Johnpaul M | Agriculture | Best Researcher Award

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Dr. Johnpaul M | Agriculture | Best Researcher Award

Assistant Professor at Central University of Kerala,  India

Dr. Johnpaul M. is an Assistant Professor in the Department of Management Studies at the Central University of Kerala. With a strong academic and research background, he specializes in [insert area of expertise – e.g., organizational behavior, strategic management, etc.]. His work focuses on [briefly mention research interests or teaching areas], and he has contributed to several national and international conferences and journals. Passionate about education and innovation, Dr. Johnpaul is committed to nurturing future leaders in management studies.

Profile:

🎓 Academic Qualifications:

  • Ph.D. in Management, Mahatma Gandhi University, Nalgonda
    Thesis: Marketing Strategies for Implementation of Digital Economy: A Study with Special Reference to Select Sectors in Telangana State

  • M.B.A. (Master of Business Administration)

  • M.A. (Economics)

  • UGC-NET & AP-SET Qualified

  • Ph.D. (Management)

🏫 Teaching Experience:

  • Assistant Professor, Dept. of Management Studies, Central University of Kerala (July 2022 – Present)

  • Assistant Professor, Dept. of Business Studies, Mahatma Gandhi University, Nalgonda (Sept 2009 – July 2022)
    Total Teaching Experience: 14 years

🧑‍💼 Administrative Roles:

  • Coordinator, Academic Audit Cell, MG University (2016–2021)

  • NSS Program Officer, University College of Commerce & Business Management (2015–2021)

  • Member, AICTE Internal College Committee, MG University

  • Warden, Nagarjuna Boys Hostel, Panagal (2011–2014)

🧠 Area of Research:

  • Digital Economy & Marketing Strategies

  • Artificial Intelligence & Machine Learning in Business

  • Sustainable Tourism and Corporate Governance

  • Digital Banking and Financial Technologies

  • Bibliometric Analysis and Decision-Making Models

  • Blockchain and IoT in Supply Chain

Publication Top Notes:

 

Matheus Massariol Suela | Crop Science | Best Researcher Award

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Mr Matheus Massariol Suela |  Crop Science |  Best Researcher Award

PhD Candidate at  Federal University of Viçosa (UFV)/University of Florida (UF), United States

Matheus Massariol Suela is a Ph.D. candidate in Genetics and Breeding based in Viçosa, Brazil. A Brazilian national born on March 22, 1997, Matheus is a dedicated researcher with a focus on quantitative genetics. His expertise includes applying statistical methods in Genome-Wide Association Studies (GWAS) and Genomic Selection (GWS), key approaches in understanding genetic variation and improving breeding programs.

Profile:

Education:

  • Ph.D. in Genetics and Breeding (July 2021 – Present), Federal University of Viçosa
    Project: Structural Equation Models for genome-wide studies in Glycine max and Coffea arabica.
  • Sandwich Ph.D. Period (May 2024 – Present), University of Florida
    Focus: Quantitative genetics for blueberry and coffee breeding, with Ph.D. Patricio Muñoz and Ph.D. Felipe Ferrão.
  • M.Sc. in Genetics and Breeding (March 2020 – June 2021), Federal University of Viçosa
  • B.Sc. in Agronomy (March 2015 – December 2019), Federal University of Viçosa
  • Agricultural Technician (March 2012 – December 2014), Federal Institute of Espírito Santo – Campus Itapina

Research and Professional Experience:

  • Extensive experience in genome-wide association studies (GWAS) and genomic selection (GWS) using Structural Equation Models (SEM) and Bayesian networks.
  • Currently researching and implementing advanced genetic approaches in blueberry and coffee breeding.
  • Internship and project participation in agronomic and breeding-focused programs, including Agroconsult’s Harvest Rally and research on traits in rice, soy, and coffee.

Computational Skills:

  • Programming: Advanced R, Intermediate C, Basic Python
  • Data Analysis Tools: Power BI, Office Suite (Excel, Word, PowerPoint)
  • Developed Software: ECERSEM-AdaptStab (Structural Equation Models for adaptability and stability analysis in crop breeding)

Awards and Recognitions:

  • 2nd Place – GDM Innovation Award 40 years, 2023
  • Silver Medal – Presidente Arthur da Silva Bernardes for academic performance in Agronomy, 2020
  • 2nd Place – Brazilian Agricultural Olympics, 2014

Publication Top Notes 📚

  1. Integrating Environmental Covariates into Adaptability and Stability Analyses: A Structural Equation Modeling Approach for Cotton Breeding
    Agriculture, 2024-10-28 | DOI: 10.3390/agriculture14111914
  2. Updating knowledge in estimating the genetics parameters: Multi-trait and Multi-Environment Bayesian analysis in rice
    Scientia Agricola, 2023 | DOI: 10.1590/1678-992x-2022-0056
  3. Genome-wide association study for morphological, physiological, and productive traits in Coffea arabica using structural equation models
    Tree Genetics & Genomes, 2023-06 | DOI: 10.1007/s11295-023-01597-8
  4. Regional heritability mapping and genome‐wide association identify loci for rice traits
    Crop Science, 2022-03 | DOI: 10.1002/csc2.20706
  5. Structural equation models for genome-wide association study in Coffea arabica
    2021-07-27 | DOI: 10.47328/ufvbbt.2021.164
  6. Combined index of genomic prediction methods applied to productivity
    Ciência Rural, 2019 | DOI: 10.1590/0103-8478cr20181008
  7. New insights into genomic selection through population-based non-parametric prediction methods
    Scientia Agricola, 2019-07 | DOI: 10.1590/1678-992x-2017-0351