Env:
applying semantic-grid ideas to allow mash-ups
over diverse environmental sensor networks
(2008-2011, European Union).
-
Dataspaces: relying on user feedback to refine
and improve the outcome of automated schema
matching and schema mapping algorithms
(2008-2011, UK EPSRC).
- An Infrastructure for Adaptive System Development
(EPSRC EP/C537157/1)
- DIAS-MC: Design, Implementation and Adaptation of
Sensor Networks Through Multi-Dimensional Co-Design
(EPSRC EP/C014847/1)
-
OGSA-DAI Two
-
OGSA-DAI
-
High-Performance Query Processing for The
Grid
-
MyGrid: Directly Supporting the
e-Scientist
- Tripod: A Spatio-Temporal Object Database System
- ODESSA: An Object-Deductive Spatial System
Architecture
- ROCK & ROLL: A Deductive and Object-Oriented
Database Management System
I have supervised to completion (mostly jointly) the following
PhD students (as well as close to 30 MSc
students in the course
of my career):
- (2019) Lara Mazilu on
mapping generation at scale (with Norman Paton).
- (2019) Alex Bogatu on
dataset discovery in data lakes (with Norman Paton).
- (2018) Fernando Rene Sanchez Serrano on
pay-as-you-go integration of linked data (with Norman Paton).
- (2018) Julio Cesar Cortes Rios on
active learning approaches to feedback-drive
improvement of dataspaces(with Norman Paton).
- (2017) Duhai Alshukaili on
integration of linked data search results (with Norman Paton).
- (2016) Fernando Osorno Gutierrez on
static generation of effective feedback collection plans for dataspaces (with Norman Paton).
- (2015) Klitos
Christodoulou on pay-as-you-go data integration
over linked open data (with Norman Paton).
- (2014) Alan Stokes
on autonomic approaches to quality-of-service
compliance in wireless sensor network query
processing (with Norman Paton).
- (2013) Lu Mao on schema
mapping for dataspaces (with Norman Paton).
- (2011) Chenjuan Guo on schema matching for dataspaces
(with Norman Paton).
- (2010) Farhana Jabeen on distributed algorithms
for spatial operations over sensor networks.
- (2010) Ixent Galpin
on QoS-aware sensor-network query optimization (with
Norman Paton).
- (2009) Christian
Brenninkmeijer on a formally-defined
sensor-network query language with
empirically-validated analytical cost models (with
Norman Paton).
- (2009) Kwanchai
Eurviriyanukul on adaptive query processing (with
Norman Paton).
- (2005) Veruska Aragão on service-oriented
mediators.
- (2005) Ane Tröger on an in-silico experiment
language over heterogeneous, autonomous, distributed
scientific resources.
- (2004) Marcelo Aragão on combining
induction and deduction for knowledge management in a
logic programming setting.
- (2004) Seung-Hyun Jeong on efficient algorithms
for spatio-temporal query processing (with Norman
Paton).
- (2003) M. Akhtar Ali on a comprehensive
solution to incrementally maintaining materialized
OQL views (with Norman Paton).
- (2000) James Ohene-Dhan on personalizable
hyperlink-based systems
Teaching
The courses I used to teach more often were:
- (Year 1) Fundamentals of Distributed Systems
- (Year 2) Fundamentals of Databases
- (Masters) Querying Data on the Web
The admin responsibilities I used to have
were:
- Being PhD Tutor within the Research
School.
- Helping to run the Mentoring Scheme for the
department's research students.
- Running the annual Research Student's Symposium<
- Interviewing PhD students from progression.
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