Author Profile
Early Academic Pursuits
Dr. R. Sujatha began her academic journey with a Bachelor's degree in Electronics & Communication Engineering from Madras University, Chennai, India, in 1999, where she graduated with a distinction. She further pursued her Master's in Applied Electronics from Anna University, Chennai, in 2008, securing a first-class distinction with a remarkable grade of 82.25%. Her quest for knowledge continued as she attained her PhD in Information and Communication Technology from Anna University, Chennai, in 2017.
Professional Endeavors
With a career spanning over 24 years from June 9, 1999, to the present day, Dr. Sujatha has carved a niche for herself in academia and research. Currently holding the position of Senior Associate Professor in the Department of Embedded Technology at VIT University, Vellore Campus, she has displayed exemplary commitment to teaching and research. Her affiliations include senior memberships with IEEE and NASSCOM, certifying her prowess in the domain of Embedded Technology and IoT.
Contributions and Research Focus
Dr. Sujatha's research interests are diverse, with a primary focus on the Industrial Internet of Things (IoT), Data Engineering in the Cloud, and Information Security on cloud platforms. Her significant contributions to the field include pioneering work on IoT-enabled detection and prediction systems, efficient data transmission in industrial mobile communications, and security enhancements using advanced cryptographic techniques. Her publications span numerous peer-reviewed journals and conferences, addressing critical challenges and innovations in IoT, cloud computing, and data security.
Accolades and Recognition
Recognizing her expertise and contributions, Dr. Sujatha was honored with a Speaker Award at the UK Cloud Asia Summit 2019, held at Cambridge University, UK. She has also organized several international symposiums and conclave events, bridging the gap between industry and academia in IoT and cloud computing domains. Her accolades extend to consultancy projects for renowned organizations like Samsung Bangalore and Transcend Solar Systems, Chennai, solidifying her industry-academia collaboration credentials.
Impact and Influence
With an extensive list of research publications and funded projects, Dr. Sujatha's impact resonates across academia, industry, and research communities globally. Her innovative approaches in IoT, cloud computing, and information security have laid foundational frameworks for advancements in these domains. As the In-charge of the "Intelligent Industrial IoT and computing lab" at VIT, she mentors students and faculty, fostering a culture of innovation and excellence.
Legacy and Future Contributions
Dr. Sujatha's legacy is characterized by relentless pursuit of knowledge, innovative research, and collaborative endeavors. Her vision for the future revolves around achieving secured long-range data connectivity for Industrial IoT using 5G, LoRa networks, and Blockchain technologies. As she continues to mentor aspiring professionals and lead groundbreaking research initiatives, her contributions are poised to shape the future of Embedded Technology, IoT, and Cloud Computing domains globally.
In summary, Dr. R. Sujatha's illustrious career is a testament to her unwavering dedication, exemplary expertise, and pioneering contributions in the fields of Embedded Technology, IoT, and Cloud Computing. Her academic pursuits, professional endeavors, and impactful research have positioned her as a trailblazer, influencing generations of researchers, professionals, and innovators globally
NOTABLE PUBLICATION
- Detection of Post COVID-Pneumonia Using Histogram Equalization, CLAHE Deep Learning Techniques Rajkumar, S., Reddy, M.V.K., Janesh, V., Vinodhini, M. Inteligencia ArtificialThis link is disabled., 2023, 26(72), pp. 137–145
- An IoT-Based Deep Learning Approach for Online Fault Detection Against Cyber-Attacks Rajkumar, S., Sheeba, S.L., Sivakami, R., Prabu, S., Selvarani, A. SN Computer ScienceThis link is disabled., 2023, 4(4), 393
- Prediction of muscular paralysis disease based on hybrid feature extraction with machine learning technique for COVID-19 and post-COVID-19 patients Subramani, P., Srinivas, K., Kavitha Rani, B., Sujatha, R., Parameshachari, B.D. Personal and Ubiquitous ComputingThis link is disabled., 2023, 27(3), pp. 831–844
- Security Enhancement of Joint Procedure Based on Improved Elliptic Curve Cryptography in LoRaWAN Sujatha, R., Radovic, V. Wireless Personal CommunicationsThis link is disabled., 2023, 129(3), pp. 1471–1487
- Performance analysis of vehicle-to-everything communication using internet of LoRa computing for intelligent transportation system Vinodhini, M., Rajkumar, S. Intelligent Decision TechnologiesThis link is disabled., 2023, 17(2), pp. 577–594