Mr. Voncarlos Marcelo de Araujo | Computer vision

Mr. Voncarlos Marcelo de Araujo : Leading Researcher in Computer vision

Mr. Voncarlos Marcelo de Araujo, UniversitƩ du QuƩbec Ơ MontrƩal (UQAM), Canada

šŸŽ‰ Congratulations Mr. Voncarlos Marcelo de Araujo!

šŸ† On behalf ofĀ ScienceFather, we celebrate your remarkable achievement in winning the prestigious Research and Innovation Achievement Award!Ā Your dedication, innovative research, and scholarly contributions have left an indelible mark in your field. šŸŒŸ Your commitment to advancing knowledge and pushing the boundaries of research is truly commendable. Hereā€™s to your continued success in shaping the future of academia and making invaluable contributions to your field.

šŸŒŸ Mr. Voncarlos Marcelo de Araujo is a highly accomplished professional in the field of Artificial Intelligence, Pattern Recognition, Machine Learning, Privacy, and Cybersecurity. With a solid educational background and extensive research experience, He has made significant contributions to academia and the industry.

Professional Profiles:

.Ā  Ā Google Scholar

.Ā  Ā ORCID

.Ā  Ā Scopus

šŸŽ“Ā Education :
  • raduation in Analysis and System Development
    Faculdade GuairacĆ”. 2010/2012.

    • Title: The importance of technology in sales management and the development of the SOFTWAV prototype.
    • Supervisor: Regiane Orlovski.
  • Masters degree in Applied Computing
    Universidade Estadual de Ponta Grossa (UEPG). 2014/2016.

    • Title: Identification of plant species using a combination of classifiers.
    • Supervisor: Alceu de Souza Britto Junior.
    • Scholarship: CAPES
  • PhD in Informatics
    PontifĆ­cia Universidade CatĆ³lica do ParanĆ” (PUCPR). 2016/2020.

    • Title: Recognition of plant species from the leaf image using deep learning.
    • Supervisor: Alceu de Souza Britto Junior.
    • Scholarship: CAPES

šŸ‘Øā€šŸ”¬ Research Experience:

  • Postdoctoral in Informatics at UniversitĆ© du QuĆ©bec en Outaouais (UQO). 2021/2022.
    • Title: Membership Inference Attack for Beluga Whales Discrimination.
    • Supervisor: ClĆ©ment Chion
    • Co-Supervisor: SĆ©bastien Gambs
    • Scholarship: Groupe de recherche et dā€™Ć©ducation sur les mammifĆØres marins (GREMM)
  • Postdoctoral in Informatics at UniversitĆ© du QuĆ©bec Ć  MontrĆ©al (UQAM). 2022/Actual.
    • Title: Deep Learning approaches for Malware Detection.
    • Supervisor: SĆ©bastien Gambs
    • Scholarship: UniversitĆ© du QuĆ©bec Ć  MontrĆ©al (UQAM).

šŸŒ Research and Academic :

  • šŸŽ“šŸŒ± Continuous Learning
  • šŸ§ šŸ” Research Enthusiast
  • šŸš€šŸ“š Academic Excellence
  • šŸ¤–šŸ”¬ AI and Deep Learning

This academic and research journey reflects [Name]’s commitment to exploring the intersections of technology, nature, and security, showcasing a diverse and impactful career.

šŸŒ Research Interests :

  • šŸ¤– Artificial Intelligence
  • šŸ” Pattern Recognition
  • šŸ¤– Machine Learning
  • šŸ” Privacy
  • šŸ›”ļø Cybersecurity
šŸ“šĀ Publication Impact and Citations :Ā 

Scopus Metrics:

  • šŸ“Ā Publications: 4 documents indexed in Scopus.
  • šŸ“ŠĀ Citations: A total of 32 citations for his publications, reflecting the widespread impact and recognition of Mr. Voncarlos Marcelo’s research within the academic community.

Google Scholar Metrics:

All Time:

  • Citations: 62 šŸ“–
  • h-index: 4 šŸ“Š
  • i10-index: 3 šŸ”

Since 2018:

  • Citations: 61 šŸ“–
  • h-index: 4 šŸ“Š
  • i10-index: 3 šŸ”

šŸ‘Øā€šŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. šŸŒšŸ”¬

Publications ( Top Note ) :

1.Ā  Fine-grained hierarchical classification of plant leaf images using fusion of deep models

Published Year : 2018, Cited By: 19

2.Ā  Two-view fine-grained classification of plant species

Published Year: 2022, Cited By: 16

3.Ā  Multiple classifier system for plant leaf recognition

PublishedĀ  Year: 2017, Cited By: 15

4.Ā  Automatic control and robotics for greenhouses: A review on heating technologies

Published Year: 2014, Cited By: 6

5.Ā  Machine-learning approach for automatic detection of wild Beluga Whales from hand-held camera pictures

Published Year: 2022, Cited By: 4

6.Ā  AutomaĆ§Ć£o em casas de vegetaĆ§Ć£o: AplicaĆ§Ć£o de controles automĆ”ticos e robĆ³tica

Published Year: 2014, Cited By: 2

7.Ā  Membership inference attack for beluga whales discrimination

Published Year: 2023

 

May your efforts cultivate a future where the skies are not only filled with innovation but are also fortified against the challenges that technological progress may bring.

Wishing you continued success in your endeavors to secure the future ofĀ Network Protocols, Technology and Communication.