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.

Profile: Orcid

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

 

Haonan Xu | Business Intelligence | Best Researcher Award

Assoc. Prof. Dr. Haonan Xu | Business Intelligence | Best Researcher Award

Dr. Haonan Xu is a distinguished scholar in the field of management science and engineering, specializing in multimodal transport, shipping economics, and supply chain management. His academic and research contributions have significantly advanced knowledge in these areas, particularly regarding AI integration in port operations, emission reduction in shipping supply chains, and multimodal transportation strategies. With a robust publication record in high-impact journals and recognition through prestigious awards, Dr. Xu continues to influence both academic and industrial landscapes. His work is characterized by a strong analytical approach, incorporating mathematical modeling, empirical analysis, and policy evaluation to address real-world transportation and logistics challenges.

Profile

Scopus

Education

Dr. Xu obtained his Ph.D. in Management Science and Engineering from Dalian Maritime University, where he was recognized as an excellent postgraduate. Prior to this, he completed his Master of Engineering in Logistics from Chongqing Jiaotong University, earning accolades for his volunteer work and research excellence. His undergraduate studies in Economics at the same university provided him with a solid foundation in economic theories and quantitative analysis. Throughout his academic journey, Dr. Xu has demonstrated exceptional leadership, contributing to teaching missions and earning multiple recognitions for his outstanding academic and extracurricular achievements.

Experience

Dr. Xu has a rich background in both academia and practical research. His teaching experience includes serving at Chongqing Jiaotong University, where he currently leads research initiatives. Earlier in his career, he contributed to educational development at Garden Primary School, successfully securing national funding for information technology projects. His work has extended to collaborative research on port operations and supply chain management, engaging with international scholars and policymakers to address critical global challenges in transportation and logistics.

Research Interests

Dr. Xu’s research primarily focuses on multimodal transport, shipping economics, and supply chain management. His studies explore the integration of AI in port decision-making, the impact of carbon reduction policies on shipping logistics, and strategies for optimizing rail-water multimodal transportation. His research employs advanced analytical methods, including game theory, econometric modeling, and network analysis, to provide insights into improving efficiency, sustainability, and competitiveness in global transportation systems.

Awards

Dr. Xu has received multiple prestigious awards for his academic and research excellence. These include:

  • First Prize for Thesis Award from the Chongqing Municipal Education Commission.
  • First Prize for Creative Education from the Chongqing Education Information Technology and Equipment Center.
  • Recognition as an Excellent Student Leader and recipient of the Outstanding Graduation Thesis award.
  • Chair of the Social Science Planning Program of Chongqing, leading a significant funded research project. These accolades highlight his contributions to both theoretical advancements and practical implementations in logistics and transportation research.

Selected Publications

Dr. Xu has published extensively in top-tier journals, with several of his works being highly cited. Below are some of his key publications:

“The impact of AI technology adoption on operational decision-making in competitive heterogeneous ports,” published in Transportation Research Part E (2024). This study examines the role of AI in enhancing port service quality and its implications for social welfare. (Cited by: Highly Cited in ESI)

“Emission reduction technologies for shipping supply chains under carbon tax with knowledge sharing,” published in Ocean & Coastal Management (2024). This paper explores the influence of carbon tax policies on green shipping technologies. (Cited by: High-impact environmental studies)

“Incentive policy for rail-water multimodal transport: Subsidizing price or constructing dry port,” published in Transport Policy (2024). It analyzes policy incentives for optimizing multimodal transportation efficiency. (Cited by: Notable transportation policy papers)

“The effects and conflicts of co-opetition in a rail-water multimodal transportation system,” published in Annals of Operations Research (2023). This study develops a multi-party game model for conflict resolution in multimodal transport. (Cited by: High-impact logistics research)

“International container intermodal competitiveness: an empirical study from Chinese hub ports,” published in Ocean & Coastal Management (2024). This empirical study evaluates the competitiveness of China’s multimodal transport hubs. (Cited by: Global trade logistics research)

“Economic-environmental coordination and influencing factors under dual-carbon goals: A spatial empirical analysis,” published in Environment, Development, and Sustainability (2024). The study uses network DEA to analyze sustainable transportation policies. (Cited by: ESI Highly Cited)

“The study of OEM/ODM supply chain decision-making considering supply risk,” published in China Management Science (2024). It develops a multi-party game model to address supply chain risk management. (Cited by: Supply chain strategy scholars)

Conclusion

Dr. Haonan Xu’s academic and research journey exemplifies his commitment to advancing the fields of transportation, logistics, and supply chain management. His work integrates innovative methodologies with real-world applications, influencing both policy and industry practices. With a strong publication record, notable awards, and active participation in funded research projects, he continues to contribute significantly to the academic and professional community. His research not only enhances theoretical knowledge but also provides actionable insights for improving efficiency and sustainability in global transport systems.