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

 

Ms. Reem Alshahoomi | Data science | Best Researcher Award

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Ms. Reem Alshahoomi | Data science | Best Researcher Award

Ms. Reem Alshahoomi | Zayed University and Creator Transactions | United Arab Emirates

Ms. Reem Alshahoomi is an ambitious and driven researcher whose academic and professional journey reflects her dedication to innovation and excellence in the fields of Artificial Intelligence, Machine Learning, and Data Science. Currently pursuing her Management Information Systems degree with a specialization in Business Intelligence at Zayed University, she has consistently demonstrated outstanding academic performance, earning a place on the Dean’s List for six semesters. Her commitment to personal and professional growth is evident through her active participation in workshops, research conferences, internships, and collaborative projects. Reem stands out as a forward-thinking individual, merging theoretical knowledge with practical applications to address real-world challenges using cutting-edge technologies.

Professional Profile

SCOPUS

Summary of Suitability

Ms. Reem Alshahoomi is a highly talented and emerging researcher specializing in Artificial Intelligence (AI), Machine Learning, Natural Language Processing (NLP), and Data Science. With her exceptional academic achievements, impactful research contributions, and industry-oriented innovations, she demonstrates strong potential and suitability for the Best Researcher Award.

Education

Ms. Reem Alshahoomi educational journey has been marked by exceptional academic achievements and continuous learning. At Zayed University, she has focused on Management Information Systems, concentrating on Business Intelligence, which has allowed her to develop strong technical and analytical skills. Her academic excellence has been recognized repeatedly through her sustained placement on the Dean’s List. She has actively sought opportunities beyond the classroom, attending specialized workshops and training programs related to Artificial Intelligence, Machine Learning, Python Programming, R Programming, and Big Data Analytics. These efforts have significantly enhanced her understanding of technological advancements and equipped her with practical skills required to succeed in research, innovation, and industry applications.

Experience

Ms. Reem Alshahoomi professional journey demonstrates her ability to translate theoretical knowledge into impactful, real-world solutions. During her internship at ADNOC Sour Gas, she contributed to groundbreaking innovations by developing a machine learning-based prediction model using Python to detect flaring events, a solution designed to reduce operational costs, minimize pollution, and support sustainability goals. She also developed training materials for organizational capacity building and supported digital wellbeing initiatives, ensuring knowledge transfer and operational continuity for future interns. Furthermore, she collaborated with OXY on projects requiring advanced data-driven decision-making techniques, enhancing her understanding of real-time analytics and industrial applications. Her practical exposure to large-scale datasets and predictive modeling has strengthened her expertise in designing AI-powered solutions for critical business challenges.

Research Interests

Ms. Reem Alshahoomi research interests are diverse yet deeply interconnected, focusing on Artificial Intelligence, Natural Language Processing (NLP), Machine Learning, Data Science, and Big Data Analytics. Her work emphasizes the application of emerging technologies to solve complex societal and industrial challenges. One of her key projects explored the role of NLP in abstract datasets to improve virtual assistant devices, demonstrating her capability to integrate AI methodologies into practical use cases. She has also worked on machine learning approaches to combat fake news, showcasing her interest in building innovative solutions for digital security and trust. Through her contributions, Reem has developed a strong passion for leveraging AI-driven models to enhance efficiency, sustainability, and human-computer interaction.

Awards

Ms. Reem Alshahoomi has achieved several notable milestones that reflect her dedication and excellence. Her exceptional academic performance has been recognized through her continuous placement on the Dean’s List for six semesters. She has actively participated in the Undergraduate Research Conference (URC) , where she presented her work on natural language processing and its applications in virtual assistant technologies. Additionally, her innovative contributions during her ADNOC internship have been acknowledged through the patent process initiated for her project, further cementing her role as an emerging leader in research and innovation. These recognitions highlight her ability to blend creativity, technical knowledge, and problem-solving skills in impactful ways.

Publication Top Notes

The Role of Natural Language Processing in Abstract Dataset to Improve Virtual Assistant Devices

Conclusion

Ms. Reem Alshahoomi exemplifies the qualities of an outstanding researcher, combining academic excellence, technical expertise, and innovative thinking. Her passion for Artificial Intelligence, Data Science, and Machine Learning has driven her to engage in impactful projects, contribute to pioneering research, and present her findings on international platforms. With her growing portfolio of publications, successful industrial collaborations, and ongoing patent process, she continues to strengthen her profile as an emerging thought leader in technology and innovation. Reem’s ability to integrate academic knowledge with practical problem-solving makes her an exceptional candidate for the Best Researcher Award, positioning her as a future contributor to advancements in AI and data-driven solutions

Assoc. Prof. Dr. Nana Yaw Asabere | Big Data | Best Researcher Award

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Assoc. Prof. Dr. Nana Yaw Asabere | Big Data | Best Researcher Award 

Assoc. Prof. Dr. Nana Yaw Asabere | Accra Technical University | Ghana

Assoc. Prof. Dr. Nana Yaw Asabere is a distinguished Associate Professor of Computer Science and currently serves as the Dean of the Faculty of Applied Sciences at Accra Technical University, Ghana. With a career spanning nearly two decades, he has established himself as a leading scholar, researcher, and academic leader in the fields of computer science, information and communication technology, and artificial intelligence. His expertise lies in teaching, supervising research, advancing innovative methodologies, and contributing impactful scholarship to the global academic community. Recognized both locally and internationally, Prof. Asabere has played a pivotal role in shaping academic excellence, research visibility, and technological advancement in Ghana and beyond.

Professional Profile

SCOPUS

GOOGLESCHOLAR

ORCID

Summary of Suitability

Assoc. Prof. Dr. Nana Yaw Asabere  is a highly accomplished researcher and academic leader in the field of Computer Science, ICT, and IT, with significant contributions to teaching, research, innovation, and academic leadership. His strong academic background (B.Sc., M.Sc., Ph.D.) is complemented by international training and recognition, including a Chinese Government Scholarship for his Ph.D., where he developed and evaluated novel algorithms to address complex challenges in socially-aware recommendation systems.

Education

Assoc. Prof. Dr. Nana Yaw Asabere educational journey demonstrates a solid foundation and progressive specialization in computer science and ICT. He completed a Bachelor of Science in Computer Science at the Kwame Nkrumah University of Science and Technology in Ghana, followed by a Master of Science in Information and Communication Technologies at Aalborg University, Denmark. He was later awarded a prestigious scholarship from the Chinese Government through the Chinese Scholarship Council to pursue his Doctor of Philosophy in Computer Science at Dalian University of Technology, China. His doctoral work significantly advanced socially-aware recommendation systems for smart conferences, where he designed and evaluated multiple algorithms addressing complex computational challenges. This robust academic training has underpinned his innovative contributions to teaching and research.

Experience

With more than eighteen years of teaching and research experience, Assoc. Prof. Dr. Nana Yaw Asabere has contributed substantially to both undergraduate and postgraduate education. He has held several leadership positions at Accra Technical University, including Head of the Department of Computer Science, Director of the Directorate of Research, Innovation, Publication and Technology Transfer, and Coordinator for Non-Tertiary and Professional Programmes. His academic leadership spans over six years, during which he has fostered innovation, research visibility, and institutional development. Beyond administration, he remains actively engaged in curriculum design, research mentorship, and the dissemination of knowledge through lectures, conferences, and international collaborations.

Research Interests

Assoc. Prof. Dr. Nana Yaw Asabere research focuses on cutting-edge areas in computer science, including software engineering, artificial intelligence, big data analytics, social recommender systems, data science, and ICT integration in education. His scholarly work has combined theoretical depth with practical applications, particularly in advancing recommendation systems for smart environments and applying AI in educational technologies such as e-learning and m-learning. He has authored and co-authored numerous high-impact journal articles and conference papers, many of which have been indexed in globally recognized databases such as Web of Science and Scopus. His contributions continue to shape emerging discussions in intelligent systems and their applications in education and society.

Awards

Assoc. Prof. Dr. Nana Yaw Asabere has received multiple recognitions for his innovative research and impactful contributions. His work on socially-aware recommendation algorithms earned him a Best Paper Award at a leading IEEE international conference on ubiquitous intelligence and computing. He has also received another Best Paper Award at a major IEEE international conference on adaptive science and technology. In addition to these honors, his research visibility, editorial contributions, and active involvement as a peer reviewer for top-tier journals and conferences reflect his standing as an influential researcher within the global academic community.

Publication Top Notes

An integrated multi-scale context-aware network for efficient desnowing

Improving Counseling Sessions Through an Interactive Web-Based Application in the Context of Higher Education

Acceptability and Feasibility of a Pilot Multifamily Group Intervention for Fostering Positive Racial Identity

Nighttime Object Detection with Denoising Diffusion-Probabilistic Models

Conclusion

Assoc. Prof. Dr. Nana Yaw Asabere embodies the qualities of an outstanding researcher, educator, and leader in computer science and ICT. His contributions extend beyond academic publications to institutional leadership, mentoring, and advancing technological innovation in education. With significant citations, impactful research, international recognition, and demonstrated excellence in teaching and leadership, he is a strong candidate for recognition through a Best Researcher Award. His work continues to inspire young scholars, advance computational sciences, and promote the integration of technology for societal benefit.