Francisco Gomez-Donoso
Machine Learning and Artificial Intelligence
COO at AdaptAI
About Me
Hey there! I'm Francisco Gomez-Donoso. I am passionate about artificial intelligence and machine learning. I have been working on deep learning since 2016 and I love to learn more things about this exciting area of expertise.
Currently I am a founder and COO at AdaptAI.
Year of birth
1990
Email
fran@adaptai.es
Languages
English, Español, Valencià
Education
Bachelor of Computer Science from University of Alicante
2011 - 2015
Advanced knowledge about architecture of computers, networking, coding and software creation. Specialized in the computation course with low-level knowledge about compilers and machine learning. Final project about human computer interaction and machine learning, which can be found here.
Masters in Automation and Robotics from University of Alicante
2015 - 2016
Basic and wide knowledge about kinematics, sensors and actuators, and robotic cells. Final project about deep learning and tridimensional object recognition, which can be found here.
PhD in Machine Learning from University of Alicante
2016 - 2020
Contributions to 3D object recognition and 3D hand pose estimation using deep learning techniques. The document of thesis can be found here
Work Experience
Junior Developer at University of Alicante
Nov, 2015 - Jan, 2018
Developing the human-computer interaction module for the project "SIRMAVED: Desarrollo de un sistema integral robótico de monitorización e interacción para personas con daño cerebral adquirido y dependientes."
Researcher on Machine Learning at University of Alicante
Feb, 2016 - Sep, 2020
Research tasks related to object recognition from point clouds using deep learning and human pose estimation from monocular frames using deep learning.
Chief Operating Officer at AdaptAI
Nov, 2020 - Present
Founder and COO. Kickstarting new products for our startup.
Research Scores
Research scores and scientific publications at
Competitive Projects
Desarrollo de un sistema integral robótico de monitorización e interacción para personas con daño cerebral adquirido y dependientes Ministerio de Economía y Competitividad
Jan, 2014 - Jan, 2017. DPI2013-40534-R
Red de Agentes Físicos Ministerio de Economía y Competitividad
2015. TIN2015-71693-REDT
RETOGAR: Retorno al hogar. Sistema de mejora de la autonomía de personas con daño cerebral adquirido y dependientes en su integración en la sociedad Ministerio de Economía y Hacienda
Jan, 2017 - Jan, 2020. TIN2016-76515-R
Lectures on new trends for urban traffic data analysis Ordenación Tráfico de Vehículos
Apr, 2018 - Jun, 2019
Detection of design flaws in webpages NitsNets SL
Nov, 2018 - Aug, 2019
Monitoring and Detection of human behaviors for personalized assistance and early disease detection Ministerio de Ciencia e Innovación
Jun, 2020 - Jun, 2023. PID2019-104818RB-I00
Detection of user's emotions and integration in the "Carro Alado" framework Viessere
Jul, 2020 - Febr, 2021
Other Milestones
Scholarships
Scholarship for predoctoral research position, RoViT Researt Group, University of Alicante. Spain.
Feb, 2017 - Sept, 2020. ACIF/2017/243
Research Internships
Predoctoral Internship at the Australian Centre for Field Robotics, University of Sydney. Australia.
Sep, 2019 - Dec, 2019. Beca BEFPI/2019/03
Contact
Francisco Gomez-Donoso
fran@adaptai.es