Juri Alsini | Artificial Intelligence in Education | Young Researcher Award

Young Researcher Award

Juri Alsini
King Abdulaziz University, Saudi Arabia
Juri Alsini
Affiliation King Abdulaziz University
Country Saudi Arabia
Scopus ID 60653964000
Documents 1
Subject Area Artificial Intelligence in Education
Event International Young Scientists Award
ORCID 0009-0000-1172-4221

Juri Alsini is a researcher affiliated with King Abdulaziz University in Saudi Arabia, with a research profile associated with the field of Artificial Intelligence in Education. The researcher has a documented Scopus author profile and an ORCID identifier, providing persistent identifiers for scholarly research and academic records.

This academic recognition page presents a structured overview of the researcher’s affiliation, scholarly profile, research contributions, publication record, and suitability for consideration under the International Young Scientists Award. The information is presented in a neutral academic format based on the supplied researcher and profile information.

Abstract

Juri Alsini is affiliated with King Abdulaziz University and has a scholarly profile connected with Artificial Intelligence in Education. The available profile information indicates one documented research document in Scopus and provides persistent researcher identifiers through Scopus and ORCID.[1][2] The research area places the researcher within an interdisciplinary domain involving artificial intelligence, educational technologies, learning systems, and the application of computational methods to educational contexts.

Keywords

Artificial Intelligence in Education; Artificial Intelligence; Educational Technology; Machine Learning; Digital Learning; Learning Analytics; Intelligent Educational Systems; Higher Education; Educational Innovation; Computational Education.

Introduction

Artificial Intelligence in Education is an interdisciplinary research area concerned with the use of computational intelligence, machine learning, data-driven methods, and intelligent systems to support teaching, learning, assessment, educational administration, and learner engagement. Research in this field can involve both technological development and the evaluation of how artificial intelligence affects educational practices.

Research Profile

The available research profile identifies Juri Alsini with King Abdulaziz University in Saudi Arabia and places the researcher’s subject area within Artificial Intelligence in Education. The associated Scopus author identifier is 60653964000, while the ORCID identifier is 0009-0000-1172-4221.

Researcher Juri Alsini
Institution King Abdulaziz University
Country Saudi Arabia
Research Area Artificial Intelligence in Education
Scopus Documents 1

Research Contributions

Research associated with Artificial Intelligence in Education may contribute to the development and evaluation of intelligent learning environments, adaptive educational technologies, automated or data-assisted assessment, personalized learning approaches, and analytical frameworks for understanding educational data. These areas combine principles from artificial intelligence with established educational methodologies.

Publications

The supplied profile information records 1 document associated with the researcher’s Scopus author record. For bibliographic accuracy, publication titles, authorship information, source titles, publication dates, and persistent identifiers should be verified directly against the relevant scholarly database or publisher record.

Research Impact

Research impact in Artificial Intelligence in Education can be considered through several dimensions, including scholarly contribution, relevance to educational challenges, methodological development, reproducibility, adoption by researchers or educational practitioners, and potential influence on future research. Persistent identifiers such as ORCID and author profiles such as Scopus can assist in accurately attributing scholarly work to individual researchers.

Award Suitability

The profile of Juri Alsini demonstrates an academic affiliation with King Abdulaziz University and research activity associated with Artificial Intelligence in Education. These characteristics are relevant to an award category focused on emerging or young researchers whose work contributes to contemporary scientific and technological fields.

Conclusion

Juri Alsini is an academic researcher affiliated with King Abdulaziz University, Saudi Arabia, with a research profile associated with Artificial Intelligence in Education. The supplied scholarly information includes a Scopus author record containing one document and an ORCID identifier that can support reliable researcher identification.[1][2] The profile provides a documented basis for consideration in the context of the International Young Scientists Award, subject to the official award criteria and independent evaluation of the researcher’s scholarly work.

References

  1. Elsevier. (n.d.). Scopus author details: Juri Alsini, Author ID 60653964000. Scopus.
    https://www.scopus.com/pages/authors/60653964000
  2. ORCID. (n.d.). Juri Alsini, ORCID iD 0009-0000-1172-4221.
    https://orcid.org/0009-0000-1172-4221
  3. International Young Scientists Award. (n.d.). Official award website.
    https://youngscientistawards.com/

sashi kiran vuppala |Artificial Intelligence | Young Researcher Award

Mr. sashi kiran vuppala |Artificial Intelligence | Young Researcher Award

Technical Architect, Tata Consultancy Services United States

Sashi Kiran Vuppala is a highly skilled Technical Architect and Senior Java Developer with over 10 years of experience in Java, microservices, BPM automation, cloud-native applications, and AI. Specializing in industries like banking, insurance, telecommunications, manufacturing, and aerospace, he is an accomplished leader in driving digital transformations, publishing research papers, and mentoring teams.

Publication Profile

Scholar

🎓 Education

Sashi completed his Bachelor of Engineering from Sathyabama University, India (2010-2014). He holds certifications such as Oracle Java SE 8 & 17 Developer and is a Certified Peer Reviewer with Elsevier Researcher Academy, showcasing his technical expertise in software development and academic contributions.

💼 Experience

With expertise in Spring Boot, Kafka, Camunda BPM, and cloud platforms like AWS and Azure, Sashi has led cloud migrations, enterprise-level transformations, and microservices architecture. He has been part of projects for Boeing, Citibank, and Bank of America and has received accolades like the TCS Applause Award for excellence.

🏆 Awards & Honors

Sashi has received several accolades, including the Applause Award at TCS (2025), Continuous Feedback Star Certificate (TCS 2022), and Spot Awards at DXC Technology. His achievements reflect his leadership in software engineering, cloud innovations, and BPM automation.

🔬 Research Focus

Sashi’s research revolves around BPM workflow automation, AI-driven fraud detection, cloud-native transformations, and microservices scalability. His work includes publications on AI in reinsurance, predictive fraud detection, and real-time XML data handling in aerospace operations.

📝 Conclusion

Sashi Kiran Vuppala is an accomplished technical architect and researcher with a robust background in AI-driven solutions, microservices, and cloud-native applications. His experience across multiple industries, combined with his technical expertise and leadership roles, makes him a highly suitable candidate for the Young Researcher Award. His contributions to cloud computing and AI, along with his ongoing mentorship and recognition through awards, underscore his potential to drive meaningful change in the tech industry. By expanding his focus to include patents, academic collaborations, and interdisciplinary research, Sashi can further solidify his position as a leading researcher in his field.

Publication Top Notes

Title: Preventing False Reinsurance Claims: Leveraging AI for Real-Time Anomaly Detection
Author: SK Vuppala

Title: Impact of Global Economic Shocks on Credit Risk Assessment Models in the Banking Industry
Author: SK Vuppala

Title: Trustless Reinsurance: How Distributed Ledger Technology Can Improve Transparency in Retrocession
Author: SK Vuppala