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

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.

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.