Mahbouba Nasraoui | Regression Analysis | Research Excellence Award

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Dr. Mahbouba Nasraoui | Regression Analysis | Research Excellence Award

University of Burgundy | France

Dr. Mahbouba Nasraoui is a researcher and lecturer in finance whose work examines the intersections of economic policy uncertainty, ESG practices, market behavior, and corporate decision-making. She holds advanced academic qualifications, including a doctorate in finance, and has taught at institutions such as IAE Dijon and the Faculty of Economics and Management, where she has delivered courses in corporate finance, financial principles, management control, and derivatives. Her professional background spans higher education, professional training, and corporate financial management, offering her a multidisciplinary perspective that enriches her research and teaching. Dr. Nasraoui has published in reputable journals, including Economic Modelling and The Journal of Risk Finance, with studies exploring investment inefficiency, stock market liquidity, and investor sentiment. She has presented her work at several international conferences in France and Tunisia, contributing to discussions on sustainability, ethics, monetary policy, and financial markets. Her research interests include economic policy uncertainty, behavioral finance, ESG integration, financial decision-making, and market microstructure. In recognition of her academic engagement, she continues to collaborate with research teams and participate in scientific events. Dr. Nasraoui strives to advance knowledge in finance while fostering rigorous, engaged learning environments for her students.

Profile : Orcid

Featured Publications

Nasraoui, M., Ajina, A., & Herve, F. (2025). Economic Policy Uncertainty, ESG Practices, and Investment Inefficiency in U.S. Firms. Economic Modelling. https://doi.org/10.1016/j.econmod.2025.107414

Nasraoui, M., Ajina, A., & Kahloul, A. (2024). The influence of economic policy uncertainty on stock market liquidity? The mediating role of investor sentiment. The Journal of Risk Finance. https://doi.org/10.1108/JRF-06-2023-0129

Saralah Devi Mariamdaran Chethiyar | Smarter Analytics With Ai | Best Researcher Award

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Assoc. Prof. Dr. Saralah Devi Mariamdaran Chethiyar | Smarter Analytics With Ai | Best Researcher Award

Universiti Utara Malaysia | Malaysia

Prof. Madya Dr. Saralah Devi A/P Mariamdaran is an Associate Professor at the School of Applied Psychology, Social Work, and Policy, Universiti Utara Malaysia, specializing in counselling, psychology, and correctional science. She holds a Ph.D. in Correctional Counselling from Universiti Utara Malaysia, a Master’s in Counselling from Universiti Malaya, and a Bachelor’s degree with Honours in Industrial and Organisational Psychology from Universiti Malaysia Sabah. Her academic and professional experience spans counselling for children, adolescents, women, and prison inmates, with a focus on social psychology, violence, aggression, and psychotherapy. Dr. Saralah Devi has an extensive publication record in both national and international journals and has presented at numerous conferences, earning recognition for innovative teaching, research, and community engagement. She has received multiple awards including Best Innovative Research, Best Conference Presenter, and accolades from governmental and educational institutions for her contributions to education, research, and social development. Actively involved in professional associations such as PERKAMA and APECA, she also serves as a state judge for archery and is recognized for her social activism. Her work bridges academic research, applied psychology, and community development, reflecting a commitment to advancing mental health, counselling, and social well-being in diverse populations.

Profile : Google Scholar

Featured Publications

Asad, M., Chethiyar, S.D.M., & Ali, A. (2020). Total quality management, entrepreneurial orientation, and market orientation: Moderating effect of environment on performance of SMEs. Paradigms, 14(1), 102–108.

Chethiyar, S.D.M., Asad, M., Kamaluddin, M.R.U., Ali, A., & Sulaiman, M.A.B.A. (2019). Impact of information and communication overload syndrome on the performance of students. Opción: Revista de Ciencias Humanas y Sociales, 390–405.

Asad, M., Muhammad, R., Rasheed, N., Chethiyar, S.D., & Ali, A. (2020). Unveiling antecedents of organizational politics: An exploratory study on science and technology universities of Pakistan. International Journal of Advanced Science and Technology, 29(6s), 2057–2066.

Rathakrishnan, M., Raman, A., Haniffa, M.A.B., Mariamdaran, S.D., & Haron, A.B. (2018). The drill and practice application in teaching science for lower secondary students. International Journal of Education, Psychology and Counseling, 3(7), 100–108.

Kashif, M., Asif, M.U., Ali, A., Asad, M., Chethiyar, S.D.M., & Vedamanikam, M. (2020). Managing and implementing change successfully with respect to COVID-19: A way forward for SMEs. PEOPLE: International Journal of Social Sciences, 6(2), 609–624.

Naima Rahiel | Public Health Analytics | Women Researcher Award

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Mrs. Naima Rahiel | Public Health Analytics | Women Researcher Award

QARTZ, Université Paris 8 | France

Naima Rahiel is a doctoral researcher in Industrial Engineering and Productics at the University of Paris 8, specializing in the modeling and optimization of complex systems, with a particular focus on hospital logistics and supply chain resilience. She holds a Master’s and a Bachelor’s degree in Industrial Engineering from the University of Oran 2, Algeria, where she built strong foundations in probabilistic analysis, production systems, and decision-making under uncertainty. Her professional experience includes academic teaching at IUT de Montreuil and practical research in industrial and healthcare environments, such as Tosyali Algeria and the Canastel Pediatric Hospital in Oran. Her research explores the resilience of healthcare supply chains through analytical and simulation-based approaches, leading to several international conference presentations and peer-reviewed publications, including contributions to Springer’s book series and the journal Environmental Systems and Decision. Passionate about innovation, data analysis, and system reliability, she aims to bridge theoretical modeling with real-world decision support tools for sustainable and adaptive supply chain management. Her academic achievements and active participation in scientific events demonstrate her commitment to advancing research on healthcare logistics and resilience engineering, contributing valuable insights to the industrial and operational research community.

Profile : Google Scholar

Featured Publication

Rahiel, N., El Mhamedi, A., & Hachemi, K. (2024). Healthcare Supply Chain: Resilience Qualitative Evaluation. In Hospital Supply Chain: Challenges and Opportunities for Improving Healthcare.

Rahiel, N., El Mhamedi, A., Hachemi, K., Aouffen, N., & Rahiel, I. (2025). Resilience of the hospital supply chain: a case study-based approach on safety stock. Environment Systems and Decisions, 45 (4), 56.

Rahiel, N., Addouche, S.A., El Mhamedi, A., & Hachemi, K. (2025). Function-Based Modeling for Reactive Optimization of Healthcare Resource Reallocation. In Proceedings of the 16th International Conference on Logistics and Supply Chain Management (LOGISTIQUA 2025).

Talita Ferreira | Data Regulation | Best Researcher Award

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Ms. Talita Ferreira | Data Regulation | Best Researcher Award

University of Salamanca | Spain

Talita Ferreira is an experienced pharmacist and regulatory affairs specialist with over 20 years of expertise in the pharmaceutical industry, leading strategic projects across Latin America, the USA, and Africa. She holds a Master’s degree in Entrepreneurship from the University of São Paulo and is pursuing a PhD in Business Economy at Universidad de Salamanca, with a research focus on healthcare management, organizational strategies, decision-making processes, and knowledge management. Talita has served as CEO and founder of multiple companies, including Avanti Farmacêutica, Pharma Avanti, and Legis Consulting, providing regulatory, quality, and strategic support to pharmaceutical organizations. She has collaborated with global institutions such as the World Health Organization and the International Pharmaceutical Federation, supporting vaccine manufacturing expansion, regulatory compliance, and biowaiver alignment initiatives. Her professional experience spans regulatory submissions, due diligence, GMP inspections, and regulatory intelligence, contributing to product launches, portfolio expansion, and process improvements. Talita combines her industry expertise with academic experience as an assistant professor and facilitator of business simulation games in undergraduate and postgraduate programs. Known for her effective communication, leadership, and problem-solving skills, she is committed to fostering innovation, compliance, and sustainable growth within the pharmaceutical and healthcare sectors.

Profiles: Orcid | Google Scholar

Featured Publications

da Silva Ferreira, T., Pauletti, G. M., Fernandes, E. A. F., Campos, A. F., Aceituno, A., … (2024). “Knowledge-based: facilitating access to medicines in Latin America.”

de Oliveira, L. G., de Souza Marcelino, V., & da Silva Rangel, F. C. (2018). “Perception of chemicals graduates about the adoção of teaching methodologies in a virtual learning.

Ferreira, T. S. (2019). “Technical alignment of collaborators through the management of knowledge.” University of São Paulo.

Ferreira, T. S., Pauletti, G. M., & Vázquez-Suárez, L. (2025). “How the Stakeholders’ Perception Contributes to the Pharmaceutical Strategies: A Regional Case Study in Latin America.

Ferreira, T. S., Pauletti, G. M., Fernandes, E. A., Campos, A. F., Aceituno, A., … (2023). “Knowledge-Based: Strategic Access to Medicines in Latin America.

Wael Baniodeh | Food Safety | Best Researcher Award

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Mr. Wael Baniodeh | Food Safety | Best Researcher Award

Dubai Municipality | United Arab Emirates

Mr. Wael Ahmad Bani Odeh is a distinguished Food Studies and Systems Officer at the Dubai Municipality’s Food Safety Department, with over 15 years of progressive experience in food safety management, risk assessment, and food control systems. He holds a B.Sc. in Food Technology from Mosul University (2002) and a High Diploma in Nutrition and Food Technology from Jordan University of Science and Technology (2006). His professional expertise spans food safety risk analysis, microbiological and chemical risk assessments, food labeling compliance, and the application of international standards such as ISO 22000 and HACCP. Mr. Bani Odeh has led numerous food awareness campaigns, inspections, and research studies related to food safety and public health. His published research focuses on pesticide residues in imported fruits and vegetables within the UAE. A recipient of multiple awards—including the Creative Employee Award and the Second Prize in the Dubai International Food Safety Conference Poster Competition—he is recognized for his contributions to food system innovation and risk management. His academic and professional record includes 7 documents, 68 citations by 66 documents, and an h-index of 3, underscoring his scholarly influence. Mr. Bani Odeh continues to advance food safety science, policy integration, and sustainable practices within global food systems.

Profile: Scopus 

Featured Publications

Assessment of Contamination and Compliance in Imported Spices, Herbs, Seasonings, Coffee, and Tea in the UAE, (2025) Journal of Food Science.

Quality and Authenticity of Animal and Vegetable Fats Imported to the United Arab Emirates, (2025) Journal of Agriculture and Food Research, Volume 24, December 2025.

Sharon L Burton | Cybersecurity Data Analysis | Best Researcher Award

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Mr. Sharon L Burton | Cybersecurity Data Analysis | Best Researcher Award

Embry-Riddle Aeronautical University | United States

Dr. Sharon L. Burton is a distinguished faculty member and industry consultant whose work bridges cybersecurity governance, risk management, AI‑driven education, and human resources strategy. She holds a Ph.D. in Cybersecurity Leadership (2022) and a DBA in Quality Systems Management (2015), alongside dual MBAs in Management and HRM. Her career spans roles as Assistant Professor of the Practice in the College of Aviation at Embry‑Riddle and Doctoral Dissertation Chair at Capitol Technology University. Dr. Burton has authored 38 documents with 157 citations, reflecting an h‑index of 5, demonstrating substantial contributions across domains. Her research interests include cybersecurity leadership, organizational behaviour in cyber contexts, AI/augmented education, and workforce resilience. She has published notable articles such as “Cybersecurity Leaders: Knowledge Driving Human Capital Development” and “Exploring the Nexus of Cybersecurity Leadership, Human Factors, Emotional Intelligence, Innovative Work Behavior and Critical Leadership Traits.” Her teaching embodies a student‑centred philosophy: hands‑on projects, reflective feedback, ethical responsibility, and real‑world problem solving. Among her recognitions are awards for teaching excellence, leadership development, and organisational transformation. In summary, Dr. Burton effectively synthesizes academic rigour and practitioner insight to prepare graduates and organisations for leadership in an ever‑evolving cybersecurity landscape.

Profiles : Scopus | Orcid

Featured Publications

Burton, S. L. (2025). “A Modular Framework for Cybersecurity Laboratory Design in Higher Education.” Laboratories.

Burton, S. L. (2025). “Navigating Digital Transformation.” In Book Chapter.

Burton, S. L. (2025). “Digital Saboteurs: Unmasking Insider Cybersecurity Threats in Aviation and Aerospace.” Law, Economics and Society.

Burton, S. L. (2024). “Advancing Cybersecurity.” In Book Chapter.

Burton, S. L. (2024). “Cybersecure Futures.” In Book Chapter.

Greene, B. A., & Burton, S. L. (2024). “Organizational Readiness for Artificial Intelligence (AI) in Network Security.” In Book Chapter.

Raquel Gaspar | Financial Data Analysis | Best Researcher Award

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Prof. Raquel Gaspar | Financial Data Analysis | Best Researcher Award

ISEG, Universidade de Lisboa | Portugal

Prof. Raquel M. Gaspar is an Associate Professor of Finance with Habilitation at ISEG – Universidade de Lisboa, where she coordinates the Scientific Area of Finance and the Master in Finance program. She earned her PhD in Finance from the Stockholm School of Economics in 2006, focusing on credit risk and forward price models under the supervision of Prof. Tomas Björk, following an MSc in Mathematics Applied to Economics and Management from ISEG. Her research interests include mathematical and computational finance, credit risk modeling, asset pricing, stochastic processes, portfolio management, and risk analysis. Prof. Gaspar has extensive teaching experience at ISEG and internationally, including Stockholm Business School and Universidad Complutense de Madrid. She has supervised multiple PhD and MSc theses in finance and actuarial science, with an emphasis on quantitative methods and applied finance. Her scientific contributions are reflected in 329 citations, an h-index of 10, and 13 i10-index publications, according to Google Scholar. She has authored several pedagogical materials and textbooks and participates actively in research projects under CEMAPRE/REM. Recognized for her pedagogical innovation and leadership, Prof. Gaspar continues to contribute to the development of financial education and quantitative finance research in Portugal and abroad.

Profiles : Scopus | Orcid

Featured Publications

Gaspar, R. M., & Silva, P. M. (2023). Investors’ perspective on portfolio insurance: Expected utility vs prospect theories. Portuguese Economic Journal.

França, R., & Gaspar, R. M. (2023). On the bias of the unbiased expectation theory. Mathematics.

Gaspar, R. M., & Khapko, M. (2023, October). In memoriam: Tomas Björk (1947–2021), on his career and beyond. Finance and Stochastics.

Almeida, J., & Gaspar, R. M. (2023, July 25). Portfolio performance of European target prices. Journal of Risk and Financial Management.

Céu, M. S., & Gaspar, R. M. (2022, December 21). Vegetative cycle and bankruptcy predictors of agricultural firms. Agricultural Economics (Zemědělská ekonomika), 0139-570X / 1805-9295.

Edmundo Tulcanaza | Environmental Data Analysis | Best Researcher Award

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Mr. Edmundo Tulcanaza | Environmental Data Analysis | Best Researcher Award

Universidad Politecnica De Madrid | Germany

Edmundo Tulcanaza is a seasoned mining engineer and researcher whose work bridges mining, geostatistics, resource economics, and sustainable extraction of strategic minerals. Educated at Universidad de Chile (Mining Engineering, 1966), he pursued postgraduate studies in Geostatistics & Mineral Economics at École des Mines Paris (1971), later completing an MSc in Geospatial Technologies at Universität Münster (2022), and is currently a PhD candidate at Universidad Politécnica de Madrid (2023-2026) studying ecosystems of strategic minerals. Over decades in academia and industry, he has lectured in Chile and Peru, worked as a research assistant at Harvard, been senior engineer in the USA, served as Managing Director of Mineral Resources & Mine Projects at CODELCO Chile, and since 2011 acted as senior consultant for mine asset certification, valuation, and strategic management. His research interests focus on natural capital valuation in mineral ecosystems, mine development risk, exploration decision-making, and resource/reserve reporting under international standards (e.g. NI 43-101, CRIRSCO). Among his major contributions is the book Evaluación de Recursos y Negocios Mineros. He has been awarded recognitions like the Alexander Sutulov award (Chile, 2008) and held leadership roles including in CRIRSCO. His h-index and citation counts are not publicly verified in major indexing services at this time, but his work is widely cited in mining economics and resource estimation. He continues to influence both policy and practice in sustainable mining asset reporting.

Profiles : Orcid |Scopus

Featured Publication

Tulcanaza, E. (2025). “Towards sustainable extraction of lithium-bearing brine resources: Role of natural capital in the High Andes business strategies” in Mineral Economics.”

Eslam seyam | Risk Stratification Analysis | Best Researcher Award

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Dr. Eslam seyam | Risk Stratification Analysis | Best Researcher Award

Imam Muhammad Ibn Saud Islamic University | Saudi Arabia

Dr. Eslam Abdelhakim Kamel Seyam is an accomplished academic and researcher in the fields of insurance, risk  management, and actuarial science. He currently serves as an Assistant Professor at the Depa rtment of Insurance and Risk Management, College of Business, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia. With a rich background in teaching, research, and institutional development, Dr. Seyam has contributed significantly to academia through innovative curriculum design, quality assurance processes, and applied research. His work integrates mathematical rigor, statistical modeling, and data analytics to address contemporary challenges in the insurance sector, bridging theoretical foundations with practical solutions.

Education

Dr. Seyam’s academic foundation is deeply rooted in commerce, statistics, and insurance. He earned his Bachelor’s degree in Commerce with a specialization in Statistics and Insurance, followed by a Master’s degree in Insurance focusing on corporate governance and its impact on asset and liability management in insurance companies. His doctoral studies in Insurance were part of a joint program between Zagazig University, Egypt, and Michigan State University, USA, allowing him to collaborate with esteemed professors and engage in international research environments. This educational trajectory provided him with expertise in mathematical modeling, statistical analysis, actuarial methods, and insurance economics.

Experience

Dr. Seyam’s career spans progressive academic positions, beginning as a Demonstrator and Teaching Assistant in the Mathematics, Statistics, and Insurance Department at Zagazig University. He advanced to Assistant Professor, contributing extensively to teaching undergraduate and postgraduate courses in financial mathematics, risk management, actuarial statistics, applied statistics, and reinsurance. His responsibilities extended beyond teaching, as he played key roles in performance evaluation, quality assessment, and accreditation processes. He developed innovative systems for managing academic accreditation, designed technical support frameworks, and authored institutional guidelines to streamline accreditation activities. His teaching experience covers multiple universities, including Zagazig University, Zagazig National University, Suez Canal University, the Higher Technological Institute, and Imam Mohammad Ibn Saud Islamic University.

Research Interests

Dr. Seyam’s research interests encompass a broad spectrum of insurance and actuarial science domains. He focuses on decision-making under risk and uncertainty, credibility theory, and insurance analytics, integrating statistical and machine learning methods into quantitative risk management. His work explores health and mortality modeling, auto and life insurance, annuities, loss reserves, and property and casualty insurance. He also examines the implications of insurance regulations, macroeconomic factors affecting insurance performance, and the adoption of advanced accounting standards such as IFRS 17. His interdisciplinary approach merges statistical modeling, computational tools, and economic theory to produce impactful insights for the insurance industry.

Awards and Contributions

Throughout his career, Dr. Seyam has been recognized for his scholarly contributions through publications in peer-reviewed journals and conference presentations at prestigious platforms such as the American Risk and Insurance Association Annual Meeting. His academic outputs include books on risk management, insurance mathematics, and financial mathematics with practical implementations in R programming. In addition to research excellence, he has designed educational programs, training modules, and institutional strategies for enhancing accreditation standards in higher education. He has also delivered numerous training courses in areas ranging from statistical methods and investment theory to scientific publishing and academic conference organization, contributing to professional capacity building in academia and industry.

Publications

Predicting High-Cost Healthcare Utilization Using Machine Learning: A Multi-Service Risk Stratification Analysis in EU-Based Private Group Health Insurance

Authors: Eslam Abdelhakim Seyam
Journal: Risks
Year: 2025

Modeling the Determinants of Insurtech Adoption: Evidence from the Saudi Insurance Industry

Authors: Eslam Abdelhakim Seyam
Journal: International Journal of Innovative Research and Scientific Studies
Year: 2025

Analyzing the Impact of IFRS 17 on Insurance Reserves Management: A Multifaceted Assessment

Authors: Ahmed Nasr, Mahmoud Mohamed Elsayed, Eslam Abdelhakim Seyam
Journal: Journal of Financial and Business Research (مجلة البحوث المالية والتجارية)
Year: 2024

Comprehensive Analysis of Credit Risk Determinants in the Egyptian Property and Casualty Insurance Sector: Exploring Macroeconomic, Industrial, and Company Specific Factors

Authors: Eslam Abdelhakim Seyam
Journal: Scientific Journal for Financial and Commercial Studies and Research (المجلة العلمية للدراسات والبحوث المالية والتجارية)
Year: 2024

Proposed Models for Comprehensive Automobile Insurance Ratemaking in Egypt with Parametric and Semi-Parametric Regression: A Case Study

Authors: Eslam Abdelhakim Seyam, Hussien Elsalmouny
Journal: Journal of Statistics Applications & Probability
Year: 2022

Conclusion

Dr. Eslam Abdelhakim Kamel Seyam stands out as a dedicated educator, innovative researcher, and institutional leader in insurance and risk management education. His expertise in actuarial science, combined with advanced statistical and computational skills, positions him as a key contributor to the evolving landscape of insurance research and education. Through his teaching, publications, and institutional initiatives, he continues to shape the next generation of professionals equipped to navigate the complexities of global insurance markets. His work not only advances academic knowledge but also delivers practical frameworks for addressing real-world challenges in risk management and insurance analytics.

Lianhong QIU | Data Analysis | Best Researcher Award

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Assoc Prof Dr. Lianhong QIU | Data Analysis | Best Researcher Award

Guangdong Provincial Party School of the CPC | China

Assoc. Prof. Dr. Lianhong Qiu is a distinguished scholar and academic at the Guangdong Provincial Party School of the Communist Party of China (CPC). With a firm grounding in economics and governance, he has cultivated an academic profile that blends theoretical rigor with practical application. His scholarly work addresses the intersections of climate risk, industrial development, and technological transformation, particularly within the context of China’s evolving energy and policy landscape. His research reflects a commitment to exploring actionable solutions that align economic growth with environmental sustainability and energy security.

Professional Profile

SCOPUS

Education

Dr. Qiu earned his Ph.D. in Economics from the prestigious Party School of the Central Committee of the CPC, now recognized as the National Academy of Governance. His academic journey was grounded in comprehensive training in macroeconomics, industrial policy, and state governance, equipping him with the tools to dissect complex systemic interactions within China’s socio-economic framework. This background provided the foundation for his interdisciplinary approach to economic research, incorporating advanced econometric methods, risk analysis, and policy impact evaluation.

Experience

As an Associate Professor at the Guangdong Provincial Party School of the CPC, Dr. Qiu plays a pivotal role in shaping the intellectual discourse on economic transformation and governance. He is actively involved in training government officials and contributing to the academic development of future policy leaders. His teaching covers subjects related to industrial economics, climate economics, and innovation policy, while his administrative contributions support academic research and institutional collaboration. His experience extends beyond academia into policy consultancy, where he offers insights into the real-world implications of emerging economic trends.

Research Interest

Dr. Qiu’s primary research interest lies in industrial economic development, with a strong emphasis on the interface between environmental risks and technological advancement. His recent work addresses the dynamic interactions among climate physical risk (PRI), transition risk (TRI), and new energy vehicle (NEV) adoption in China. By applying time-varying parameter vector autoregression models with stochastic volatility, he introduces innovative tools for quantifying the evolving relationships between these variables. This methodological approach allows for a nuanced understanding of the cause-effect mechanisms underpinning industrial and environmental shifts, especially within the energy and transportation sectors.

He also explores asymmetric impacts and feedback loops—for instance, while physical climate risks may suppress consumer uptake of NEVs, transition-related regulatory pressures tend to encourage their adoption. Additionally, his findings highlight that while NEV growth mitigates physical climate risk, it may also exacerbate transition risk under certain conditions. These insights have significant implications for balancing industrial policy, environmental sustainability, and energy strategy.

Award

Dr. Qiu’s contributions have been recognized within academic and policy-making circles for their methodological sophistication and relevance to contemporary governance challenges. His research has been acknowledged for its impact on policy design and strategic planning in the field of green transition and industrial transformation. By offering empirical insights that align with China’s dual-carbon goals, his work is instrumental in shaping regional and national strategies for green innovation, energy resilience, and climate adaptation.

Publication

How do climate risks intersect with the rise of new energy vehicles in China?

  • Authors: Qiu, LH; Wong, XQ; (…); Song, YB

  • Journal: Economic Analysis and Policy

  • Year: 2025

The essential role of big data: Could it effectively mitigate non-performing loans?

  • Authors: Qiu, LH; Su, HD; (…); Qin, M

  • Journal: Romanian Journal of Economic Forecasting

  • Year: 2024

Are there digital tech bubbles in China?

  • Authors: Qin, M; Su, CW; (…); Lobont, OR

  • Journal: Technological and Economic Development of Economy

  • Year: 2024

Climate policy uncertainty, oil price and agricultural commodity: From quantile and time perspective

  • Authors: Wang, KH; Kan, JM; (…); Xu, SL

  • Journal: Economic Analysis and Policy

  • Year: 2023

The inevitable role of El Nino: A fresh insight into the oil market

  • Authors: Qin, M; Qiu, LH; (…); Jiao, W

  • Journal: Economic Research – Ekonomska Istraživanja

  • Year: 2020

Conclusion

Assoc. Prof. Dr. Lianhong Qiu stands out as a dynamic scholar whose interdisciplinary expertise contributes to the evolving discourse on sustainable industrial development in China. Through innovative methodological approaches, empirical rigor, and a strong commitment to real-world impact, he addresses pressing challenges at the nexus of climate change, economic transition, and technological innovation. His work not only advances academic thought but also provides actionable guidance for policymakers navigating the complexities of green growth and energy transformation. As China and the world face intensifying climate and energy challenges, Dr. Qiu’s research continues to offer vital pathways for aligning economic prosperity with environmental stewardship.