Lei Wang | Quantitative Social Science Research | Best Researcher Award

Prof. Lei Wang | Quantitative Social Science Research | Best Researcher Award

International Business School, China

Author Profiles

Orcid

Scopus

๐Ÿ“š Summary

Prof. Lei Wang is a distinguished academic in the field of economics, with a strong focus on early childhood development, education, and rural development. He holds a professorship at the International Business School of Shaanxi Normal University and has contributed significantly to the academic community. Prof. Wangโ€™s academic journey also includes being a visiting scholar at renowned institutions like Stanford University and Cornell University, engaging in global research collaborations. His work primarily focuses on the intersection of economics and education, especially in rural China.ย 

๐ŸŽ“ Education

Prof. Wang completed his Ph.D. in Economics at Xiโ€™an Jiaotong University in 2006, following his M.A. in Economics from the same university in 2002. He also holds a B.A. in History from Northwest University, which gives him a broad interdisciplinary perspective in his academic pursuits.ย 

๐Ÿ’ผ Professional Experience

Prof. Wangโ€™s professional journey spans roles in teaching, research, and administration. He has served as a Professor at the International Business School, Shaanxi Normal University since 2019, after being an Associate Professor there from 2010 to 2019. In addition to his academic roles, he has been a visiting scholar at esteemed institutions like Stanford University (2010-2011) and Cornell University (2024-2025). Furthermore, Prof. Wang contributed as Deputy Director of the International Affairs Office at his university from 2009 to 2016, fostering international collaborations.ย 

๐Ÿ“ Academic Contributions

Prof. Wang has significantly contributed to research in early childhood development and rural education. He is an active reviewer for several top-tier journals such as Journal of Development Economics, World Development, and China Economic Review. His research on the effects of parental involvement on child development outcomes in rural China has garnered attention in the academic community.ย 

๐Ÿ–ฅ๏ธ Technical Skills

Prof. Wang is highly skilled in economic research methods, statistical analysis, and econometrics. His technical expertise enables him to design complex research projects and evaluate development programs. He is proficient in data analysis software and academic databases, allowing him to conduct comprehensive studies on various economic and educational issues.ย 

๐Ÿ‘จโ€๐Ÿซ Teaching Experience

Prof. Wang brings years of experience to the classroom, having taught undergraduate and graduate courses in economics and business. He has developed English-based programs focused on financial management and economic development. His dedication to teaching is evident in his curriculum development and his role in mentoring students, preparing them for future careers in the field.ย 

๐Ÿ”ฌ Research Interests

Prof. Wangโ€™s research primarily explores early childhood development, with a focus on rural China. His studies investigate the effects of parental involvement, parenting styles, and school nutrition programs on child development. He is also engaged in policy research on rural education, economic development, and public health interventions. His ongoing work continues to shape our understanding of rural development in China.ย 

 

Top Noted Publications ๐Ÿ“–

Impact of Parental Beliefs on Child Developmental Outcomes: A Quasi-Experiment in Rural China

Authors: Lei Wang, Conghong Yang, Dingjing Jiang, Qi Jiang, Scott Rozelle

Journal: International Journal of Environmental Research and Public Health

Year: 2022

Improving learning by improving vision: evidence from two randomized controlled trials of providing vision care in China

Authors: Ma, X.; Wang, H.; Shi, Y.; Sylvia, S.; Wang, L.; Qian, Y.; Rozelle, S.

Journal: Journal of Development Effectiveness

Year: 2021

The effective prevention program at 1 hospital in China during the COVID-19 epidemic

Authors: Wang, H.; Sun, K.; Wang, L.; Zhang, K.; Tang, Q.

Journal: Disaster Medicine and Public Health Preparedness

Year: 2021

Trajectories of child cognitive development during ages 0โ€“3 in rural Western China: prevalence, risk factors and links to preschool-age cognition

Authors: Wang, L.; Chen, Y.; Sylvia, S.; Dill, S.-E.; Rozelle, S.

Journal: BMC Pediatrics

Year: 2021

Seeing is believing: Experimental evidence on the impact of eyeglasses on academic performance, aspirations, and dropout among junior high school students in rural China

Authors: Nie, J.; Pang, X.; Wang, L.; Rozelle, S.; Sylvia, S.

Journal: Economic Development and Cultural Change

Year: 2020

fuyou guo | Behavioral Economics Research | Best Scholar Award

Assoc Prof Dr. fuyou guo | Behavioral Economics Research | Best Scholar Award

Qufu Normal University, China

Author Profile

Orcid

๐ŸŽ“ Early Academic Pursuits

Assoc Prof Dr. Fuyou Guo began his academic journey with a deep interest in economics, specifically the behavioral aspects that influence decision-making processes. His early academic years were spent at [university name], where he obtained his undergraduate and graduate degrees in economics. It was during his studies that Dr. Guo developed a keen interest in understanding how psychological factors shape economic choices, which laid the groundwork for his future research in behavioral economics.

๐Ÿ’ผ Professional Endeavors

After completing his studies, Dr. Guo entered the professional world, initially engaging in research roles that allowed him to delve deeper into the intricacies of behavioral decision-making. His professional trajectory took a significant turn when he joined Qufu Normal University, where he is currently an associate professor. His transition from theory to application in the context of behavioral economics has allowed him to bridge the gap between academic research and real-world economic phenomena, shaping policies and practices.

๐Ÿ” Contributions and Research Focus

Dr. Guoโ€™s primary research interest lies in behavioral economics, where he explores how psychological insights can inform and explain economic decision-making. His research examines cognitive biases, social preferences, and individual behaviors that deviate from traditional economic models. By combining insights from psychology with economic theory, Dr. Guo has contributed to a better understanding of how people make financial decisions, engage in market behaviors, and respond to incentives in various contexts. His work often involves the use of experimental methods, aiming to test theoretical predictions against real-world behavior.

๐ŸŒ Impact and Influence

As a respected figure in the field of behavioral economics, Dr. Guoโ€™s research has had a profound impact on both academic circles and practical applications. His work has been cited extensively in behavioral economics journals and by scholars exploring the intersection of psychology and economics. Through his research, Dr. Guo has influenced policymakers, businesses, and financial institutions in understanding consumer behavior and improving market outcomes. His insights have shaped strategies in consumer protection, market regulation, and public policy, where understanding irrational behavior is crucial.

๐Ÿ“‘ Academic Cites

Dr. Guo has authored numerous influential papers in behavioral economics, with his work being cited by scholars worldwide. His research on has appeared in high-impact journals, further cementing his reputation as a thought leader in his field. The consistent citation of his work reflects the practical importance and academic value of his contributions to the understanding of human behavior in economic contexts.

๐Ÿ–ฅ๏ธ Technical Skills

Dr. Guoโ€™s technical expertise includes proficiency in advanced data analysis techniques, such as econometrics, experimental design, and statistical modeling. He is skilled in using tools such as R, Stata, and SPSS for analyzing behavioral data. His ability to design and conduct laboratory and field experiments has been instrumental in testing behavioral theories and uncovering new insights into how people make economic decisions. His technical skills are crucial in providing empirical evidence that supports or challenges existing economic models.

๐Ÿ‘จโ€๐Ÿซ Teaching Experience

Dr. Guo has a wealth of teaching experience at Qufu Normal University, where he has instructed a variety of courses in economics, particularly focusing on behavioral economics, microeconomics, and decision theory. His teaching methodology combines theoretical foundations with real-world applications, ensuring students not only understand core principles but also the relevance of economics in everyday decision-making. Dr. Guo encourages critical thinking, problem-solving, and active engagement with the material. His dedication to student development is reflected in his guidance to graduate students working on research projects related to behavioral economics.

๐ŸŒŸ Legacy and Future Contributions

Dr. Guoโ€™s legacy in behavioral economics is defined by his innovative approach to understanding human decision-making. His pioneering work has not only contributed to the academic body of knowledge but has also influenced policy, market design, and business strategy. As behavioral economics continues to grow as a field, Dr. Guo is poised to remain at the forefront, exploring new areas of research such as behavioral finance, social welfare, and global economic development. His future contributions will likely further transform the way economists, policymakers, and businesses understand human behavior, ensuring his enduring impact on both the academic community and broader society.

๐Ÿš€ Future Directions

Looking ahead, Dr. Guo plans to expand his research into new dimensions of behavioral economics, focusing on topics such as digital decision-making, neuroscience and economics, and sustainability in economic behavior. His work in these areas could have significant implications for how markets evolve in response to rapidly changing technology and global challenges. Through collaboration with international scholars and institutions, Dr. Guo is likely to continue pushing the boundaries of the field and creating new opportunities for interdisciplinary research.

 

Top Noted Publications ๐Ÿ“–

Intensity of Tourism Economic Linkages in Chinese Land Border Cities and Network Characterization

Authors: Jing Gan, Dongxue Zhang, Fuyou Guo, Erwei Dong

Journal: Sustainability

Year: 2024

Spatial Differentiation of Digital Rural Development and Influencing Factors in the Yellow River Basin, China

Authors: Jiamin Ren, Chenrouyu Zheng, Fuyou Guo, Hongbo Zhao, Shuang Ma, Yu Cheng

Journal: International Journal of Environmental Research and Public Health

Year: 2022

Spatio-temporal Differentiation and Driving Factors of Industrial Ecology of Restricted Development Zone from Adaptive Perspective: A Case Study of Shandong, China

Authors: Fuyou Guo, Siqi Gao, Lianjun Tong, Fangdao Qiu, Hengzhou Yan

Journal: Chinese Geographical Sciences

Year: 2021

Eco-Province Construction Performance and Its Influencing Factors of Shandong Province in China: From Regional Eco-Efficiency Perspective

Authors: Zhengju Jiang, Fuyou Guo, Cai Liping, Xiaoxiao Li

Journal: Sustainability

Year: 2021

Endalkachew Etana | Statistical analysis | Editorial Board Member

Mr. Endalkachew Etana | Statistical analysis | Editorial Board Member

Mattu University, Ethiopia
Author Profile

Orcidย 

๐ŸŽ“ Early Academic Pursuits

Mr. Endalkachew Etanaโ€™s academic journey started at Mizan Tepi University in Ethiopia, where he obtained his BSc in Chemistry (2012-2014) with a CGPA of 3.72. He further advanced his education with an MSc in Analytical Chemistry from Ambo University (2019-2021), achieving a CGPA of 3.90. These foundational years shaped his career in analytical and instrumental chemistry, setting the stage for his future contributions to the field.

๐Ÿ‘จโ€๐Ÿซ Teaching Experience

With extensive teaching experience, Mr. Etana has imparted knowledge across several critical chemistry courses, including Analytical Chemistry, Instrumental Analysis, and Environmental Chemistry. He has also taught practical modules in Instrumental Analysis and Real Sample Analysis. His commitment to high-quality education is evident in his involvement in curriculum development and laboratory manual preparation, ensuring students receive a hands-on and comprehensive learning experience.

๐Ÿ… Professional Endeavors & Committee Involvement

Mr. Etana has actively participated in various professional committees, including serving as the Analytical Chemistry Stream Leader. His roles in staff development, recruitment, laboratory installations, and curriculum reviews highlight his leadership in improving academic standards. These contributions demonstrate his dedication to fostering a thriving academic community within his institution.

๐Ÿ”ฌ Contributions and Research Focus

Mr. Etanaโ€™s research contributions primarily focus on analytical chemistry, environmental issues, and health risks. His work includes the analysis of trace heavy metals in Ethiopian white sugar products, the development of greener microextraction methods for pesticide residue analysis, and the evaluation of potentially toxic elements in agricultural soils. His ongoing projects, such as assessing radionuclides and heavy metals in soil samples, continue to drive innovation in analytical methodologies and environmental safety.

๐ŸŒ Impact and Influence

The impact of Mr. Etanaโ€™s work extends beyond academic circles. His research on heavy metals, environmental pollutants, and food safety influences public health policies in Ethiopia. His published articles in leading journals like the Journal of Agriculture and Food Research and the Chinese Journal of Analytical Chemistry shape the discourse on environmental and health risks, particularly in the context of Ethiopian agriculture. His findings aim to improve the quality of life through safer food products and cleaner environments.

๐Ÿ“š Academic Cites and Publications

Mr. Etanaโ€™s research has been widely published, with notable contributions in peer-reviewed journals. His work includes studies on the human health risk assessments of heavy metals in Ethiopian sugar products, the development of microextraction methods for pesticide residues, and evaluating toxic elements in agricultural soils. His articles have contributed significantly to the body of knowledge on food safety and environmental health.

๐Ÿ› ๏ธ Technical Skills

Mr. Etana is highly skilled in a variety of technical tools essential for research and teaching. These include proficiency in basic computer applications (MS Word, Excel, PowerPoint), Mendeley for reference management, and SPSS for statistical data analysis. His strong laboratory skills further enhance his research capabilities, making him well-equipped to conduct sophisticated scientific investigations.

๐ŸŒ Legacy and Future Contributions

Mr. Etanaโ€™s academic legacy is rooted in his commitment to advancing analytical chemistry and its applications in environmental health. His ongoing research into the optimization of extraction methods for caffeine in Ethiopian products and the study of heavy metal contamination continues to have far-reaching implications. As he continues to lead research projects, his work will contribute significantly to the field of environmental chemistry and the sustainability of agricultural practices in Ethiopia.

๐Ÿ… Awards and Conference Presentations

Mr. Etana has been recognized for his scholarly contributions, including winning the Best Paper Award at the international SIST-SHE 22 conference in India. He also participated in the 6th Annual National Research Conference at Mattu University in Ethiopia, where he presented on the integration of research with indigenous knowledge. These accolades reflect the high regard in which his work is held in the scientific community.

๐Ÿ“œ Short-term Courses & Certifications

Mr. Etana demonstrates a commitment to continuous professional development by completing certifications in various fields. Notably, he has completed courses in Data Analysis Fundamentals and Artificial Intelligence Fundamentals, underscoring his dedication to staying current with the latest technological advancements and integrating them into his research and teaching.

 

๐Ÿ“– Top Noted Publications

Evaluation of some physicochemical parameters and health risks associated with potentially toxic elements (PTEs) in agricultural soils from the southwest region of Ethiopia

Authors: Endalkachew Etana, Redwan Hussein, Abire Huluka
Journal: Journal of Hazardous Materials Advances
Year: 2025

A development in greener microextraction methods for analysis of pesticide residues in environmental water samples: A review

Authors: Endalkachew Etana, Birhanu MEKASSA
Journal: Chinese Journal of Analytical Chemistry
Year: 2024

Proximate analysis, levels of trace heavy metals and associated human health risk assessments of Ethiopian white sugars

Authors: Birhanu Mekassa, Endalkachew Etana, Lemessa B. Merga
Journal: Journal of Agriculture and Food Research
Year: 2024

Yanjie Zhu | Algorithm Development | Best Researcher Award

Prof. Yanjie Zhu | Algorithm Development | Best Researcher Award

Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China

๐Ÿ‘จโ€๐ŸŽ“Professional Profiles

๐Ÿ”ฌ Summary

Prof. Yanjie Zhu is a renowned expert in fast magnetic resonance imaging (MRI) and its applications in medical diagnostics. He specializes in developing innovative imaging techniques through machine learning, deep learning, and model-driven methods. As a Professor at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, he leads cutting-edge research projects focused on cardiovascular imaging, brain health, and intelligent diagnostic tools.

๐ŸŽ“ Education

Prof. Zhu earned his Ph.D. in Circuits and Systems from the Shanghai Institute of Technical Physics, Chinese Academy of Sciences, China (2006-2011). He also holds a B.S. in Electronic Engineering and Information Science from the University of Science and Technology of China, Hefei (2002-2006).

๐Ÿซ Professional Experience

Prof. Zhu has a distinguished academic career at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, where he progressed from Assistant Professor (2011-2015) to Associate Professor (2015-2020), and is currently a Professor (2020-present). Additionally, he served as a Visiting Scholar (2017-2018) at Harvard Medical School and Beth Israel Deaconess Medical Center, Boston, MA, under the guidance of Reza Nezafat.

๐Ÿ“š Academic Contributions

Prof. Zhu has published several impactful papers in the field of MRI and medical imaging. Notable works include:

  • “Online reconstruction of fast dynamic MR imaging using deep low-rank plus sparse network,” IEEE CBMS, 2022.
  • “k-space based reconstruction method for wave encoded bSSFP sequence,” CECIT, 2021.
  • “Quantification of pectinate muscles inside left atrial appendage from CT images using fractal analysis,” ICMIPE, 2021.
  • Myocardial Edema Imaging – A Comparison of Three Techniques, ISMRM 2018 (Power Pitch, Magna Cum Laude Merit Award).

๐Ÿ” Research Interests

Prof. Zhuโ€™s research interests revolve around model-driven fast MRI techniques, generative model-based adaptive MRI methods, and diffusion tensor and edema imaging for myocardial and brain tissue. He is also focused on intelligent diagnosis for the early detection of stroke-related plaques and other cardiovascular conditions.

๐Ÿ’ป Technical Skills

Prof. Zhu is highly skilled in MRI imaging techniques, including fast MRI, cardiac MRI, and brain MRI. He also excels in deep learning and AI-based image reconstruction methods, along with proficiency in medical imaging software and model-driven approaches. His expertise in data analysis and computational methods has contributed to advancing medical applications.

๐Ÿ‘จโ€๐Ÿซ Teaching Experience

Throughout his career, Prof. Zhu has mentored and taught graduate students and professionals in the fields of MRI technology, medical imaging, and computational healthcare methods. His research-driven approach has helped develop comprehensive educational materials that support the training of professionals in advanced imaging systems.

๐Ÿ“–Top Noted Publications

RS-MOCO: A deep learning-based topology-preserving image registration method for cardiac T1 mapping

Authors: Chiyi Huang, Longwei Sun, Dong Liang, Haifeng Liang, Hongwu Zeng, Yanjie Zhu
Journal: Computers in Biology and Medicine
Year: 2024

High-Frequency Space Diffusion Model for Accelerated MRI

Authors: Chentao Cao, Zhuo-Xu Cui, Yue Wang, Shaonan Liu, Taijin Chen, Hairong Zheng, Dong Liang, Yanjie Zhu
Journal: IEEE Transactions on Medical Imaging
Year: 2024

SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI

Authors: Zhuo-Xu Cui, Chentao Cao, Yue Wang, Sen Jia, Jing Cheng, Xin Liu, Hairong Zheng, Dong Liang, Yanjie Zhu
Journal: IEEE Transactions on Medical Imaging
Year: 2024

A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection

Authors: Wenxin Wang, Zhuo-Xu Cui, Guanxun Cheng, Chentao Cao, Xi Xu, Ziwei Liu, Haifeng Wang, Yulong Qi, Dong Liang, Yanjie Zhu
Journal: IEEE Journal of Biomedical and Health Informatics
Year: 2024

High efficiency free-breathing 3D thoracic aorta vessel wall imaging using self-gating image reconstruction

Authors: Caiyun Shi, Congcong Liu, Shi Su, Haifeng Wang, Xin Liu, Hairong Zheng, Dong Liang, Yanjie Zhu
Journal: Magnetic Resonance Imaging
Year: 2024

Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging

Authors: Yanjie Zhu, Jing Cheng, Zhuo-Xu Cui, et.al.
Journal: IEEE Signal Processing Magazine
Year: 2023

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

Kirsten Tolstrup | medicine | Best Researcher Award

Dr. Kirsten Tolstrup | Medicine | Best Researcher Award

Doctorate at UCSF School of Medicine, United States

๐Ÿ‘จโ€๐ŸŽ“Professional Profile

๐Ÿ‘ฉโ€โš•๏ธ Summary

Dr. Kirsten Tolstrup is a distinguished cardiologist with extensive experience in cardiovascular disease, adult comprehensive echocardiography, and womenโ€™s heart health. With certifications in Internal Medicine, Cardiovascular Disease, and Echocardiography, she has held leadership roles at prominent institutions such as UCSF, Cedars-Sinai, and UNM. She is currently the Associate Chief of Cardiology at UCSF and serves as the Interim Medical Director of the HVC in the Division of Cardiology.

๐ŸŽ“ Education

Dr. Tolstrup completed her MD at the University of Copenhagen, Denmark, in 1993. She holds a BS from the University of Copenhagen, obtained in 1988. She pursued her Internal Medicine Residency at USC-LAC Medical Center in Los Angeles (1995-1998) and completed a Cardiovascular Medicine Fellowship at the UNM Health Sciences Center in Albuquerque (1998-2001).

๐Ÿ’ผ Professional Experience

Throughout her career, Dr. Tolstrup has held key roles, including Associate Chief of Cardiology at UCSF (2020-present), Medical Director of the Heart Station and Echo Laboratory at UNM (2012-2016), and Director of the Cardiac Non-invasive Stress Laboratory at Cedars-Sinai (2009-2012). She has also served as an Associate Clinical Professor at UCLA and Professor of Medicine at UCSF.

๐Ÿ“š Academic Citations

Dr. Tolstrup has made significant academic contributions, authoring chapters in notable medical texts such as Current Diagnosis and Treatment in Cardiology and The Ultimate Echo Guide. She has contributed to clinical guidelines on the use of echocardiography for cardiac embolism and heart disease in pregnancy.

๐Ÿ› ๏ธ Technical Skills

She is highly skilled in adult comprehensive echocardiography and non-invasive cardiovascular imaging, with expertise in cardiac diagnostics and advanced echocardiographic techniques. Her technical proficiency also extends to cardiovascular risk assessment and imaging.

๐Ÿ‘ฉโ€๐Ÿซ Teaching Experience

Dr. Tolstrup has shared her knowledge through teaching roles, including as a Teaching Associate at UCLA and Professor of Medicine at UCSF. She also served as an Instructor/Master at Dynamic Taekwondo Academy and remains actively involved in mentoring and instructing future cardiologists.

๐Ÿ”ฌ Research Interests

Her research interests focus on cardiovascular imaging, particularly in the areas of womenโ€™s heart health, aortic diseases, and heart failure. Dr. Tolstrup is dedicated to advancing the clinical applications of echocardiography and understanding cardiovascular risks across diverse populations.

๐Ÿ“–Top Noted Publications

Very low prevalence and incidence of atrial fibrillation among Bolivian forager-farmers

Authors: Rowan, C.J., Eskander, M.A., Seabright, E., Kaplan, H.S., Gurven, M.D.
Journal: Annals of Global Health
Year: 2021

Update on Bicuspid Aortic Valve Syndrome: Patient Selection and Therapies in 2020

Authors: Anderson, D., Grober, A., Mahadevan, V., Tolstrup, K.
Journal: Current Treatment Options in Cardiovascular Medicine
Year: 2020

The clinical application of the ratio of transmitral early filling velocity to early diastolic strain rate: a systematic review and meta-analysis

Authors: Lassen, M.C.H., Olsen, F.J., Skaarup, K.G., Gislason, G., Biering-Sรธrensen, T.
Journal: Journal of Echocardiography
Year: 2020

ย A Case-Based Discussion on the Management of Cryptogenic Stroke and Patent Foramen Ovale in the Patient With a Hypercoagulable Disorder

Authors: Gerstein, N.S., Clegg, S.D., Levin, D.B., Yoshida, Y., Homma, S.
Journal: Journal of Cardiothoracic and Vascular Anesthesia
Year: 2019

Ratio of transmitral early filling velocity to early diastolic strain rate predicts long-term risk of cardiovascular morbidity and mortality in the general population

Authors: Lassen, M.C.Hรธ., Biering-Sรธrensen, S.R., Olsen, F.J., Jensen, J.S., Biering-Sรธrensen, T.
Journal: European Heart Journal
Year: 2019

Guidelines for the Use of Echocardiography in the Evaluation of a Cardiac Source of Embolism

Authors: Saric, M., Armour, A.C., Arnaout, M.S., Michelena, H.I., Tolstrup, K.
Journal: Journal of the American Society of Echocardiography
Year: 2016

Shubing Dai | Algorithm Development | Best Researcher Award

Prof. Shubing Dai | Algorithm Development | Best Researcher Award

Prof. Shubing Dai at Northwest A&F University, China

Professional Profile๐Ÿ‘จโ€๐ŸŽ“

๐Ÿ‘จโ€๐Ÿซ Summary

Prof. Shubing Dai is an Associate Professor at Northwest A&F University, specializing in Hydraulic Engineering. With a background in Hydraulics and River Dynamics, he has published over 20 research papers and actively participated in over 20 research projects. His work primarily focuses on urban flood management, hydraulic structures, and water flow dynamics. He is also an active member of key professional organizations, including the China Society for Hydroelectric Engineering and the International Association for Hydro-Environment Engineering and Research (IAHR).

๐ŸŽ“ Education

Prof. Dai began his academic career at Northwest A&F University, where he earned his Bachelor’s (2008โ€“2012) and Master’s (2012โ€“2015) degrees in Hydraulic and Hydroelectric Engineering. He then pursued a Ph.D. in Hydraulics and River Dynamics at Dalian University of Technology (2016โ€“2021). Additionally, he worked as a visiting scholar at the University of La Coruรฑa in Spain (2024).

๐Ÿ’ผ Professional Experience

Prof. Dai has extensive professional experience, both in academia and industry. He currently serves as an Associate Professor at Northwest A&F University and the Department Secretary of the Hydraulic Engineering Department. He also previously worked as an Assistant Engineer at the Changjiang Survey, Planning, and Design Institute (2015โ€“2016), contributing to several major hydropower and hydraulic engineering projects.

๐Ÿ“š Academic Contributions

Prof. Dai is an active contributor to the academic community, serving as a reviewer for several leading journals such as Journal of Hydrology and Physics of Fluids. He also serves as an editorial board member for an international journal. His research focuses on water resources, hydraulic structures, and flow dynamics, with over 20 published papers and several high-impact research projects.

๐Ÿ”ง Technical Skills

Prof. Dai has developed a range of technical skills, including:

  • Hydraulic Engineering: Focus on energy dissipation and optimization of flood discharge systems.
  • Urban Flooding & Drainage: Expertise in urban drainage system design, stormwater management, and flood mitigation.
  • Flow Dynamics: Proficient in Computational Fluid Dynamics (CFD) and non-steady flow simulations for hydraulic applications.
  • Hydropower Engineering: In-depth research on dam-break flood modeling, hydraulic structures, and their interactions with water flow.

๐Ÿ‘ฉโ€๐Ÿซ Teaching Experience

As a dedicated educator, Prof. Dai mentors master’s students and teaches courses on fluid dynamics, hydraulic modeling, and water resource management. He is also responsible for the administration of the Water Resources and Hydroelectric Engineering department at Northwest A&F University, playing a key role in curriculum development and academic planning.

๐Ÿ”ฌ Research Interests

Prof. Daiโ€™s research interests are focused on:

  • Hydraulic Engineering: Research on energy dissipation in hydraulic structures and optimization of flood discharge processes.
  • Flood Disaster Management: Urban flood management, drainage systems, and dam-break flood evolution.
  • Non-steady Flow & Hydrodynamics: Investigating the dynamics of free-surface flows, wave behavior, and non-constant flow conditions in hydraulic systems.

๐Ÿ” Research Projects

Prof. Dai leads and participates in several important research projects, such as:

  • City Flood and Drainage Systems Simulation (2022โ€“2025)
  • Optimization of Urban Drainage Under Extreme Rainfall Conditions (2023โ€“2025)
  • Dam-Break Flood Evolution and Structural Interaction Studies (2024โ€“2026)
    He is also involved in national and regional projects on hydraulic structure optimization, flood forecasting, and water resource management.

 

๐Ÿ“–Top Noted Publications

Numerical study of roll wave development for non-uniform initial conditions using steep slope shallow water equations

Authors: Dai, S., Liu, X., Zhang, K., Liu, H., Jin, S.
Journal: Physics of Fluids
Year: 2024

Discharge coefficients formulae of grate inlets of complicated conditions for urban floods simulation and urban drainage systems design

Authors: Dai, S., Hou, J., Jin, S., Hou, J., Liu, G.
Journal: Journal of Hydrology
Year: 2023

Land Degradation Caused by Construction Activity: Investigation, Cause and Control Measures

Authors: Dai, S., Ma, Y., Zhang, K.
Journal: International Journal of Environmental Research and Public Health
Year: 2022

Numerical investigations of unsteady critical flow conditions over an obstacle using three models

Authors: Dai, S., Jin, S.
Journal: Physics of Fluids
Year: 2022

Interception efficiency of grate inlets for sustainable urban drainage systems design under different road slopes and approaching discharges

Authors: Dai, S., Jin, S., Qian, C., Ma, Y., Liang, C.
Journal: Urban Water Journal
Year: 2021

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.