Eric Campos | Agricultural and Biological Sciences | Best Researcher Award

🌟Dr. Eric Campos, Agricultural and Biological Sciences, Best Researcher Award🏆

  •   Doctorate at State University of Maringá, Brazil 

Eric Costa Campos is an applied aquaculture geneticist with expertise in fish breeding programs and fish farming across various environments. He possesses strong skills in both Frequentist and Bayesian methodologies for genetic evaluations and data analysis. With a Bachelor’s degree in Animal Science from the Federal University of Mato Grosso and a Master’s and Doctoral degree in Animal Science from the State University of Maringá, Eric has a solid academic background. He has contributed significantly to the field through his work at Consolata Agroindustrial Cooperative (COPACOL), PeixeGen Group, and as a young researcher with CAPES and CNPq.

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Scopus Profile

ORCID Profile

Eric Costa Campos’s academic profile showcases his significant contributions to the field of aquaculture genetics. Affiliated with Universidade Estadual de Maringá in Brazil, Campos has established himself as a notable researcher in the domain. With a Scopus Author Identifier and an ORCID profile, he has a clear digital footprint in the scholarly community. His work has garnered recognition, evident from the 32 citations across 9 documents, indicating the impact and relevance of his research. The h-index of 3 further underscores his influence, considering the number of publications and their respective citation counts. Campos’s publications likely cover a range of topics related to fish breeding, genetics, and aquaculture practices, contributing to the scientific knowledge base in these areas. His profile reflects a commitment to scholarly excellence and a dedication to advancing the field of aquaculture genetics.

Education

  • Bachelor in Animal Science, Federal University of Mato Grosso, 2016.
  • Master degree in Animal Science, State University of Maringá, 2019.
  • Doctor degree in Animal Science, State University of Maringá, 2022.

Research Focus

Eric’s research primarily revolves around genetic evaluation and breeding programs for fish species, with a particular focus on Nile tilapia and tambaqui. He has worked on the development of statistical models for selective breeding, estimation of genetic parameters, and selection indices. Additionally, his work includes exploring genetic diversity using molecular markers and evaluating the effects of genotype-environment interactions on breeding programs.

Professional Journey

  • Geneticist at Consolata Agroindustrial Cooperative (COPACOL), since 2020.
  • Breeding Scientist at PeixeGen Group, 2016 – 2022.
  • Young researcher with CAPES and CNPq, 2014 – 2020.

Honors & Awards

  • Honorable mention in fish farming area, Animal Science Brazil Congress (2018).
  • Best Scientific Abstract, 7th Agribusiness Management Symposium (2017).

Publications Top Noted & Contributions

Eric has contributed to several peer-reviewed publications in prestigious journals, focusing on various aspects of fish breeding and genetics. His research papers cover topics such as genetic parameters and response to selection, breeding programs for Nile tilapia, estimation of genetic parameters using digital image analysis, and the application of molecular markers for assessing genetic diversity in fish species.

Title: A breeding program for Nile tilapia in Brazil: Results from nine generations of selection to increase the growth rate in cages

  • Journal: Journal of Animal Breeding and Genetics
  • Date: March 2022
  • DOI: 10.1111/jbg.12650
  • Contributors: Grazyella Massako Yoshida; Carlos Antonio Lopes de Oliveira; Eric Costa Campos; Humberto Todesco; Filipe C. T. Araújo; Hanner Mahmud Karin; Aline M. S. O. Zardin; Jailton S. Bezerra Júnior; Luiz Alexandre Filho; Lauro Vargas, et al.

Title: Genetic diversity in Amazonian Jundiá (Leiarius marmoratus) stocks using heterologous primers

  • Journal: Acta Scientiarum. Animal Sciences
  • Date: December 22, 2021
  • DOI: 10.4025/actascianimsci.v44i1.52657
  • Contributors: Laís Santana Celestino Mantovani; Felipe Pinheiro de Souza; Eric Costa Campos; Vanessa Lewandowski; Nelson Maurício Lopera Barrero; Ricardo Pereira Ribeiro

Title: Estimation of genetic parameters for body areas in Nile tilapia measured by digital image analysis

  • Journal: Journal of Animal Breeding and Genetics
  • Date: November 2021
  • DOI: 10.1111/jbg.12551
  • Contributors: Alex Júnio da Silva Cardoso; Carlos Antonio Lopes de Oliveira; Eric Costa Campos; Ricardo Pereira Ribeiro; Gutierrez José de Freitas Assis; Fabyano Fonseca e Silva

Title: Effects of genotype × environment interaction on the estimation of genetic parameters and gains in Nile tilapia

  • Journal: Journal of Applied Genetics
  • Date: December 19, 2020
  • DOI: 10.1007/s13353-020-00576-2
  • Contributors: Filipe Chagas Teodózio de Araújo; Carlos Antonio Lopes de Oliveira; Eric Costa Campos; Grazyella Massako Yoshida; Vanessa Lewandowski; Humberto Todesco; Nguyen Hong Nguyen; Ricardo Pereira Ribeiro

Title: Genetic parameters and response to selection for growth in tambaqui

  • Journal: Animal
  • Date: September 20, 2020
  • DOI: 10.1017/S1751731120000488
  • Contributors: E.C. Campos; C.A.L. Oliveira; F.C.T. Araújo; H. Todesco; F.N. Souza; R.M. Rossi; D.C. Fornari; R.P. Ribeiro

Research Timeline

  • 2014 – 2020: Conducted research as a young researcher with CAPES and CNPq, focusing on fish farming development and genetic models.
  • 2016 – 2022: Worked as a Breeding Scientist at PeixeGen Group, leading breeding programs for Nile tilapia and contributing to data analysis and breeding value estimation.
  • 2020 – Present: Currently serving as a Geneticist at Consolata Agroindustrial Cooperative (COPACOL), where he plans, coordinates, and executes tilapia breeding programs, contributing to COPACOL’s status as a pioneer in integrated fish systems.

Prerna Mehta | Agricultural and Biological Sciences | Innovation Catalyst Award

🌟Ms. Prerna Mehta, Agricultural and Biological Sciences, Innovation Catalyst Award 🏆

  • Prerna Mehta at GD Rungta College of Science and Technology, Bhilai, Chhattisgarh, India

Prerna Mehta, currently serving as the Associate Director of Management, Creative Operations, is a seasoned academician and researcher based in Durg, Chhattisgarh, India. With over seven years of experience in the educational sector, she has held impactful roles as an Assistant Professor and Lecturer, demonstrating a strong commitment to advancing education and contributing to biotechnological research. Prerna’s journey is marked by notable achievements, including authoring published works and securing utility patents, reflecting her dynamic and accomplished professional trajectory.

Author Profile:

ORCID Profile

Education:

Prerna Mehta holds a Bachelor of Education (B.Ed) from Ghyanshayam Kanya College, Hemchand Yadav University, a Master of Science (M.Sc) from Govt V.Y.T P.G. Autonomous College, Pandit Ravishankar Shukla University, and a Bachelor of Science (B.Sc) from Rungta College of Science & Technology, Pandit Ravishankar Shukla University. Her academic background provides a solid foundation in biotechnology and education, enabling her to excel in her teaching and research endeavors.

Research Focus:

Prerna Mehta’s research interests span across various domains, including biomolecules, molecular biology, environmental biotechnology, and biostatistics. She has actively contributed to projects focusing on topics such as DNA extraction, wastewater treatment simulations, enzyme kinetics experiments, and protein quantitative analysis. Her research aims to address contemporary challenges in biotechnology and contribute to the advancement of scientific knowledge.

Professional Journey:

Prerna Mehta embarked on her professional journey as a Lecturer at Vishwadeep Senior Secondary School and later at Khalsa Public School, where she effectively taught Biology to students and contributed to enriching the educational experience through comprehensive projects and practicals. Currently, she serves as an Assistant Professor at GD Rungta College of Science and Technology, Bhilai, where she imparts knowledge and fosters practical understanding in various biotechnological subjects.

Honors & Awards:

Throughout her career, Prerna Mehta has been recognized for her outstanding contributions and achievements. She has been awarded the Best Paper Presentation at Shaastrarth 2023 for her research titled ‘Plant Essential Oil-Based NanoLarvicide for the Control of Malaria Vector.’ Additionally, she has received accolades for her book publications and participation in educational initiatives, reflecting her dedication and excellence in her field.

Publications Top Noted & Contributions:

Prerna Mehta is a prolific author with contributions in various publications, including book chapters and research papers. Her works cover a wide range of topics such as intellectual property rights, sustainability, and emerging technologies in biological sciences. She has also presented papers at conferences and seminars, actively contributing to the dissemination of scientific knowledge and advancements in her field.

Title: Utilizing Fungal Biodegradation for Valorisation of Lignocellulosic Waste Biomass and Its Diverse Applications

  • Type: Journal article
  • Published on: February 13, 2024
  • Journal: Not specified
  • DOI: 10.1002/appl.202300119

Author Metrics:

As an author, Prerna Mehta has demonstrated significant impact and reach with her publications. Her works have been featured in reputable journals and publications, contributing to the scholarly discourse in biotechnology and education. With a focus on quality research and innovative contributions, she continues to make a meaningful impact in her academic and professional community.

Research Timeline:

Prerna Mehta’s research journey has been marked by consistent growth and exploration of diverse topics in biotechnology. From her early years as a Lecturer to her current role as an Assistant Professor, she has engaged in research activities, attended workshops, and participated in educational tours to broaden her knowledge and expertise. Her research timeline reflects a continuous pursuit of excellence and a commitment to advancing scientific understanding in her field.

Kebiao Mao | Agricultural and Biological Sciences | Best Researcher Award 

🌟Prof. Kebiao Mao, Agricultural and Biological Sciences, Best Researcher Award🏆

 Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, China  

Professor Kebiao Mao is a distinguished researcher specializing in remote sensing and agricultural resources management. With a Ph.D. in Geographic Information Systems, he has made significant contributions to the field through his expertise in artificial intelligence, big data, and drought monitoring. His career spans academia and research institutions, where he has garnered recognition for his innovative work in geophysical parameter retrieval and satellite data assimilation.

Author Metrics:

With an extensive publication record and numerous patent applications, Professor Mao’s impact on the field of remote sensing and agricultural science is evident. His work has been cited widely, indicating its significance and relevance to the research community.

Google Scholar Profile

Orcid Profile

Scopus Profile

Citations: This indicates the total number of times their work has been cited by other scholarly articles. For the first author or researcher, the total number of citations is 3350. For the second one, it’s 1846.

h-index: The h-index is a metric that attempts to measure both the productivity and impact of an author’s scholarly publications. An author with an h-index of 32 means they have 32 papers that have each been cited at least 32 times. Similarly, an h-index of 24 indicates that the author has published 24 papers, each of which has been cited at least 24 times.

i10-index: The i10-index is a metric specifically used by Google Scholar to measure the number of publications by an author that have at least 10 citations. An i10-index of 83 suggests that the first author has 83 papers with at least 10 citations each.

Education

Kebiao Mao obtained his Ph.D. in Geographic Information Systems from the Chinese Academy of Sciences after completing his Bachelor’s and Master’s degrees in Geography from Northeast Normal University and Nanjing University, respectively.

Research Focus

Professor Mao’s research primarily focuses on remote sensing applications in agriculture, with a particular emphasis on geophysical parameters retrieval, satellite data assimilation, and the development of crop growth models. He specializes in utilizing artificial intelligence and big data techniques to monitor drought, estimate land surface temperature, and analyze soil moisture.

Professional Journey

Professor Mao has held various academic and research positions throughout his career. He has served as a Professor at the Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, and as an Associate Professor and Assistant Researcher in the same institution. Additionally, he has undertaken visiting research positions at prestigious institutions, such as the National Central University in Taiwan.

Honors & Awards

Throughout his career, Professor Mao has received numerous honors and awards for his outstanding contributions to the field of remote sensing and agricultural science. His innovative research has been recognized both nationally and internationally, solidifying his reputation as a leading expert in his field.

Publications Top Noted & Contributions

Professor Mao has authored over 150 papers in international and Chinese scientific journals, covering a wide range of topics related to remote sensing and agricultural resources management. He has also applied for several patents for inventions, demonstrating his commitment to advancing technological solutions in the field.

“Near‐surface air temperature estimation from ASTER data based on neural network algorithm” (2008):

  • Authors: K. Mao, HJ Tang, XF Wang, QB Zhou, DL Wang
  • Published in the International Journal of Remote Sensing.
  • This article discusses the estimation of near-surface air temperature using ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) data, employing a neural network algorithm.

“A fine-resolution soil moisture dataset for China in 2002–2018” (2020):

  • Authors: X Meng, K Mao, F Meng, J Shi, J Zeng, X Shen, Y Cui, L Jiang, Z Guo
  • Published in Earth System Science Data Discussions.
  • It presents a detailed dataset of soil moisture at a fine resolution for China spanning from 2002 to 2018.

“Analysis of the spatiotemporal change in land surface temperature for a long-term sequence in Africa (2003–2017)” (2020):

  • Authors: N NourEldeen, K Mao, Z Yuan, X Shen, T Xu, Z Qin
  • Published in Remote Sensing.
  • This article analyzes the spatiotemporal changes in land surface temperature over a long-term period (2003–2017) in Africa.

“An RM‐NN algorithm for retrieving land surface temperature and emissivity from EOS/MODIS data” (2007):

  • Authors: K Mao, J Shi, ZL Li, H Tang
  • Published in the Journal of Geophysical Research: Atmospheres.
  • It proposes an algorithm called RM‐NN for retrieving land surface temperature and emissivity from EOS/MODIS data.

“A soil moisture estimation framework based on the CART algorithm and its application in China” (Year not specified):

  • Authors: J Han, K Mao, T Xu, J Guo, Z Zuo, C Gao
  • Published in the Journal of Hydrology.
  • This article presents a framework for estimating soil moisture based on the CART (Classification and Regression Trees) algorithm and its application in China.

Research Timeline

Professor Mao’s research journey has evolved over the years, starting with his education in geography and culminating in his current position as a Professor at the Institute of Agricultural Resources and Regional Planning. Along the way, he has made significant contributions to the field through his research, publications, and patent applications, shaping the landscape of remote sensing and agricultural resources management.