• School of Engineering and Applied Science, Aston University

    B4 7ET Birmingham

    United Kingdom

20152019
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Personal profile

Research Interests

I specialise in evolutionary computation, specifically, genetic programming and its applications in smart cities, with a focus on traffic modelling and prediction. My interests also include autonomic, knowledge-based systems as well as self-adaptation and self-organisation in computing.

Teaching Activity

Java Program Construction (CS2300)

Computational Intelligence (CS4720)

Responsibilities

Digital & Technology Solutions Degree Apprenticeship Programme Director

Employment

August 2018 - present: Lecturer in Computer Science (Institute of Coding)

May 2018 - August 2018: Postdoctoral Research Fellow (ERDF Think Beyond Data)

March 2017 - December 2018: Research Associate (EXCELL - Excellence in Smart Cyber-Physical Systems)

August 2015 - May 2018: Teaching Fellow (Foundations of Technology Solutions Boot-camp - Digital & Technology Solutions Degree Apprenticeship)

August 2014 - August 2015: Programming Support Officer (EAS - Computer Science, Aston University)

Contact Details

Email: a.patelli2@aston.ac.uk

Room number: MB265E

Education/Academic qualification

PhD

PG Cert

PhD

Keywords

  • Q Science (General)
  • evolutionary computation
  • intelligent knowledge based systems
  • smart cities

Fingerprint Dive into the research topics where Alina Patelli is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 6 Similar Profiles
Aviators Engineering & Materials Science
Managers Engineering & Materials Science
Highway accidents Engineering & Materials Science
Genetic programming Engineering & Materials Science
Evolutionary algorithms Engineering & Materials Science
Information management Engineering & Materials Science
Data mining Engineering & Materials Science
Multi agent systems Engineering & Materials Science

Research Output 2015 2019

  • 4 Conference contribution
  • 1 Article

Disobedience as a mechanism of change

Burth Kurka, D., Pitt, J., Lewis, P. R., Patelli, A. & Ekart, A., 15 Jan 2019, Proceedings - 12th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2018. IEEE, Vol. 2018-September. p. 1-10 10 p. 8613714. ( 2018 IEEE 12th International Conference on Self-Adaptive and Self-Organizing Systems (SASO)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multi agent systems
Iron
Specifications
Monitoring
Experiments

An architecture for the autonomic curation of crowdsourced knowledge

Patelli, A., Lewis, P. R., Ekárt, A., Wang, H., Nabney, I. T., Bennett, D., Lucas, R. & Cole, A., 1 Sep 2017, 20, 3, p. 2031–2046 16 p.

Research output: Contribution to journalArticle

Open Access
File
Aviators
Brain
Managers
Semantics

Gaining insights into road traffic data through genetic improvement

Ekárt, A., Patelli, A., Lush, V. & Ilie-Zudor, E., 15 Jul 2017, GECCO '17: proceedings of the Genetic and Evolutionary Computation Conference. New York, NY (US): ACM, p. 1511-1512 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Highway accidents
Data mining

Autonomic curation of crowdsourced knowledge: the case of career data management

Patelli, A., Lewis, P. R., Wang, H., Nabney, I., Bennett, D., Lucas, R. & Coles, A., 8 Dec 2016, Proceedings : 2016 International Conference on Cloud and Autonomic Computing: co-located with the Tenth IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2016), ICCAC 2016. IEEE, p. 40-49 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Information management
Managers
Aviators
Ontology
Processing

Two-B or not two-B? Design patterns for hybrid metaheuristics

Patelli, A., Bencomo, N., Ekart, A., Goldingay, H. & Lewis, P., 11 Jul 2015, GECCO Companion '15 : proceedings of the companion publication of the 2015 annual conference on Genetic and Evolutionary Computation. Silva, S. (ed.). New York, NY (US): ACM, p. 1269-1274 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution