Mr. Ghazi Abbas | Financial Engineering | Research Excellence Award

Mr. Ghazi Abbas | Financial Engineering | Research Excellence Award

Dalian Uiversity of Technology | China

Ghazi Abbas is a researcher specializing in machine learning applications in finance and economics, with a particular focus on predicting default risk and financial risk management. His work explores interpretable hybrid stacking models for multi-class loan default prediction, contributing to data-driven decision-making in financial systems. His research is recognized in international journals, accumulating citations across Google Scholar and Scopus, reflecting measurable scholarly impact, with a current h-index of 1 and total citations of 8. Ghazi’s contributions highlight the integration of advanced computational techniques into economic modeling, demonstrating strong potential for innovation in financial risk prediction and management.

Citation Metrics (Google Scholar)

15

10

5

0

Citations 8

i10-index 0

h-index 1

       🟦     Citations   🟥 i10-index   🟩 h-index


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Marta Wiśniewska | Statistical Analysis | Research Excellence Award

Dr. Marta Wiśniewska | Statistical Analysis | Research Excellence Award

Warsaw University of Technology | Poland

Dr. inż. Marta Wiśniewska is a researcher in environmental engineering specializing in odour emissions, air quality protection, waste management, and sustainable urban environments. Her research addresses the identification, characterization, and mitigation of odour nuisance from municipal waste treatment systems, biogas plants, and urban infrastructure. She integrates field olfactometry, chemical sensor technologies, in situ measurements, and questionnaire-based social impact assessments to evaluate environmental comfort and public health implications. Her work contributes to circular economy strategies, environmental monitoring methodologies, and evidence-based decision support for urban and industrial systems. Her scholarly output demonstrates strong interdisciplinary relevance and impact in environmental protection research.

Citation Metrics (Scopus)

200

100

100

50

10

0

Citations
155

Documents
18

h-index
9

  🟦 Citations    🟥 Documents    🟩 h-index

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