.

Alina Patelli

Alina Patelli photo

Email
patellia@aston.ac.uk

Room number
MB275

Profile

I joined Aston University as a PhD student in January 2012. Before that, I obtained my first PhD degree, in Systems Engineering, from the Department of Automatic Control and Applied Informatics, at the “Gheorghe Asachi” Technical University of Iasi, Romania. I got my BSc in Applied Science at the same university, in 2008.

I spent 6 semesters (during and after the completion of my first PhD) combining research with teaching – I have been a laboratory demonstrator at my Alma Mater in fields such as real time programming, software projects management and systems theory.

During my last three years as an undergraduate student, I worked as a junior software developer with Fastpath Logic Inc., a small company specialised in providing support for parsing and translating hardware descriptive languages. This experience has added a practical side to my professional background, one that I found most useful in providing my research with immediate applicability in solving realistic problems.

Qualifications & Education

  • BSc with First Class Honours in Applied Sciences, “Gheorghe Asachi” Technical University, Iasi, Romania, 2008

  • PhD in Systems Engineering, “Gheorghe Asachi” Technical University, Iasi, Romania, 2011

Employment

  • October 2008 – December 2011: TA in Real Time Programming, Software Projects Management and System Theory, Department of Automatic Control and Applied Informatics, “Gheorghe Asachi” Technical University, Iasi, Romania.

  • March 2006 – October 2008: Junior Software Developer, Fastpath Logic Inc, Iasi, Romania.

Research Interests

Ontology based autonomic systems, evolutionary computation, descriptive logic frameworks

Selected publications

Articles:

Patelli A. and L. Ferariu (2010). Elite Based Multiobjective Genetic Programming in Nonlinear Systems Identification. Advances in Electrical and Computer Engineering, vol 10(1), pp. 94-99, ISSN 1582-7445, e-ISSN 1844-7600

Papers:

Patelli A. and L. Ferariu (2011). A Regressive Schema Theory based Tool for GP Evolved Nonlinear Models. Proceedings of the 17th International Conference on Automation and Computing, Huddersfield, UK, pp. 215-220, ISBN 978-1-86218-098-7.

Patelli A. and L. Ferariu (2010). Elitist Multiobjective Nonlinear Systems Identification with Insular Evolution and Diversity Preservation. Proc. of 2010 IEEE World Congress on Computational Intelligence - Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, pp. 2076-2081, ISBN 978-1-4244-6910-9, IEEE catalog no. CFP10ICE-DVD.

Patelli A. and L. Ferariu (2010). Increasing Crossover Operator Efficiency in Multiobjective Nonlinear Systems Identification. Proc. of 2010 IEEE International Conference on Intelligence Systems, London, UK, pp. 426-431, ISBN 978-1-4244-5164-7, IEEE catalog no. CFP10802-CDR.

Patelli A. and L. Ferariu (2010). Genetic Programming Based Tools for Nonlinear Systems Identification. Doctoral Consortium of 2010 IEEE International Conference on Networking, Sensing and Control, Chicago, IL, USA, http://www.ele.uri.edu/faculty/he/icnscdc/DoctoralProgarm-Final.pdf.

Patelli A. and L. Ferariu (2009). Nonlinear Systems Identifications by Means of Genetic Programming. Proc. of European Control Conference, Budapest, Hungary, pp. 502-507, ISBN 978-963-311-369-1.

Ferariu L. and A. Patelli (2009). Migration-Based Multiobjective Genetic Programming for Nonlinear System Identification. Proc. of SACI 2009 5th International Symposium on Applied Computational Intelligence and Informatics, Timisoara, Romania, pp. 475-480, ISBN 978-1-4244-4478-6, IEEE catalog no. CFP0945C-CDR.

Book chapters:

Ferariu L. and A.Patelli (2012). Genetic Programming for System Identification. Formal and Practical Aspects of Autonomic Computing and Networking: Specification, Development and Verification, ed. P. Cong-Vinh, pp. 135-168, IGI Global, doi:10.4018/978-1-60960-845-3.

Patelli A. and L. Ferariu (2011). Regressor Survival Rate Estimation for Enhanced Crossover Configuration. Adaptive and Natural Computing Algorithms, Lecture Notes in Computer Science, vol. 6593, pp. 290-300, Springer Heidelberg, ISSN 0302-0743.

Ferariu L. and A. Patelli (2009). Multiobjective Genetic Programming for Nonlinear System Identification. Adaptive and Natural Computing Algorithms, Lecture Notes on Computer Science, vol. 5495, pp. 233-242, Springer Berlin/Heidleberg, ISSN 0302-9743 (print) 1611-3349 (online).

 

Employable Graduates; Exploitable Research