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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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
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
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
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
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