Fernando Gonzalez-Herrera

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MSc - Software Engineering
BSc - Mechatronic

View the Project on GitHub jfernandoghe/fernandogonzalez.github.io

About Me

Contact info

Personal email: jfernandoghe @ gmail.com
Academic email: gonzalezherrera @ unistra.fr
Academic email: gonzalezherrera @ kuleuven.be
Repository: www.github.com/jfernandoghe
ResearchGate: jfernandoghe
ORCID: 0000-0003-2312-2724
LinkedIn: www.linkedin.com/jfernandoghe

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Education

-UNISTRA - KU Leuven 2020-2023 (Dual joint PhD program) – Project: “Automatic endoscope repositioning with respect to the surgical task”
Equipe Automatique Vision et Robotique (AVR) - ICube at UNISTRA as the hosting institution; under the supervision of Prof. Michel de Mathelin (Benoit Rosa & Florent Nageotte)
Robot - Assisted Surgery Group, KU Leuven as the secondary host; under the supervision of Prof. Joris De Schutter (Emmanuel Vander Poorten & Gianni Borghesan)

-University of Glasgow April-August 2019 (Multimodal Interaction Group) – Algorithm design and development
Project: “Data analysis of sensor (accelerometer, giroscope and eye tracking) to measure cognitive load using robust metrics for different tasks” - Use of Python for development of a technique to processes raw sensor data and es-timate cognitive load using 4 metrics. Data cleaning, outlier detection and principal component analysis was applied.
Tutor: Stephen Brewsterstephen.brewster@glasgow.ac.uk

-Center of Mathematical Research (CIMAT) 2017-2019 (Human Centered Computing Lab) – MSc Software Engineering
Thesis: “Eye Tracker Calibration Models and Robust Comparison of Scanpaths” - Use of Python and MATLAB to answer problems related human-computer/robot in-teraction via machine learning, statistical inference, model selection techniques, stochastic models, bio-inspired algorithms, heuristics.
Tutor: Carlos Lara-Alvarezcarlos.lara@cimat.mx

-National Polytechnic Institute (IPN) 2010-2015 (Robotics & intelligent systems) – BSc Mechatronics
Thesis: “Design and implementation of a smart band prototype for the gestural recognition and mouse emulation using artificial vision, adaptable to different smart environments” - Robotics, algorithm design and IoT hardware; while aiding design and simulationthrough computers programs. Basic control and neural networks development; both incomputers and embedded environments.
Tutor: Ricardo Perez-Alcocerrrperez@citedi.mx

Publications