Gustavo Carnivali | Bioinformatic | Best Researcher Award

Dr. Gustavo Carnivali | Bioinformatic | Best Researcher Award

Researcher at UFMG, Brazil

Gustavo Simões Carnivali is a dedicated researcher specializing in bioinformatics, computer graphics, and computational mathematics. His work focuses on gene networks, drug repurposing for COVID-19, and data visualization techniques. With a background in computer science and multiple master’s degrees, Gustavo is currently pursuing a Ph.D. in Bioinformatics while actively contributing to research at EMBRAPA and other institutions. He has a strong publication record and has presented his work at prestigious conferences. Gustavo’s interdisciplinary expertise and innovative research contributions highlight his commitment to advancing computational sciences and bioinformatics.

Professional Profiles

Education

Gustavo Simões Carnivali has pursued a diverse and rigorous academic path, reflecting his commitment to multidisciplinary studies. He is currently undertaking a Ph.D. in Education at Integraliza in Brazil under the guidance of Luiz Carlos Santos, alongside his ongoing Ph.D. studies in Bioinformatics at the Federal University of Minas Gerais (UFMG), supervised by Tiago Antonio de Oliveira Mendes and supported by a grant from Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG). Prior to his doctoral pursuits, Gustavo earned a Master’s degree in Computer Science at the Federal University of Juiz de Fora (UFJF), where he worked under Marcelo Bernardes Vieira’s mentorship. He also holds a Master’s degree in Education Sciences from Universidad Martin Lutero in the United States, completed in 2022 with guidance from Samuel de Oliveira Nicolau. Additionally, Gustavo achieved a Master’s degree in Computational Modeling at the National Scientific Computing Laboratory (LNCC) in Brazil, supported by a grant from Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and supervised by Artur Ziviani. His academic journey exemplifies his dedication to advancing knowledge across computer science, education, and bioinformatics fields.

Professional Experience

Gustavo Simões Carnivali has accumulated valuable professional experience across prestigious institutions and research environments. Currently, he serves as a researcher at the Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), contributing to cutting-edge projects in his field. Previously, he held positions at the Universidade Federal de Minas Gerais (UFMG) and Universidade Federal de Juiz de Fora (UFJF) as a grantee, where he engaged in various research and academic activities. His roles have encompassed a range of responsibilities, from conducting research in bioinformatics and computer science to collaborating on multidisciplinary projects. Gustavo’s professional journey underscores his expertise in scientific research and his commitment to advancing knowledge in his specialized areas.

Research Interest

Gustavo Simões Carnivali’s research interests span several key areas within bioinformatics, computer graphics, and computational mathematics. He focuses on leveraging bioinformatics tools to study genetic interactions related to diseases like Covid-19. His work extends to exploring machine learning methods for disease differentiation and developing computational models for efficient community detection in complex networks. Additionally, he engages in research aimed at understanding genetic variations and their implications in human health, showcasing a multidisciplinary approach that integrates computer science with biological sciences to address contemporary challenges in healthcare and beyond.

Award and Honors

Gustavo Simões Carnivali has garnered significant recognition for his contributions in computational sciences and bioinformatics. He received an Honorable Mention from the Brazilian Computer Society (SBC) in 2018 for his work on efficient community detection in large-scale complex networks. Additionally, he achieved First Place at Startup Weekend JF in 2015 for his project “New Dream.” These awards underscore his expertise and innovative approach in the fields of computer science, bioinformatics, and computational mathematics.

Research Skills

Gustavo Simões Carnivali is highly skilled in the fields of computer science, bioinformatics, and computational mathematics. His research expertise spans bioinformatics, focusing on gene networks and drug repurposing, as well as computer graphics for data visualization and computational mathematics for algorithmic development. With a background in machine learning, he applies these techniques to analyze complex datasets and model intricate networks. Gustavo is also proficient in scientific writing, having authored numerous peer-reviewed articles and presented his research at various international conferences. His interdisciplinary approach and innovative contributions underscore his commitment to advancing computational sciences and bioinformatics.

Publications

  1. Thermal Management of the Li‐Ion Batteries to Improve the Performance of the Electric Vehicles Applications
    • Authors: Vrije Universiteit Brussel
    • Year: 2022
  2. Understanding Voltage Behavior of Lithium-Ion Batteries in Electric Vehicles Applications
    • Authors: Not specified
    • Year: 2022
  3. Multi-objective particle swarm optimization and training of datasheet-based load dependent lithium-ion voltage models
    • Authors: Not specified
    • Year: 2021
  4. Reliability Evaluation of Lithium-Ion Batteries for E-Mobility Applications from Practical and Technical Perspectives: A Case Study
    • Authors: Not specified
    • Year: 2021
  5. Smart Grid in China, EU, and the US: State of Implementation
    • Authors: Not specified
    • Year: 2021
  6. Optimal Allocation and Planning of Distributed Power Generation Resources in a Smart Distribution Network Using the Manta Ray Foraging Optimization Algorithm
    • Authors: Not specified
    • Year: 2021
  7. Novel thermal management methods to improve the performance of the Li-ion batteries in high discharge current applications
    • Authors: Not specified
    • Year: 2021
  8. PCM assisted heat pipe cooling system for the thermal management of an LTO cell for high-current profiles
    • Authors: Not specified
    • Year: 2021
  9. Battery Modelling and Energy Management of the Electric Vehicles and Renewable Energy Resources
    • Authors: Vrije Universiteit Brussel
    • Year: 2021
  10. Aluminum Heat Sink Assisted Air-Cooling Thermal Management System for High Current Applications in Electric Vehicles
    • Authors: Vrije Universiteit Brussel
    • Year: 2020