sashi kiran vuppala |Artificial Intelligence | Young Researcher Award

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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

Tahir Cetin Akinci | Artificial Intelligence | Best Researcher Award

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Dr. Tahir Cetin Akinci | Artificial Intelligence | Best Researcher Award

👨‍🏫Profile Summary

Dr. Tahir Cetin Akinci, an accomplished scholar, holds a Bachelor’s in Electrical Engineering from Klaipeda, Lithuania, and earned his Master’s and Ph.D. in 2005 and 2010. As a Research Assistant at Marmara University and later at Istanbul Technical University, he demonstrated a commitment to electrical engineering research. Engaging globally, Dr. Akinci enriched his expertise as a visiting scholar at the University of California Riverside. His diverse research interests span electric energy systems, AI, and data analysis. Awarded the International Young Scientist Excellence and Best Researcher Awards in 2022, Dr. Akinci is recognized for impactful contributions to cutting-edge technologies.

🌐 Professional Profiles

 

🎓 Education:

Tahir Cetin Akinci embarked on his academic journey with a Bachelor’s degree in Electrical Engineering from Klaipeda, Lithuania, in 2000. This foundation paved the way for his pursuit of knowledge, leading to the successful completion of his Master’s and Ph.D. degrees in 2005 and 2010, respectively.

👨‍🔬 Research Positions:

From 2003 to 2010, Dr. Akinci dedicated his expertise as a Research Assistant in the Electrical Engineering Department at Marmara University in Istanbul, Turkey. Building on this experience, he continued his academic journey at Istanbul Technical University (ITU), where he further enriched his research portfolio.

🌍 Global Academic Engagement:

Dr. Akinci’s quest for knowledge and global perspective led him to assume the role of a visiting scholar at the University of California Riverside (UCR). This international exposure added a diverse dimension to his academic and research endeavors.

🧠 Diverse Research Interests:

Dr. Akinci’s research spans a wide spectrum of cutting-edge domains, including electric energy systems, renewable energy, artificial neural networks, deep learning, machine learning, cognitive systems, signal processing, and data analysis. His multidisciplinary approach reflects a keen interest in leveraging advanced technologies for innovative solutions.

🏆 Recognition and Awards:

In 2022, Dr. Akinci’s impactful contributions to research were celebrated with the International Young Scientist Excellence Award and the Best Researcher Award. These accolades signify not only his dedication to advancing knowledge but also the significant impact of his work on the global stage.

💡 Research Experience:

With a profound focus on Artificial Intelligence, Machine Learning, Cyber Security, and Data Analytics, Dr. Akinci’s research journey epitomizes a commitment to exploring cutting-edge technologies that reshape our understanding of various scientific and technological domains.

📚Top Noted Publication

  1. Automatic detection of brain tumors with the aid of ensemble deep learning architectures and class activation map indicators by employing magnetic resonance images
    • Published in 2022 Cited by 12

 

  1. Short-term wind speed forecasting system using deep learning for wind turbine applications
    • Published in 2020, Cited by 14

 

  1. Determination of optimum operation cases in electric arc welding machine using neural network
    • Published in 2011 Cited by 16

 

  1. Creating large language model applications utilizing langchain: A primer on developing llm apps fast
    • Published in 2023 Cited by 16

 

  1. Application of decision tree methods for wind speed estimation
    • Published in 2019 Cited by 17

 

 

 

  •                      Published in 2020 Cited by 32