Neyara Radwan | Innovation in Data Analysis | Outstanding Scientist Award

Dr. Neyara Radwan | Innovation in Data Analysis | Outstanding Scientist Award

Liwa College, ABU Dhabi | United Arab Emirates

Publication Profile

Orcid

Scopus

Research Gate

Google scholar

๐Ÿ‘ฉโ€๐Ÿซ Summary

Dr. Neyara Radwan is an accomplished academic and researcher specializing in Industrial Engineering, Lean Manufacturing, Sustainable Systems, and Renewable Energy. Currently an Associate Professor at Liwa College in Abu Dhabi, UAE, she has an impressive academic history with roles across several prestigious institutions globally, including in Egypt, Saudi Arabia, and India. With a passion for sustainable development and advanced engineering systems, her research focuses on optimization, supply chain management, solid waste management, and energy systems.

๐ŸŽ“ Education

Dr. Radwan holds a Ph.D. in Production Engineering from Benha University, Egypt (2008), with a thesis on CAD of Electro-Chemical Honing Machining and Statistical Modeling. She also earned her M.A. in Production Engineering and Mechanical Design from Mansoura University, Egypt (2004), focusing on utilizing computer-aided expert systems for power transmission shaft design. Additionally, she completed her B.A. in the same field from Mansoura University, where she designed belt conveyors for a sugar factory project.

๐Ÿ’ผ Professional Experience

Dr. Radwan has an extensive career in academia. She is currently an Associate Professor at Liwa College in Abu Dhabi (2023โ€“Present). Before this, she served as an Associate Professor at the Mechanical Department of Suez Canal University, Egypt (2012โ€“2023), and as a Quality Assurance Officer and Assistant Professor at King Abdulaziz University, Jeddah, KSA (2014โ€“2021). She has also held part-time roles in various academic institutions in Egypt, focusing on industrial engineering and mechanical design.

๐Ÿ… Awards & Recognition

Dr. Radwan’s dedication to education and research has earned her numerous awards, including the Excellence in Education Development Award (NCRDSIMS, India, 2018), the Global Service to Humanity Award (ADlafrica, 2021), and the Golden Academic Award (Tradepreneur Global, 2022). She has also been recognized for her outstanding academic leadership, receiving the Global Excellence in Academic Leadership Award (2024) and the Most Outstanding Engineering Educator and Writer Award (2024). Her contributions have been consistently celebrated through international accolades and recognitions.

๐Ÿ”ง Technical Skills

Dr. Radwanโ€™s technical expertise spans several cutting-edge areas, including Optimization, Lean Manufacturing, and Sustainable Engineering. She is skilled in Renewable Energy Systems, Artificial Intelligence Applications in Engineering, Supply Chain Management, and Solid Waste Management. Additionally, her proficiency in CAD Modeling and Statistical Process Control allows her to explore and implement advanced solutions for sustainable systems and optimal operations.

๐Ÿ‘ฉโ€๐Ÿซ Teaching Experience

Dr. Radwan has taught at top-tier universities across multiple countries, specializing in Industrial Management, Mechanical Engineering, and Sustainable Systems. Her teaching includes overseeing quality assurance in MBA/EMBA programs, and she is passionate about helping students connect theoretical knowledge with practical, real-world applications. She is recognized for her engaging teaching style and her ability to inspire the next generation of engineers and leaders.

๐Ÿ”ฌ Research Interests

Dr. Radwan’s research interests are wide-ranging, with a primary focus on Sustainability, Renewable Energy, and Optimization. Her work also delves into Circular Economy, Waste Management, Energy Systems, and Artificial Intelligence applications in engineering. She is particularly dedicated to researching how these fields intersect with global goals like the Sustainable Development Goals (SDGs), striving for impactful, real-world solutions to critical environmental and societal challenges.

Publication Top Notes

Development of artificial intelligence techniques in Saudi Arabia: the impact on COVID-19 pandemic. Literature review
    • Authors: NB Al-Jehani, ZA Hawsawi, N Radwan, M Farouk
    • Journal: Journal of Engineering Science and Technology
    • Citation: 12
    • Year: 2021 ๐Ÿ—“๏ธ
Characterizing land use/land cover change dynamics by an enhanced random forest machine learning model: a Google Earth Engine implementation
    • Authors: CB Pande, A Srivastava, KN Moharir, N Radwan, L Mohd Sidek, …
    • Journal: Environmental Sciences Europe
    • Citation: 11
    • Year: 2024 ๐Ÿ—“๏ธ
Heat transfer analysis of single-walled carbon nanotubes in Ellis’s fluid model: Comparative study of uniform and non-uniform channels
    • Authors: M Irfan, I Siddique, M Nazeer, S Saleem, N Radwan
    • Journal: Case Studies in Thermal Engineering
    • Citation: 10
    • Year: 2024 ๐Ÿ—“๏ธ
Dynamics of magnetized viscous dissipative material of hybrid nanofluid with irregular thermal generation/absorption
    • Authors: M Yasir, S Saleem, M Khan, N Radwan
    • Journal: Case Studies in Thermal Engineering
    • Citation: 8
    • Year: 2024 ๐Ÿ—“๏ธ
Assessment of groundwater potential zone mapping for semi-arid environment areas using AHP and MIF techniques
    • Authors: SP Shinde, VN Barai, BK Gavit, SA Kadam, AA Atre, CB Pande, SC Pal, …
    • Journal: Environmental Sciences Europe
    • Citation: 8
    • Year: 2024 ๐Ÿ—“๏ธ
A comparative study based on performance and techno-economic analysis of different strategies for PV-Electrolyzer (green) hydrogen fueling incinerator system
    • Authors: OM Butt, MS Ahmad, TK Lun, HS Che, H Fayaz, N Abd Rahim, KKK Koziol, …
    • Journal: Waste Management
    • Citation: 8
    • Year: 2023 ๐Ÿ—“๏ธ

Jingteng Liu | Business Analytics | Best Researcher Award

Mr. Jingteng Liu | Business Analytics | Best Researcher Award

ESADE Business School, Spain

Author Profile

Google Scholar

๐ŸŽ“ Early Academic Pursuits

Mr. Jingteng Liuโ€™s academic journey began at Northwestern Polytechnical University, where he studied Software Engineering. After completing two years, he transferred to Arizona State University (ASU), where he pursued a Bachelor of Science in Computational Mathematical Sciences from 2017 to 2022. Alongside this, he obtained a Certification in Applied Business Data Analytics (2018-2022). During this period, Mr. Liu laid the foundation for his academic success by immersing himself in subjects that bridged computer science, mathematics, and business analytics.

๐Ÿ’ผ Professional Endeavors

Mr. Liuโ€™s career has been marked by various leadership roles, with a strong focus on data analysis, machine learning, and business strategy. As Co-Founder of Hans & Associates LLC since May 2017, he formulated and executed comprehensive business strategies that helped transition the start-up into a stable organization. This experience helped him hone his strategic thinking, resource optimization, and market analysis skills. His involvement with Amazon Web Services (AWS) as a Professional Service Intern in 2020 allowed him to work on advanced machine learning models, particularly enhancing predictive analysis and using optimization algorithms. His professional journey has provided him with a wealth of experience, particularly in data-driven decision-making and strategic innovation.

๐Ÿ“š Contributions and Research Focus

Throughout his academic and professional career, Mr. Liu has contributed significantly to data-driven research. Notably, his research as a Barrett College Fellow at ASU in 2019-2022 focused on understanding consumer behavior and the preferences of hydrogen vehicle owners in California. He applied multinomial logistic regression and null hypothesis significance testing to evaluate the factors influencing gas station choices. Mr. Liu also contributed as a Research Assistant at ASU, co-authoring a published paper on mathematical modeling for cancer treatment responses. His research focus has consistently centered on the intersection of data analytics, machine learning, and their applications in real-world challenges.

๐ŸŒ Impact and Influence

Mr. Liuโ€™s diverse experiences in data analytics, machine learning, and business strategy have had a significant impact on both academic and professional fields. His work with Amazon on developing predictive models and enhancing customer trend analysis reflects a deep understanding of how technology can transform business outcomes. Additionally, his entrepreneurial work in founding Hans & Associates and MiStraws demonstrates his ability to leverage data-driven insights for sustainable business growth. His contributions have influenced the development of strategic innovation, particularly in the use of AI to drive market forecasting and customer behavior analysis.

๐Ÿ“‘ Academic Citations

One of Mr. Liuโ€™s key academic achievements was his co-authorship of a published paper titled “Clinical Data Validated Mathematical Model for Intermittent Abiraterone Response in Castration-Resistant Prostate Cancer Patients”. The research, published by SIAM Undergraduate Research Online, highlights his ability to apply complex mathematical models in the context of healthcare and medicine, contributing to the field of computational oncology. This paper demonstrates his expertise in applied mathematics and its real-world applications in clinical data analysis.

๐Ÿ’ป Technical Skills

Mr. Liu possesses an extensive range of technical skills that span across programming languages, data analysis tools, and machine learning frameworks. Some of his core skills include proficiency in Python, SQL, and R, as well as expertise in machine learning algorithms and models such as BERT, Amazon Comprehend, and optimization techniques. He is also well-versed in Excel, Tableau, and Power BI, enabling him to deliver actionable insights from large datasets. These technical skills have been pivotal in his roles, particularly in optimizing business processes and enhancing predictive capabilities.

๐Ÿ‘จโ€๐Ÿซ Teaching Experience

While Mr. Liu has not held formal teaching positions, his experiences as a research assistant and fellow at ASU have allowed him to contribute significantly to the academic community. His work on data analysis and research methodologies would have provided valuable mentorship to students and colleagues alike. His ability to communicate complex topics like statistical modeling and machine learning reflects his potential to make a meaningful impact in academia as a future educator.

๐ŸŒŸ Legacy and Future Contributions

Looking forward, Mr. Liuโ€™s trajectory indicates his potential to become a key thought leader in the areas of AI-driven business analytics and strategic innovation. His multidisciplinary expertise in data science, machine learning, and business strategy positions him well to drive cutting-edge innovation in industries ranging from technology to healthcare. He envisions contributing to the advancement of AI and analytics solutions, developing models that offer enhanced business intelligence, operational efficiency, and predictive capabilities. His future contributions are poised to leave a lasting legacy, particularly in fostering sustainable business growth through data-driven decision-making and AI optimization.

Top Noted Publications ๐Ÿ“–

  • Hydrogen Fuel Cell Vehicle Adopters Geographically Evaluate a Network of Refueling Stations in California
    • Authors: S Kelley, A Krafft, M Kuby, O Lopez, R Stotts, J Liu
    • Journal: Journal of Transport Geography
    • Year: 2020
  • Clinical Data Validated Mathematical Model for Intermittent Abiraterone Response in Castration-Resistant Prostate Cancer Patients
    • Authors: J Bennett, X Hu, K Gund, J Liu, A Porter
    • Journal: SIAM Undergraduate Research Online
    • Year: 2021
  • Extreme Heat Effects on Electric Vehicle Energy Utilization and Driving Range
    • Authors: NC Parker, M Kuby, J Liu, EB Stechel
    • Journal: Available at SSRN
    • Year: 2024

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