Published on by Global Diseases Research

Dr. Sivabalaselvamani Dhandapani | Diagnostic Tools | Best Researcher Award 

Associate Professor | Presidency University | India

Dr. D. Sivabalaselvamani, MCA, Ph.D. (SET Qualified), is an accomplished academician and researcher currently serving as an Associate Professor at the School of Information Science, Presidency University, Bengaluru, with a total experience of over 17.5 years. His research expertise spans artificial intelligence, data science, vehicular ad-hoc networks, and deep learning applications in healthcare and engineering. He has authored more than 54 Scopus-indexed papers and 70 Google Scholar publications, accumulating 271 citations and achieving an h-index of 7, reflecting his growing scholarly impact. He has also published a book titled “Introduction to AI and Data Science Applications for Engineering” with CRC Press (Taylor & Francis Group, 2025), co-authored with eminent international researchers. His innovative work has led to three published patents and two funded research projects, including one under the ICMR Ad-hoc Research Scheme. A recipient of multiple academic awards, including the Best Faculty Award (2013-14), Dr. Sivabalaselvamani continues to contribute significantly to interdisciplinary research, fostering innovation and guiding emerging scholars in computing and data-driven technologies.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

1. Cyril, C. P. D., Beulah, J. R., Subramani, N., Mohan, P., Harshavardhan, A., & Sivabalaselvamani, D. (2021). An automated learning model for sentiment analysis and data classification of Twitter data using balanced CA-SVM. Concurrent Engineering, 29(4), 386–395. Cited by: 110

2. Manikandan, S., Chinnadurai, M., Vianny, D. M. M., & Sivabalaselvamani, D. (2020). Real time traffic flow prediction and intelligent traffic control from remote location for large-scale heterogeneous networking using TensorFlow. International Journal of Future Generation Communication and Networking, 13. Cited by: 40

3. Nanthini, K., Sivabalaselvamani, D., Chitra, K., Gokul, P., & KavinKumar, S. (2023). A survey on data augmentation techniques. In 2023 7th International Conference on Computing Methodologies and Communication (ICCMC).
Cited by: 38

4. Sivabalaselvamani, D., & Soorya, B. (2020). Convolution Neural Network based Specialized Restaurant Rating Using Facial Expression Detection. In 2020 International Conference on Inventive Computation Technologies (ICICT).
Cited by: 22

5. Sridharan, M., Arulanandam, D. C. R., Chinnasamy, R. K., & Sivabalaselvamani, D. (2021). Recognition of font and Tamil letter in images using deep learning. Cited by: 20

Sivabalaselvamani Dhandapani | Diagnostic Tools | Best Researcher Award

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