Liu Changlai | Genetic Variation | Excellence Award (Any Scientific field)

Published on by Genetics and Genomics

Prof. Liu Changlai | Genetic Variation | Excellence Award 

Nanjing Forestry University | China

Prof. Liu Changlai is a graduate supervisor at Nanjing Forestry University and a distinguished scholar in plant molecular biology and bamboo science. His research centers on the regulation and applied processing of secondary metabolites in bamboo, alongside bamboo population genetics and functional gene development, integrating genomics, transcriptomics, and physiological approaches. Professor Liu has made significant contributions to understanding photosynthesis regulation, stress responses, and transcription factor families across bamboo and other plant species, with impactful studies published in leading journals such as Plants, Industrial Crops and Products, Forests, and Frontiers in Molecular Biosciences. His work spans fundamental gene identification to applied innovations, including medical bamboo product processing and stress-resilient crop improvement. Through sustained, high-quality research output and mentorship, Professor Liu continues to advance plant functional genomics and the sustainable utilization of bamboo resources.

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Nasrin Samadyar | Cancer Genetics | Research Excellence Award

Published on by Genetics and Genomics

Dr. Nasrin Samadyar | Cancer Genetics | Research Excellence Award

Kermanshah University of Technology, Kermanshah | Iran

Dr. Nasrin Samadyar, born on 17 June 1989 in Karaj, Alborz Province, Iran, is an Iranian applied mathematician specializing in numerical analysis, stochastic differential equations, and meshfree computational methods. She earned her BSc in Applied Mathematics from Kharazmi University, followed by an MSc from Amirkabir University of Technology and a PhD in Applied Mathematics (Numerical Analysis) from Malayer University, where her doctoral research focused on meshfree radial basis function methods for solving stochastic integral equations. She later completed a postdoctoral fellowship in Mathematics at Alzahra University, concentrating on numerical solutions of stochastic differential and partial differential equations. A dedicated educator, she has taught courses such as Numerical Analysis, Linear Optimization, Calculus, and Numerical Linear Algebra. Samadyar has authored numerous high-impact journal publications spanning stochastic integral equations, fractional models, operational matrix methods, wavelet techniques, and meshless approaches, contributing significantly to computational mathematics. She also serves as a reviewer for leading international journals, including the International Journal of Biomathematics, Journal of Computational and Applied Mathematics, Applied Mathematics and Computation, and Soft Computing. A member of Iran's National Elites Foundation, she has supervised graduate research on numerical and stochastic equation-solving techniques and participated in advanced mathematical projects, including implicit meshless methods for fractional stochastic Tricomi-type equations. Proficient in MATLAB, MAPLE, MATHEMATICA, LaTeX, and C++, Samadyar continues to advance research in applied and stochastic mathematics through rigorous analysis, innovative numerical schemes, and interdisciplinary applications.

Profiles: Scopus | Google Scholar

Featured Publications

"A new scheme for solving nonlinear Stratonovich Volterra integral equations via Bernoulli’s approximation, Appl", F. Mirzaee, N. Samadyar, S.F. Hosseini., 2025

"Euler polynomial solutions of nonlinear stochastic Ito-Volterra integral equations, J. Comput. Appl",F. Mirzaee, N. Samadyar, S.F. Hosseini., 2025

"Application of orthonormal Bernstein polynomials to construct a efficient scheme for solving fractional stochastic integro-differential equation, Optik Int. J. Light Electron Opt", F. Mirzaee, N. Samadyar., 2025

"Numerical solution of nonlinear stochastic Ito-Volterra integral equations driven by fractional Brownian motion, Math. Meth. Appl",F. Mirzaee, N. Samadyar., 2025

Chunbo Miao | DNA Sequencing | Best Researcher Award

Published on by Genetics and Genomics

Dr. Chunbo Miao | DNA Sequencing | Best Researcher Award

College of Agronomy, Henan Agricultural University | China

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🌾 Biography of Dr. Chunbo Miao 🌾

EARLY ACADEMIC PURSUITS 📚

Dr. Chunbo Miao's academic journey began with a Bachelor’s degree in Biotechnology from Southwest University (2002-2006). Her early focus on biotechnology laid the foundation for her future specialization. Following this, she pursued a Master’s degree in Genetics at Soochow University (2006-2009), where she honed her skills in genetic research. Her academic pursuit culminated with a Doctoral degree in Genetics from the Institute of Genetics and Developmental Biology, Chinese Academy of Sciences (2009-2014). This rigorous training enabled her to delve deeply into rice molecular biology, a field where she would later make significant contributions.

PROFESSIONAL ENDEAVORS 🏢

Dr. Miao’s professional career is marked by her dedication to advancing plant science:

  • Postdoctoral Researcher (2014-2017): Dr. Miao worked at the Shanghai Center for Plant Stress Biology and the Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences. Her research during this period focused on the molecular responses of plants under stress conditions.
  • Lecturer (2017-2019): At Zhejiang A&F University, she shared her knowledge and mentored budding scientists.
  • Distinguished Professor (2020-Present): Currently, Dr. Miao serves as a Distinguished Professor and Doctoral Supervisor at the College of Agronomy, Henan Agricultural University, where she continues her research and supervises doctoral candidates.

CONTRIBUTIONS AND RESEARCH FOCUS ON DNA SEQUENCING🌾

Dr. Miao specializes in rice molecular biology, with a research focus on:

  • Understanding the genetic mechanisms underlying rice growth and stress tolerance.
  • Developing innovative strategies to enhance crop resilience and productivity.

Her work bridges the gap between genetic theory and practical applications in agriculture, contributing to food security and sustainable farming practices.

IMPACT AND INFLUENCE 🌟

Dr. Miao's research in rice molecular biology has had a profound impact on both academia and the agricultural industry. By decoding genetic pathways, she has provided insights that aid in the development of robust rice varieties. Her work is particularly relevant in the context of global climate change, addressing the need for crops that can withstand environmental stressors.

ACADEMIC CITATIONS 📖

Dr. Miao's scholarly output includes numerous peer-reviewed publications that have been widely cited by researchers worldwide. Her work is recognized as a valuable resource in the field of plant molecular biology, contributing to advancements in genetics and agronomy.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

As a doctoral supervisor and distinguished professor, Dr. Chunbo Miao’s legacy lies in the scientists she mentors and the innovative solutions she develops for agricultural challenges. Looking ahead, her future contributions are expected to focus on:

  • Pioneering sustainable agricultural practices.
  • Training the next generation of geneticists.
  • Driving international collaborations in rice genetics research.

NOTABLE PUBLICATIONS 📑

"Engineering high-frequency apomixis with normal seed production in hybrid rice" 

  • Authors: Song, M. , Li, F. , Chen, Z. , Zhao, Q. , Miao, C.
  • Journal: Science
  • Year: 2024

"Current computational tools for protein lysine acylation site prediction" 

  • Authors: Qin, Z., Ren, H., Zhao, P., Wu, L., Chen, Z.
  • Journal: Briefings in Bioinformatics
  • Year: 2024

"SLAM: Structure-aware lysine β-hydroxybutyrylation prediction with protein language model" 

  • Authors: Qin, Z. , Liu, H. , Zhao, P. , Chen, Y.-Z. , Chen, Z.
  • Journal: International Journal of Biological Macromolecules
  • Year: 2024

"The miR167-OsARF12 module regulates rice grain filling and grain size downstream of miR159" 

  • Authors: Zhao, Y. , Zhang, X. , Cheng, Y. , Zhao, Q. , Peng, T.
  • Journal: Plant Communications
  • Year: 2023

"ResNetKhib: a novel cell type-specific tool for predicting lysine 2-hydroxyisobutylation sites via transfer learning" 

  • Authors: Jia, X., Zhao, P., Li, F., Chen, Z., Song, J
  • Journal: Briefings in Bioinformatics
  • Year: 2023