Schubert Carvalho, PhD
Director, AI Science at BEN- Claim this Profile
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English Full professional proficiency
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French Professional working proficiency
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Portuguese Native or bilingual proficiency
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Bio
Melina Alberio
I've worked with Schubert for one year on an innovative project at ITV-DS Research Lab, and in this project, he has led the team to deliver an application used to identify plant species using Image Recognition. Schubert coordinated people with different skills and knowledge in Machine Learning, Software Engineering, User Experience and also integrated the team into a multidisciplinary project to evaluate the application during its development. Schubert had a good relationship with the team and the other researchers from the Lab and provided me with an excellent opportunity to improve my skills while working in this interesting applied research project.
Melina Alberio
I've worked with Schubert for one year on an innovative project at ITV-DS Research Lab, and in this project, he has led the team to deliver an application used to identify plant species using Image Recognition. Schubert coordinated people with different skills and knowledge in Machine Learning, Software Engineering, User Experience and also integrated the team into a multidisciplinary project to evaluate the application during its development. Schubert had a good relationship with the team and the other researchers from the Lab and provided me with an excellent opportunity to improve my skills while working in this interesting applied research project.
Melina Alberio
I've worked with Schubert for one year on an innovative project at ITV-DS Research Lab, and in this project, he has led the team to deliver an application used to identify plant species using Image Recognition. Schubert coordinated people with different skills and knowledge in Machine Learning, Software Engineering, User Experience and also integrated the team into a multidisciplinary project to evaluate the application during its development. Schubert had a good relationship with the team and the other researchers from the Lab and provided me with an excellent opportunity to improve my skills while working in this interesting applied research project.
Melina Alberio
I've worked with Schubert for one year on an innovative project at ITV-DS Research Lab, and in this project, he has led the team to deliver an application used to identify plant species using Image Recognition. Schubert coordinated people with different skills and knowledge in Machine Learning, Software Engineering, User Experience and also integrated the team into a multidisciplinary project to evaluate the application during its development. Schubert had a good relationship with the team and the other researchers from the Lab and provided me with an excellent opportunity to improve my skills while working in this interesting applied research project.
Credentials
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Innovation Master Class
UdemyJan, 2023- Nov, 2024 -
Become a Product Manager
UdemyJan, 2023- Nov, 2024 -
Machine Learning Data Lifecycle in Production
Coursera Course CertificatesMar, 2022- Nov, 2024 -
Introduction to Machine Learning in Production
Coursera Course CertificatesJan, 2022- Nov, 2024 -
Deep Learning Specialization
Coursera Course CertificatesJun, 2019- Nov, 2024 -
Sequence Models
Coursera Course CertificatesJun, 2019- Nov, 2024 -
Convolutional Neural Networks
Coursera Course CertificatesApr, 2019- Nov, 2024 -
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Coursera Course CertificatesApr, 2019- Nov, 2024 -
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera Course CertificatesMar, 2019- Nov, 2024 -
Structuring Machine Learning Projects
Coursera Course CertificatesMar, 2019- Nov, 2024 -
Neural Networks and Deep Learning
Coursera Course CertificatesFeb, 2019- Nov, 2024 -
Strategic Thinking
LinkedInNov, 2018- Nov, 2024
Experience
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BENlabs
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United States
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Technology, Information and Media
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300 - 400 Employee
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Director, AI Science
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Mar 2022 - Present
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Senior Data Scientist
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Sep 2019 - Present
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Vale Institute of Technology
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Brazil
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Deep Learning Research Scientist
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Apr 2012 - Sep 2019
• Worked closely with research and engineering teams and customers to understand and formulate the problem space, leading to the development of experimental protocols aiming to acquire data and to train deep learning algorithms to validate > 10 product solutions. • Developed deep learning algorithms to classify human action/ behavior from brain data (EEG time-series), as a result, training protocols were improved and annual mining production increased > 1 million tons. • Led… Show more • Worked closely with research and engineering teams and customers to understand and formulate the problem space, leading to the development of experimental protocols aiming to acquire data and to train deep learning algorithms to validate > 10 product solutions. • Developed deep learning algorithms to classify human action/ behavior from brain data (EEG time-series), as a result, training protocols were improved and annual mining production increased > 1 million tons. • Led 6+ small team (8 people) of software engineers, machine learning scientists and UX that developed sophisticated deep learning algorithms and automated complex human tasks; as a result, the team and I built 3 embedded software systems and the execution of processes reduced from days to hours. • Carried out project plans on time, performed 20+ presentation for engineers, stakeholders and 5+ at conferences. • Led innovative research independently and in collaboration with internal groups, national and international universities, to solve complex problems, as demonstrated by 1 patent and 8+ publications. • Developing deep learning algorithms for predicting mining productivity and human skills to recommend the best people to the correct job task, as a result, increase safety and productivity at work. Show less • Worked closely with research and engineering teams and customers to understand and formulate the problem space, leading to the development of experimental protocols aiming to acquire data and to train deep learning algorithms to validate > 10 product solutions. • Developed deep learning algorithms to classify human action/ behavior from brain data (EEG time-series), as a result, training protocols were improved and annual mining production increased > 1 million tons. • Led… Show more • Worked closely with research and engineering teams and customers to understand and formulate the problem space, leading to the development of experimental protocols aiming to acquire data and to train deep learning algorithms to validate > 10 product solutions. • Developed deep learning algorithms to classify human action/ behavior from brain data (EEG time-series), as a result, training protocols were improved and annual mining production increased > 1 million tons. • Led 6+ small team (8 people) of software engineers, machine learning scientists and UX that developed sophisticated deep learning algorithms and automated complex human tasks; as a result, the team and I built 3 embedded software systems and the execution of processes reduced from days to hours. • Carried out project plans on time, performed 20+ presentation for engineers, stakeholders and 5+ at conferences. • Led innovative research independently and in collaboration with internal groups, national and international universities, to solve complex problems, as demonstrated by 1 patent and 8+ publications. • Developing deep learning algorithms for predicting mining productivity and human skills to recommend the best people to the correct job task, as a result, increase safety and productivity at work. Show less
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EPFL (École polytechnique fédérale de Lausanne)
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Switzerland
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Higher Education
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700 & Above Employee
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Visiting Researcher Scientist
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May 2014 - Nov 2014
• Successfully engaged one graduate student and the lab director in a six months project that involved the integration of a motion-capture system and a brain neuroheadset, to build a brain-computer interface system for medical studies while keeping up with tight deadlines; as a result, new deep learning algorithm were developed as demonstrated by 1 publication. • Developed an experimental protocol to acquire preliminary data, performed statistical data analysis and presented scientific… Show more • Successfully engaged one graduate student and the lab director in a six months project that involved the integration of a motion-capture system and a brain neuroheadset, to build a brain-computer interface system for medical studies while keeping up with tight deadlines; as a result, new deep learning algorithm were developed as demonstrated by 1 publication. • Developed an experimental protocol to acquire preliminary data, performed statistical data analysis and presented scientific findings and results in 1 conference. Show less • Successfully engaged one graduate student and the lab director in a six months project that involved the integration of a motion-capture system and a brain neuroheadset, to build a brain-computer interface system for medical studies while keeping up with tight deadlines; as a result, new deep learning algorithm were developed as demonstrated by 1 publication. • Developed an experimental protocol to acquire preliminary data, performed statistical data analysis and presented scientific… Show more • Successfully engaged one graduate student and the lab director in a six months project that involved the integration of a motion-capture system and a brain neuroheadset, to build a brain-computer interface system for medical studies while keeping up with tight deadlines; as a result, new deep learning algorithm were developed as demonstrated by 1 publication. • Developed an experimental protocol to acquire preliminary data, performed statistical data analysis and presented scientific findings and results in 1 conference. Show less
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Queen's University
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Canada
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Higher Education
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700 & Above Employee
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Postdoctoral Associate
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Oct 2010 - Sep 2011
• Demonstrated strong problem solving and analytical skills by formulating the impact of stochastic noise in multimodal perception, and conducted multivariate and hypothesis tests, resulting in 1 publication. • Demonstrated ability to learn complex neuroscience concepts to the accomplishment of the work in less than 6 months. • Helped to develop 1 theoretical model of how the brain integrates vision and proprioception in the presence of noise distributions. • Demonstrated strong problem solving and analytical skills by formulating the impact of stochastic noise in multimodal perception, and conducted multivariate and hypothesis tests, resulting in 1 publication. • Demonstrated ability to learn complex neuroscience concepts to the accomplishment of the work in less than 6 months. • Helped to develop 1 theoretical model of how the brain integrates vision and proprioception in the presence of noise distributions.
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EPFL (École polytechnique fédérale de Lausanne)
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Switzerland
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Higher Education
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700 & Above Employee
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Research Assistant
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Aug 2005 - Feb 2010
• Introduced and developed 1 mathematical framework for motion adaptation based on the combination of clustering algorithms and one optimization technique that resulted in 4 peer-reviewed publications. • Demonstrated communication skills by the public presentation of the results of my work to an international audience > 100 at EPFL campus. Presented scientific findings to project’s sponsors to security grant renewal every year, and presented results at 4 conferences. • Worked with… Show more • Introduced and developed 1 mathematical framework for motion adaptation based on the combination of clustering algorithms and one optimization technique that resulted in 4 peer-reviewed publications. • Demonstrated communication skills by the public presentation of the results of my work to an international audience > 100 at EPFL campus. Presented scientific findings to project’s sponsors to security grant renewal every year, and presented results at 4 conferences. • Worked with interdisciplinary experts, leading major activities, supporting different viewpoints and communicating 3+ project expectations with industry and academic partners. • Advanced the research in motion adaptation, and develop 1 original data-driven solution to predict human action/behavior from motion capture sensors data. Show less • Introduced and developed 1 mathematical framework for motion adaptation based on the combination of clustering algorithms and one optimization technique that resulted in 4 peer-reviewed publications. • Demonstrated communication skills by the public presentation of the results of my work to an international audience > 100 at EPFL campus. Presented scientific findings to project’s sponsors to security grant renewal every year, and presented results at 4 conferences. • Worked with… Show more • Introduced and developed 1 mathematical framework for motion adaptation based on the combination of clustering algorithms and one optimization technique that resulted in 4 peer-reviewed publications. • Demonstrated communication skills by the public presentation of the results of my work to an international audience > 100 at EPFL campus. Presented scientific findings to project’s sponsors to security grant renewal every year, and presented results at 4 conferences. • Worked with interdisciplinary experts, leading major activities, supporting different viewpoints and communicating 3+ project expectations with industry and academic partners. • Advanced the research in motion adaptation, and develop 1 original data-driven solution to predict human action/behavior from motion capture sensors data. Show less
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Education
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EPFL (École polytechnique fédérale de Lausanne)
Ph.D., Computer and Communication Sciences -
Universidade Estadual de Campinas
Ms.C., Computer Science -
Universidade Federal do Pará
Bs.C, Computer Science