Jihyun Kim | Data-Driven Decision Making | Research Excellence Award

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Ms. Jihyun Kim | Data-Driven Decision Making | Research Excellence Award

Professor | University of Seoul | South Korea

Ms. Jihyun Kim is a researcher in Transportation Engineering with a focus on data-driven analysis of traffic systems and emerging mobility technologies. Her research explores traveler behavior, safety, and operational performance using advanced statistical modeling and simulation-based approaches. She has conducted studies on e-scooter operations on sidewalks using VR simulators to evaluate safety and applicability under realistic conditions. Her work also includes the development of intersection- and roundabout-specific gap acceptance models, incorporating environmental factors such as rainfall. Through her research, she contributes evidence-based insights to support safer, smarter, and more efficient urban transportation systems.

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Featured Publications

Sohong Dhar | Data Science | Analytics Excellence Award

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Dr. Sohong Dhar | Data Science | Analytics Excellence Award

Data Scientist at Jadavpur University | India

Dr. Sohong Dhar is a distinguished Information Scientist whose career bridges the fields of data science, digital marketing, and business analytics with remarkable proficiency. He is recognized for his ability to transform complex data into actionable insights that drive innovation, efficiency, and strategic growth across diverse industries. With expertise spanning machine learning, artificial intelligence, cloud computing, and advanced statistical analysis, he demonstrates an exceptional command of both theoretical and applied aspects of data-driven problem-solving. His multidisciplinary academic foundation, strengthened through advanced studies in data science and information science, has empowered him to approach challenges with analytical precision and creative foresight. Sohong has made impactful contributions to research, data modeling, and algorithmic development, delivering intelligent systems that enhance operational performance and decision-making processes. His fluency in multiple languages, combined with an understanding of literature and information systems, reflects a rare synthesis of technical acumen and intellectual versatility. He has collaborated effectively in cross-functional environments, employing platforms such as Microsoft Azure, SQL, and GCP to implement scalable and efficient data solutions. Beyond his technical mastery, Sohong’s work reflects a strong commitment to continuous learning, innovation, and excellence in the evolving domain of information and data science. His professional journey stands as a testament to the integration of analytical rigor, technological depth, and strategic thinking, establishing him as a forward-thinking expert dedicated to advancing the digital transformation landscape through intelligent, evidence-based insights and data-led decision frameworks.

Profile: Scopus

Featured Publications

Melba Kani, R., Karimli Maharram, V., Dhar, S., Samisha, B., Rajendran, P., & Ahmed, S. A. (2025). Automating grading to enhance student feedback and efficiency in higher education with a hybrid ensemble learning model.

Deepti, Nalluri, M., Mupparaju, C. B., Rongali, A. S., Dhar, S., & Ajitha, P. (2023). Retracted: Analyzing the impact of deep learning approaches on real-time data analysis in machine learning.

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