Stefan Gordanic | Agronomy | Best Researcher Award

Dr Stefan Gordanic |  Agronomy |  Best Researcher Award

Research Associate at  Institute for Medicinal Plants Research “Dr Josif Pančic”,  Serbia

Stefan Gordanić is a researcher at the Institute for Medicinal Plants Research “Dr. Josif Pančić” in Belgrade, Republic of Serbia. He specializes in the study of medicinal plants and their potential therapeutic applications. Stefan is actively involved in scientific research and has contributed to the advancement of knowledge in the field of plant-based medicine. He is passionate about exploring the bioactive compounds found in medicinal plants and their impact on human health.

Profile:

Education:

  • 2018: Bachelor of Science in Agriculture (Crop Farming), University of Belgrade, Faculty of Agriculture, Belgrade, Serbia
  • 2018–2019: Master of Science in Agriculture (Land and Water Management), University of Belgrade, Faculty of Agriculture, Belgrade, Serbia
  • 2019–2024: Ph.D. Studies in Agronomy, Faculty of Agriculture, University of Belgrade, Serbia

Professional Experience:

  • 2018–2019: Agricultural Advisory Service, PSSS Loznica
  • 2019–2020: Zemun Polje (ZP) Maize Institute
  • 2020–Present: Institute for Medicinal Plant Research “Dr. J. Pancic”, Belgrade, Serbia

Progress in Research Position:

  • 2020–Present: Research Trainee, Institute for Medicinal Plant Research “Dr. J. Pancic”, Belgrade, Serbia
  • 2022–Present: Research Associate, Institute for Medicinal Plant Research “Dr. J. Pancic”, Belgrade, Serbia

Publication Top Notes:

  • The Natural Habitats, Nutrients, and Heavy Metal Status of Wild Steppe Peony Populations in Serbia
    Marković, T., Tanasić, B., Gordanić, S., Lukić, M., Radanović, D.
    Horticulturae, 2024, 10(9), 972.
  • Improvement in Sustainable Production of Medicinal Herbs-Mint, Lemon Balm, and Marshmallow
    Simić, D., Janković, S., Popović, V., Nikolić, D., Gordanić, S.
    Agriculture and Forestry, 2024, 70(2), pp. 49–59.
  • Nutritional and Phytochemical Comparative Analysis of Conventional/Organic Maize Grain Before and After Subjection to Accelerated Aging Test – A Preliminary Study
    Golijan Pantović, J., Petronijević, R., Gordanić, S., Lekić, S., Kostić, A.Ž.
    Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 2024, 52(2), 13581.
  • A Detailed Survey of Agroecological Status of Allium ursinum Across the Republic of Serbia: Mineral Composition and Bioaccumulation Potential
    Gordanić, S.V., Kostić, A.Ž., Krstić, D., Marković, T., Moravčević, D.
    Heliyon, 2023, 9(11), e22134.
  • The Seed Traits Associated with Dormancy and Germination of Herbaceous Peonies, Focusing on Species Native in Serbia and China
    Marković, T., Prijić, Ž., Xue, J., Lukić, M., Gordanić, S.
    Horticulturae, 2022, 8(7), 585.
  • In Vitro Evaluation of Antioxidative Activities of the Extracts of Petals of Paeonia lactiflora and Calendula officinalis Incorporated in the New Forms of Biobased Carriers
    Batinić, P.M., Milošević, M.D., Lukić, M.M., Bugarski, B.M., Marković, T.Lj.
    Food and Feed Research, 2022, 49(1), pp. 23–35.
  • Phytochemical Characterization and Antioxidant Potential of Allium ursinum L. Cultivated on Different Soil Types – A Preliminary Study
    Stefan, G., Dragoja, R., Sandra, V., Đorđe, M., Aleksandar, Ž.K.
    Emirates Journal of Food and Agriculture, 2022, 34(11), pp. 904–914.
  • Seed Health Treatments in Organic Seed Production
    Golijan-Pantović, J., Sečanski, M., Gordanić, S.
    Agriculture and Forestry, 2022, 68(4), pp. 41–57.

 

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