Fabio Maresca

Experience

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  University of Naples Federico II

  Mar 2020 - Oct 2020

  Trainee

  In collaboration with Accenture Italy and Palo Alto Networks:• Developed tools for Accenture using Python, Elasticsearch, Kibana, and full-stack development technologies.• Completed 550 hours of interactive courses and workshops on computer networking, cybersecurity, IoT, cloud computing.

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  NEC Laboratories Europe GmbH

  Feb 2021 - Jan 2025

  • Proposed, prototyped, and validated: ◦ An AI-driven framework for vehicle behavior classification (achieving 80% accuracy in video-based classification, 93% accuracy on numerical features) and future state prediction. Published at ICRA 2024 in collaboration with Amazon. ◦ An AI-based localization algorithm for robotics monitoring routines, achieving an average target localization error within 2 meters. ◦ An RF-localization method for SLAM-based target discovery, reducing operation time by 50% when accessing targets in worst-case positioning scenarios.• Led 6G and ISAC-related deliverables for the MSCA European project 5GSmartFact (Grant Agreements No. 956670), overseeing contributions from multiple PhD researchers and ensuring alignment with project goals.• Granted two patents on weakly supervised learning, and served as a technical expert in patent idea defenses for other teams. Show less

  • PhD Researcher - Marie Skłodowska-Curie Actions (MSCA)

    Jan 2022 - Jan 2025

  • Research Intern - Master Thesis Student

    Feb 2021 - Dec 2021
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  Universitat Politècnica de Catalunya

  Nov 2022 - now

  PHD Candidate

  Topics: applied machine learning, autonomous systems, localization.Supervisors: Dr. Josep Paradells, Dr. Xavier Costa-Pérez.Abroad workshops and summer schools:• Université Paris-Saclay (Paris, France), Apr 2022: "Emerging and future communication networks technologies, architectures, and tools"• Aalborg University (Aalborg, Denmark), Oct 2023: "Wireless communication for industry 4.0"

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  I2CAT

  Mar 2023 - Aug 2023

  Visiting R&D engineer

  Developed algorithms for collaborative mobile autonomous robots, implementing high-density obstacles avoidance and increasing map coverage by 10%. The achievements resulted in a paper accepted at ICRA 2025.