Shanshan Chen | Data Analysis | Best Researcher Award

Dr. Shanshan Chen | Data Analysis | Best Researcher Award

Jilin Agricultural University, China

๐Ÿ‘จโ€๐ŸŽ“Professional Profile

Scopus Profile

๐Ÿง‘โ€๐Ÿซ Summary

Dr. Shanshan Chen is an Associate Professor at the College of Horticulture, Jilin Agricultural University, China. She specializes in facility vegetable cultivation physiology and disease-resistant breeding, with a focus on improving agricultural practices and enhancing crop resistance. Dr. Chen has led over 30 scientific projects, contributing to national and provincial research initiatives. Additionally, she has played a key role in developing agricultural standards and patents. As an educator, she teaches courses on horticultural plant breeding, soilless cultivation, and industrialized agriculture.

๐Ÿ‘ฉโ€๐ŸŽ“ Education

Dr. Shanshan Chen completed her Bachelor’s in Horticulture (2000-2004), Master’s in Vegetable Science (2004-2007), and PhD in Crop Cultivation and Farming Systems (2009-2015) at Jilin Agricultural University.

๐Ÿ’ผ Professional Experience

Since 2007, Dr. Chen has been an Associate Professor in Facility Agricultural Science and Engineering at Jilin Agricultural University, focusing on agricultural education, research, and development.

๐Ÿ“š Academic Citations

Dr. Chen has authored over 10 research papers, contributed to two new crop varieties, and applied for three utility model patents. She has also helped formulate numerous agricultural standards.

๐Ÿ› ๏ธ Technical Skills

Her expertise lies in facility vegetable cultivation physiology, disease-resistant breeding, and agricultural project management. Dr. Chen has been involved in pioneering agricultural practices and technologies.

๐Ÿ‘ฉโ€๐Ÿซ Teaching Experience

Dr. Chen has taught various courses, including Facility Agriculture, Horticultural Plant Breeding, and Advanced Horticultural Physiology. She has supervised national-level student entrepreneurial projects and won the Second Prize in the 2016 Classroom Teaching Competition for Young Teachers.

๐Ÿ”ฌ Research Interests

Her research focuses on facility vegetable cultivation physiology, disease-resistant breeding in crops like eggplant and spikenard, and developing advanced agricultural techniques to improve crop quality and efficiency.

ย ๐Ÿ“–Top Noted Publications
Study on the Diversity of Bacterial Communities in the Rhizosphere Soils of Different Wild Celery Species in Jilin Province
    • Authors: Chen, S., Zou, Y., Zhao, C., Zou, Y., Qiao, J.
    • Journal: Agronomy
    • Year: 2024
Effects of Different Combinations of Red and Blue Light on the Edible Organ Morphology and Quality of Buckwheat (Fagopyrum esculentum Moench) Microgreens
    • Authors: Qiao, J., Li, Z., Lv, Z., Chen, S., Feng, Y.
    • Journal: Agronomy
    • Year: 2024
Salicylic Acid Had the Potential to Enhance Tolerance in Horticultural Crops Against Abiotic Stress
    • Authors: Chen, S., Zhao, C.-B., Ren, R.-M., Jiang, J.-H.
    • Journal: Frontiers in Plant Science
    • Year: 2023
Transcriptome Analysis and Genetic Diversity of Allium victorialis Germplasms from the Changbai Mountains
    • Authors: Feng, B., Wang, X., Chen, S., Su, X., Song, S.
    • Journal: Mitochondrial DNA Part B: Resources
    • Year: 2021
Characterization of the Complete Chloroplast Genome of the Solanum tuberosum L. cv. Shepody (Solanaceae)
    • Authors: Chen, S., Zhao, Y., Zhang, J.-Y., Zhao, C.-B., Han, Y.Z.
    • Journal: Mitochondrial DNA Part B: Resources
    • Year: 2021

zahrasadat momeni | Game theory | Best Researcher Award

Mrs. zahrasadat momeni | Game theory | Best Researcher Award

Concordia University, Canada

๐Ÿ‘จโ€๐ŸŽ“Professional Profile

Google Scholar Profile

๐Ÿ“ Summary

Mrs. Zahrasadat Momeni is a Ph.D. candidate at Concordia University, Canada, specializing in Structural Control Engineering. With advanced expertise in bridge dynamics, seismic analysis, and control systems, she designs systems that enhance bridge resilience to seismic activity. Zahrasadatโ€™s approach combines cutting-edge software tools and AI/ML techniques to improve structural safety and performance.

๐ŸŽ“ Education

Zahrasadat holds a Ph.D. in Structural Control Engineering from Concordia University (2018โ€“Present). She also completed a Post Graduate Degree in AI & Machine Learning at Purdue University (2021โ€“2022). Prior to this, she earned her Masterโ€™s (2014โ€“2016) and Bachelorโ€™s (2008โ€“2013) degrees in Civil Engineering from Sharif University of Technology and K.N.T University of Technology, respectively.

๐Ÿ’ผ Professional Experience

At Concordia University, Zahrasadat works as a Research and Analysis Specialist in Bridge Dynamics and Seismic Design. She develops advanced models to assess bridge behavior under seismic conditions and designs control systems to reduce vibrations and increase resilience. Previously, at Sharif University, she worked as a Research Assistant, where she led the seismic analysis and finite element modeling of long-span bridges.

๐Ÿ“š Academic Citations

Her research on bridge control systems and seismic resilience has been cited in numerous civil engineering publications. Zahrasadat continues to contribute to the academic community with ongoing work on seismic design and structural control systems.

๐Ÿ’ป Technical Skills

Zahrasadat is proficient in structural analysis software such as SAP2000, ETABS, ABAQUS, CSiBridge, and MATLAB/Simulink. She is also skilled in Python programming and familiar with machine learning and data science tools like Jupyter Notebook and Visual Studio Code.

๐Ÿ‘ฉโ€๐Ÿซ Teaching Experience

As a research assistant and teaching collaborator at Concordia University, Zahrasadat has provided hands-on guidance in seismic design and bridge dynamics. She has also mentored students in the use of finite element analysis and structural control systems.

๐Ÿ”ฌ Research Interests

Zahrasadatโ€™s research interests focus on enhancing the seismic resilience of bridge structures through innovative control systems and AI/ML integration. She aims to improve bridge performance under dynamic loads and reduce the risk of collapse during seismic events.

 

๐Ÿ“–Top Noted Publications

Intelligent control methodology for smart highway bridge structures using optimal replicator dynamic controller

Authors: Z. Momeni, A. Bagchi
Journal: Civil Engineering Journal
Year: 2023

Multi-objective control optimization of isolated bridge using replicator controller and NSGA-II

Authors: Z. Momeni, A. Bagchi
Journal: Heliyon
Year: 2023

Optimal replicator dynamic controller for semi-active control of long span cable stayed bridge with considering special variability of seismic excitations

Authors: Z. Momeni, A. Bagchi
Journal: Structures
Year: 2023