Michel Bortolini Hell, Ph.D. Email & Phone Number
Who is Michel Bortolini Hell, Ph.D.? Overview
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Michel Bortolini Hell, Ph.D. is listed as Associate Professor of Electrical and Computer Engineering at Universidade Federal de Juiz de Fora, based in Menlo Park, California, United States. AeroLeads shows a matched LinkedIn profile for Michel Bortolini Hell, Ph.D..
Michel Bortolini Hell, Ph.D. previously worked as Visiting Researcher at Santa Clara University and Head Of Department at Universidade Federal De Juiz De Fora. Michel Bortolini Hell, Ph.D. holds Doctor Of Philosophy - Phd, Artificial Intelligence from Universidade Estadual De Campinas.
Email format at Universidade Federal de Juiz de Fora
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About Michel Bortolini Hell, Ph.D.
Skilled AI/ML Ph.D. research engineer with 15+ year of experience in designing and developing AI/ML models and systems across diverse fields including predictive modeling, signal processing, data mining, classification, clustering, regression, computer vision, times series forecasting and failure prediction. Extensive experience in theoretical and empirical research and for solving real world problems. Extensive experience in managing research projects, writing research grants, and mentoring and delegating in research teams. Experience in administrative management and staff supervision. Highly experienced in collating and analyzing data, enhancing existing models and developing new AI/ML frameworks and solutions for real-world problems. Proficient in collaborating with interdisciplinary teams in both academic and industry environments.SUMMARY OF QUALIFICATIONS
Michel Bortolini Hell, Ph.D.'s current company
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Michel Bortolini Hell, Ph.D. work experience
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Visiting Researcher
CurrentApplications of artificial intelligence/machine learning/deep learning techniques in biomedical imaging analysis and visualization, AI-assisted disease classifications, and AI/Machine Learning for Human-Computer Interface.
Associate Professor Of Electrical And Computer Engineering
CurrentConduct research in the areas of signal processing, time series forecasting, nonlinear dynamic modeling, electrical machines and electrical power systems through the use of advanced machine learning/deep learning techniques. Guide undergraduate and graduate students. Teach classes in the areas of digital circuits, signal processing, microcontrolled.
Head Of Department
Lead the department of Electrical Engineer in developing and improving teaching and learning. Manage departmental budget and resources, including physical space and human resources. Chair periodic department meetings, providing agendas and minutes of these meetings to the academic community.
Adjunct Professor
Conduct research in the areas of signal processing, time series forecasting, nonlinear dynamic modeling, electrical machines and electrical power systems through the use of advanced machine learning/deep learning techniques. Guide undergraduate and graduate students. Teach classes in the areas of digital circuits, signal processing, microcontrolled.
Academic Coordinator
Constant evaluation of the current curriculum materials and resources, develop strategies to improve student performance, and collaborate with school administrators and personnel.
Collaborator Researcher
Designed and developed a pipeline to automatic quantification of RNAscope Fluorescent Multiplex Assays using UNet convolutional networks. Analyze multidimensional brain activity data from iDisco+ technique using machine learning framework.
Academic Coordinator
Constant evaluation of the current curriculum materials and resources, develop strategies to improve student performance, and collaborate with school administrators and personnel.
Assistant Professor
Teach classes in the areas of signal processing and automation and control in undergraduate level. Guide undergraduate students.
Assistant Professor
Teach classes in the areas of signal processing, automation and control and electric machines in undergraduate level. Guide undergraduate students.
Electrical Engineer
Conduct infrastructure works in the installation of terrestrial and marine fiber optic cables in Brazil, Argentina and Bolivia.
Michel Bortolini Hell, Ph.D. education
Doctor Of Philosophy - Phd, Artificial Intelligence
Master'S Degree, Artificial Intelligence
Bachelor'S Degree, Electrical And Electronics Engineering
Frequently asked questions about Michel Bortolini Hell, Ph.D.
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What company does Michel Bortolini Hell, Ph.D. work for?
Michel Bortolini Hell, Ph.D. works for Universidade Federal de Juiz de Fora.
What is Michel Bortolini Hell, Ph.D.'s role at Universidade Federal de Juiz de Fora?
Michel Bortolini Hell, Ph.D. is listed as Associate Professor of Electrical and Computer Engineering at Universidade Federal de Juiz de Fora.
Where is Michel Bortolini Hell, Ph.D. based?
Michel Bortolini Hell, Ph.D. is based in Menlo Park, California, United States while working with Universidade Federal de Juiz de Fora.
What companies has Michel Bortolini Hell, Ph.D. worked for?
Michel Bortolini Hell, Ph.D. has worked for Universidade Federal De Juiz De Fora, Santa Clara University, Stanford University School Of Medicine, Centro Universitário Una, and Pontifícia Universidade Católica De Minas Gerais.
How can I contact Michel Bortolini Hell, Ph.D.?
You can use AeroLeads to view verified contact signals for Michel Bortolini Hell, Ph.D. at Universidade Federal de Juiz de Fora, including work email, phone, and LinkedIn data when available.
What schools did Michel Bortolini Hell, Ph.D. attend?
Michel Bortolini Hell, Ph.D. holds Doctor Of Philosophy - Phd, Artificial Intelligence from Universidade Estadual De Campinas.
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