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Background,
Profile, Research interests
I am a Lecturer in the Department of Computing. I have a
background in Mathematics and Computer Science; in particular I
hold an MSc degree in Mathematics and Computer Science from
"Al.I.Cuza"
University of Iasi
(dissertation in Statistical Computing),
and a PhD in Computer Science from University
of Paris-Sud (work performed in the Database Research Group
of LRI Computer
Science Research Laboratory, dissertation in Deductive
Databases with Uncertainty).
I am interested in the following Research Areas
where I tackle various themes strongly related to Soft
Computing: Knowledge bases and Databases with imperfect
information (in particular in:
Imperfect information integration; Rule based reasoning
under uncertainty, incompleteness and inconsistency in the
context of multivalued logics given by bilattices; Query
optimisation for efficient imperfect information retrieval),
Computational logic (Multivalued and Fuzzy logics),
Knowledge discovery in databases, Data mining and Machine
learning (Clustering/ Segmentation), Computational
statistics (Statistical techniques in data mining, and
formerly in Statistical protection for statistical
databases). Here are a description of current
research and a list of selected
publications.
Complementary Applied and Interdisciplinary Research
Interests concern various problems and applications directly
related to the above areas. With a technical expertise in
relational databases, statistical computing, segmentation,
classification, estimation, prediction and association analysis,
and in major technologies as IBM SPSS Modeler / Clementine, IBM
SPSS Statistics, SAS Enterprise Miner, R, RapidMiner, and Weka
machine learning suite, I have a particular interest in applied
research based on employing data mining (including SQL manual
data mining, and very large dataset mining), machine learning,
and statistical techniques in KDD, Text Mining, Web Mining and
Web 2, Social Web Mining, Social Sciences Digital Research
Methods, Medical and Pharmaceutical sectors, and Business
Intelligence (credit scoring, financial forecasting, fraud
detection, churn / defection analysis).
Awards:
Marie Curie Research Fellowship
Administratively, currently I am the International
Liaison Officer for Computing, the Examination Officer, and the
coordinator of the Work Placement Programme for Computing at
Goldsmiths, University of London.
Current or recent external roles: Member of the
Editorial Board of the Journal
of Multiple-Valued Logic and Soft Computing; Member of the
Programme Committee of SYNASC - the International Symposium on
Symbolic and Numeric Algorithms for Scientific Computing;
Invited speaker at SIEMENS's Doctoral
Intensive Summer School on Meta-heuristics in Optimisation and
Intelligent Data Analysis, and Evolutionary Computing in
Optimisation and Data Mining (Iasi 2011); External examiner
for MSc programmes in Computer Science at University of
Westminster (2007-2011).
Before joining the Computing Department at
Goldsmiths I held research&teaching positions in the
Department of Computer Science at "Al.I.Cuza"
University of Iasi and in LRI Computer Science Research
Laboratory of University of Paris-Sud during the PhD work, and
of Marie Curie Research Fellow in the Department of Computer
Science at Birkbeck College - University of London (single
recipient research grant), and of Research Fellow in LRI at
University of Paris-Sud.
PhD
supervision
Applicants for a PhD interested in
the research areas mentioned above are welcome to contact me for
more information.
Teaching
and student entries
Digital
Research Methods: Computational Statistics and Data Mining,
MA/MSc Digital Sociology at CAST
:: Link
to the module online material
Digital
Research Methods: Statistical Data Mining, MA/MSc Digital
Journalism & MA/MSc Creating Social Media at CAST
:: Link
to the module online material
CIS338:
Data Mining, BSc & MSci Computing
CIS320:
Undergraduate final year projects, BSc Computing
IS52027A:
Databases, Networks and the Web, BSc Computing
Former courses:
CIS225:
Database Systems
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