Shalli Rani | Computer Science | Best Researcher Award

Prof. Shalli Rani | Computer Science | Best Researcher Award

Professor | Chitkara University | India

Prof. Shalli Rani is a distinguished researcher in the fields of Internet of Things, Wireless Sensor Networks, Cloud Computing, and Machine Learning, with a prolific record of high-impact publications, books, patents, and editorial contributions. She has demonstrated exceptional leadership in guiding numerous PhD and ME students, fostering innovation and research excellence. Her work effectively bridges academia and industry through applied projects, including smart healthcare solutions, Industry 5.0 initiatives, and explainable AI systems. Recognized globally through invited talks, conference engagements, and editorial responsibilities in top journals, she has established herself as a thought leader in her domain. Her research contributions reflect both depth and breadth, combining theoretical rigor with practical relevance. Prof. Rani’s measurable research impact on Scopus is remarkable, with 4,400 citations, 311 documents, and an h-index of 34, highlighting her sustained influence and scholarly excellence in the international research community.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

1. S. Rani, R. Talwar, J. Malhotra, S. Ahmed, M. Sarkar, and H. Song, “A novel scheme for an energy efficient Internet of Things based on wireless sensor networks,” Sensors, vol. 15, no. 11, pp. 28603–28626, 2015.

2. S. Rani, S. H. Ahmed, and R. Rastogi, “Dynamic clustering approach based on wireless sensor networks genetic algorithm for IoT applications,” Wireless Networks, vol. 26, no. 4, pp. 2307–2316, 2020.

3. S. Bharany, S. Badotra, S. Sharma, S. Rani, M. Alazab, and R. H. Jhaveri, “Energy efficient fault tolerance techniques in green cloud computing: A systematic survey and taxonomy,” Sustainable Energy Technologies and Assessments, vol. 53, p. 102613, 2022.

4. G. S. Brar, S. Rani, V. Chopra, R. Malhotra, H. Song, and S. H. Ahmed, “Energy efficient direction-based PDORP routing protocol for WSN,” IEEE Access, vol. 4, pp. 3182–3194, 2016.

5. S. Rani, D. Koundal, M. F. Ijaz, M. Elhoseny, and M. I. Alghamdi, “An optimized framework for WSN routing in the context of Industry 4.0,” Sensors, vol. 21, no. 19, p. 6474, 2021.

Ranjith Kumar Ramakrishnan | Computer Science | Best Researcher Award

Mr. Ranjith Kumar Ramakrishnan | Computer Science | Best Researcher Award

Senior Software Developer | N2 Services, Inc | United States

Mr. Ranjith Kumar Ramakrishnan is a highly accomplished Technical Lead and Architect with extensive expertise in cloud-native systems, AI-driven applications, and enterprise architecture. With a strong foundation in Java, Spring Boot, and modern design patterns such as Microservices, CQRS, and Event Sourcing, he has successfully architected scalable, resilient solutions for complex business domains. His proficiency spans AWS cloud services, serverless architectures, DevOps pipelines, and container orchestration, enabling efficient and secure system delivery. Ranjith is also skilled in integrating AI technologies, including RAG architectures, OpenAI APIs, and vector databases, to build intelligent, full-stack applications. He has led large-scale cloud modernization projects, transforming legacy monoliths into event-driven, high-performance architectures, while collaborating effectively with cross-functional teams in Agile environments. Known for his technical depth, innovative problem-solving, and leadership, Ranjith demonstrates exceptional potential to contribute to both practical enterprise solutions and cutting-edge research in AI and cloud computing.

Profile:  Google Scholar | ORCID

Featured Publications

1. R. K. Ramakrishnan and J. J. Lekkala, “Decentralized GitHub Management: Blockchain Solution,” Authorea Preprints, 2025.

2. R. K. Ramakrishnan and J. J. Lekkala, “Evolution and Adoption of Java Programming Features: A Comparative Study of Generics and Lambda Expressions,” Evolution, vol. 86, p. 23, 2025.

3. R. K. Ramakrishnan, “Financial and Technological Considerations for Deploying Applications on Cloud Computing Platforms: A Case Study of AWS,” 2025.

4. R. K. Ramakrishnan, M. Sadineni, and J. J. Lekkala, “Enhancing Distributed System Reliability through Request-Level Fault Injection and Fine-Grained Tracing,” Authorea Preprints, 2025.

5. R. K. Ramakrishnan, A. Nayak, and J. J. Lekkala, “Integrating Cloud, Edge, and IoT,” Authorea Preprints, 2025.

Raoudha Ben Djemaa | Computer science | Best Scholar Award

Prof. Raoudha Ben Djemaa | Computer science | Best Scholar Award

ISITCOM, university of sousse, Tunisia

Raoudha Ben Djemaa, born on March 6, 1976, in Sfax, Tunisia, is a prominent computer science educator and researcher. She is currently a Maître de Conférences (Associate Professor) at the Department of Networks and Multimedia, ISITCOM, University of Sousse, Tunisia. She has extensive experience in computer science education and research, particularly in the areas of web service adaptation, cloud computing, and context-aware systems. Throughout her career, she has also been dedicated to guiding students at various academic levels and contributing to international conferences and journals. 📚💻

Profile

Google Scholar

Education

Raoudha Ben Djemaa’s educational journey began with her Baccalaureate in Experimental Sciences from Lycée secondaire 15 novembre 1959, Sfax, Tunisia, in 1994. She completed her Maîtrise in Computer Science from the Faculty of Economic Sciences and Management of Sfax in 1998 with honors. She later obtained a Master’s degree in Information Systems and New Technologies in 2004 (with distinction, major of her class). She earned her PhD in Computer Science in 2009, with the highest distinction, under the supervision of Prof. Abdelmajid Ben Hamadou. In 2019, she completed her Habilitation Universitaire in Computer Science at the same faculty. 🎓

Experience

Raoudha has held various teaching positions over the years. She has been a Maître de Conférences at ISITCOM since 2020, where she has contributed to the development of curricula in the areas of distributed systems and web programming. Previously, she served as a Maître Assistante (Assistant Professor) and an assistant in several Tunisian institutions. Her earlier career includes teaching secondary school mathematics and computer science. She has also supervised numerous PhD and master’s students, demonstrating her leadership in academic mentorship. 👩‍🏫

Research Interests

Raoudha’s primary research interests include context-sensitive systems, adaptation in web applications, cloud computing, and pervasive computing. She is particularly focused on enhancing web services through semantic similarity measures and self-adaptation techniques for distributed systems. Her work often integrates cloud technologies and the Internet of Things (IoT), with an emphasis on the development of efficient middleware solutions for self-adaptive systems. Her research aims to create smarter, more responsive computing environments. 🌐🔍

Awards

Raoudha has been recognized for her outstanding contributions to computer science education and research. Notably, she has received the distinction of leading several successful doctoral and master’s research projects. Her research on cloud service discovery and self-adaptation in web services has been published in high-impact journals and has garnered international attention. 🏆

Publications Top Notes

Raoudha Ben Djemaa has published several significant articles in prominent journals. Some of her notable publications include:

Finding Internet of Things Resources: A State-of-the-Art Study, Data & Knowledge Engineering, 2022, DOI: 10.1016/j.datak.2022.102025.

Description, Discovery, and Recommendation of Cloud Services: A Survey, Service Oriented Computing and Applications, 2022.

Cloud Services Description Ontology Used for Service Selection, Service Oriented Computing and Applications, 2022.

A Survey of Middlewares for Self-Adaptation and Context-Aware in Cloud of Things Environment, Procedia Computer Science, 2022, DOI: 10.1016/j.procs.2022.09.338.

Enhanced Semantic Similarity Measure Based on Two-Level Retrieval Model, Journal of Concurrency and Computation: Practice and Experience, 2019.

Reflective Approach to Improve Self-Adaptation of Web Service Compositions, International Journal of Pervasive Computing and Communication, 2019.

Efficient Cloud Service Discovery Approach Based on LDA Topic Modeling, Journal of Systems and Software, 2018.