Department of Computer Science & Engineering (Emerging Technologies)
Degree
Specialization
University/Institute Name, Year
Ph.D.
Medical Image Processing
VIT, Vellore,
2025
M.E.
APPLIED ELECTRONICS
Anna University, Chennai,
2013
B.TECH.
Electronics and Communication Engineering
M. G. University, Kerala,
2009
Digital Image Processing
Medical Image Processing
Artificial Intelligence
Machine Learning
Deep Learning
Computer Vision
Deep Learning
Machine Learning
Artificial Intelligence
Image Processing
Digital System Design
Signal Processing
Biomedical Engineering
Information Theory
Assistant Professor (O.G.), Department of Computer Science and Engineering (Emerging Technologies), SRM Institute of Science and Technology, Vadapalani Campus, Chennai, Tamil Nadu, JULY 2025 – Till date
Assistant Professor, Vellore Institute of Technology, Vellore– August 2024 to June 2025
Teaching cum Research Assistant, Vellore Institute of Technology, Vellore– August 2022 to July 2024
Assistant Professor, Vidya Academy of Science & Technology, Kilimanoor, Kerala–November 2021 to
July 2022
Assistant Professor, College of Engineering, Adoor, Kerala-August 2018 to March 2020
Assistant Professor, Sri Vellapally Natesan College of Engineering, Alappuzha, Kerala-June 2013 to May 2017
Lecturer, Sri Vellapally Natesan College of Engineering, Alappuzha, Kerala-June 2010 to July 2011
Lecturer, NSS Institute for Computer and Engineering Studies, Pathanamthitta, Kerala- June 2009 to May 2010
Dr. APJ ABDUL KALAM AWARD (December 2023)-Awarded by the Office of Academic Research, Vellore Institute of Technology (VIT), Vellore, in recognition of the Review paper publication in SCI journal.
Raman Research Award (August 2024, March 2025, April 2025)-Awarded by the Office of Academic Research, Vellore Institute of Technology (VIT), Vellore, in recognition of the publication in SCI journal.
Earned the NPTEL Elite Gold grade in the “Neural Networks for Computer Vision and Natural language processing” certification course conducted by NPTEL (IIT Guwahati), 2026.
Earned the NPTEL Elite Gold grade in the “Mathematical Foundations of Machine Learning ” certification course conducted by NPTEL (IISC Bangalore), 2026.
Earned the NPTEL Elite grade in the “Python for Data Science” certification course conducted by NPTEL (IIT Madras), 2025.
Earned the NPTEL Elite Silver grade in the “Deep Learning ” certification course conducted by NPTEL (IIT Ropar) 2025.
R. Preetha, M. Jasmine Pemeena Priyadarsini and J. S. Nisha, "Hybrid 3B Net and EfficientNetB2 Model for Multi-Class Brain Tumor Classification," in IEEE Access, doi: 10.1109/ACCESS.2025.3558411.
R, P., M, J.P.P. & J S, N. Brain tumor segmentation using multi-scale attention U-Net with EfficientNetB4 encoder for enhanced MRI analysis. Sci Rep 15, 9914 (2025). https://doi.org/10.1038/s41598-025-94267-9.
R. Preetha, M. J. P. Priyadarsini, and J. S. Nisha, “Automated brain tumor detection from magnetic resonance images using fine-tuned efficientnet-b4 convolutional neural network,” IEEE Access, vol. 12, pp. 112 181–112 195, 2024. doi: 10.1109/ACCESS.2024.3442979.
R.Preetha, M.J. P. Priyadarsini, and J. S. Nisha, “Comparative study on architecture of deep neural networks for segmentation of brain tumor using magnetic resonance images,” IEEE Access, vol. 11, pp. 138549–138567, 2023. doi: 10.1109/ACCESS.2023.3340443.
M. Priyadarsini, R. Preetha, T. D. R. Sai, et al., “Advanced subsystems based ecg signal classification and processing using deep neural networks and wavelets: An evolutio
Preetha, R., et al. "Brain Tumor Segmentation Using U‐Net, U‐Net with Attention, and ResNeXt50." Integrated Systems: Embedded, Signal Processing, and Communication (2025): Wiley Online Library 165-192. https://doi.org/10.1002/9781394311767.ch12
“Brain Tumor Segmentation and Classification Using 3D MRI Images”,in ICICDA 2026 held at SRM Institute of Science and Technology, Chennai.
“Building Tracking Resilience in ADAS: A Memory-Based Approach using LC-YOLO and Temporal Buffers”, in ICICDA 2026 held at SRM Institute of Science and Technology, Chennai
“ Generative Engine Optimization for Brand-Specific Visibility using Machine Learning”, in ICICDA 2026 held at SRM Institute of Science and Technology, Chennai.
"Brain Tumor Segmentation Using U-Net, U-Net with Attention, and ResNeXt50", in iCASIC 2024 held at ‘Vellore Institute of Technology, Vellore, Tamilnadu, India.
“Advanced subsystems based ecg signal classification and processing using deep neural networks and wavelets: An evolution of digital health records", in iCASIC 2022 held at ‘Vellore Institute of Technology, Vellore, Tamilnadu, India.
“Effect of Texture, Shape, Intensity & AMS Algorithm for P-F Tumuor Segmentation in MRI’’, in NCICIC’13 held at ‘EASA College of Engineering & Technology’, Coimbatore, Tamilnadu, India.
SRMIST Vadapalani
Welcome to the academic hub of SRMIST Vadapalani, where excellence meets opportunity and where students, faculty and staff collaborate to create an environment of intellectual curiosity, personal growth and academic excellence.
