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Andrea De Lorenzo

Associate Professor of Computer Engineering

University of Trieste

Biography

Andrea De Lorenzo is associate professor at the University of Trieste. His research interests include evolutionary computation, application of machine learning techniques to engineering, computer security problems, information extraction and natural language processing.

He won the silver medal at the 13th Human-Competitive Awards, 2016, for Human-Competitive Results produced by Genetic and Evolutionary Computation. He serves as reviewers for many international journals closely related to his research interests; he is a member of the scientific/program committee of the most important conferences on evolutionary computation.

He authored and co-authored more than 40 peer-reviewed articles on international journals or conferences, with more than 20 coauthors. According to Google Scholar, his h-index is 15 and his works received more than 700 citations in the last 5 years (November 2022).

Interests

  • Artificial Intelligence
  • Computer Security
  • Genetic Programming
  • Information Retrieval

Education

  • PhD in Information Engineering, 2014

    University of Trieste

  • MEng in Computer Engineering, 2010

    University of Trieste

  • BSc in Computer Engineering, 2006

    University of Trieste

Recent Publications

Enhancing Large Language Models-Based Code Generation by Leveraging Genetic Improvement

In recent years, the rapid advances in neural networks for Natural Language Processing (NLP) have led to the development of Large …

An analysis of the ingredients for learning interpretable symbolic regression models with human-in-the-loop and genetic programming

Interpretability is a critical aspect to ensure a fair and responsible use of machine learning (ML) in high-stakes applications. …

Discovering Non-Linear Boolean Functions by Evolving Walsh Transforms with Genetic Programming

Stream ciphers usually rely on highly secure Boolean functions to ensure safe communication within unsafe channels. However, …

Evolution of Walsh Transforms with genetic programming

The design of Boolean functions which exhibit high-quality cryptography properties is a crucial aspect when implementing secure stream …

Examining the Role of Incentives in Scholarly Publishing with Multi-Agent Reinforcement Learning

Scientific research plays a crucial role in advancing human civilization, thanks to the efforts of a multitude of individual actors. …

Contact

  • +39 040 558 3419
  • Via Alfonso Valerio, 10, Trieste, TS 34100
  • Enter building C2, take the stairs to building C3, office C3_2.54 on floor 2
  • Monday 10:00 to 13:00Wednesday 09:00 to 10:00