Ke Cui | Business Management and Accounting | Best Researcher Award

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Dr. Ke Cui | Business Management and Accounting | Best Researcher Award

Student | Liaoning University | China

Dr. Ke Cui is a rising scholar in the field of economics with a multidisciplinary academic background combining management and economic theory. With a strong foundation in accounting and advanced research in national and regional economic systems, she has developed a unique analytical approach to socioeconomic development, industrial transformation, and policy reform. Her academic journey reflects a consistent commitment to combining empirical research with policy-oriented thinking, particularly focusing on Northeast China’s industrial revitalization and rural development.

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Education

Dr. Cui obtained her Bachelor’s degree in Accounting from Northeast Forestry University, She later pursued a Master’s degree in National Economics at Liaoning University, where she further deepened her understanding of macroeconomic policy and regional development. Throughout her academic career, she has demonstrated outstanding leadership and academic excellence, receiving scholarships and engaging actively in student governance.

Experience

Dr. Cui has held several influential student leadership roles, including serving as the Youth League Secretary at both Northeast Forestry University and Liaoning University. She also contributed to the university choir as the lead piano accompanist, demonstrating versatility beyond academia. Professionally, she interned at JD.com’s Government and Enterprise Division, where she gained firsthand experience in market operations, organizational strategy, and e-commerce economics, which further solidified her interest in practical economic applications and policy implementation.

Research Interests

Dr. Cui’s research focuses on regional economic revitalization, agricultural modernization, and industrial upgrading, with a special emphasis on “new quality productive forces” in Northeast China. Her scholarly work investigates the transformation of traditional industries and the integration of digital technologies into regional economic models. Additionally, she has conducted in-depth studies on the social dynamics of student-parent relationships, rural development mechanisms, and urban-rural integration strategies, reflecting her comprehensive and interdisciplinary research approach.

Honors

Dr. Cui’s academic excellence has been recognized through numerous awards. She received the University-Level First-Class Scholarship at Liaoning University, as well as the Third-Class Scholarship at Northeast Forestry University. Her leadership and civic involvement earned her titles such as “Model Youth League Leader,” “Outstanding Student Cadre,” and “Outstanding Volunteer” (First Prize). She also holds several professional qualifications, including the ITPT E-commerce Specialist Certificate, the Fund Practitioner License, and the Banking Professional Qualification Certificate, which complement her academic expertise with practical competencies.

Top Noted Publication

Title: Information barrier, audit quality, and organizational resilience
Index: Finance Research Letters
Year of Publication: 2025

Conclusion

Dr. Ke Cui exemplifies a new generation of interdisciplinary economists dedicated to regional development and policy innovation. Her academic journey, enriched by leadership, research, and applied fieldwork, positions her as a promising scholar in economic transformation and modernization strategies. Her published work and contributions to government-backed research projects underscore her ability to integrate theoretical knowledge with real-world solutions. Dr. Cui continues to pursue impactful academic and policy-driven research with the potential to shape regional economic reform and sustainable development.

Assist. Prof. Dr. Kaan Koçali | Occupational Health and Safety | Best Researcher Award |

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Assist. Prof. Dr. Kaan Koçali | Occupational Health and Safety | Best Researcher Award

Istanbul Gelisim University, Occupational Health and Safety, Turkey.

Assist. Prof. Dr. Kaan Koçali is a dynamic academic and researcher in the fields of Occupational Health and Safety, Mining Engineering, and Engineering Management. With a multidisciplinary educational background and a strong focus on applied research, he brings together legal, technical, and managerial expertise to address workplace safety and innovation in industrial systems. Dr. Koçali currently serves as a faculty member at Istanbul Gelişim University, where he actively contributes to both academia and industry through education, consultancy, and R&D projects.

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🎓 Education 

Dr. Koçali holds a Ph.D. in Occupational Health and Safety from Istanbul Aydın University (2021), where his dissertation focused on defining the legal responsibilities of permanent supervisors in mines in the context of Turkish mining and occupational safety laws, along with the development of a software-based certificate tracking system. He also holds two Master’s degrees: one in Mining Engineering (Thesis-based) from Istanbul University and another in Occupational Health and Safety (Non-thesis) from Istanbul Aydın University. Additionally, he completed undergraduate studies in Mining Engineering, Business Administration (Open Education), and Entrepreneurship at respected Turkish institutions, including Istanbul University, Anadolu University, and Istanbul Kültür University.

💼 Experience 

Dr. Koçali has held the position of Assistant Professor at Istanbul Gelişim University since 2021, teaching and conducting research in the Department of Property Protection and Security, with a specialization in Occupational Safety and Health. He has also participated in international academic mobility programs under the Erasmus+ framework, receiving training at institutions in Germany and North Macedonia. These experiences have enriched his cross-cultural and multidisciplinary research outlook. He previously served as a project leader on several nationally supported R&D initiatives under KOSGEB and TEKMER, demonstrating his leadership in both academic and industrial research.

🔬 Research Interests

Dr. Koçali’s research focuses on occupational safety regulations, mining technologies, safety system software, and industrial innovation. His doctoral work combined legal analysis with engineering software development, reflecting a unique interdisciplinary blend. He is especially interested in improving health and safety mechanisms in hazardous industries through legal compliance and technology integration. His projects often emphasize practical outcomes, such as software tools, safety machinery, and sector-specific digital platforms.

🏆 Honors & Awards

Dr. Koçali has received support from leading national programs such as KOSGEB’s R&D and Innovation Support Program, under which he led notable engineering innovation projects. His proactive participation in Erasmus+ academic mobility programs has also earned him international training credentials, highlighting his commitment to continuous development and internationalization.

Top Noted Publications:

1. Standardization of Social Security Institution’s Work Accident Indicators Between 2012–2020
Author: K. Koçali
Citations: 46
Journal: Journal of Academic Approaches, Vol. 12, No. 2, pp. 302–327
Year: 2021

2. Calculation of Occupational Accident Indicators of Türkiye
Author: K. Koçali
Citations: 17
Book: INSAC Social and Education Sciences, pp. 222–250
Year: 2021

3. Investigation of Occupational Health and Safety Culture and Practice in Open Pit Mining Enterprises with Worker Surveys
Author: K. Koçali
Citations: 14
Journal: Scientific Mining Journal, Vol. 57, No. 1, pp. 15–24
Year: 2018

4. Liability and Fault Rates in Mining Accidents
Author: K. Koçali
Citations: 13
Publisher: Nobel Publishing Bookstore
Year: 2021

5. Recommendations on Non-Conformities in Coal Mining in Light of the Şırnak Coal Mine Accident
Author: K. Koçali
Citations: 10
Conference: Türkiye 21st International Coal Congress (ICCET 2018), Proceedings Book, pp. 387–399
Year: 2018

6. How to Perform a Risk Assessment Step by Step for Occupational Health and Safety
Author: K. Koçali
Citations: 8
Journal: EURAS Journal of Engineering and Applied Sciences, Vol. 2, No. 1, pp. 1–19
Year: 2022

Conclusion:

Assist. Prof. Dr. Kaan Koçali is an interdisciplinary scholar and practitioner who combines engineering, law, and management in addressing occupational safety challenges. His research is grounded in real-world applications, and he has demonstrated strong leadership in R&D, international collaboration, and academic training. With a growing international profile and a clear vision for innovation in workplace safety, Dr. Koçali is well-positioned for greater contributions to his field and is a deserving candidate for awards and recognitions in applied research and safety engineering.

Mr Tommaso Giordano | Risk assessment | Best Researcher Award |

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Mr. Tommaso Giordano | Risk assessment | Best Researcher Award | 

PhD, at Consiglio Nazionale delle Ricerche , Italy

Mr. Tommaso Giordano is a dedicated research fellow at the Institute for Bioeconomy of the National Research Council (CNR-IBE) in Florence, Italy. With a multidisciplinary background spanning environmental engineering and development economics, he is currently pursuing a Ph.D. in Environmental Engineering through the prestigious International Doctorate in Civil and Environmental Engineering program at the University of Florence. His work is rooted in the intersection of urban environmental sustainability, data-driven risk assessment, and geospatial analysis. Mr. Giordano’s research is characterized by a strong commitment to applying statistical and technological tools to address real-world urban challenges.

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Education 🎓

Mr. Giordano holds a dual MSc degree in Development Economics from the University of Florence, Italy, and the University of Göttingen, Germany, as part of an esteemed joint program. His academic journey began with a High School Diploma from Liceo Scientifico “Piero Gobetti” and has progressed into doctoral-level research in environmental engineering. His master’s thesis focused on “Environmental regulation and innovation: empirical evidence for plastic,” highlighting his early interest in the interaction between environmental policy and technological development. His ongoing Ph.D. builds upon this interdisciplinary foundation, focusing on environmental modeling and urban sustainability.

Experience 👩‍

Mr. Giordano has served in various research fellow roles at CNR-IBE since March 2021, contributing to urban environmental projects funded by both national and local institutions. His responsibilities have included data collection, advanced statistical processing, geospatial analysis, and socio-economic evaluations for climate and sustainability initiatives. Prior to his research career, he completed a sales assistant internship at IRPLAST SpA, gaining experience in client services and data management systems. His professional background reflects a seamless integration of technical, analytical, and applied economic skills.

Research Interests 🔬

Mr. Giordano’s research primarily explores the application of statistical and geospatial methods to analyze urban environments, assess population risks related to natural and anthropogenic hazards, and evaluate ecosystem services. His work integrates data from IoT sensor networks, satellite imagery, and socio-economic indicators to provide holistic assessments of environmental quality, heat stress, and air pollution in urban settings. He has contributed to key research projects such as “Prato Urban Jungle,” “SMARTCITIES AIRQINO,” and “ADESFUR,” which aim to enhance urban resilience and sustainable planning through advanced data analytics.

Awards 🏆

Although still early in his career, Mr. Giordano has demonstrated noteworthy academic and research excellence. His consistent fellowship appointments at CNR-IBE reflect trust in his capabilities and the value of his contributions. His published research in internationally recognized journals, and his selection for doctoral studies at a competitive international program, further affirm his academic merit and potential as a leading researcher in the field.

Top Noted Publications 📚

Mr. Giordano has co-authored peer-reviewed scientific articles addressing key environmental issues. Notable publications include:

“Assessment of risk components for urban population to heat intensity and air pollution through a dense IoT sensor network” (Urban Climate, 2025), which explores how low-cost sensors can inform climate and health risk assessments in cities.

“Potential of low-cost PM monitoring sensors to fill monitoring gaps in areas of Sub-Saharan Africa” (Atmospheric Pollution Research, 2024), which underscores the global applicability of affordable environmental technologies.

Conclusion

Tommaso Giordano is highly suitable for a Best Researcher Award, particularly if aimed at early-career or emerging researchers in environmental engineering, urban climate, or sustainability science. He brings together technical rigor, societal impact, and cross-disciplinary training in a way that aligns well with current global research priorities.

If the award also values career trajectory, international collaboration, and data-driven innovation, he would be a strong contender. With further leadership, communication, and outreach, he could become a standout figure in urban environmental research in the next few years.

Prof. Dr Jozef Ristvej | Security Sciences | Best Researcher Award |

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Prof. Dr. Jozef Ristvej | Security Sciences | Best Researcher Award | 

Professor, at University of Žilina, Slovakia.

Prof. Dr. Jozef Ristvej is a distinguished researcher and academic in crisis management, specializing in disaster risk assessment, decision-making support systems, and security engineering. Currently serving as a Full Professor at the Department of Crisis Management, Faculty of Security Engineering, University of Žilina, Slovakia, he is also the Vice-Rector for International Relations and Marketing. With extensive international experience, he has been a Visiting Scholar at UC Berkeley, USA, and has collaborated with leading institutions worldwide. His work integrates technology, policy, and emergency response strategies to enhance crisis preparedness and resilience.

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Education 🎓

Prof. Ristvej holds a Ph.D. in Crisis Management from the University of Žilina, where he focused on the economic impacts of disasters. His academic journey includes research stays at renowned institutions such as the University of Pittsburgh (USA), Tilburg University (Netherlands), and Linköpings University (Sweden). He has also participated in prestigious international programs, including the ISCRAM-TIEMS Summer School on Global Disaster Risks and Humanitarian Assistance.

Professional Experience 💼

Prof. Ristvej has held several key academic and administrative positions:

Vice-Rector for International Relations and Marketing at the University of Žilina (2014–present).

Full Professor in Crisis Management at the Faculty of Security Engineering, University of Žilina (2019–present).

Visiting Scholar at UC Berkeley, USA (2024), focusing on catastrophic risk management.

Research Fellow at the University of Pittsburgh, USA (2010), working on decision-making support systems.

Erasmus Scholar at Linköpings University, Sweden (2003), studying European integration.

Research Interests 🌍

His research primarily revolves around crisis management, disaster risk assessment, decision-making support systems, security engineering, and information systems for emergency response. Prof. Ristvej has contributed to the development of frameworks that improve risk analysis, crisis preparedness, and the integration of technology in disaster response. His work has significant implications for both government policies and private sector risk management strategies.

Awards & Honors 🏆

Throughout his career, Prof. Ristvej has been recognized for his contributions to crisis management and security studies. He has been a key member of Slovak delegations at the UNESCO Youth Forum in Paris and international science fairs in the USA. His leadership in organizing international conferences and academic events has further solidified his reputation as a leading researcher in the field.

Top Noted Publications 📚

Smart city, safety and security – M. Lacinák, J. Ristvej (Citations: 292, Published: 2017, Procedia Engineering 192, 522-527)

On smart city and safe city concepts – J. Ristvej, M. Lacinák, R. Ondrejka (Citations: 124, Published: 2020, Mobile Networks and Applications 25, 836-845)

Data mining and machine learning in the context of disaster and crisis management – A. T. Zagorecki, D. E. A. Johnson, J. Ristvej (Citations: 82, Published: 2013, International Journal of Emergency Management 9 (4), 351-365)

Assessing importance of disaster preparedness factors for sustainable disaster risk management: The case of the Slovak Republic – M. Titko, J. Ristvej (Citations: 58, Published: 2020, Sustainability 12 (21), 9121)

Critical infrastructure protection systems effectiveness evaluation – T. Lovecek, J. Ristvej, L. Simak (Citations: 52, Published: 2010, Journal of Homeland Security and Emergency Management 7 (1))

Conclusion

With his extensive expertise, international collaborations, and impactful research in crisis management, Prof. Dr. Jozef Ristvej is a respected scholar in his field. His dedication to advancing risk assessment, security engineering, and decision-making systems has made significant contributions to both academia and real-world crisis response strategies.

Dr Yan Wang | Risks | Best Researcher Award |

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Dr. Yan Wang | Risks | Best Researcher Award

Applied Scientist, at Kennesaw State University, United States

Dr. Yan Wang is a distinguished researcher in data science, analytics, and machine learning, specializing in credit risk modeling, statistical analysis, and investment decision-making. With an exceptional academic background and hands-on industry experience, Dr. Wang has made significant contributions to predictive modeling, fraud detection, and financial risk assessment. Her work integrates advanced statistical techniques, machine learning algorithms, and big data analytics, impacting both academia and industry.

Professional Profile

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Education 🎓

Dr. Wang holds a Ph.D. in Analytics and Data Science from Kennesaw State University (GPA: 4.00), where she pioneered research in data-driven investment decision-making in peer-to-peer lending. She also earned an M.S. in Statistics from the University of Georgia (GPA: 4.00), further strengthening her expertise in mathematical modeling and predictive analytics. Her foundational education includes an M.S. in Pharmacokinetics (GPA: 3.92) and a B.S. in Pharmacy (GPA: 3.81) from China Pharmaceutical University, providing a unique interdisciplinary perspective in data science applications within finance, healthcare, and pharmaceuticals.

Experience 💼

Currently, Dr. Wang is a Statistician at Credigy Solutions, where she applies advanced analytics and machine learning to credit risk modeling and investment strategies. Her expertise in data visualization, predictive analytics, and risk assessment has led to a 10% reduction in model errors and improved financial forecasting. Previously, she interned at Hexaware Technologies, where she developed fraud detection models for Starbucks, leveraging cost-sensitive learning methods and ensemble techniques.

Research Interest 🔬

Dr. Wang’s research revolves around machine learning applications in financial analytics, statistical modeling, and credit risk assessment. She has developed novel models for predicting loan defaults, fraud detection, and investment risk. Her work integrates time-series analysis, ensemble learning, deep learning, and feature selection techniques to enhance model accuracy and efficiency. She has also contributed to text mining and natural language processing (NLP), applying these techniques to analyze National Science Foundation (NSF) funding trends.

Award 🏅

Dr. Wang has been recognized for her research excellence with multiple accolades, including the Best Poster Award at ACMSE 2019 for her groundbreaking work in fraud detection. Her proposed machine learning models have significantly improved industry-standard risk assessments, and her patent-pending innovation in predictive modeling showcases her contributions to data-driven financial decision-making.

Top Noted Publication 📑

Title: A Survey of Machine Learning Methodologies for Loan Evaluation in Peer-to-Peer (P2P) Lending

Authors: Yan Wang, Xuelei (Sherry) Ni

This book chapter provides a comprehensive overview of machine learning techniques applied to loan evaluation in P2P lending, exploring methodologies such as supervised learning, ensemble models, and deep learning to enhance credit risk assessment and investment decision-making

Conclusion

Yan Wang is an exceptional candidate for the Best Researcher Award, with an impeccable academic record, innovative research, and real-world industry contributions in data science, finance, and machine learning. Strengthening publication output and expanding interdisciplinary collaborations will further enhance their research impact.