Head of Innovation

• Sep 2021 - Present

R&D Manager

• May 2017 - Sep 2021

Research, Analysis, Design, Development and Implementation of methodologies in the field of Augmented Reality and Advanced Intelligent Systems, such as: AR algorithms, Computer Vision, S.L.A.M., Localization, Object Modeling, Recognition, Classification and Tracking. These tasks are accomplished with Machine Learning techniques (Neural Networks, Deep Learning, etc.). Activities: Analysis, creation and development of: - Augmented Reality algorithms for Industry (Smart Assistance systems, Object identification, Advanced Information Management and Visualization, etc.); - Object Detection, Tracking and Classification (using RGB Cameras and Depth Sensors) procedures; - S.L.A.M. systems (with Monocular Cameras and IMU Sensors); - Scene Mapping and 3D Object Reconstruction processes; - A.I. methodologies and Deep Learning algorithms for Scene understanding and contextual information retrieval in order to provide useful data. - Projective AR (Spatial AR) applications - Optical Character Recognition (OCR) and Handwritten OCR - Scene recognition Study of: - Artificial Intelligence techniques applied to Object Recognition and Classification problems (Computer Vision, Neural Networks, Convolutional Neural Networks, Reinforcement Learning, Deep Q-Networks, Deep Learning Techniques). These results are deployed on different AR platforms: - Google TANGO devices - Microsoft Hololens - Microsoft Hololens 2 - Tablets - Smartphones - Smart Glasses - Projector AR frameworks: - Mixed Reality Toolkit - ARCore - ARKit - Unity 3D - ARFoundation Show less

Data Fusion Expert - Innovation Technology

• Jan 2016 - May 2017

Research, Analysis, Design, Development and Implementation of methodologies in the field of Artificial Intelligence and Advanced Robotics for Autonomous Car Driving, such as: Navigation algorithms, Path Planning and Following in dynamic domains, and a Study of different techniques for developing Decision Making Systems and Objects Recognition through Neural Networks and Deep Learning methodologies. Design and Development of Robotics Middleware Architectures. Activities: Analysis, creation and development of: - Adaptive Path Planning algorithms (ACC, Parking maneuvers, Navigation, Highway driving, Overtaking maneuvers, Traffic Jam control, etc.); - Path Following algorithms; - Obstacle Detection, Tracking and Avoidance algorithms (using Radar and Lidar sensors); Study of: - Artificial Intelligence techniques applied to Object Recognition, Path Planning and Decision Making problems ((Neural Networks, Convolutional Neural Networks, Reinforcement Learning, Deep Q-Networks, Deep Learning Techniques). Show less

Application Engineer - R&D Unmanned Vehicles

• 2009 - Dec 2015

Research, Analysis, Design, Development and Implementation of all technologies and methodologies in the field of Computer Vision, Artificial Intelligence and Advanced Robotics (especially for Autonomous Drivingand Home Automation), such as: Navigation algorithms for Tactical Ground Vehicles, Object Tracking in 3D environments applied to neurosurgery, Decision Support Systems for anomaly detection tasks, Sensor Fusion applied to Localizationand 3D Reconstruction, Feature Detection and Description for Object Recognition in warehouse environments, Path Planning and Following in dynamic domainswith humanpresence. Job Description: Project Leader & Technical Coordinator on different projects operated with multisite resources allocation. See the attached Projects List with details on each project content. Analysis, creation and development of: - Visual Odometry algorithms (using monocular or stereo-camera sensors); - Object Detection and Localization (using RGB or RGB-D(epth) camera sensors) algorithms; - Localization algorithms; - Pattern Recognition (marker/TAG) algorithms (using RGB camera sensor); - Decision Making algorithms for mobile robots; - Laser Odometry algorithms (using Laser Range Finder sensor); - Adaptive Path Planning algorithms; - Path Following algorithms - Obstacle Detection and Avoidance algorithms (using Laser Range Finder sensor or RGB-D(epth) camera sensors); - Face Recognition algorithms (using RGB camera sensor); - Object Tracking (using monocular or multi-camera sensors); - Sensor Data Fusion (using Laser Range Finder sensors, camera sensors, IMU sensors and encoders) - Artificial Intelligence (Neural Networks, Convolutional Neural Networks) applied to Object Recognition and Localization in images; - Optimization algorithms (Particle Swarm Optimization, Genetic Algorithms) applied to parameter estimation problems Show less

Research Scientist

• Mar 2005 - Jul 2009

Teaching Assistant

• Mar 2005 - Mar 2009

Teacher Assistant in the courses of:- Computer Architecture- Robotics- Computer VisionTutor in the courses of:- Computer Architecture- Robotics- Computer Vision- Industrial InformaticsCo-AdvisedMaster’s Degree StudentsCo-Advised Bachelor’s Degree Students My Activities: Teaching, Course management, Preparation and Distribution of educational materials

Software Developer

• Mar 2002 - Aug 2002