Hareesh Kumar Rapolu | Information Technology | Excellence in Research

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Mr. Hareesh Kumar Rapolu | Information Technology | Excellence in Research

Infoshare, United States

Hareesh Kumar Rapolu is a seasoned software engineer with over 10 years of experience in full-stack Java/J2EE development and microservices architecture. He is known for building scalable applications using Spring Boot, Axon, CQRS, and MongoDB, while leveraging cloud technologies like AWS and GCP. Hareesh has consistently delivered robust solutions for diverse industries, including retail and healthcare, with organizations such as Finish Line and Indiana’s Gateway to Work. His hands-on expertise in Angular, ReactJS, Kafka, Docker, and CI/CD pipelines reflects his commitment to modern DevOps and agile practices. An engineer driven by precision and innovation, Hareesh blends deep technical acumen with cross-functional collaboration, excelling in both back-end systems and UI development. His core strengths lie in event-driven architecture, RESTful services, database modeling, and system integration. Hareesh is also passionate about security practices, performance optimization, and automation. He continues to drive high-impact, cloud-native solutions tailored to enterprise-grade applications.

Publication Profile

Scholar

🎓 Education

Hareesh Kumar Rapolu holds a Master of Engineering from the University of Missouri, Columbia (2014–2015) with a GPA of 3.39, where he gained advanced knowledge in software design and systems engineering. Prior to this, he earned his Bachelor of Technology in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad (2009–2013), graduating with a 73% (GPA 3.5). His educational background laid a solid foundation in programming languages, algorithms, and data structures, which he has continuously built upon through professional practice. At both institutions, Hareesh demonstrated excellence in software development, participating in academic projects that emphasized distributed computing, object-oriented programming, and network security. His academic career fostered not only technical competence but also analytical thinking and team collaboration, which would shape his career in enterprise application development. These credentials have proven instrumental in his role as a full-stack developer and microservices architect in top-tier projects.

💼 Experience

Hareesh brings a decade of software engineering experience, currently serving as a Senior Java Software Engineer at Finish Line Inc. since July 2020. There, he led microservices development using Spring Boot, MongoDB, Kafka, GCP, and CI/CD pipelines. Prior to that, he worked on the Achieve Portal project (2019–2020), where he developed full-stack solutions with Angular, ReactJS, CQRS, and Axon frameworks. From 2018 to 2019, he contributed to E2BP, a portal enhancing user access to health and financial services. In each role, Hareesh played a pivotal part in end-to-end development, from UI/UX design to RESTful APIs, integrating cloud services, Elasticsearch, and containerization tools like Docker. He has expertise in implementing security filters, Spring Auditing Framework, and Redux-based state management. With experience spanning UI engineering, backend APIs, and cloud integration, Hareesh is recognized for delivering agile, scalable, and secure enterprise-grade applications across diverse domains.

🏆 Awards & Honors

While formal recognitions are not explicitly listed, Hareesh Kumar Rapolu’s extensive technical portfolio reflects a track record of excellence and high-impact contributions to complex software systems. His continued employment in high-responsibility roles across major organizations like Finish Line Inc. and the State of Indiana highlights his recognized value as a top-performing software engineer. He has successfully implemented performance-critical applications using Axon, Kafka, and Spring Boot, and has built secure, efficient APIs and UI platforms that are praised by stakeholders for robustness and scalability. Hareesh’s skillful use of CI/CD practices and container orchestration has led to reduced deployment times and improved development pipelines. His proactive leadership, cross-functional communication, and technical mentorship within Agile teams have made him a go-to developer for critical system components. Through innovation, reliability, and dedication, Hareesh continues to earn professional appreciation and repeat engagements in enterprise-grade projects.

🔬 Research Focus

Though primarily an industry practitioner, Hareesh Kumar Rapolu’s work reflects a strong alignment with research themes in cloud computing, microservices architecture, and event-driven systems. His focus lies in scalable system design using Axon Framework, CQRS, and Spring Boot with MongoDB for persistent event sourcing. Hareesh also explores cloud-native development, leveraging platforms like AWS and Google Cloud for big data processing and storage. He applies modern DevOps practices including Jenkins CI/CD pipelines, Docker containerization, and Elastic Stack for logging and monitoring. Security and API governance are other key interests, implementing OAuth2, CSRF filters, and API documentation via Swagger. On the frontend, he researches component reusability and performance optimization using Angular, React, and Redux. While not affiliated with academic research, his contributions to enterprise-grade systems often push the boundaries of modern software design principles and continuous delivery, echoing academic rigor and innovation in real-world development scenarios.

Conclusion

Hareesh Kumar Rapolu demonstrates exceptional technical and professional software engineering skills with rich experience in real-world, large-scale systems. However, for a Excellence in Research, it is recommended he supplement his strong industry foundation with academic publications, collaborative research, or patents to align more closely with the traditional metrics of research recognition. He is a promising candidate for applied research awards or innovation-focused recognitions, and with some strategic focus on scholarly outputs, could soon be a competitive contender for research excellence honors.

Publication Top Notes

Title: Authentication and authorization techniques – A case study on Multifactor authentication with AWS IAM
Year: 2024
Author: HK Rapolu

Title: Role of Mongo DB in Big Data. NoSQL solution for real-time data processing
Year: 2024
Author: HK Rapolu

Title: Comparative Analysis of Agile and Waterfall Methodologies in Modern Software Development
Year: 2024
Author: HK Rapolu

Title: DevSecOps for Java Applications: Implementing CI/CD Pipelines on AWS
Year: 2023
Author: HK Rapolu

Title: Testing strategies for Microservices- Manual to automated testing
Year: 2023
Author: HK Rapolu

Title: Scalable Microservices Development Using Java and AWS Lambda
Year: 2023
Author: HK Rapolu

Title: Selenium Automation analysis in E-commerce
Year: 2023
Author: HK Rapolu

Title: Spring security framework in microservices architecture- Implementing Gateway Integration
Year: 2023
Author: HK Rapolu

Title: Data management with NoSQL DB for enterprise-level applications
Year: 2022
Author: HK Rapolu

Title: A case study on containerizing applications with Docker and Apache Tomcat
Year: 2022
Author: HK Rapolu

Title: Automated testing in Java-Comparative analysis of Automated testing tools
Year: 2021
Author: HK Rapolu

Title: Comparative analysis on SOAP and REST- for Enterprise level applications
Year: 2021
Author: HK Rapolu

Title: Streaming Data Ingestion into BigQuery Using Streamsets
Year: 2021
Author: HK Rapolu

Title: Building Microservices with CQRS Axon Framework- challenges and best practices
Year: 2021
Author: HK Rapolu

Sujata Basyal | Control System | Best Researcher Award

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Ms. Sujata Basyal | Control System | Best Researcher Award

Research Assistant at Auburn University, United States

Sujata Basyal is a passionate mechanical engineer and researcher from Nepal, currently pursuing her Ph.D. at Auburn University. With a strong foundation in nonlinear control and robotics, she works at the CARE Lab developing robust, adaptive, and intelligent control strategies. Sujata’s journey spans from mechanical design roles in Nepal to cutting-edge research in the U.S. She has co-authored numerous journal and conference papers on exoskeletons, deep neural networks, and control systems. Beyond academia, she’s a community leader, active volunteer, and a dedicated advocate for women in engineering and STEM education. 🌍🤖📚

Publication Profile

Google Scholar

Academic Background

Sujata holds a Ph.D. (in progress) and an M.S. in Mechanical Engineering from Auburn University, where she’s a Graduate Research Assistant in the CARE Lab. She earned her Bachelor’s degree in Automobile Engineering from Tribhuvan University, Nepal. Her academic path is marked by merit scholarships, fellowships, and an impressive research portfolio. Through her studies, she has gained deep expertise in nonlinear systems, control theory, and rehabilitation robotics. Her educational journey reflects a blend of academic rigor and hands-on innovation, both in Nepal and the United States. 🎓🇳🇵

Professional Background

Sujata’s experience ranges from research-intensive roles in the U.S. to industry-level engineering in Nepal. At Auburn, she designs robust control systems for rehabilitation robotics. Before that, she worked as a Warranty Executive at Agni Group and as a Mechanical Design Engineer and Project Supervisor at multiple firms in Kathmandu. Her roles included product design, team leadership, and service engineering. She has also interned at Go Ford, gaining hands-on experience with vehicle diagnostics and maintenance. Her career blends practical skills, technical depth, and global exposure. 🔧🌐📈

Awards and Honors

Sujata has been recognized with prestigious honors like the Presidential Graduate Research Fellowship and EPSCoR Graduate Scholars Program at Auburn University. She received the 100+ Women Strong Travel Fellowship and multiple merit scholarships throughout her undergrad. In Nepal, she secured a national RDI grant and won robotics competitions, including at IIT Bombay and Robotics Association of Nepal. These awards reflect her excellence in academics, leadership, innovation, and her commitment to advancing women and technology in engineering. 🥇🎖️👩‍🏫

Research Focus

Sujata’s research focuses on developing robust and adaptive control strategies using Lyapunov theory, deep neural networks, and concurrent learning. Her work addresses challenges in uncertain, nonlinear, and switched dynamic systems with applications in rehabilitation robotics, such as exoskeleton control, and networked control systems. She integrates artificial intelligence and control theory to build systems that are intelligent, responsive, and resilient. Her innovative research aims to enhance human-robot interaction, particularly for medical and assistive technologies. 🤖📊🧠

Publication Top Notes

📘 Robust Control of a Nonsmooth or Switched Control Affine Uncertain Nonlinear System Using a Novel RISE-Inspired Approach
 Year: 2023 | Cited by: 4

🦿 Deep Neural Network Based Saturated Adaptive Control of Muscles in a Lower-Limb Hybrid Exoskeleton
 Year: 2023 | Cited by: 2

🧠 Neuromuscular Model-free Epistemic Risk Guided Exploration (NeuroMERGE) for Safe Autonomy in Human-Robot Interaction
 Year: 2024 | Cited by: 1

⚙️ RISE-Like Saturated Control for Non-Smooth and Switched Non-Linear Systems
 Year: 2023 | Cited by: 1

Conclusion

Sujata Basyal is an outstanding emerging researcher whose academic journey, innovative contributions, and community engagement collectively mark her as a highly deserving candidate for the Best Researcher Award. With a strong academic foundation through her ongoing Ph.D. and prior M.S. in Mechanical Engineering from Auburn University, her work focuses on nonlinear control, rehabilitation robotics, and neural networks—fields at the forefront of engineering innovation. She has authored 3 journal papers and 18+ conference publications in top-tier venues like ACC, CDC, ICORR, and IMECE, showcasing both depth and breadth of research. Her work on adaptive and Lyapunov-based control strategies not only advances theory but also translates into impactful real-world applications such as hybrid exoskeleton systems. Recognized through prestigious fellowships like the Presidential Graduate Research Fellowship and the EPSCoR GRSP, Sujata has also demonstrated excellence through national and international robotics awards. Her leadership roles, mentoring, and active membership in organizations like ASME and SWE underscore a commitment to academic, professional, and community development. In every dimension—scholarship, innovation, leadership, and impact—Sujata Basyal exemplifies the caliber of a Best Researcher Award recipient.

Tianyu Zhang | Digital operations | Best Researcher Award

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Dr. Tianyu Zhang | Digital operations | Best Researcher Award

PhD student at Beijing Institute of Technology, China

Dr. Tianyu Zhang is a Ph.D. candidate in Management Science and Engineering at the Beijing Institute of Technology (BIT), China. He holds a Double Bachelor’s Degree in Economics from Peking University and a Bachelor’s Degree in Opto-Electronics Information Science and Engineering from BIT. His research focuses on blockchain adoption, supply chain finance, innovation diffusion, and decision-making models. He has published in high-impact journals like Omega and Journal of Business Research. A recipient of multiple First-Class Academic Scholarships , Dr. Zhang is skilled in agent-based modeling, data visualization, and analytical modeling.

Publication Profile

Scopus

Educational Background 🎓📚

Dr. Tianyu Zhang is currently pursuing a Ph.D. in Management Science and Engineering at the Beijing Institute of Technology (BIT), China . He previously earned a Double Bachelor’s Degree in Economics from Peking University (2014-2017) . Additionally, he holds a Bachelor’s Degree in Opto-Electronics Information Science and Engineering from BIT (2013-2017) . His diverse academic background integrates engineering, economics, and management, providing a strong foundation for his research in blockchain technology, supply chain finance, and innovation diffusion. Through his interdisciplinary expertise, Dr. Zhang contributes significantly to advancing data-driven decision-making and financial technologies.

Research Experience 🔬📖

Since 2019, Dr. Tianyu Zhang has been a principal member of a prestigious research project funded by the National Natural Science Foundation of China (NSFC) . His work focuses on developing a risk alert mechanism for the synergistic operation of the P2P lending system  (Project Ref. No. 71873015). This research aims to enhance financial stability and risk management strategies in the rapidly evolving digital finance sector. By leveraging advanced analytical models and data-driven approaches, Dr. Zhang contributes to shaping a more secure and efficient financial ecosystem in China.

Honors & Awards 🏆🎓

Dr. Tianyu Zhang has received multiple prestigious academic honors for his outstanding achievements . In 2020, he was recognized as an Outstanding Student at Beijing Institute of Technology (BIT) 🏛️. He has also been awarded the First-Class Academic Scholarship multiple times, including in 2018, 2017, and consecutively from 2014 to 2016. In 2017, he was honored as an Excellent Graduate Student of BIT, reflecting his dedication to academic excellence and research innovation . These accolades highlight his exceptional performance, intellectual rigor, and commitment to advancing knowledge in his field.

Research Interests 🔍📊

Dr. Tianyu Zhang’s research focuses on emerging technologies and decision sciences . His expertise includes blockchain and supply chain finance , where he explores financial innovations and risk management. He is also passionate about innovation diffusion , studying how new technologies spread in competitive markets. His work in agent-based modeling  helps simulate complex systems, while his proficiency in multiple case study analysis  enhances strategic decision-making. Additionally, he specializes in multiple-criteria decision making , developing frameworks for optimal choices in uncertain environments. His research contributes to advancing business strategies and technological innovations.

Publications 📚📝

  • The impacts of blockchain adoption on a dual-channel supply chain with risk-averse members 🏭🔗
    Year: 2023

  • Analyzing the diffusion of competitive smart wearable devices: An agent-based multi-dimensional relative agreement model ⌚📈
    Year: 2022

  • Innovation adoption of blockchain technology in supply chain finance 🔗💰
    Year: 2022

  • A group consensus reaching model balancing individual satisfaction and group fairness for distributed linguistic preference relations 🤝⚖️
    Year: 2024

  • Differential game theoretic analysis of the blockchain technology investment and carbon reduction strategy in digital supply chain with government intervention 🌍🔬
    Year: 2024

  • The contagion mechanism and governance strategy of corporate social irresponsibility of Chinese food companies 🍽️⚠️
    Year: 2024

  • A novel multi-attribute decision-making framework based on Z-RIM: an illustrative example of cloud service selection ☁️📊
    Year: 2020