Research Output per year
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
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- 5 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
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 proceeding › Conference 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, In : Cluster Computing. 20, 3, p. 2031–2046 16 p.Research output: Contribution to journal › Article
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 proceeding › Conference 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 proceeding › Conference 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 proceeding › Conference contribution