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Alessio Petrozziello

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Alessio Petrozziello
Born
🏳️ NationalityItalian
🏳️ CitizenshipItalian
🎓 Alma materUniversity of Portsmouth
💼 Occupation
Known forMachine Learning, Recommender Systems
🏅 Awards13th Annual "Humies" Awards for Human-Competitive Results Produced by Genetic and Evolutionary Computation, The young scientist award by The Italian Cultural Society of Washington D.C.,

Alessio Petrozziello is an Italian computer scientist and data scientist. Since 2019, he has been an Honorary Senior Research Fellow at University College London (UCL)[1] and since 2017 he has been at Expedia London, where he is currently a Data Science Team Lead.

He was one of the co-founder of the Geoinformatics and Earth Observation Laboratory at Penn State University.[2] Petrozziello received: the young scientist award by The Italian Cultural Society of Washington D.C. in 2014 [3] and the 13th Annual "Humies" Awards for Human-Competitive Results Produced by Genetic and Evolutionary Computation (Bronze Award) in 2016. [4]

Petrozziello studied computer science at Università degli Studi di Salerno, Salerno between 2011 and 2014.[5] He has previously worked at the Penn State University (2014) where he co-founded the Geoinformatics and Earth Observation Laboratory,[2] University of Portsmouth (2015-19), and University of Oxford (2018).[6]

Alessio Petrozziello has published many academic papers, especially in the area of machine learning,[7] with 220 citations (in 2020) according to Google Scholar. He has contributed particularly in the areas of search based software engineering and recommender systems.

Conference Publications[edit]

  • F. Sarro, A. Petrozziello, D.-Q. He, S. Yoo "A New Approach to Distribute MOEA Pareto Front Computation", in Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO’20 Companion).
  • A. Petrozziello and I. Jordanov, "Automated Deep Learning for Threat Detection in Luggage from X-ray Images". Special Event on Analysis of Experimental Algorithms (SEA 2019).
  • A. Petrozziello and I. Jordanov, "Feature Based Multivariate Data Imputation". The 4th Annual Conference on machine Learning, Optimization and Data science (LOD 2018).
  • A. Petrozziello, I. Jordanov, A.T. Papageorghiou, C.W.G. Redman, and A. Georgieva, "Deep Learning for Continuous Electronic Fetal Monitoring in Labor", IEEE 40th International Engineering in Medicine and Biology Conference (EMBC 2018).
  • A. Petrozziello, C. Sommeregger and I. Jordanov, "Distributed Neural Networks for Missing Big Data Imputation", IEEE International Joint Conference on Neural Networks (IJCNN 2018).
  • A. Petrozziello and I. Jordanov, "Column-wise Guided Data Imputation", 17th International Conference on Computational Science (ICCS 2017).
  • A. Petrozziello and I. Jordanov "Data Analytics for Online Traveling Recommendation System: A Case Study", IASTED's 36th International Conference on Modelling, Identification and Control (MIC 2017).
  • I. Jordanov, N. Petrov and A. Petrozziello, "Supervised Radar Signal Classification", IEEE International Joint Conference on Neural Networks (IJCNN 2016).
  • F. Sarro, A. Petrozziello and M. Harman, "Multi-Objective Effort Estimation", ACM 38th International Conference on Software Engineering (ICSE 2016).

Journal Publications[edit]

  • F. Sarro, R. Moussa, A. Petrozziello and M. Harman, "Learning From Mistakes: Machine Learning Enhanced Human Expert Effort Estimates", IEEE Transactions on Software Engineering (2020).
  • A. Petrozziello, I. Jordanov, A.T. Papageorghiou, C.W.G. Redman, and A. Georgieva, "Multimodal Convolutional Neural Networks to detect fetal compromise during labor and delivery", IEEE Access (2019).
  • A. Petrozziello and F. Sarro, "Linear Programming as a Baseline for Software Effort Estimation", ACM Transactions on Software Engineering and Methodology (2018).
  • I. Jordanov, N. Petrov and A. Petrozziello, "Classifiers accuracy improvement based on missing data imputation", Journal of Artificial Intelligence and Soft Computing Research (2018).
  • A. Petrozziello, G. Cervone, P. Franzese, S.E. Haupt, R. Cerulli, "Source Reconstruction of Atmospheric Releases with Limited Meteorological Observations Using Genetic Algorithms", Applied Artificial Intelligence Journal (2017).

References[edit]

  1. Alessio Petrozziello home page, University College London, UK
  2. 2.0 2.1 "Geoinformatics and Earth Observation Laboratory (GEOlab)". US: Penn State University. Retrieved 18 Feb 2021.
  3. "Alessio Petrozziello - Young Scientist Award". Retrieved 2021-02-18.
  4. "Alessio Petrozziello - Humies Award". Retrieved 2021-02-18.
  5. Alessio Petrozziello, LinkedIn.
  6. Oxford Centre for Fetal Monitoring Technologies Page University Of Oxford, UK.
  7. Alessio Petrozziello's publications

External links[edit]

References[edit]


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