Lei Wang | Quantitative Social Science Research | Best Researcher Award

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

International Business School, China

Author Profiles

Orcid

Scopus

📚 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. Wang’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. 

🎓 Education

Prof. Wang completed his Ph.D. in Economics at Xi’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. 

💼 Professional Experience

Prof. Wang’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. 

📝 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. 

🖥️ 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. 

👨‍🏫 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. 

🔬 Research Interests

Prof. Wang’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. 

 

Top Noted Publications 📖

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 0–3 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

Kirsten Tolstrup | medicine | Best Researcher Award

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Dr. Kirsten Tolstrup | Medicine | Best Researcher Award

Doctorate at UCSF School of Medicine, United States

👨‍🎓Professional Profile

👩‍⚕️ Summary

Dr. Kirsten Tolstrup is a distinguished cardiologist with extensive experience in cardiovascular disease, adult comprehensive echocardiography, and women’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.

🎓 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).

💼 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.

📚 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.

🛠️ 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.

👩‍🏫 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.

🔬 Research Interests

Her research interests focus on cardiovascular imaging, particularly in the areas of women’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.

📖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-Sørensen, T.
Journal: Journal of Echocardiography
Year: 2020

 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.Hø., Biering-Sørensen, S.R., Olsen, F.J., Jensen, J.S., Biering-Sørensen, 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

Sogand Dehghan | social network analysis | Best Innovation Award

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

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

👨‍🎓Professional Profiles

Orcid Profile

Google Scholar  Profile

👩‍💻 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.

🎓 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.

💼 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.

📚 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 Users’ 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.

🔧 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.

👨‍🏫 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.

🔍 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.