Dr. Sangeetha D

Bio

Dr. D. Sangeetha is a dedicated academician and researcher specializing in Computer Vision and Machine Learning, with a strong background in Electronics and Communication Engineering. She focuses on bridging theoretical concepts with real-world applications. She is committed to nurturing technical skills of the students. Her extensive research contributions include several published papers in reputed conferences and journals. Currently one research scholar is doing Ph.D. studies under her guidance.

Educational Qualifications :
Ph.D. in Information and Communication Engineering – Anna University, Chennai
M.E. Communication Systems – Anna University, Chennai
B.E. Electronics and Communication Engineering – Anna University, Chennai

Areas of Expertise :
Computer Vision, Machine Learning, VLSI Architecture Implementation of Image Processing and Machine Learning Algorithms

Teaching Experience :
9 Years and 11 Months

Industry / Research Experience :
1 Year and 2 Months

Publications and Research Work :
Arunraja A, Kishorekumar R, Sangeetha D, Dharmaprakash R, Bharaty K S, Balamanikandan A, “A Novel Investigation on p-GaN GATE with and without AlGaN Back Barrier for AlGaN/GaN High Electron Mobility Transistors”, Journal of VLSI Circuits and Systems, Vol. 7, No. 1, pp. 167–175, 2025.

D. Sangeetha, P. Deepa, S. Padmapriya & S.R. Mugunthan Adaptive Edge aware and K-means cluster-based Manhattan regularization for deblurring (EAKCMRD)”, The Imaging Science Journal, pp. 1–19, 2025, https://doi.org/10.1080/13682199.2025.2585760.

Sangeetha D, Mugunthan S R, Deepa P, “Machine Learning-Fused Hybrid Image Encryption Framework Using Hardware-Optimized AES Algorithm”, Journal of Signal Processing Systems, Vol. 98, article no. 21, pp. 1-24, 2026.

D.Sangeetha, “An approach to model human appearance based on sparse representation for human tracking in surveillance”, IET Image Processing, Vol.14, No.11, pp. 2383 – 2394, 2020 (SCI, IF: 2.004).

D.Sangeetha and P.Deepa, “FPGA Implementation of Cost-effective Robust Canny Edge Detection Algorithm”, Springer: Journal of Real-Time Image Processing, Vol.16, pp. 957-970, 2019 (SCI, IF: 1.564).

D.Sangeetha and P.Deepa, “A Low-cost and High-performance Architecture for Robust Human Detection using Histogram of Edge Oriented Gradients”, Elsevier: Microprocessors and Microsystems, Vol. 53, pp. 106–119, 2017 (SCI, IF: 1.025).

Professional Affiliations : ISTE, IAENG

Subjects Taught : Data Communication, Internet of Things

Research Profiles and Links :
Scopus ID : https://www.scopus.com/authid/detail.uri?authorId=55263022000
Google Scholar : https://scholar.google.com/citations?user=mITyY2cAAAAJ&hl=en
ORCID : 0000-0002-4357-7235