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Riccardo Filomena

Riccardo Filomena

Chief of Engine and Powertrain division - Formula SAE Salento Racing Team

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location of Riccardo FilomenaModena, Emilia-Romagna, Italy

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  • Timeline

  • About me

    Senior Data Engineer Consultant | AI & Data Science Enthusiast | Process Automation & SW Development | Continuous Learner

  • Education

    • Università del Salento

      -
      Bachelor's degree Mechanical Engineering

      Activities and Societies: Salento Racing Team Thesis: "Analysis and Numerical Optimization of Four-Stroke Engine 4 Cylinders for Formula SAE Competition".Advisors: Prof. Ing. D. Laforgia, Ing. P. CarlucciAbstract: The purpose of the thesis was to estimate a 4-stroke engine fuel consumption by data acquired via telemetry on board of a Formula SAE vehicle. An algorithm written in the Matlab language allowed to simulate the fuel consumption of the ECU (Engine Control Unit). The injection time (µs), cycle by cycle, was obtained… Show more Thesis: "Analysis and Numerical Optimization of Four-Stroke Engine 4 Cylinders for Formula SAE Competition".Advisors: Prof. Ing. D. Laforgia, Ing. P. CarlucciAbstract: The purpose of the thesis was to estimate a 4-stroke engine fuel consumption by data acquired via telemetry on board of a Formula SAE vehicle. An algorithm written in the Matlab language allowed to simulate the fuel consumption of the ECU (Engine Control Unit). The injection time (µs), cycle by cycle, was obtained by interpolating data from the sample of engine revolutions per minute and the throttle opening angle. It has been also implemented a consumption reduction strategy based on ARDUINO UNO. Single-board microcontroller detected when the driver releases the accelerator pedal and cuts the injection bypassing the ECU. Show less

    • Technical University of Cluj Napoca

      2018 - 2018
      Internship Electric Powertrain Simulation

    • Università del Salento

      -
      Master's degree Mechanical Engineering

      Activities and Societies: Internship at Technical University of Cluj-Napoca Thesis: "A Neural Network for Real Time Forecast of Diesel Engine Emissions".Advisors: Ing. T. DonateoAbstract: A Neural Network model based on the interpolation of the time-histories of driving conditions (speed, altitude, ambient temperature, humidity and pressure) and emissions measured on a diesel start-and-stop vehicle while performing a series of RDE tests. Two different approaches are proposed. The first one calculates the emissions on the basis of the vehicle motion… Show more Thesis: "A Neural Network for Real Time Forecast of Diesel Engine Emissions".Advisors: Ing. T. DonateoAbstract: A Neural Network model based on the interpolation of the time-histories of driving conditions (speed, altitude, ambient temperature, humidity and pressure) and emissions measured on a diesel start-and-stop vehicle while performing a series of RDE tests. Two different approaches are proposed. The first one calculates the emissions on the basis of the vehicle motion (speed and altitude profile, ambient conditions). The second one models the engine block using as input the ambient conditions, the load and the rpm of the engine derived from the OBD-II scanner. The output of both models are the flow rates and cumulated values of CO2 and NOx. Show less

  • Experience

    • Salento Racing Team

      Sept 2009 - Sept 2012
      Chief of Engine and Powertrain division - Formula SAE Salento Racing Team

      Developed Matlab algorythm for analisys and optimization of fuel consumption. Implementation of a system based on ARDUINO to bypass ECU in order to cut injection when necessary (Cut-off strategy). Experience in vehicle testing. Developed skills like resilience, team work, stress management and leadeship during meeting and many challenging situations.International Competitions:- Formula Student Spain 2011, 2012 (Montmelò);- Formula Student Italy 2011 (Varano de’ Melegari);- Formula Student England 2012 (Silverstone). Show less

    • GREEN SRL

      Jan 2014 - Jan 2015
      CAD Designer

      Modelled parametric CAD of a wind turbine ruled by SolidWorks Equation Tool to manage surfaces easily and in a most robust way. In addiction to that if system dimensions change there is no need to rebuild a new CAD saving a lot of time. Developed Matlab algorithm to calculate surfaces (from SolidWorks coordinates) and to optimize blade geometry in order to achieve specific target.

    • Technical University of Cluj-Napoca

      Mar 2018 - Jul 2018
      Internship – Electric Powertrain Simulation

      Developed a model of the electric bus ”Solaris Urbino 12” on AVL Cruise environment. The main goal has been to evaluate the electrical vehicle with the task to establish a methodology related to the thermal management of the battery pack using also Matlab/Simulink.

    • HPE COXA

      Sept 2020 - Feb 2022

      Machine learning algorithm design for quality control systems and industry 4.0:• Python coding, IoT research, signal analysis (numpy, scipy)• ML algorithms for improvement, tool wear monitoring (drift-detection)• Vibration-based bearing fault detection, anomaly detection (PCA, SVM)• Feature engineering, dataframe manipulation (pandas)• Data visualization, GUI development (Matplotlib, Seaborn, Plotly)Thesis Tutorship. Research and technological development in Artificial Intelligence topic:• Data acquisition by IoT devices for mechanical test;• Frequency domain analysis of signals;• Thesis Tutorship

      • R&D engineer and Data Scientist

        Mar 2021 - Feb 2022

      • Artificial Intelligence Intern

        Sept 2020 - Feb 2021

    • Manz AG

      Apr 2022 - Sept 2024

      Project coordinator for Data Ecosystem development, overseeing data collection, storage, and system analysis.Developed software solutions for digitalization, optimizing processes, and efficiency, including:• Real-time machine OEE calculation system (OPCUA, Python, InfluxDB, and Grafana).• High-frequency data acquisition system for process data analysis (MQTT Broker, Python, and InfluxDB).• Web app-based remote machine data backup system (Streamlit, Python, and MQTT Broker). Working on the IPCEI/EUBatin project for Future Battery Technology dept.:• Technical AI expert for battery manufacturing, driving innovation and improving machine OEE.• Developed Python automation algorithms for data merging and reporting, significantly increasing productivity.• Collaborated closely with internal and external interfaces to ensure effective communication and solution development.

      • Digitalization Engineer

        Apr 2023 - Sept 2024

      • AI Software Developer

        Apr 2022 - Mar 2023

    • Ammagamma

      Oct 2024 - now
      Senior Data & ML Engineer

  • Licenses & Certifications

    • ChatGPT Prompt Engineering for Developers

      DeepLearning.AI
      May 2023
      View certificate certificate

    • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

      Coursera
      Aug 2022
      View certificate certificate

    • Sequence Models

      Coursera
      Jul 2022
      View certificate certificate

    • Deep Learning Specialization

      Coursera
      Oct 2022
      View certificate certificate

    • Convolutional Neural Networks

      Coursera
      Oct 2022
      View certificate certificate

    • Structuring Machine Learning Projects

      Coursera
      Sept 2022
      View certificate certificate

    • Neural Networks and Deep Learning

      Coursera
      Jun 2022
      View certificate certificate

    • Matlab/Simulink

      Udemy
      Nov 2021
      View certificate certificate

    • PRODUZIONE MECCANICA NET&GREEN INTERMEDIO - Programmazione PLC

      FORMart
      May 2022

    • Statistics and AI for signal and data analysis

      Alma Mater Studiorum – Università di Bologna
      Oct 2021