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Researchers on NotedSource with connections to Centro Universitário Paulistano include Danilo Arruda, Ph.D..

Danilo Arruda, Ph.D.

Ph.D. Researcher on Virtual Reality, Perception, Sports, and Biomechanics
Education

University of Wyoming

Ms. of Kinesiology and Exercise Science, Kinesiology and Health / June, 2021

Laramie, Wyoming, United States of America

Universidade Paulistana

Specialist in Sports Training, Educação física

Sao Paulo

Pontifícia Universidade Católica do Paraná

Bacharelado em Educação física, Educação física / February, 2013

Curitiba

University of Minnesota

Ph.D., Kinesiology / May, 2024 (anticipated)

Minneapolis, Minnesota, United States of America
Research Expertise
volleyball
focus of attention
coordination
variability
sports performance
About
I am a PhD in kinesiology with expertise in data analysis, human factors, virtual reality, and biomechanics. <br> My educational journey includes a Bachelor's degree in Exercise Science (2013), where I engaged in research projects on 2D motion analysis and physical testing for diverse populations. Subsequently, I obtained a Master’s degree in Kinesiology and Health (2021), focusing on Perceptual-Motor Control and Learning. My research explored how attention impacts the kinematics and coordination of volleyball athletes and novices, resulting in my thesis, a peer-reviewed article, and a conference presentation. I also bring extensive experience from my full-time volleyball coach career (2013-2018), earning the Best Coach of the Year award in 2015 and participating in state, national, and international tournaments. During that time, I continued my research and published nine peer-reviewed papers between 2014 and 2020, with a primary focus on performance analysis in volleyball, sports planning, and recovery. In summary, I offer 12 years of scientific research experience, encompassing design, execution, analysis, and reporting. My expertise spans eight years in human motion analysis, including kinematics, kinetics, and EMG. With three years of virtual reality experience, I've designed virtual environments and experiments to investigate how humans interact with that technology. My data analysis proficiency includes classic parametric and non-parametric tests, modern techniques like Bootstrapping and Permutation Tests, Statistic Parametric Mapping, Cluster Analysis, and time series methods (ARIMA, ARMA). Additionally, I have a solid grasp of machine learning, encompassing supervised and unsupervised learning, as well as natural language processing. My skills extend to data visualization, with proficiency in Python (matplotlib and seaborn), R (ggplot2, plotty), GUI using R – Shiny, and Power-BI. I'm well-versed in coding with Matlab, R, Python, and C#. My key attributes include creativity, a strong desire for continuous learning, and my ongoing pursuit of knowledge. Currently, I am learning a new programming language (DART) and exploring philosophy 😊.

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