The CV

Pdf file available on request

Overview

Chronological history

An interactive map with the relevant steps of my career. Below, the detailed description of each step.

Work Experience

Applied Research in Agri-Tech

  Fondazione Bruno Kessler - FBK
  38123 Trento, Italy   |     Since Feb 2026

Context

Research at the interface of Machine Learning and Agriculture Technology, for better planning agricultural operations.

Responsabilities

I am currently working on the development of a MLOps platform to standardize the modeling and deployment operations at team level.

Keywords: Water Resources Management – Data-Driven Modeling – Precision Agriculture

Industrial Data Analysis Systems Development

  Aquafil Group
  38062 Arco, Italy   |     Apr 2024-Jan 2026

Context

The industrial field is chemical-textile manufacturing.

Responsabilities

• Development, industrialization and maitenance of Data Analytics models
• Creation of user-oriented operational tools
• Research and selection of the best task-centered solution

More details on the Previous Efforts section.

Keywords: Production process efficiency – Data-driven industrial quality control – Machine Learning Modelling and Applications – Chemical-physical processes analysis

Doctorate

  Institut Mines-Télécom Atlantique Bretagne-Pays de la Loire
  29280 Brest, France   |     Nov 2020 - Jan 2024

Domain

Image, Signal and Vision

Institution and research unit

Responsabilities

• Development of multimodal deep learning algorithms to process sea-surface data
• Documentation, dissemination, and valorization of the results of my research
• Curation and submission of scientific articles
• Tutoring and support in teaching activities

Achivements

• Two original journal papers
• One conference proceeding

See the Publications section for details and the Previous Efforts section for an overview of the scientific contributions.

Keywords: Oceanic Big Data Analytics – Hybrid Data-driven and Physics-based Modelling – Geophysical Inverse Problems – Multimodal Data Processing and Information Fusion

Post-graduate Research Fellowship

  Università degli Studi di Padova
  35122 Padova, Italy   |     Jan 2020 - Sep 2020

Project

Computational Modelling of Numerosity Perception

Responsabilities

• Development and testing of a biologically sound deep learning algorithm
• Comparison of the learned sense of numerosity in both our model and human learners
• Results documentation and dissemination

Achivement

• One original journal paper

More details in the Previous Efforts section

Keywords: Numerical Simulation for Neurosciences Modelling – Numerosity Perception – Probabilistic Model-based Deep Learning

Education

MSc in Mathematical Engineering

  Università degli Studi di Padova
  35122 Padova, Italy   |     Oct 2016 - Oct 2019
  Final Grade: 110 / 110

Keywords: Numerical Analysis – Complex Systems – Mathematical Modelling

Achivement: An excerpt of my thesis has been further worked out, as it has been my first co-authored publication. This publication got me the Erdős number 3!

BSc in Environmental Engineering

  Università degli Studi di Trento
  38122 Trento, Italy   |     Sep 2012 - Lug 2016
  Final Grade: 94 / 110

Keywords: Environmental Sciences – Atmosphere, Hydrosphere and Biosphere Interactions

Publications

• Zambra M., Farrugia N., Cazau D., Gensse A., Fablet R., “Multimodal learning–based reconstruction of high-resolution spatial wind speed fields”. Environmental Data Science. 2025;4:e2. DOI: https://doi.org/10.1017/eds.2024.34
• Zambra, M., “Multi-modal AI methods in the context of heterogeneous oceanic observations and multisensor maritime surveillance”, Ph.D. Thesis Dissertation. 2024. Supervised by Fablet, R., Farrugia, N., Cazau, D. Available on HAL open science, https://theses.hal.science/tel-04497858
• Zambra, M., Cazau, D., Farrugia, N., Gensse, A., Pensieri, S., Bozzano, R., Fablet, R., “Learning-Based Temporal Estimation of In-Situ Wind Speed From Underwater Passive Acoustics”. IEEE Journal of Oceanic Engineering, vol. 48, no. 4, pp. 1215-1225, Oct. 2023. DOI: https://doi.org/10.1109/JOE.2023.3288970
• Zambra, M., Cazau, D., Farrugia, N., Gensse, A., Pensieri, S., Bozzano, R., Fablet, R., “Trainable dynamical estimation of above-surface wind speed using underwater passive acoustics”, OCEANS 2023–Limerick, Limerick, Ireland, 2023, pp. 1-6, DOI: https://doi.org/10.1109/OCEANSLimerick52467.2023.10244715
• Zambra, M., Testolin, A. and Zorzi, M., “A Developmental Approach for Training Deep Belief Networks”. Cognitive Computation 15, 103–120, 2023. DOI: https://doi.org/10.1007/s12559-022-10085-5
• Zambra, M., Maritan, A., Testolin, A., “Emergence of Network Motifs in Deep Neural Networks”. Entropy. 2020. 22, 204. DOI: https://doi.org/10.3390/e22020204

Certifications and Licenses

• Training course advanced security on work place: Corso sicurezza lavoratori - Parte specifica rischio alto. 12 hours course covering in-depth contents of D.Lgs. 81/08, attended remotely. Organized and animated by Vega Formazione S.r.l.
• Training course security on work place: Corso di Formazione sulla sicurezza generale D.Lgs. 81/08 smi - Accordo Stato-Regioni 21/12/11. 4-hours lecture attended on 03/06/2020, attended remotely. Organized and animated by Synergie Italia S.p.A.