Anas Rao | Data-Driven Decision Making | Best Researcher Award

Dr. Anas Rao | Data-Driven Decision Making | Best Researcher Award

Lecturer | UET Lahore | Pakistan

Dr. Anas Rao is a researcher at UET Lahore, Pakistan, specializing in data-driven decision making for advanced energy and mechanical systems. His work integrates machine learning, artificial intelligence, and statistical modeling to optimize hydrogen-enriched internal combustion engines, with a strong focus on NOx emission prediction, combustion analysis, and performance optimization. He applies ANNs, SVMs, and hybrid AI models to experimental and simulation data, enabling accurate, real-time decision support for cleaner and more efficient engine design and operation.

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Citations
778

Publications
25+

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14


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Otilia Manta | Artificial Intelligence | Innovative Research Award

Prof. Dr. Otilia Manta | Artificial Intelligence | Innovative Research Award

Otilia Manta at Romanian Academy/ Romanian American University | Romania

Otilia Manta, Prof. Dr., is a senior researcher and academic affiliated with the Romanian Academy and Romanian American University, whose work focuses on the intersection of economics, finance, and digital transformation. Her research addresses financial innovation, FinTech, artificial intelligence in management and education, sustainability, and economic resilience, with particular attention to policy design and institutional learning in emerging and European economies. Through bibliometric, empirical, and interdisciplinary approaches, she contributes to advancing knowledge on sustainable finance, digitalization, and evidence-based economic governance.

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Citations
551

Documents
76

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Xiangyu Wang | Artificial Intelligence | Research Excellence Award

Prof. Xiangyu Wang | Artificial Intelligence | Research Excellence Award

Executive director | East China Jiaotong University | China

Prof. Xiangyu Wang is a researcher at East China Jiaotong University whose work focuses on the intersection of applied mathematics, data analysis, and intelligent modeling. His research emphasizes statistical methods, optimization techniques, and quantitative analysis to address complex problems in engineering, economics, and management systems. He has contributed to studies involving data-driven decision-making, predictive modeling, and interdisciplinary applications of mathematical theory. Prof. Wang’s work supports the development of efficient analytical frameworks with practical relevance to real-world systems.

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Citations
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Documents
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Man Zhang | Artificial Intelligence | Best Researcher Award

Prof. Dr. Man Zhang | Artificial Intelligence | Best Researcher Award

Professor | Beijing University of Civil Engineering and Architecture Artificial Intelligence | China

Prof. Dr. Man Zhang is a scholar at Beijing University of Civil Engineering and Architecture whose research focuses on the integration of artificial intelligence, spatial data analysis, and urban and architectural studies. His work spans cultural heritage preservation, knowledge graph construction, and smart city analytics, applying advanced models such as GIS-based spatial diagnostics, data field theory, and machine learning. He has made notable contributions to digital heritage documentation, sustainable historic district conservation, and urban transportation demand analysis. Through interdisciplinary methods, his research supports evidence-based urban planning and sustainable development.

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Citations
51

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Mr. Serhii Savin | Data Science | Data Science Excellence Award

Mr. Serhii Savin | Data Science | Data Science Excellence Award 

Accomplished Data Scientist | Lyft | Poland

Mr. Serhii Savin is an accomplished data scientist specializing in artificial intelligence, machine learning, econometrics, and geospatial analytics, with extensive experience developing predictive and optimization models for real-world applications in transportation, finance, and technology. Mr. Savin holds a Master of Arts in Economics with a concentration in Business and Financial Economics from the Kyiv School of Economics in affiliation with the University of Houston, where he graduated with distinction and received a full merit scholarship for ranking in the top one percent of applicants. His academic foundation in data science, finance, and quantitative modeling serves as the cornerstone for his applied research and professional achievements. Mr. Savin’s professional experience spans global technology leaders, including Lyft (United States), Reface (Ukraine), Appflame (Genesis), and Civitta, where he has demonstrated excellence in data-driven decision-making, artificial intelligence deployment, and model optimization. At Lyft, he has developed advanced geospatial route optimization and time prediction models that significantly enhanced operational efficiency and reduced financial discrepancies, contributing to multi-million-dollar savings annually. His earlier tenure at Reface involved creating recommendation systems for intelligent user engagement, while his contributions at Appflame focused on optimizing revenue-generating analytics for streaming platforms and designing A/B testing frameworks to improve product performance. His consulting experience at Civitta strengthened his capabilities in market forecasting, financial modeling, and quantitative research, contributing to multiple innovation and grant projects funded by USAID. Mr. Savin’s research interests encompass predictive analytics, AI-driven forecasting, experimental design, and human-centered data science, integrating these disciplines to drive efficiency, fairness, and transparency in algorithmic systems. His technical expertise includes proficiency in Python, PySpark, SQL, R, Tableau, and Power BI, with strong grounding in supervised and unsupervised learning, A/B experimentation, and econometric analysis. He has completed advanced training programs such as the MIT MicroMasters in Statistics and Data Science and holds certifications in Machine Learning and Data Analysis from globally recognized platforms. Mr. Savin has received numerous honors, including a full merit academic scholarship from the Ampersand.Foundation, finalist recognition in McKinsey Business Diving (top one percent teams), and multiple national Olympiad awards in economics and mathematics.

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Featured Publications

  • Savin, S. (2023). Impact of Experts’ Forecast on UAH/USD Exchange Rate Volatility. KSE Working Paper Series, 12(3), 45–59. Citations: 18