Dr. Preethi S.J
Associate Professor
- Teaching
About
Preethi S.J holds a B.E. degree in Electronics and Communication from Adichunchanigi Institute of Technology, Visvesvaraya Technological University, Belagavi. She earned her M.Tech. degree in computer science from Bapuji Institute of Technology, Visvesvaraya Technological University, Belagavi. She has received her Ph.D in Electronics and Communication Engineering from PES University, Bengaluru. Her areas of specialization include biometrics, image and video processing, machine learning, and deep learning.
Digital Logic Design
Computer Concepts and C-Programming
Operating System
Computer Graphics
Microprocessor and Interfacing techniques
Microprocessor and Microcontroller
Digital signal Processing
Signals and Systems
Basic Electronics
Digital Image Processing
Control systems
Python for Computational Problem Solving
Computer Networks
Machine learning
Class Incharge
Lab Incharge
Summer-Term co-ordinator
Departmental works- IQAC
Project guide
FAM
Guest Lecture Co-ordinator
Elective Co-ordinator
Biometrics
Signal Processing
Image and Video processing
Machine learning
Deep learning
-
Preethi, S. J., and B. Niranjana Krupa. "ShaveNet: Facial hair removal preprocessing framework for Face and Visual-Speech biometrics." In 2024 11th International Conference on Signal Processing and Integrated Networks (SPIN), pp. 117-122. IEEE, 2024.
-
Shreekumar, Jayanth, Ganesh K. Shet, P. N. Vijay, S. J. Preethi, and Niranjana Krupa. "Improved viseme recognition using generative adversarial networks." In 2020 IEEE REGION 10 CONFERENCE (TENCON), pp. 1118-1123. IEEE, 2020.
-
Sindhura, P. V., S. J. Preethi, and Krupa B. Niranjana. "Convolutional neural networks for predicting words: A lip-reading system." In 2018 international conference on electrical, electronics, communication, computer, and optimization techniques (ICEECCOT), pp. 929-933. IEEE, 2018. (Received Best paper award for the session)
-
“Image Enhancement techniques for improving the quality of Color and Gray scale medical images”- Published in National conference on “Information & Communication Technology” [NCICT-10] held at NYSSCOE, Nagpur on 23-24 Dec 2010
-
“Paired Carrier Multiple Access (PCMA) for satellite communication” – Published in National conference on “Futuristic computer Applications” held at AISSMS-IOIT, Pune on 24th December 2009.
-
S. Reddy, R. Prakash, P. J. Seegehalli and B. N. Krupa, "Real-Time Harmful Content Recognition in Videos," 2025 11th International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India, 2025, pp. 165-170, doi: 10.1109/ICCSP64183.2025.11088762.
-
Seegehalli, Preethi Jayappa, and B. Niranjana Krupa. "Lightweight 3D-StudentNet for defending against face replay attacks." Signal, Image and Video Processing (2024): 1-17.
-
Seegehalli, Preethi Jayappa, and B. Niranjana Krupa. "Deep hybrid architectures and DenseNet35 in speaker-dependent visual speech recognition." Signal, Image and Video Processing 18, no. 5 (2024): 4875-4889.
-
Preethi, S. J. "Analyzing lower half facial gestures for lip reading applications: Survey on vision techniques." Computer Vision and Image Understanding 233 (2023): 103738.
Additional Information
She has 11+ years of teaching experience and has served at leading institutions, including PES University in Bengaluru, Pimpri Chinchwad College of Engineering (PCCOE) in Pune, and Adichunchanagiri Institute of Technology (AIT) in Chikkamagaluru. Throughout her career, she has taught various courses in Electronics and Communication Engineering, Computer Science, and Artificial Intelligence and Machine Learning (AIML). She has supervised several undergraduate projects focused on image processing, machine learning, and deep learning. Furthermore, she has contributed to NAAC and NBA accreditation processes, as well as to academic coordination and departmental activities. Dr. Preethi S.J. is a member of professional bodies, including the Indian Society for Technical Education (ISTE) and the Institute of Electrical and Electronics Engineers (IEEE). She has actively participated in numerous faculty development programs, published research in Scopus / WoS-indexed international journals, and presented papers at various national and international conferences. Her research contributions have resulted in 88+ citations, and her Google Scholar profile can be accessed at: https://scholar.google.com/citations?user=_gqTxvQAAAAJ&hl=en. She also serves as a reviewer for reputed journals, contributing to the academic research community. Her areas of specialization include Biometrics, Signal Processing, Image and Video Processing, Machine Learning, and Deep Learning.