Madhura K | Blockchain Technology | Best Researcher Award

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Dr. Madhura K | Blockchain Technology | Best Researcher Award

Dr. Madhura K, Manipal Institute Of Technology Bengaluru, India

Dr. Madhura K is an Assistant Professor (Senior Scale) in the Department of Information & Communication Technology at MIT, Bangalore. She holds a Ph.D. from Presidency University (2022), specializing in AI-driven Content Management Systems with Blockchain integration. With 13 years of teaching and 5 years of research experience, she has contributed extensively to academia with 7 journal publications, 4 conference papers, 10 workshops, and 2 published books. Passionate about cognitive computing, AI, and blockchain, she actively explores emerging technologies to enhance digital ecosystems.

Publication Profile

Google Scholar

🎓 Education

Dr. Madhura K earned her B.E. in Computer Science and Engineering from Visvesvaraya Technological University, K.V.G.C.E. Sullia (2008). She further pursued her M.E. in Computer Science and Engineering from Anna University, PMC TECH-Hosur (2015). In 2022, she obtained her Ph.D. from Presidency University, focusing on AI and Blockchain-embedded Content Management Systems with cognitive processing. Her multidisciplinary academic background equips her with expertise in intelligent data systems, machine learning, and secure content distribution.

🏆 Awards & Honors

Dr. Madhura K has been recognized for her research contributions in AI-integrated blockchain systems. She has received multiple academic accolades for her excellence in teaching and research, with awards for best paper presentations at international conferences. Her contributions to AI-driven content management and secure digital systems have earned her institutional recognition. She is an active member of scholarly communities, contributing to AI, blockchain, and cognitive computing research.

📚 Experience

Dr. Madhura K has 13 years of teaching experience, mentoring students in AI, blockchain, and data systems. She has guided research scholars in advanced computing domains, emphasizing secure content management and cognitive processing. With 5 years of research experience, she has worked on AI-powered content optimization and blockchain security. Her academic journey includes publishing in reputed journals, presenting at conferences, and organizing technical workshops to bridge theoretical learning with practical applications.

🔬 Research Focus

Dr. Madhura K’s research focuses on AI-driven Content Management Systems, integrating blockchain for enhanced security and cognitive computing for intelligent processing. She explores innovative AI models to automate content organization and retrieval, improving efficiency in digital ecosystems. Her work emphasizes decentralized networks, ensuring secure and transparent content access. Additionally, she investigates the role of deep learning in enhancing natural language processing for content optimization.

Publication Top Notes

1️⃣ Analysis of residual stress in SS321 laser butt-welded plates using finite element analysis – Cited by: 12 | Year: 2024 🏗️📊
2️⃣ Usage of blockchain in real estate business for transparency and improved security – Cited by: 7 | Year: 2022 🏠🔗
3️⃣ End2end unstructured data processing, confidential data structuring & storage using image processing, NLP, ML, and blockchain – Cited by: 3 | Year: 2022 🤖🔐
4️⃣ Designing an optimized confidential-data management system using preeminent access-control and blockchain – Cited by: 2 | Year: 2022 🔑📂
5️⃣ Survey on technologies, benefits, challenges, and future suggestions to improvise the data security of confidential academic records in India – Cited by: 2 | Year: 2021 🎓🔒
6️⃣ Applying cryptography and blockchain technology to secure an organization’s confidential documents – Cited by: 1 | Year: 2022 🔐🏢
7️⃣ Securing the organization documents in content management system with two levels of security using encryption and blockchain technology – Cited by: 1 | Year: 2021 📁🔗
8️⃣ An approach for securing organizational data using blockchain and cryptography – Cited by: 1 | Year: 2020 🛡️💾
9️⃣ IoT-based wireless networks in hospitals: Ensuring seamless communication in critical situations – Cited by: 0 | Year: 2025 🏥📡
🔟 Software-defined network (SDN)-based data server computing system – Cited by: 0 | Year: 2025 💾🌐

 

 

Rania Hamdani | Computer science | Best Researcher Award

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Mrs. Rania Hamdani | Computer science | Best Researcher Award

Mrs. Rania Hamdani, University of Luxembourg, Luxembourg

Rania Hamdani is a research scientist specializing in operational research, data management, and cloud architecture for Industry 5.0. Based in Luxembourg, she is currently affiliated with the University of Luxembourg, where she explores advanced methodologies for integrating and managing heterogeneous data sources. She holds an engineering degree in Software Engineering and has extensive experience in software development, AI, and DevOps. Rania has worked on multiple industry and academic projects, publishing three research papers in Ontology-Driven Knowledge Management and Cloud-Edge AI. With a strong background in programming, cloud computing, and AI-driven solutions, she has contributed to platforms ranging from job recommendation systems to adaptive human-computer interaction systems. Her expertise includes Python, SpringBoot, Kubernetes, and Azure DevOps. She is also an active member of IEEE and other technical organizations, promoting innovation and knowledge-sharing in AI and cloud technologies. 🌍💻🔬

Publication Profile

Orcid

🎓 Education

Rania Hamdani holds an Engineering Degree in Software Engineering from the National Higher School of Engineers of Tunis (2021–2024), where she specialized in advanced design, service-oriented architecture, object-oriented programming, database management, and operational research. Prior to this, she completed a two-year preparatory cycle at the Preparatory Institute for Engineering Studies of Tunis (2019–2021), undertaking intensive coursework in mathematics, physics, and technology to prepare for engineering studies. She also earned a Mathematics-specialized Baccalaureate from Pioneer High School Bourguiba Tunis (2015–2019), graduating with honors. Throughout her academic journey, she gained expertise in artificial intelligence, machine learning, cloud computing, and DevOps methodologies. Her education provided a solid foundation in programming languages, data processing techniques, and full-stack development. Additionally, she holds multiple Microsoft certifications in Azure fundamentals, AI, data security, and compliance, reinforcing her expertise in cloud-based solutions and AI-driven applications. 📚🎓💡

💼 Experience

Rania Hamdani is a research scientist at the University of Luxembourg, where she focuses on integrating and managing heterogeneous data sources for cloud-based decision-making. Previously, she was a research intern at the same institution, contributing to Ontology-Driven Knowledge Management and Cloud-Edge AI, with three published papers. She also worked as a part-time software engineer at CareerBoosts in Quebec (2021–2025), specializing in Python, Azure DevOps, Docker, and test automation. She gained industry experience through internships at Qodexia (Paris), Sagemcom (Tunisia), and Tunisie Telecom, working on smart recruitment platforms, employee management systems, and server monitoring solutions using SpringBoot, Angular, and PostgreSQL. Her technical expertise spans full-stack development, DevOps, AI-driven applications, and cloud computing. She has contributed to major projects, including an adaptive human-computer interaction system, a job recommendation system, and a problem-solving platform, demonstrating her versatility in research and software engineering. 🚀🖥️🔍

🏆 Awards & Honors

Rania Hamdani has been recognized for her outstanding contributions to AI-driven cloud computing and operational research. She received excellence awards during her engineering studies at the National Higher School of Engineers of Tunis and was among the top-performing students in her Mathematics-specialized Baccalaureate. Her research papers in Ontology-Driven Knowledge Management and Cloud-Edge AI have been acknowledged in academic circles, contributing to the advancement of Industry 5.0 technologies. She has also earned multiple Microsoft certifications in cloud and AI fundamentals, reinforcing her technical expertise. As an active member of IEEE and the Youth and Science Association, she has been involved in technology outreach and innovation-driven initiatives. Her leadership in ENSIT Junior Enterprise as a project manager further showcases her ability to lead and contribute to tech communities. These recognitions highlight her dedication to research, software development, and cloud-based AI applications. 🏅📜🌟

🔬 Research Focus

Rania Hamdani’s research focuses on operational research, data management, cloud-edge AI, and Industry 5.0 applications. She specializes in ontology-driven knowledge management, exploring methodologies for integrating heterogeneous data sources to optimize cloud-based decision-making processes. Her work includes artificial intelligence, machine learning, reinforcement learning, and human-computer interaction systems. She has contributed to projects involving job recommendation systems, adaptive human-computer interaction platforms, and cloud-based problem-solving platforms. Rania is particularly interested in scalable cloud architectures, leveraging technologies like FastAPI, Kubernetes, Docker, and Azure DevOps to build efficient AI-powered solutions. Her research also integrates graph databases, Apache Airflow, and big data analytics for enhanced data processing. By combining AI and cloud computing, she aims to develop innovative, data-driven solutions for automation, decision support, and optimization in various industrial applications. Her expertise bridges the gap between theoretical research and real-world software engineering. ☁️🤖📊

 

Publication Top Notes

Adaptive human-computer interaction for industry 5.0: A novel concept, with comprehensive review and empirical validation