Eugenia Bitsani | Data Governance | Distinguished Scientist Award

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Prof. Eugenia Bitsani | Data Governance | Distinguished Scientist Award

Professor at University of the Peloponnese | Greece

Prof. Eugenia P. Bitsani is a political scientist and Professor at the University of the Peloponnese specializing in cultural policy, intercultural relations, and cultural heritage management, recognized for her interdisciplinary and transdisciplinary research integrating regional development, cultural systems, and socio-cultural strategy, with extensive publications in multiple languages and authorship of key works on cultural management and human resources, alongside significant experience as a scientific project manager in international programs and as a consultant contributing to strategic planning and policy development across public and private sector cultural initiatives.

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Megha Agarwal | Bioinformatics Databases | Research Excellence Award

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Dr. Megha Agarwal | Bioinformatics Databases | Research Excellence Award

Research Scientist at Stanford University | United States

Dr. Megha Agarwal is a postdoctoral researcher in the Department of Pediatrics at Stanford University School of Medicine, specializing in human iPSC-based disease modeling and developmental cardiology, with expertise in CRISPR/Cas9 genome editing, functional genomics, and multi-omics analysis, integrating computational biology, machine learning, and advanced imaging to investigate congenital heart disease mechanisms, while contributing to high-impact research in stem cell biology, skeletal muscle development, and translational biomedical science through interdisciplinary and data-driven approaches.

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Jiahui Tang | Data Modeling and Database Design | Research Excellence Award

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Ms. Jiahui Tang | Data Modeling and Database Design | Research Excellence Award

Doctor at Shanghai Polytechnic University | China

Dr. Jiahui Tang is a researcher at Shanghai Polytechnic University specializing in operations and management, with a focus on data-driven optimization and pricing strategies, known for developing the innovative DDD (Data Collation, Demand Learning, Decision Optimization) algorithm that leverages limited real-world hotel data to infer demand parameters, optimize pricing decisions, and enhance revenue performance through a balance of exploration and exploitation, with validated results published in SCI-indexed journals such as Mathematics.

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Featured Publications

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Experience-Led Learning Optimization Model for Hotel Pricing
– Operations Research / Pricing Analytics
DDD Algorithm: Data Collation, Demand Learning, Decision Optimization
– Data-Driven Decision Systems
Demand Inference from Sparse Data Environments
– Mathematical Modeling
Revenue Optimization under Uncertain Demand
– Operations & Management
Computational Complexity in Pricing Algorithms
– Applied Mathematics (SCI Journal: Mathematics)