Rubini P | AI and Automation in Architecture | Women Researcher Award

Published on by Architecture Engineers

Dr. Rubini P | AI and Automation in Architecture | Women Researcher Award

Professor | CMR University | India

Dr. Rubini P is a Professor and Head of the Department of Computer Science and Engineering at CMR University, specializing in artificial intelligence, cloud computing, NoSQL databases, wireless sensor networks, and IoT-driven intelligent systems. She has held significant academic leadership roles, including serving as Dean In-charge, NBA and NAAC Coordinator, BOS and BOE member, session chair, and resource person for national and international academic forums, while guiding numerous UG, PG, and Ph.D. scholars across diverse research domains. Her scholarly contributions span secure IoT architectures, cloud security frameworks, synthetic data evaluation, smart agriculture solutions, autism detection systems, and advanced wireless communication models, reflected through impactful publications in reputed journals, conference proceedings, book chapters, textbooks, and a substantial patent portfolio comprising national and international grants. She has organized major conferences, delivered expert lectures, and actively contributed to global research communities through editorial board roles and reviewer responsibilities for esteemed journals and conferences. A certified AWS Academy Educator and Innovation Ambassador, she also holds multiple professional certifications in cloud technologies, artificial intelligence, machine learning, cybersecurity, databases, and networking, supported by prestigious awards recognizing her excellence in academics, research, and institutional leadership. Her research impact includes 39 citations, 29 publications, and an h-index of 4.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Tamizh Arasi G.S., Rubini P., Sriharipriya K.C., Shankar A., Bhushan B., Blockchain Assisted Secure Authentication Protocol for Aerial Surveillance in IoT-Based Smart Agriculture. Trans. Emerg. Telecommun. Technol., 2025.

2. Tamizharasi S., Rubini P., Saravana Kumar S., Arockiam D., Adapting federated learning-based AI models to dynamic cyberthreats in pervasive IoT environments,2025, Accepted.

3. Kiran A., Rubini P., Kumar S.S., Comprehensive review of privacy, utility and fairness offered by synthetic data. IEEE Access, 2025.

4. Binu C.T., Kumar S.S., Rubini P., Sudhakar K., Enhancing Cloud Security through Machine Learning-Based Threat Prevention and Monitoring: The Development and Evaluation of the PBPM Framework, 2024.

5. Koorapati K., Pandu R., Ramesh P.K., Veeraswamy S., Narasappa U., Towards a unified ontology for IoT fabric with SDDC. J. King Saud Univ. Comput. Inf. Sci., 2022.

Dr. Rubini’s work advances secure, intelligent, and scalable computing systems that strengthen digital infrastructure across IoT, cloud security, and AI-driven automation. Her research contributes to societal well-being through innovations in smart agriculture while supporting industry adoption of trustworthy and future-ready technologies. Her vision is to drive globally impactful technological solutions that enhance security, efficiency, and accessibility in an increasingly interconnected world.

Sudhakar K | AI and Automation in Architecture | Research Excellence Award

Published on by Architecture Engineers

Dr. Sudhakar K | AI and Automation in Architecture | Research Excellence Award

Associate Professor | Nitte Meenakshi Institute of Technology | India

Dr. K. Sudhakar is an Associate Professor at Nitte Meenakshi Institute of Technology, specializing in Computer Science and Engineering with expertise in machine learning, artificial intelligence, the Internet of Things, and cloud security. He has held key academic leadership roles across reputed institutions, heading CSE departments, coordinating accreditation processes, guiding numerous student projects, and contributing to academic quality enhancement. His research encompasses intelligent systems, IoT and cloud security frameworks, deep learning models, and brain–computer interface applications, resulting in a robust publication record that includes journal articles, IEEE proceedings, international conferences, books, and book chapters. He has advanced technological innovation through multiple patents published and granted across India, the United Kingdom, and Germany. His academic contributions extend to serving as a session chair, program chair, and resource person for conferences, FDPs, and training programs, reflecting his active engagement in scholarly and professional communities. He holds memberships in recognized professional bodies and has earned several awards for excellence in research and education, alongside numerous certifications in emerging technologies. His research impact includes research citations, documents, and h-index that reflect his continual contribution and scholarly influence: 17 citations, 20 publications, and an h-index of 2.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Sudhakar K., Niveditha S., Sumaiya N., Divyashree K., Geethanjali S.G., Revolutionizing communication protocols through IoT-enabled devices managed by brain–computer interfaces. Concepts and Applications of Brain-Computer Interfaces, 2025, pp. 63–78.

2. Lakshmi M., Sudhakar K., Manjunath P., Mazumder D., Tamilselvi B., Optimizing device performance with BCIs: a user-centric approach to brain data privacy. Concepts and Applications of Brain-Computer Interfaces, 2025, pp. 227–242.

3. Binu C.T., Kumar S.S., Rubini P., Sudhakar K., Enhancing cloud security through machine learning-based threat prevention and monitoring: the development and evaluation of the PBPM framework. Journal Publication, 2024, 19.

4. Sudhakar K.N., Shanthi M.B., Deepfake: an endanger to cyber security. International Conference on Sustainable Computing and Smart Systems, 2023, 17.

5. Ezhilarasu P., Prakash J., Krishnaraj N., Satheesh Kumar D., Sudhakar K., A novel approach to classify nondeterministic finite automata based on more than two loops and its position. SSRG International Journal of Computer Science and Engineering, 2014, 15.

Dr. K. Sudhakar’s research advances intelligent systems, IoT security, and machine learning frameworks that strengthen digital safety, enhance autonomous technologies, and support data-driven innovation. His contributions bridge academic research and real-world applications, enabling secure, scalable, and human-centric technological solutions for industry and society. He aims to drive impactful innovation that shapes resilient and intelligent digital ecosystems globally.