Lakshmi narasimhan Srinivasagopalan | Computer Science | Excellence in Scientific Innovation Award

Mr. Lakshmi narasimhan Srinivasagopalan | Computer Science | Excellence in Scientific Innovation Award

Senior Technical lead Incedo United States

A seasoned Technology Evangelist with over 16 years of experience in digital transformation, enterprise solution architecture, and program management. Adept at leading large-scale IT projects, designing innovative solutions, and driving business transformation across healthcare, insurance, and technology industries. Recognized for expertise in cloud computing, DevOps, and Agile methodologies, delivering scalable enterprise applications with a focus on regulatory compliance (HIPAA) and process automation.

Profile

Research Gate

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๐ŸŽ“ Education

  • MBA in Finance & Financial Management Services โ€“ National Institute of Business Management (2010)
  • Masters in Information Technology โ€“ Bishop Heber College, Trichy (2007)
  • Bachelor of Computer Science โ€“ Urumu Dhana Lakshmi College, Trichy (2005)

๐Ÿ’ผ Professional Experience

  • .Net Full Stack Developer, Moola, Texas, USA (2023 โ€“ Present) โ€“ Developed financial advisory applications integrating Angular and .Net Core, optimizing performance and database queries.
  • Senior .Net Lead, Momentum (Parallon), USA (2022 โ€“ 2023) โ€“ Led insurance data management system, implementing Azure Functions for real-time processing.
  • Sr. Technical Lead/Architect, Billing Center Integration (Amerisure), USA (2022) โ€“ Designed scalable API gateways for microservices communication.
  • Sr. Technical Lead, Lease Plan, USA (2021 โ€“ 2022) โ€“ Developed fleet management solutions using MVC frameworks and Angular.
  • Sr. Developer/Sr. Technical Lead, Standard Chartered Bank (2019 โ€“ 2021) โ€“ Managed critical banking operations architecture ensuring compliance.

๐Ÿ”ฌ Research Interests

Expertise in healthcare technology, cloud architecture, DevOps, artificial intelligence (AI), predictive analytics, and blockchain. Focused on leveraging technology for insurance risk assessment, premium pricing optimization, and healthcare system efficiency.

๐Ÿ† Awards & Honors

  • Global Recognition Award โ€“ GRA (2024)
  • Indian Achievers Award โ€“ IAF (2024)
  • International Research Excellence and Best Paper Award โ€“ SCIFAX (2024)
  • Business Community Award โ€“ Professional of the Year (2023)
  • Economic Development Award for Excellence in Healthcare (2021)
  • Outstanding Accomplishment โ€“ Cognizant (2019)
  • Star Team Award โ€“ TCS (2013)

๐Ÿ“š Publications Top Notes:

Predictive Analytics for Healthcare Insurance Risk Assessment Using Ensemble Learning Models โ€“ ISCSITR-IJCA (2024) ๐Ÿ”—

Reinforcement Learning for Optimizing Healthcare Insurance Premium Pricing โ€“ IJCET (2024) ๐Ÿ”—

Enhancing Health Insurance Portals: Development and Maintenance of Multi-Portal Architecture โ€“ IJSR (2024) ๐Ÿ”—

Optimizing RM Solutions for Small Business Health Care Benefits โ€“ IJSR (2024) ๐Ÿ”—

Leveraging Technology for Healthcare Improvement: The Barrier Tracking Tool (BTT) โ€“ IJSR (2024) ๐Ÿ”—

The Impact and Future of Computer Applications in Various Sectors using the IoT concept of Augmented Reality

Examining the Link Between Healthcare Coverage Structures and Quality Standards for Achieving Sustainable Long-Term Health Outcomes

Enabling Interoperability in Healthcare Insurance Systems: A .NET Core-Based Framework for Flexible and Standardized Information Exchange

The Impact and Future of Computer Applications in Various Sectors using the IoT concept of Augmented Reality

Yang Yu | Robotics and Automation | Best Researcher Award

Dr. Yang Yu | Robotics and Automation | Best Researcher Award

Assistant research fellow Jiangsu University China

Yang Yu is an accomplished researcher in agricultural engineering, serving as an Assistant Researcher at Jiangsu University’s School of Agricultural Engineering. With a strong background in agricultural mechanization and informatics, Yang’s expertise lies in intelligent agricultural equipment and precision farming techniques.

Profile

Scopus

๐ŸŽ“ Education:

  • Ph.D. in Agricultural Mechanization Engineering, China Agricultural University (2017-2021)
  • Master’s in Agricultural Informatization, Henan Agricultural University (2015-2017)
  • Bachelor’s in Software Engineering, Henan Agricultural University (2010-2014)

๐Ÿง‘โ€๐Ÿ”ฌ Experience:

  • Assistant Researcher, School of Agricultural Engineering, Jiangsu University (2023-present)
  • Assistant Researcher, Key Laboratory of Intelligent Agricultural Equipment Theory and Technology, Jiangsu University (2022-present)
  • Assistant Researcher, School of Agricultural Engineering, Jiangsu University (2021-2022)
  • Active Post-Doc, Jiangsu University (2022-present)

๐Ÿ”ฌ Research Interests:

Yang Yu’s research focuses on developing advanced methodologies and technologies in intelligent agricultural equipment, multi-sensor information fusion, and precision farming for crop yield optimization. His work emphasizes efficient, non-clogging harvesting and dynamic soil analysis for tailored agricultural practices.

๐Ÿ† Awards:

  • Ongoing contributor to nationally funded agricultural research projects.
  • Participant in prestigious initiatives like the National Natural Science Foundation of China and the National “13th Five-Year” Key R&D Program.

๐Ÿ“„ Publications Top Notes:

Publication Title 1, Published in Journal Name (Year), Cited by X articles. [Hyperlink]

Publication Title 2, Published in Journal Name (Year), Cited by X articles. [Hyperlink]
(Full list and citations are customized based on further details)

National Natural Science Foundation of China, High-efficiency Non-clogging Harvesting Method for High-yield Super Rice, 2023-2026.

National Natural Science Foundation of China, Precise Variable-rate Corn Seeding Method, 2021-2024.

Ministry of Science and Technology, Variable Fertilization Operation Condition Detection Technology Device, 2017-2021.