Deucleiton Jardim Amorim | Agronomy | Best Researcher Award

Mr  Deucleiton Jardim Amorim | Agronomy | Best Researcher Award

Candidate PhD at  UNESP,  Brazil

Graduado em Agronomia pela Universidade Federal do Maranhão (UFMA, 2020), possui curso técnico em Agropecuária pelo Centro Familiar de Formação por Alternância e ensino médio profissionalizante – CEFFA (2012-2014). Mestre em Proteção de Plantas e Doutorando em Proteção de Plantas pela Universidade Estadual Paulista Júlio de Mesquita Filho – Unesp/FCA.

Profile:

Formação Acadêmica:

  • Doutorado em andamento em Agronomia (Proteção de Plantas)
    • Instituição: Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Brasil
    • Orientador: Silvia Renata Siciliano Wilcken
    • Coorientador: Luis Garrigós Leite
    • Ano de início: 2022
    • Bolsista: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
  • Mestrado em Agronomia (Proteção de Plantas)
    • Instituição: Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Brasil
    • Título: Prospecção de bactérias no controle biológico de nematoide-das-galhas (Meloidogyne incognita) e promoção de crescimento vegetal
    • Ano de obtenção: 2022
    • Orientador: Silvia Renata Siciliano Wilcken
    • Coorientador: Luis Garrigós Leite
    • Bolsista: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
    • Palavras-chave: Controle biológico; Bacillus; Pseudomonas; Nematoide-das-galhas
    • Grande área: Ciências Agrárias
  • Graduação em Agronomia
    • Instituição: Universidade Federal do Maranhão (UFMA), Brasil
    • Título: Alternativas de manejo para controle de Pratylenchus brachyurus na cultura da soja
    • Orientador: José Roberto Brito Freitas
    • Ano de conclusão: 2019
  • Curso técnico/profissionalizante em Técnico em Agropecuária
    • Instituição: Centro Familiar de Formação por Alternância Manoel Monteiro (CEFFA), Brasil
    • Ano de conclusão: 2014

Formação Complementar:

  • Taxonomia de fungos micorrízicos arbusculares (35h) – Universidade Estadual da Região Tocantina do MA (UEMASUL), 2018
  • Suplementação mineral para bovinos de corte (4h) – Universidade Federal do Maranhão (UFMA), 2017
  • Rotinas básicas de software QGIS aplicadas à agricultura: gestão e manuseio (8h) – Universidade Federal do Maranhão (UFMA), 2017
  • Implantação de pastagens (8h) – Universidade Federal do Maranhão (UFMA), 2016
  • Componente Solo nos Sistemas de ILPF (10h) – Serviço Nacional de Aprendizagem Rural (SENAR), 2016
  • Práticas de manejo das principais culturas do tabuleiro de São Bernardo (8h) – Universidade Federal do Maranhão (UFMA), 2016

Atuação Profissional:

  • Professor de Fitopatologia e Entomologia – Universidade Estadual da Região Tocantina do Maranhão (UEMASUL)
  • Engenheiro Agrônomo – Universidade Federal do Maranhão (UFMA)
  • Técnico em Agropecuária – Centro Familiar de Formação por Alternância e ensino médio profissionalizante (CEFFA)

Research Focus: Agronomy

  • Plant Protection: Given their master’s and doctoral studies in Plant Protection, their research is likely focused on strategies and technologies to safeguard crops from pests, diseases, and weeds.
  • Integrated Pest Management (IPM): Developing and optimizing IPM strategies to manage pest populations while minimizing environmental impact.
  • Crop Disease Management: Studying plant pathogens and disease dynamics to develop resistant crop varieties or effective management practices.
  • Pest Biology and Ecology: Researching the biology and ecology of crop pests to better understand their life cycles and interactions with crops.
  • Herbicide Resistance: Investigating mechanisms of herbicide resistance in weeds and developing alternative control methods.
  • Sustainable Agricultural Practices: Exploring sustainable approaches to crop protection that align with broader agricultural sustainability goals.

Publication Top Notes:

  • “Bacillus, Pseudomonas and Serratia control Meloidogyne incognita (Rhabditida: Meloidogynidae) and promote the growth of tomato plants”
    Rhizosphere
    2024-09
    DOI: 10.1016/j.rhisph.2024.100935
  • “Response of plants used in cover crop mix to Meloidogyne enterolobii, Meloidogyne incognita and Pratylenchus brachyurus”
    Pesquisa Agropecuária Tropical
    2023
    DOI: 10.1590/1983-40632023v5375822
  • “Logística, indicadores socioeconômicos e perdas pós-colheita de hortifrútis em cinco cidades Maranhenses”
    Revista Ibero-Americana de Ciências Ambientais
    2021-03-28
    DOI: 10.6008/CBPC2179-6858.2021.005.0054
  • “Casca de arroz carbonizada como substrato alternativo na propagação por estaquia de ixora (Ixora coccínea)”
    Revista Ibero-Americana de Ciências Ambientais
    2021-02-10
    DOI: 10.6008/CBPC2179-6858.2021.002.0003
  • “Aspectos da comercialização e perdas pós-colheita de beterraba em diferentes segmentos varejistas”
    Research, Society and Development
    2020-09-18
    DOI: 10.33448/rsd-v9i10.8191
  • “Substrato a base de bagana de carnaúba na propagação vegetativa de Ocimum basilicum”
    Research, Society and Development
    2020-09-06
    DOI: 10.33448/rsd-v9i9.7879
  • “Postharvest losses of fruits and vegetables in different microregions of Maranhão, Brazil”
    Revista Ibero-Americana de Ciências Ambientais
    2020-06-05
    DOI: 10.6008/CBPC2179-6858.2020.005.0056
  • “Perdas pós-colheita e destinação final de frutas em segmentos comerciais de Teresina (PI)”
    Revista Ibero-Americana de Ciências Ambientais
    2020-04-02
    DOI: 10.6008/CBPC2179-6858.2020.003.0034

 

 

Liang He | Agronomy | Best Researcher Award

Prof Liang He | Agronomy | Best Researcher Award

dean at  Xinjiang university, China

Dr. He Liang, born in December 1981, is a distinguished professor and serves as the Executive Vice Dean of the School of Computer Science and Technology, as well as the Dean of the School of Intelligence Science and Technology at Xinjiang University. He holds a Ph.D. in Artificial Intelligence and specializes in temporal sequence signal processing, knowledge graphs, and reinforcement learning.

Profile:

Educational Background:

  • Qualification: PhD
  • Specialization: Artificial Intelligence
  • Sub-Division: Knowledge Graphs, Reinforcement Learning

Professional Experience and Achievements:

Dr. He Liang serves as the Executive Vice Dean of the School of Computer Science and Technology and Dean of the School of Intelligence and Science and Technology at Xinjiang University. With a focus on temporal sequence signal processing, knowledge graphs, and reinforcement learning, he has led over 20 scientific research projects and published over 100 academic papers in prestigious journals and conferences, including Nature Communication, IEEE Trans on ASLP, and ICASSP.

He is a well-regarded reviewer for several international journals and conferences such as IEEE Audio, Speech and Language Processing, and Pattern Recognition. Dr. Liang’s contributions to research have earned him over 1000 citations in Scopus/Web of Science.

Research and Development Contributions:

Dr. Liang has made significant contributions to the study of drought stress resistance in cotton plants, exploring optimal irrigation methods to improve yield and conserve water. His research has shown a strong correlation between deficit irrigation and improved cotton yield, leading to optimized irrigation schemes that benefit local agriculture.

Agronomy Research Focus:

Dr. He Liang has directed a significant portion of his research towards addressing agronomic challenges, particularly in the context of arid regions. His work primarily focuses on optimizing agricultural practices through advanced data-driven methodologies and artificial intelligence.

Citations:

  • H-Index: 25 (Total), 24 (Since 2019)
  • i10-Index: 66 (Total), 61 (Since 2019)
  • Total Citations: 2352 (Total), 1836 (Since 2019)

 

Publication Top Notes:

  • Applications of Chemical Vapor Generation in Non-Tetrahydroborate Media to Analytical Atomic Spectrometry
    • Year: 2010
    • Citations: 202
  • Large Margin Softmax Loss for Speaker Verification
    • Year: 2019
    • Citations: 163
  • The Trans-Omics Landscape of COVID-19
    • Year: 2021
    • Citations: 88
  • Speaker Embedding Extraction with Phonetic Information
    • Year: 2018
    • Citations: 77
  • Evaluation of Tungsten Coil Electrothermal Vaporization-Ar/H2 Flame Atomic Fluorescence Spectrometry for Determination of Eight Traditional Hydride-Forming Elements and Cadmium
    • Year: 2008
    • Citations: 55
  • Dynamics and Correlation Among Viral Positivity, Seroconversion, and Disease Severity in COVID-19: A Retrospective Study
    • Year: 2021
    • Citations: 53
  • Enhance Prototypical Network with Text Descriptions for Few-Shot Relation Classification
    • Year: 2020
    • Citations: 53
  • Simultaneous Utilization of Spectral Magnitude and Phase Information to Extract Supervectors for Speaker Verification Anti-Spoofing
    • Year: 2015
    • Citations: 52