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

Ying-Chih Sun | Business Intelligence and Analytics | Best Researcher Award

Assist Prof Dr. Ying-Chih Sun | Business Intelligence and Analytics | Best Researcher Award

Assist Prof Dr. Ying-Chih Sun at East Central University, United States

๐Ÿ‘จโ€๐ŸŽ“Professional Profiles

๐Ÿ“š Summary

Dr. Ying-Chih Sun is an Assistant Professor of Business Administration โ€“ Information Technology Management at East Central University. With a Ph.D. in Information Systems Engineering and Management and a strong academic background in economics, data analytics, and IT management, his research focuses on AI applications in healthcare, telehealth, and supply chain management. He is passionate about integrating business analytics with IT solutions to improve operational efficiencies across industries.

๐ŸŽ“ Education

Dr. Sun holds a Ph.D. in Information Systems Engineering and Management (ISEM) from Harrisburg University of Science and Technology (2023), where he graduated with a perfect 4.0 GPA. He also earned M.S. degrees in Economics from the University at Buffalo (2018) and Texas A&M University (2010), and an M.B.A. in Applied Economics (Summa Cum Laude) from National Taiwan Ocean University (2005). He completed his undergraduate studies in International Trade at Tamkang University (2003).

๐Ÿ’ผ Professional Experience

Dr. Sun is currently serving as an Assistant Professor at East Central University, teaching courses in Business Economics, Data Analytics, and Cloud Management. Before this, he was an Assistant Professor in Residence at Bradley University (2023-2024), where he contributed to research and teaching in business analytics. He also worked as a Research Assistant at Harrisburg University (2019-2023), conducting research on telehealth and healthcare delivery. Previously, he served as an IT Research Data Analyst at SUNY Buffalo and held roles at the Institute of Economics, Academia Sinica and Tri-Service General Hospital in Taiwan.

๐Ÿ“ Academic Publications & Conferences

Dr. Sun has presented at major conferences like the DSI Conference 2024, AMCIS 2024, and MWAIS 2024. His research papers focus on a range of topics, including telehealth efficiency, AI in healthcare, digital reputation in business schools, and supply chain optimization. His recent work on “Evaluating Telehealth Efficiency” and “Enhancing Judicial Decision-Making with AI” exemplifies his interdisciplinary approach to solving complex business and healthcare challenges.

๐Ÿ’ป Technical Skills

Dr. Sun possesses advanced proficiency in data analytics tools like SQL, STATA, and Excel for statistical modeling and large data analysis. He is also familiar with Python and has hands-on experience in cloud management and telehealth technology. His technical skills enable him to approach research from both an analytical and technological perspective, focusing on improving efficiency in healthcare and business operations.

๐Ÿ‘จโ€๐Ÿซ Teaching Experience

Dr. Sun has extensive teaching experience, having taught courses at East Central University (2024-present) in Business Economics, Data Analytics, and Cloud Management. He previously taught at Bradley University (2023-2024), covering Business Analytics and Business Analytics Software. Additionally, during his time at SUNY at Buffalo (2015-2018), he served as a Grader and Teaching Assistant for various econometrics courses and contributed to graduate-level teaching in Computational Econometrics.

๐Ÿ”ฌ Research Interests

Dr. Sunโ€™s primary research interests lie at the intersection of AI, telehealth, and business analytics. He explores how data-driven decision-making can enhance healthcare delivery and operational efficiency, with a focus on telemedicine applications and the use of machine learning for healthcare and business management. His work on optimizing AI investments and supply chain management has important implications for improving cost-effectiveness and decision-making in businesses and healthcare systems.

 

๐Ÿ“– Top Noted Publications

A stochastic production frontier model for evaluating the performance efficiency of artificial intelligence investment worldwide

Authors: Sun, Y.-C., Cosgun, O., Sharman, R., Mulgund, P., Delen, D.
Journal: Decision Analytics Journal
Year: 2024

The impact of policy and technology infrastructure on telehealth utilization

Authors: Sun, Y.-C., Cosgun, O., Sharman, R.
Journal: Health Services Management Research
Year: 2024

The Effect of Varying User Risk Levels on Perceived Social Presence in Mental Health Chatbots

Authors: Thimmanayakanapalya, S.S., Singh, R., Mulgund, P., Sun, Y.-C., Sharman, R.
Conference: 29th Annual Americas Conference on Information Systems (AMCIS 2023)
Year: 2023

Sogand Dehghan | social network analysis | Best Innovation Award

Ms. Sogand Dehghan | social network analysis | Best Innovation Award

Ms. Sogand Dehghan at K. N. Toosi University of Technology, Iran

๐Ÿ‘จโ€๐ŸŽ“Professional Profiles

Orcid Profile

Google Scholarย  Profile

๐Ÿ‘ฉโ€๐Ÿ’ป Summary

Ms. Sogand Dehghan an Information Technology specialist with expertise in data analysis and software development. My work primarily focuses on collecting, cleaning, and analyzing data from various sources to create actionable reports and dashboards for organizational decision-making. I am passionate about using data-driven strategies to help businesses achieve their goals, with a particular interest in social media analysis and its alignment with organizational objectives. Additionally, I enjoy developing data-driven software solutions that enhance operational efficiency.

๐ŸŽ“ Education

Ms. Sogand Dehghan earned my Master’s Degree in Information Technology from K.N. Toosi University of Technology (2019-2022) and my Bachelor’s Degree in Information Technology with a grade of 97% from Payame Noor University (2012-2016). My thesis, titled “Provision of an Efficient Model for Evaluation of Social Media Users Using Machine Learning Techniques,” focused on leveraging machine learning to assess social media engagement and user behavior.

๐Ÿ’ผ Professional Experience

Ms. Sogand Dehghan currently hold two key roles: as an Instructor at National Skills University, where I teach courses on Advanced Programming and Data Analysis (since Sep 2024), and as a Data Analyst at GAM Arak Industry, where I focus on data mining, machine learning, and visualizing data insights using tools like Power BI, Python, SQL Server, and SSRS (since Jan 2024). Additionally, I serve as a Software Developer at GAM Arak Industry, working with C#, ASP.NET Core, and SQL Server to build scalable software solutions (since Apr 2023). In my previous role at Kherad Sanat Arvand (Apr 2022 – Jun 2023), I honed my skills in data analysis and dashboard development.

๐Ÿ“š Academic Citations

My research has been published in prestigious journals. My paper, “The Credibility Assessment of Twitter Users Based on Organizational Objectives,” was published in Computers in Human Behavior (Sep 2024), where I developed a model for assessing the credibility of Twitter users by integrating profile data with academic sources like Google Scholar. Another notable publication, “The Evaluation of Social Media Usersโ€™ Credibility in Big Data Life Cycle,” appeared in the Journal of Information and Communication Technology (Sep 2023), in which I reviewed existing frameworks for evaluating social media user credibility.

๐Ÿ”ง Technical Skills

My technical skill set includes expertise in C#, ASP.NET, Python, and SQL Server for software development. I specialize in Data Visualization with Power BI, Data Mining, Machine Learning, and Social Network Analysis. Additionally, I have a solid foundation in Text Mining and Data Modeling, which enables me to provide comprehensive solutions for data-driven challenges in various organizational contexts.

๐Ÿ‘จโ€๐Ÿซ Teaching Experience

As an Instructor at National Skills University, I teach Advanced Programming and Data Analysis. I focus on equipping students with the skills needed to thrive in the data-driven world of technology. My approach integrates real-world data problems with theoretical knowledge to help students apply their learning in practical scenarios.

๐Ÿ” Research Interests

My research interests lie in the intersection of Machine Learning and Social Network Analysis. I am particularly interested in developing models to evaluate social media user credibility, integrating heterogeneous data sources for organizational decision-making, and exploring the broader implications of big data in evaluating trust and influence within social networks.

 

Konei Emangbondji Hounsou | Drug Development | Best Researcher Award

Mr. Konei Emangbondji Hounsou | Drug Development | Best Researcher Award

Mr. Konei Emangbondji Hounsou at Pan African University Life and Earth Sciences Institute (including Health and Agriculture), University of Ibadan, Nigeria

ย Profile๐Ÿ‘จโ€๐ŸŽ“

ย Early Academic Pursuits ๐ŸŽ“

Mr. Koneั— Emangbondji Hounsou began his academic journey with a solid foundation in life and earth sciences. He obtained his High School Diploma in Biology-Geology in 2017 and followed it with a National Diploma in General Education of Science in 2014. His undergraduate studies culminated in a Bachelor of Science in Natural Sciences from the National High School of Applied Biosciences and Biotechnologies (ENSBBA) in 2020, where he achieved an upper division grade. This educational background laid the groundwork for his advanced studies.

Professional Endeavors ๐Ÿ”ฌ

In 2024, Hounsou earned his Master of Science in Medicinal Plants Research and Drug Development from the Pan African University Life and Earth Sciences Institute, achieving First Class Honors with a GPA of 4.7/5. His thesis focused on developing a synergy-based extract aimed at enhancing learning and memory, reflecting his commitment to innovative research in the field of medicinal plants.

Hounsou has actively engaged in various volunteering positions, including service at the STEM Showcase and research roles at the International Institute of Tropical Agriculture (IITA) in Nigeria and Benin. His experiences range from managing tissue culture experiments to working as a research assistant on pest breeding and biological control.

Contributions and Research Focus ๐ŸŒฟ

Hounsouโ€™s research interests are centered on medicinal plants, natural product chemistry, and the modernization of traditional medicine. His work emphasizes drug discovery and the development of innovative pharmacological solutions through rigorous chemical investigations. He has contributed to significant publications, including articles exploring the antioxidant potential of combined extracts and the implications of climate change on medicinal plants.

Impact and Influence ๐ŸŒ

Through his research and professional experiences, Hounsou aims to make a substantial impact in the field of medicinal plant research. His dedication to innovation and collaboration positions him as a valuable contributor to both academia and practical applications in health sciences. His leadership roles in community and student organizations reflect his commitment to fostering growth and collaboration among peers.

Academic Citations ๐Ÿ“š

Mr. Koneั— Emangbondji Hounsou has made significant contributions to the field of medicinal plant research through his published works. Notably, he co-authored the article titled “Climate change and the future of medicinal plants research,” published in Bioactive Compounds in Health and Disease in 2024, which explores the impact of climate change on medicinal plants and their importance in future research directions. This publication is accompanied by another under peer review, focusing on the “Antioxidant Potential and Phytochemical Constituents of a Synergy Based-Combined Extract” from various medicinal plants. Furthermore, Hounsou’s thesis work, “Development and Assessment of a Synergy-Based Combined Extracts of Spondias mombin, Spilanthes filicaulis, and Piper guineense for Learning and Memory Enhancement,” is also currently under peer review, highlighting his commitment to advancing knowledge in the area of drug development from natural sources. These citations underscore his active role in contributing to academic discourse and innovation in the medicinal plant field.

Technical Skills ๐Ÿ› ๏ธ

Hounsou possesses a diverse set of technical skills vital for research and academic success. He is proficient in:

  • Laboratory Techniques: Ethnobotanical knowledge, phytochemical analysis, cytotoxicity assays, and plant tissue culture.
  • Software Proficiency: Microsoft Office Suite, analysis software (Graphpad, Stata), and reference management tools (Zotero, Mendeley).
  • Languages: Fluent in both French and English, enhancing his ability to communicate effectively in diverse environments.

Teaching Experience ๐Ÿ‘ฉโ€๐Ÿซ

While specific teaching roles are not detailed in his profile, Hounsouโ€™s involvement in research assistance and his leadership in student organizations indicate a foundation for future teaching endeavors. His strong communication and interpersonal skills suggest he would excel in educational settings, sharing knowledge and fostering student engagement.

Legacy and Future Contributions ๐ŸŒฑ

Looking ahead, Hounsou aims to continue his journey in research and academia, focusing on the integration of traditional medicine with modern scientific approaches. His passion for innovative research and dedication to community involvement will undoubtedly shape his future contributions. As he advances his career, he seeks to inspire future generations of researchers and make meaningful advancements in the field of medicinal plants.

 

Top Noted Publication ๐Ÿ“–

ย Climate change and the future of medicinal plants research
  • Author(s): Emangbondji Koneรฏ Hounsou, Mubo Adeola Sonibare, Taiwo Olayemi Elufioye
    Journal: Bioactive Compounds in Health and Disease
    Year: 2024