Specialization

Bio Medical Instrumentation

Email

jainysachdeva@thapar.edu

Biography

Dr.Jainy Sachdeva is currently Professor in the Electrical and Instrumentation Engineering Department, Thapar Institute of Engineering & Technology, Patiala. Dr. Sachdeva obtained his Ph.D. in 2013. Dr. Sachdeva has about five years teaching experience. Her current area of research interest includes Biomedical Instrumentation, Biomedical Image Processing-Image Registration of CT-MR images, Segmentation of tumors on medical/digital images, Disease Classification, Identification of Alzheimer and Dementia using Pattern recognition techniques, Blood vessel and retinal segmentation on fundus retinal images.

Education

Academic experience

Honors and awards

• MHRD Fellowship: 2008-2009
• National Doctoral Fellowship: 2009-2012

Service Activities (within and outside the institution)

• UG Coordinator EIC, NBA Criteria Incharge, ABET Criteria Incharge, Bioinformatics Biomedical Research Lab Incharge, President LEAD Soci

List of Publications

• Sachdeva, J., Sharma, D., Ahuja, C. and Singh, A. (2024), Efficient-Residual Net—A Hybrid Neural Network for Automated Brain Tumor Detection. Int J Imaging Syst Technol, 34: e23170.
• Sharma, D.K., Sachdeva, J., Ahuja, C.K. et al. A Novel Hybrid Multimodal Medical Image Fusion Scheme Based on Non-subsampled Shearlet Transform. Circuits Syst Signal Process 43, 3627–3648 (2024)
• Jainy Sachdeva, Riyaansh Mittal, Jiya Mehta, Riya Jain, Anmol Ranjan, Resolving autism spectrum disorder (ASD) through brain topologies using fMRI dataset with multi-layer perceptron (MLP), Psychiatry Research: Neuroimaging, Volume 343, 2024, 111858
• Jainy Sachdeva, Puneet Mishra, Deeksha Katoch, Diabetic retinopathy data augmentation and vessel segmentation through deep learning based three fully convolution neural networks, Image and Vision Computing, Volume 151, 2024, 105284,
• Jainy Sachdeva, Deepanshu Sharma, Chirag Kamal Ahuja, Multiscale segmentation net for segregating heterogeneous brain tumors: Gliomas on multimodal MR images, Image and Vision Computing, Volume 149, 2024, 105191
• J. Sachdeva, D. Sharma, C. K. Ahuja, "Comparative Analysis of Different Deep Convolutional Neural Network Architectures for Classification of Brain Tumor on Magnetic Resonance Images," J. Arch. Comput. Methods Eng., pp. 1-20, 2024.
• R. K. Sidhu, J. Sachdeva, and D. Katoch, "Segmentation of retinal blood vessels by a novel hybrid technique- Principal Component Analysis (PCA) and Contrast Limited Adaptive Histogram Equalization (CLAHE)," vol. 148, pp. 1-19, 2023.
• S. S. Hussain, J. Sachdeva, C. K. Ahuja, and A. Singh, "Enc-Unet: A novel method for Glioma segmentation," Int. J. Imaging Syst., vol. 33, pp. 465-482, 2023.
• D. Sharma, J. Sachdeva, C. Ahuja, and N. Khandelwal, "Multimodal Medical Image Fusion Using Nonsubsampled Shearlet Transform and Smallest Uni-Value Segment Assimilating Nucleus," Int J. of Pattern Recognition and artificial Intelligence, vol. 36, No. 04,2257001, 2022.

Sponsored Project

• “3D MRI Data Processing Using Deep Learning,” Supervised by (PI/CoPI), received Grant amount of RS 44 lacks by ICMR for the duration of 3 years.
•  “IOT based hand sanitizer dispenser” Supervised by (PI/CoPI), received Grant amount of RS 01 lac by TIET for the duration of 3 years