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Topfrank22/README.md

Hi there, I'm Francesco Cardone 👋

Mechanical & Industrial Data Science Engineer

Process Optimization · Applied Machine Learning · Data-Driven Modeling

LinkedIn Email M.Sc. Fellowship

🎯 Focus & Areas of Interest

  • Process Optimization & Modeling: Developing physics informed and data-driven methodologies to optimize complex industrial and manufacturing systems.
  • Bayesian Methods & Uncertainty: Active learning, Gaussian processes, and distribution free conformal prediction for robust decision-making under uncertainty.
  • Applied Machine Learning & Control: Reinforcement learning, time-series forecasting, and computer vision for autonomous control and in situ monitoring.

🛠️ Technical Skills

Domain Tools & Technologies
Programming Languages Python, MATLAB, R
Machine Learning & AI PyTorch, Scikit-Learn, Conformal Prediction, Time-Series Analysis, Random Forest, Neural Networks
Data Science & Statistics Pandas, NumPy, Bayesian Statistics, Design of Experiments (DoE), Data Visualization
Engineering & Simulation Simulink, CFD Simulation Analysis, OpenCV (Computer Vision), IoT Sensor Processing

🚀 Featured Engineering Projects

Project Domain & Stack Highlights & Outcomes
🔬 Thermal Monitoring for AM Python · OpenCV · Scikit-Learn · Conformal Prediction In situ infrared video monitoring during FFF 3D printing. Implements Conformal Prediction for anomaly detection, ROI PCA modeling ($R^2 = 0.78$), and computer vision deflection tracking during bending tests.
🌌 SLM Spatter & Spatial Statistics R · Python · OpenCV · Functional Data Analysis In situ video image analysis of spattering dynamics in Selective Laser Melting (SLM). Combines computer vision segmentation, Ripley's K-function, MANOVA, PCA/QDA quality classification, and Functional Data Analysis (FPCA).
🦾 Compliant Robot Arm Control Python · PyTorch · Scikit-Optimize · DDPG Coupled 2-DoF mass spring damper arm exploiting dynamic resonance. Combines Bayesian Optimization (chirp sweep) with DDPG and energy based reward shaping to reach out of reach targets.
📦 Parcel Singulation via RL MATLAB · Reinforcement Learning Toolbox · Simulink Decentralized PPO agent on a 5×5 Actuator Matrix System (AMS). Employs multi-parcel curriculum learning (2 to 10 parcels) and inertia transfer learning to singulate parcels at 100% accuracy.

Pinned Loading

  1. bayesian-optimization-and-reinforcement-learning-for-robotic-control bayesian-optimization-and-reinforcement-learning-for-robotic-control Public

    Dynamic control of a compliant base robotic arm to reach out of reach targets using Bayesian Optimization for chirp tuning and Deep Reinforcement Learning with energy reward shaping and curriculum …

    Python

  2. reinforcement-learning-multi-actuator-control reinforcement-learning-multi-actuator-control Public

    Autonomous parcel singulation on a 5×5 AMS grid using PPO Reinforcement Learning, adaptive curriculum, and motor inertia transfer in MATLAB.

    MATLAB

  3. thermal-monitoring-and-predictive-modelling-additive-manufacturing thermal-monitoring-and-predictive-modelling-additive-manufacturing Public

    In situ thermal video monitoring and computer vision for additive manufacturing: nozzle tracking, thermal anomaly detection via Conformal Prediction, parametric ROI analysis with PCA, and mechanica…

    Jupyter Notebook

  4. spatter-image-analysis-and-functional-statistics-metal-additive-manufacturing spatter-image-analysis-and-functional-statistics-metal-additive-manufacturing Public

    In situ video image analysis of spattering in Selective Laser Melting (SLM) metal 3D printing: computer vision segmentation, spatial Ripley K-function, MANOVA, PCA/QDA defect classification, and Fu…

    R