Vikas Verma | Computer Science | Young Scientist Award

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Mr. Vikas Verma | Computer Science
| Young Scientist Award

The ICFAI University, Jaipur | India

Dr. Vikas Verma’s research contributions focus extensively on Software Defined Networking (SDN), Machine Learning, and Network Optimization, emphasizing energy efficiency, intelligent routing, and data-driven automation. His doctoral research, “Flow Classification and Energy Efficient Routing in Software Defined Networks Using Machine Learning Techniques,” explores the integration of adaptive algorithms for sustainable network management. His projects, including “Routing Optimization for Software-Defined Networking Using Machine Learning Techniques and Multi-Domain Controller” and “Industry-Academia Collaboration of SME with Academics,” demonstrate practical applications of AI in networking and innovation ecosystems. Dr. Verma’s publications in high-impact journals and conferences, such as the Philippine Journal of Science, Suranaree Journal of Science and Technology, IEEE Xplore, and Springer CCIS, address key advancements in SDN, IoT-based smart farming, and quantum communication security. His work “Energy-Efficient Techniques in SDN: Software, Hardware, and Hybrid Approaches” and “Comparative Analysis of Quantum Key Distribution Protocols” highlight optimization in computing systems and secure data transmission. Additionally, he holds two UK design patents—one for an AI-driven finance management device and another for a medical diagnostic system using saliva-based biomarkers. His current research extends to privacy preservation, intelligent traffic classification, and predictive analytics, establishing his expertise in sustainable and secure intelligent network systems.

Featured Publications

Verma, V., & Jain, M. (2024). Energy-efficient techniques in SDN: Software, hardware, and hybrid approaches. Philippine Journal of Science, 153(1).

Agarwal, N., & Verma, V. (2023). Comparative analysis of quantum key distribution protocols: Security, efficiency, and practicality. In Proceedings of the International Conference on Artificial Intelligence of Things (pp. 151–163).

Verma, V., Ramakant, Mathur, H., & Agarwal, N. (2022). IoT assisted smart farming using data science techniques. In 2022 IEEE World Conference on Applied Intelligence and Computing (AIC). IEEE.

Verma, V. (2017). Automatic mood classification of Indian popular music. International Journal for Research in Applied Science and Engineering.

Verma, V., & Jain, M. (2023). Optimization of routing using traffic classification in software defined networking. Suranaree Journal of Science and Technology, 30(1), 010198(1–8).*

Rounak Raman | Information Technology | Young Scientist Award

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Mr. Rounak Raman | Information Technology | Young Scientist Award

Netaji Subhas University of Technology | India

Mr. Rounak Raman research journey reflects a diverse and impactful engagement across multidisciplinary domains including Artificial Intelligence, Wireless Sensor Networks, IoT Security, and Neuroinformatics. At the forefront of innovation, multiple projects demonstrate a strong alignment with real-world challenges and technical excellence. The development of the EEG Data Analysis System and multimodal neurofeedback loop underlines expertise in biomedical signal processing and applied AI for cognitive enhancement, contributing to measurable improvements in attentiveness and engagement. In IoT and network optimization, the implementation of the Energy Aware Hybrid Clustering Protocol (EAHCP) showcased advancements in energy-efficient communication, achieving notable performance gains in scalability and mobility management. Research on secure IoT frameworks, such as the Hierarchical Key Rotation and Isolation Protocol (HKRISRP), reinforced resilience in wireless networks through lightweight cryptography and dynamic key rotation, enhancing both security and energy performance. Additional contributions in opportunistic networks introduced context-aware, trust-based, and collision-avoidant models that optimized data aggregation and reliability through intelligent decision mechanisms and trajectory optimization. The pursuit of Generative AI culminated in the development of SyntheX, a document analysis system integrating semantic search and transcription models to streamline enterprise knowledge management. Collectively, these works exemplify a strong commitment to advancing applied research in AI, cybersecurity, and intelligent network systems

Featured Publication

Raman, R., Yadav, A., Kukreja, D., & Sharma, D. K. (2025). CONTEXT-NET: A context-aware nexus-based aggregation protocol for opportunistic networks. Internet of Things, 25, 101809. https://doi.org/10.1016/j.iot.2025.101809

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