Pawan Kumar Patidar | Machine Learning | Young Scientist Award

Published on by Young Scientists Awards

Mr. Pawan Kumar Patidar | Machine Learning | Young Scientist Award

Swami Keshvanand Institute of Technology, Management and Gramothan | India

Pawan Kumar Patidar is an academician and researcher in computer science and engineering with a strong dedication to teaching, research, and innovation. Over the years, he has contributed significantly to higher education through his work as an assistant professor in reputed institutions. His career reflects a balance of teaching core computer science subjects, mentoring students in technical projects, and participating in conferences, workshops, and faculty development programs. His scholarly pursuits include research in machine learning, artificial intelligence, cloud computing, and image processing, which have resulted in publications, patents, and book chapters with global recognition. Beyond academics, he has played vital roles in training and placement cells, organizing technical events, and fostering student engagement in innovation-driven activities. With a vision to contribute to the advancement of technology and education, he continues to explore new horizons in research while inspiring students to pursue excellence in both academics and professional life.

Profile

Google Scholar

Education 

Pawan Kumar Patidar has built a solid academic foundation in computer science and engineering, progressing from undergraduate to doctoral studies. He earned his Bachelor of Engineering in Computer Science from Government Engineering College, Bikaner, where he developed core technical expertise. Later, he pursued a Master of Technology in Computer Engineering at Poornima College of Engineering, Jaipur, where his dissertation focused on image processing techniques, enhancing his interest in research. To strengthen his academic career further, he enrolled in a doctoral program in Computer Engineering at Poornima University, Jaipur. His Ph.D. research emphasizes advanced machine learning, data analysis, and emerging computational technologies. Alongside his formal education, he has completed multiple practical training programs in software development, programming, and cloud computing, as well as certifications from platforms such as NPTEL and Microsoft. His consistent academic growth highlights his commitment to lifelong learning and pursuit of excellence in technical education and applied research.

Experience 

Pawan Kumar Patidar has extensive academic experience, having served as a faculty member in leading engineering institutes for more than a decade. He began his teaching career as a lecturer at Apex Institute of Engineering and Technology, where he introduced students to fundamental computer science concepts. He later advanced to assistant professor positions at VIT Jaipur, Poornima College of Engineering, and Poornima Institute of Engineering and Technology, where he taught a wide range of subjects, including object-oriented programming, theory of computation, database management, and cloud computing. At present, he is associated with Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, where he teaches undergraduate courses and guides students in projects and research activities. Alongside teaching, he has coordinated internships, technical workshops, national and international conferences, and innovation-driven hackathons. His experience demonstrates a commitment to both academic delivery and institutional development, fostering excellence in education, research, and student mentoring.

Awards and Honors 

Pawan Kumar Patidar has been recognized with multiple awards and honors for his academic and research contributions. He received prestigious titles such as the Young Research Award and Young Scientist Award, which acknowledge his impactful work in the field of computer engineering. His excellence as a faculty member has been celebrated through several institutional awards, including Best Faculty in Academics, Best Faculty in Research and Development, and Best Results Award, reflecting his dedication to student success and research outcomes. He has also achieved recognition through national certifications such as Microsoft Azure Data Fundamentals and Oracle Academy training. In addition, he has successfully completed multiple NPTEL-AICTE courses, earning commendable scores and certifications in cloud computing, database systems, and internet of things. His patents in machine learning applications and innovative system design further highlight his inventive spirit. Collectively, these achievements underscore his dedication to advancing research, academics, and professional skill development.

Research Focus 

The research focus of Pawan Kumar Patidar spans multiple domains in computer science and engineering, particularly emphasizing artificial intelligence, machine learning, and cloud computing. His work demonstrates a strong interest in applying computational techniques to address real-world challenges in healthcare, image processing, and system automation. He has contributed to the development of algorithms for disease prediction, stress detection, and smart automation, resulting in both publications and patents. His research also explores optimization algorithms, neural networks, and advanced filters for image denoising, reflecting his depth of expertise in applied machine learning. He has authored and co-authored numerous journal articles, conference papers, and book chapters, collaborating with academic peers in interdisciplinary studies. By integrating AI with emerging technologies such as IoT and cloud platforms, his research aims to bridge gaps between theory and practice. His scholarly contributions are directed toward creating innovative, scalable, and efficient solutions with societal and technological impact.

Publications

  • Title: Image de-noising by various filters for different noise
    Publication Year: 2010
    Citations: 375

  • Title: A fuzzy logic-based control system for detection and mitigation of blackhole attack in vehicular Ad Hoc network
    Publication Year: 2019
    Citations: 19

  • Title: Image Filtering using Linear and Non Linear Filter for Gaussian Noise
    Publication Year: 2014
    Citations: 13

  • Title: An Analysis of Internet-of-Things-Based Fire Detection and Alert Systems
    Publication Year: 2024
    Citations: 11

  • Title: A novel scheme for prevention and detection of black hole & gray hole attack in VANET network
    Publication Year: 2021
    Citations: 8

Conclusion

Pawan Kumar Patidar is a dedicated academician and researcher whose body of work demonstrates innovation, societal relevance, and a strong foundation for future contributions. His patents, publications, and prior awards make him a competitive candidate for the Young Scientist Award. With further emphasis on high-impact research publications, international collaborations, and broader interdisciplinary focus, he has the potential to emerge as a leading researcher in computer science and applied machine learning.

Hareesh Kumar Rapolu | Information Technology | Excellence in Research

Published on by Young Scientists Awards

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

Mohsen Ghorbian | Data Sience | Best Researcher Award

Published on by Young Scientists Awards

Dr. Mohsen Ghorbian | Data Sience | Best Researcher Award

Data Sience, Islamic Azad University of Qom Iran

Mohsen Ghorbian  is a forward-thinking computer scientist and researcher recognized for his impactful work in AI, machine learning, IoT, and blockchain within the biomedical and healthcare domain  With a robust portfolio of peer-reviewed publications  from 2020 to 2025, he has contributed to enhancing clinical decision-making and real-time health monitoring systems ⚙️. His interdisciplinary collaborations and leadership in intelligent systems development showcase his commitment to addressing real-world problems through innovative computational methods . He is widely cited and active in the global research community, holding both a Web of Science ResearcherID and ORCiD . Mohsen’s contributions bridge academic research and applied technology , making him a valuable thought leader in modern healthcare computing and serverless architectures.

Profile

Scholar

🎓 Education 

Mohsen Ghorbian has pursued a solid academic background in computer science and engineering , focusing on AI-driven health systems and intelligent computing . He holds advanced degrees, likely including a Ph.D.  with specialization in biomedical informatics, cloud computing, and IoT systems, although precise university details are not publicly listed . His educational journey is evident from his deep engagement in scholarly activities, high-level publication venues , and his active role in bridging computer science with clinical decision support and healthcare AI . The depth of knowledge reflected in his research output signifies extensive formal training in data mining, serverless architectures, blockchain security, and AI applications for medical and industrial domains . Through interdisciplinary learning and rigorous technical education, Mohsen has positioned himself as a specialist in deploying smart technologies in real-time biomedical environments .

💼 Experience 

Mohsen Ghorbian has a vibrant research career  from 2020–2025, with significant contributions to academia and technical development in AI, ML, IoT, and blockchain ecosystems . He’s co-authored and independently authored numerous papers across high-impact journals and conferences , indicating involvement in both individual research and collaborative projects . His work spans practical healthcare systems, including IoT-enabled real-time epilepsy monitoring , ML for hepatitis reduction , and serverless blockchain security for IoT drones . As an academic, he likely holds roles as a lecturer, assistant professor, or senior researcher at a tech or medical-oriented university . Mohsen also contributes to technological advancements through serverless computing, AI decision support, and smart biomedical applications, showcasing hands-on experience in research implementation, system modeling, and prototype development . His career reflects a blend of innovation, critical analysis, and application of computing to solve real-world healthcare challenges 🚑.

🏅 Awards and Honors 

Though specific titles of awards are not mentioned, Mohsen Ghorbian’s publishing record and research breadth imply recognition in academic and professional communities . His work’s inclusion in prestigious venues like Artificial Intelligence Review, Biomedical Signal Processing, and Cancer Treatment & Research Communications  suggests peer recognition and editorial approval for scholarly excellence . Being first author on key papers and collaborating with respected researchers highlights his growing authority in AI-healthcare integration . He is likely a recipient of conference presentation opportunities, research grants, or academic fellowships tied to intelligent systems and digital health technologies . Mohsen’s consistent output and forward-looking projects, such as generative AI for clinical decision-making and IoT-ML for epilepsy, position him as an emerging leader in computer science with international exposure . Holding identifiers like ORCiD and ResearcherID also reflects academic credibility and potential inclusion in expert panels or editorial boards .

🔬 Research Focus 

Mohsen Ghorbian’s research is deeply rooted in the convergence of artificial intelligence , Internet of Things , blockchain , and serverless computing —all applied to transformative healthcare solutions . His focus includes designing intelligent decision support systems, real-time biomedical monitoring platforms, and secure cloud-based environments for medical data processing and alerting systems . He explores how generative AI can empower clinical outcomes , applies machine learning to reduce diagnostic delays and mortality in diseases like hepatitis and lymphoma , and develops secure serverless infrastructures for drone-based and IoT-based healthcare delivery . His interdisciplinary approach integrates biomedical signal processing, bioinformatics, and systems engineering, aiming to make healthcare more predictive, personalized, and preventive . His work not only advances academic theories but also yields practical, deployable technologies bridging computer science with medicine .

✅ Conclusion

Dr. Mohsen Ghorbian presents a strong, evolving research profile with clear contributions to interdisciplinary, high-tech domains like AI-driven healthcare, blockchain-based IoT, and serverless computing. His publication record reflects technical innovation and academic consistency, positioning him as a worthy candidate for a Best Researcher Award, particularly in emerging technology or biomedical informatics domains.

Publication

  • Author: Aladib, L. & Lee, S.P.
    Title: Pattern Detection and Design Rationale Traceability: An Integrated Approach to Software Design Quality
    Year: 2018
    Citations: 10

 

  • Author: Aladib, L.
    Title: Case Study of Object Constraints Language (OCL) Tools
    Year: 2014
    Citations: 3

 

  • Author: Aladib, L., Su, G., & Yang, J.
    Title: Real-Time Monitoring of LTL Properties in Distributed Stream Processing Applications
    Year: 2025
    Citations: 0

 

  • Author: Aladib, L.
    Title: Detecting Design Pattern and Tracing Its Design Rationale
    Year: 2017
    Citations: 0

 

  • Author: Loay, A.
    Title: Detecting Design Pattern and Tracing Its Design Rationale / Loay Aladib
    Year: 2017
    Citations: 0

 

  • Author: Aladib, L.
    Title: Task Management System (TMS) for University of Malaya Research Student
    Year: 2015
    Citations: 0

 

  • Author: Aladib, L.
    Title: Case Study of Student Registration System (SRS) Domain
    Year: 2015
    Citations: 0

 

  • Author: Aladib, L., Fey, C.H., Ling, S.T.C., & Thamutharam, Y.N.
    Title: Case Study of Online Properties Auction System (OPAS) Domain
    Year: 2014
    Citations: 0

 

  • Author: Aladib, L., Ling, S.T.C., Thamutharam, Y.N., Rosli, M.N. bin, & Ridzuan, E.A.
    Title: Software Requirements Specification (SRS) Web Publishing System Domain
    Year: 2014
    Citations: 0