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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

Model Learning with Personalized Interpretability Estimation (ML-PIE)

High-stakes applications require AI-generated models to be interpretable. Current algorithms for the synthesis of potentially …

2D-VSR-Sim: a Simulation Tool for the Optimization of 2-D Voxel-based Soft Robots

Voxel-based soft robots (VSRs) are robots composed of many small, cubic blocks of a soft material with mechanical properties similar to …

Communication in Decision Making: Competition favors Inequality

We consider a multi-agent system in which the individual goal is to collect resources, but where the amount of collected resources …

Design, Validation, and Case Studies of 2D-VSR-Sim, an Optimization-friendly Simulator of 2-D Voxel-based Soft Robots

Voxel-based soft robots (VSRs) are aggregations of soft blocks whose design is amenable to optimization. We here present a software, …

Evolution of Distributed Neural Controllers for Voxel-based Soft Robots

Voxel-based soft robots (VSRs) are aggregations of elastic, cubic blocks that have sparkled the interest of Robotics and Artificial …

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