Salvatore La Bua

株式会社Rist / Robotics/AI Engineer

京都市

Salvatore La Bua

株式会社Rist / Robotics/AI Engineer

京都市

Salvatore La Bua

株式会社Rist / Robotics/AI Engineer

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AI, ML, DL and Robotics

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.

UniPA 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.

In the future

Ambition

In the future

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

Feb 2020
-
Present

Robotics/AI Engineer
Present

Feb 2020 -

Present

• Robotics team, responsible for Robotics R&D. • Robot design, control, motion, perception and manipulation. • Image analysis, recognition and classification. • AI algorithms design and implementation. • UI/UX design and implementation.

Mar 2017

University of Palermo

Master's of Computer Science Engineering for Intelligent Systems

Mar 2017

Thesis in Robotics on Design and Implementation of Modules for the Extraction of Biometric Parameters in an Augmented BCI Framework.

Volumetric Bias Correction

Mar 2007

LSA-Bot

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.

DicomReader

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.

Bachelor's of Computer Science Engineering

Thesis in Artificial Intelligence / Latent Semantic Analysis on an Intelligent Interrogation System on official documents of the European Parliament.


Skills and qualities

Algorithm

0

C++

0

Python

0

Java

0

Git

0

Publications

Volumetric Bias Correction

Mar 2007

Accomplishments/Portfolio

UniPA BCI Framework

DicomReader

LSA-Bot

Awards and Certifications

Certificate of Completion: Power Searching with Google - Google

July 2012

Certificate of Accomplishment with Highest Distinction: Introduction to Computer Science: Building a Search Engine - Udacity CS101

Apr 2012

Certificate of Accomplishment with Highest Distinction: Programming a Robotic Car - Udacity CS373

Apr 2012

Statement of Accomplishment: Introduction to Artificial Intelligence - Udacity CS271

Dec 2011

Statement of Accomplishment: Introduction to Databases - Coursera

Dec 2011

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Languages

Italian - Native, English - Native, Japanese - Conversational