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株式会社Rist / Factory Automation Equipment Engineer / PL
I graduated cum laude with a master’s degree in Computer Science Engineering for Intelligent Systems at University of Palermo, Italy, presenting a Thesis in Robotics on Design and Implementation of Modules for the Extraction of Biometric Parameters in an Augmented BCI Framework.
The UniPA BCI Framework is an augmented framework based on the P300 paradigm and allows a user to select individual actions to be performed by a robot or, in the more classic configuration, to spell a sequence of symbols. The framework takes advantage of additional developed modules, which perform the acquisition of eye gaze coordinates and biometric signals. The use of such modules allows to achieve a combined response which does not only take in account the response of a traditional BCI system based on the P300 paradigm, but it also considers useful information, such as the user visual focus and her level of engagement with the system, providing a more robust and effective global response.
I am interested in growing professionally in the areas of AI related to ML/DL, and Robotics. More in general, I have always been interested in the interaction between humans and machines, whether that would be interacting with a software or a physical robotic agent, IoT or
ビジョンソリューション・FA機器・エンジニア/PL
Deep Inspection・アプリ開発エンジニア/PL
プロダクトチーム・新規事業開発・開発エンジニア/PL
Deep Robotics・開発エンジニア/PL
開発チーム・開発エンジニア • Robot design, control, motion, perception and manipulation. • Image analysis, recognition and classification. • AI algorithms design and implementation. • UI/UX design and implementation.
Thesis in Robotics on Design and Implementation of Modules for the Extraction of Biometric Parameters in an Augmented BCI Framework.
Thesis in Artificial Intelligence / Latent Semantic Analysis on an Intelligent Interrogation System on official documents of the European Parliament.
DicomReader is a simple Java DICOM files reader and it has been developed as part of the Volumetric Bias Correction paperwork. DicomReader handles headers as well as images contained in the Dicom files: Data (headers and pixel-value images) is saved into ascii plain text files; A pgm version of the image files is provided as an option for the user.
LSA-Bot is a new, powerful kind of Chat-bot focused on Latent Semantic Analysis. Using LSA it is possible to relate words to their vectorial representation, permitting to realize an intelligent chat-bot that can understand human language and can answer to natural language questions as well.
University of Palermo / Bachelor's of Computer Science Engineering
LSA-Bot is a new, powerful kind of Chat-bot focused on Latent Semantic Analysis. Using LSA it is possible to relate words to their vectorial representation, permitting to realize an intelligent chat-bot that can understand human language and can answer to natural language questions as well.
