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

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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

 

Dimitrios Spanos | Trustworthy AI | Best Researcher Award

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Mr. Dimitrios Spanos | Trustworthy AI | Best Researcher Award

PhD Student at Aristotle University of Thessaloniki, Greece

A passionate and forward-thinking AI researcher, he has steadily built a solid foundation in trustworthy intelligent systems through rigorous academic training and dynamic research involvement. With hands-on project experience across several EU-funded research initiatives, his focus remains on socially responsible and high-impact technological advancement. 🌍🤖

👤 Profile

ORCID

✅ Best Researcher Award

Dimitrios Spanos stands out as a highly promising academic researcher whose contributions to deep learning, trustworthy AI systems, and uncertainty estimation demonstrate a remarkable depth of understanding and originality. His consistent engagement with advanced AI methodologies and commitment to scientific impact make him a deserving nominee for the Best Researcher Award. 🏆

🎓 Education

He is currently pursuing a Ph.D. in Computer Science at the Aristotle University of Thessaloniki, specializing in Deep Learning Methodologies for Trustworthy Intelligent Systems. He previously earned a Master of Engineering in Electrical & Computer Engineering from the same institution with a strong academic record and a thesis in multi-view semi-supervised learning for image classification. 🎓📘

💼 Experience

He has held multiple research roles at the Artificial Intelligence & Information Analysis Lab, engaging in significant projects such as DeepLET, OpenDR, DeepFinance, and AMBROSIA, which deal with lightweight AI, autonomous perception, multimodal portfolio management, and biomedical fairness, respectively. Additionally, he gained early R&D experience through an internship at CERTH–ITI working on biometric detection systems. 🔬📊

🔬 Research Interest

His core research interests revolve around deep learning, uncertainty estimation, multimodal fusion, photonic neural networks, and trustworthy AI. He focuses on bridging the gap between advanced computational intelligence and real-world societal challenges, such as biomedical fairness and financial decision systems. ⚙️🧠💡

📝 Publication

Journal Article (2025):
D. Spanos, N. Passalis, A. Tefas — “Leveraging Subclass Learning for Improving Uncertainty Estimation in Deep Learning” — Neurocomputing, 2025

Conference Papers (2025):

  1. D. Spanos, N. Passalis, A. Tefas — “Reliable Uncertainty Estimation in Autonomous Systems via Feature Collapse Mitigation” — 8th IEEE ICPS, 2025

  2. D. Spanos et al. — “Sepsis Detection Exploiting Biomarker Analysis with Deep Neural Networks” — 8th IEEE ICPS, 2025

📚 His publications reflect an emphasis on reliable and responsible AI, combining theoretical innovation with domain application.

🏅 Honors & Awards

He was awarded a prestigious scholarship from the Hellenic Foundation for Research & Innovation (H.F.R.I.) in 2023, recognizing the value and future potential of his research in artificial intelligence and computational science. 🥇🎖️

📌 Conclusion

In light of his focused research trajectory, impactful publications, dedication to academic mentoring, and contributions to cutting-edge AI applications, Dimitrios Spanos exemplifies the qualities of an outstanding academic researcher. His record speaks of innovation, commitment, and the capability to lead transformative changes in science and society. 🌟📈