Prof Dr. Rosane Collevatti | Object Detection and Recognition | Best Researcher Award

Prof Dr. Rosane Collevatti, Object Detection and Recognition, Best Researcher Award

Rosane Collevatti at Universidade Federal de Goias, Brazil

Professional Profile

🌟 Summary:

Dr. Rosane Garcia Collevatti, born on December 2, 1968, in Brazil, is an Associate Professor Level 3 at Universidade Federal de Goiás. With a profound dedication to evolutionary ecology, she specializes in population genomics, phylogeography, and community phylogeny in the Neotropics. Through her leadership, she supervises a dynamic research group, mentors numerous students, and oversees multiple projects aimed at unraveling biodiversity dynamics.

🎓 Education:

  • Ph.D. in Ecology, Universidade de Brasília, Brazil, 2000
  • M.Sc. in Entomology-Ecology, Universidade Federal de Viçosa, Brazil, 1995
  • B.Sc. in Forest Engineering, Universidade Federal de Viçosa, Brazil, 1992

💼 Professional Experience

  • Associate Professor Level 3, Universidade Federal de Goiás, Brazil (February 2009 – Present)
  • Full Professor, Universidade Católica de Brasília, Brazil (February 2000 – January 2009)
  • Scientific Adviser, CNPq Scientific Adviser Committee for Forest Resources, Brazil (March 2018 – December 2020)
  • Visiting Researcher, University of Gothenburg (Sweden), INRA (France), Smithsonian Tropical Research Institute (Panama)
  • Coordinator, IUFRO Division 2.04 (Genetics), Austria (June 2024 – ongoing)

🔬 Research Interests:

  • Evolutionary ecology
  • Phylogenetics and phylogenomics
  • Phylogeography
  • Community phylogeny
  • Landscape genetics and ecology
  • Population genomics

📖 Publications Top Noted:

Paper Title: The effect of tree-on-tree interactions and abiotic conditions on woody communities in Brazilian savannas
  • Authors: Davi Borges Chagas, Alessandro Rapini, Pedro Manuel Villa, Rosane Garcia Collevatti
  • Journal: Journal of Tropical Ecology
  • Volume: 39
  • Issue: 4
  • Pages: 460-471
  • Year: 2023
Paper Title: Amount and isolation of aquatic habitat drive anuran diversity in agricultural landscapes in the Brazilian Cerrado
  • Authors: Priscila Silveira, Samanta Iop, Juliana Silveira dos Santos, Edgar L. Lima, Felipe Martello, Milton Cezar Ribeiro, Natan M. Maciel, Rosane G. Collevatti
  • Journal: Landscape Ecology
  • Volume: 38
  • Issue: 9
  • Pages: 1871-1885
  • Year: 2023
Paper Title: Integrating ecological niche and hydrological connectivity models to assess the impacts of hydropower plants on an endemic and imperilled freshwater turtle
  • Authors:André Luis Regolin, Raíssa Bressan, Tobias S. Kunz, Felipe Martello, Ivo R. Ghizoni‐Jr, Jorge José Cherem, Danilo José Vieira Capela, Luiz Gustavo R. Oliveira‐Santos, Rosane Garcia Collevatti, Thadeu Sobral‐Souza
  • Journal: Journal of Applied Ecology
  • Volume: 60
  • Issue: 3
  • Pages: 631-643
  • Year: 2023
Paper Title: Neogene–Quaternary tectonic, eustatic and climatic events shaped the evolution of a South American treefrog
  • Authors: Tatianne Piza Ferrari Abreu‐Jardim, Natácia Evangelista de Lima, Lucas Jardim, Natan Medeiros Maciel, Rafael Félix de Magalhães, Guarino Rinaldi Colli, Célio Fernando Baptista Haddad, Rosane Garcia Collevatti
  • Journal: Journal of Biogeography
  • Volume: 50
  • Issue: 5
  • Pages: 1142-1156
  • Year: 2023
Paper Title: High and similar genetic diversity in wild and cultivated populations of the economically important fruit tree Caryocar coriaceum Wittm. in Caatinga
  • Authors: Feng, Q., Zhou, J., Dong, N., Han, X., Zhang, B.
  • Journal: Quantitative Imaging in Medicine and Surgery
  • Volume: 14
  • Issue: 3
  • Pages: 2309-2320
  • Year: 2024

Visionary Achievement Award

Visionary Achievement Award

Introduction:

Embrace the future of Computer Vision with our prestigious Visionary Achievement Award. This accolade pays tribute to trailblazers who have reshaped the landscape of Computer Vision through groundbreaking contributions and innovative thinking.

Eligibility:

The Visionary Achievement Award is open to global professionals, researchers, and entrepreneurs who have made exceptional strides in the realm of Computer Vision.

Age Limits and Qualifications:

No age restrictions apply. Candidates should boast a minimum of 5 years of experience, a relevant educational background, and a proven history of significant achievements in the field.

Publications and Requirements:

Applicants must showcase a portfolio of impactful publications in peer-reviewed journals and conferences, underlining their influential role in advancing Computer Vision.

Evaluation Criteria:

Candidates will be assessed based on the significance and innovation of their contributions, impact on the industry, and overall advancement of Computer Vision.

Submission Guidelines:

Craft a comprehensive application, including a detailed biography, an abstract of achievements, and supporting files in alignment with specified format guidelines.

Recognition:

Recipients of the Visionary Achievement Award will receive global acclaim through press releases, featured profiles, and exclusive participation in industry events.

Community Impact:

The award not only celebrates individual achievements but also emphasizes the broader impact on the Computer Vision community, fostering collaboration and knowledge-sharing.

Biography:

Applicants are encouraged to provide a detailed biography outlining their career journey, key achievements, and visionary outlook on the future of Computer Vision.

Abstract and Supporting Files:

Include a well-articulated abstract summarizing your contributions to Computer Vision. Submit supporting files such as research papers, projects, or products that showcase your visionary achievements.