Students XL Cycle

March 2024: Master Degree (cum laude) in Electronic Engineering, Università di Bologna. Thesis title: Compressed Sensing con Memorie a Cambiamento di Fase per Monitoraggio di Vibrazioni Strutturali.  Experience: May 2024 - October 2024, research fellow at the Advanced Research Center on Electronic Systems "Ercole De Castro" (ARCES), with focus on "Signal Processing for Smart Structures". Research Interests include: Analog In-Memory Computing, Signal Processing, Compressed Sensing, Modal Analysis. Technical skills include C, MATLAB and Python.

February 2024 – October 2024: Occasional work contract at the Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi," University of Bologna. Project: “Multivariate Analysis for Infrared and Raman Spectral Sensors,” focusing on the study of Infrared spectroscopy (in the NIR and MIR ranges) and Raman. This phase is essential in the development of a non-invasive real-time lactate monitoring system for ECMO patients, leveraging NIR and Raman spectroscopy combined with machine learning to enhance clinical management and reduce complication risks. February 2024: Master’s Degree in Biomedical Engineering from the University of Bologna. Thesis Title: ‘Machine Learning Techniques for the Analysis of Biochemical Data.’ Topic: analysis of biological compounds, including lactate, glucose, and blood composition, utilizing machine learning to create predictive models. October 2021: Bachelor’s Degree in Biomedical Engineering from the University of Bologna. Particular Interests: Sensor technology, Infrared and Raman spectroscopy, artificial organs, and machine learning. Technical Skills: Matlab, PLS Toolbox (developed by EigenVector), machine learning (particularly PLS, PCA, SIMCA algorithms), Infrared spectroscopy and Raman spectroscopy.

I received a Master's degree (summa cum laude) in Computer Science from the University of Bologna, Italy, in 2023. Title of the thesis: "Classificazione e rilevamento del danno in sistemi di monitoraggio strutturale mediante tecniche di machine learning", coordinated by Professor Marco Di Felice and Professor Alessandro Marzani. I worked from February 2024 to October 2024 as a research fellow in the I-TROPHYTS PRIN 2022 project, which involves the design and development of IoT data analytics solutions for monitoring motor activity in tele-rehabilitation scenarios, focusing on the development and validation of IoT and AI solutions to support robotic tele-rehabilitation systems. My current research interests include AI and deep learning, data analytics for structural monitoring and smart health, IoT and edge computing.

December 2023 - October 2024: Research Fellow at the University of Bologna, Department of Civil, Chemical, Environmental and Materials Engineering (DICAM). Research project: "Green technologies to support urban adaptation and mitigation strategies in the context of climate change". During this experience I majored in an interesting and current topic, studying deeply the state of the art of the European and Italian landscape, but also designing practical cases, participating in several congresses and conferences around the world, and sharing my knowledge through educational projects with students and workers.  March 2023 - September 2023: Job experience as HSE Engineer at Imola Legno S.p.A.  September 2020 - February 2023: Master degree in earth Resources Engineering, Climate Change Adaptation Curriculum, at the University of Bologna. Final dissertation title: "Nature-Based Solutions for Urban Heat Island effect mitigation: the case study of Isla, Malta". The main purpose of the thesis was to compare different areas within the same small locality by collecting meteorological data, such as temperature, humidity and wind speed, and to propose feasible Nature-Based Solutions for urban implementation. The study was carried out as part of my 6-months internship in Malta, during which I worked at an environmental sustainability consulting company as researcher.   September 2016 - July 2020: Bachelor degree in Environmental Engineering at the University of Bologna. Final dissertation title: "Natura e gestione dell'amianto nell'ottica di una demolizione selettiva sostenibile".   Research Interests: Green Technologies, Nature-Based Solutions for climate change mitigation and adaptation, Urban Planning, monitoring green solutions' performance and efficiency.

Master’s degree in Environmental Engineering – Earth Resources Engineering from University of Bologna, 2023, grade 110 with honors, thesis in large-sample assessment of hydrological modeling performance & transient climate impacts: a comparative analysis of three lumped conceptual models in 114 Australian basins using open bid datasets" with Prof. E. Toth. M.Sc in Water Resources Management and Engineering from Sharif University of Technology, 2014 B.Sc in Civil Engineering from Iran University of Science and Technology, 2012. Professional experiences for 6 years in water supply infrastructure design and execution, and collaboration with SAIPEM on international oil and gas projects, focusing on offshore seabed pipeline design and risk assessment, along with the development of engineering analysis software. Leveraging various programming languages (Python, MATLAB, and R), and skilled in engineering software packages such as AutoCAD, SGeMS, EPANET, SWMM, and QGIS/ArcGIS. His research interests include hydrological and hydraulic modeling, hydrological time-series analysis and predictions, water resource management, hydrological extremes, water distribution systems, the impacts of climate change on water systems, and the application of machine learning and deep learning methods in water resources management. His current research is conducted within a collaborative framework involving the University of Bologna (DICAM) and the Institute of Geo-Hydrological Protection (IRPI) of the National Research Council (CNR) in Perugia. Utilizing data from NASA’s Surface Water and Ocean Topography (SWOT) mission and other open databases, the project explores critical interactions between rivers and coastal water bodies, particularly as climate change accelerates the occurrence of extreme events like floods and droughts. By improving the accuracy and reliability of satellite-based hydrological data, this study will enhance the ability of policymakers and water resource managers to predict and mitigate climate-related risks. The project will also involve global and regional hydrological assessments using both remote-sensed and in-situ data.

I obtained my master's degree in geography and spatial processes in march 2024 with a grade of 110 cum laude with a thesis titled “Volcano monitoring and geomatics detection methods: Mount melbourne Fumarolic Ice cave survay”.My path was characterized by a strong focus on scientific subjects pertaining to geography, leading me to develop a strong interest in earth observation research.To do so, it was necessary to develop skills in geospatial data management, python coding, and familiarity with the main machine learning algorithms.

Since 2013, Technology Teacher and Senior IT Consultant involved in Business Intelligence and AI projects, large-scale integrated systems and enterprise application development/integration 2009-2012, Technical staff Employee at University of Salento in service at the (CCII) Innovative Business Culture Center as technical manager responsible for research projects and training. 2008, Collaboration with OMG (Object Management Group) as reviewer of the SBVR 1.0 specification (Object Management Group, “Semantics of Business Vocabulary and Rules Formal Specification v1.0”) 2003-2009, Research fellow at University of Salento involved in national, FP6 IPs, FP7 research projects in the fields of Natural Language Processing, Business Intelligence, Machine Learning, Language Modelling. Adjunct Professor at University of Salento, teaching "CRM and Business Intelligence Laboratory", "e-Business Models and Architectures" and "Knowledge Management Tools" at the Master Degree Course in Management Engineering. 2002, Degree in Information Engineering, University of Bologna

March 2024: Master’s degree in Electronic Engineering at University of Bologna (UniBo). Thesis Title: " Statistical analysis of activations to determine the confidence level of a Neural Network". Advisor: Prof. Mauro Mangia. Co-advisors: Livia Manovi, Alex Marchioni, Riccardo Rovatti.   May 2024 - September 2024: Research grant at the research centre CIRI ICT. His main activities are related to the monitoring of the decision-making process of a DNN and the implementation of reliable countermeasures against adversarial attacks.   His main interests include working on techniques that allow to understand how AI systems reach their conclusions, making them more reliable, trustworthy and explainable.

2024: Master's Degree in Electronics Engineering for intelligent systems, big data and IoT. Thesis: 'Study and realisation of an Energy-Autonomous WSN for acceleration monitoring based on nano drones' Sup.s Prof. Federica Zonzini, Prof. Matteo Zauli, Prof. Luca De Marchi.  Jan '22 - June '22: Internship Abroad, VTT Technical Research Centre of Finland, Oulu Topic: Agriculture drones simulation environment, vehicle to base communication, cloud based situational awareness.  2020: Bachelor's Degree in Electronics and Telecommunication Engineering. Thesis: 'LoRaWAN - Design of a water level monitoring pole', Sup. Prof. R. Verdone.

Master thesis title: “Acquisizione compressa mediante Compressed Sensing: studio del supporto Ottimo per segnali non perfettamente sparsi e dell’impatto sulla individuazione di istanze anomale”

September 2018 – October 2021: Bachelor degree in Civil and Environmental Engineering at University of Ferrara October 2021 – March 2024: Master degree in Civil Engineering – curriculum infrastructure design in river basin at University of Bologna September 2023 – December 2023: research for the thesis abroad with the Hydrology and Climate group at the University of Zurich Master thesis: Analysis of the large-sample hydrological data set Caravan and its performance in rainfall-runoff modelling Interests: rainfall-runoff models, large-scale hydrology and datasets, prediction in ungauged basins, model parameters regionalization