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

 

Arash Rasi | Agronomy| Best Researcher Award

Mr Arash Rasi | Agronomy | Best Researcher Award

Master’s at University of Tehran, Iran

Arash Rasi, a master’s student at the University of Tehran, focused on agronomy and plant breeding from 2020 to 2023. He is a published author with a recent article titled “Modulation of Tropane Alkaloids’ Biosynthesis and Gene Expression by Methyl Jasmonate in Datura stramonium L.” published in 2024. Arash’s research interests lie in plant biology and molecular biology, particularly in understanding the biochemical pathways of secondary metabolites in plants.

Profile:

Education:

M.Sc. in Plant Biotechnology University of Tehran, Tehran, Iran (September 2020 – September 2023). B.Sc. in Plant Biology University of Tehran, Tehran, Iran (September 2013 – June 2017).

Work Experience:

Research Assistant: University of Tehran, Tehran, Iran (June 2016 – April 2017) Research on Medicago seed germination under different temperatures and lights. Master Researcher: University of Tehran, Karaj, Iran (June 2021 – September 2023) Studied the effect of methyl jasmonate elicitor on tropane alkaloids production in Datura using HPLC and Real-time PCR.

Teaching Experience:

Biology Teacher at multiple high schools, including Allameh Tabataee, Atarode Elm, Valeh, Sama, and Allame Helli (2017 – present). Teacher Assistant of Biological Mathematics at the University of Tehran (September 2015 – January 2016). Educational Consultant at Ghalamchi Organization (July 2013 – June 2015).

Certificates:

  • National Biology Symposium (February 2016)
  • CRISPR/Cas9 Course (November 2020)
  • Primer Design for qPCR Course (December 2020)
  • TOEFL English Test (Score: 88, January 2024)

Extracurricular Activities:

Editorial Team Member of “The Science Magazine of the University of Tehran” (September 2010 – February 2012).

Research Focus: Agronomy

Arash Rasi is a master’s student at the University of Tehran, specializing in agronomy and plant breeding. His research primarily focuses on the biosynthesis and modulation of tropane alkaloids in plants, particularly in Datura stramonium L. (Jimsonweed).

Publication Top Notes: