Specialization

Bio Medical Instrumentation

Email

jainysachdeva@thapar.edu

Biography

Dr.Jainy Sachdeva is currently Assistant 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

• Sharma, J. Sachdeva, C. Ahuja, and N. Khandelwal, "Multimodal medical image fusion using non-subsampled shearlet transform and pulse coupled neural network incorporated with morphological gradient," Signal Image Video Process., vol. 12, pp. 1479-1487, 2018.
• Sharma, J. Sachdeva, C. Ahuja, and N. Khandelwal, "An improved multimodal medical image fusion scheme based on hybrid combination of nonsubsampled contourlet transform and stationary wavelet transform," Int. J. Imaging Syst. Technol., vol. 29, pp. 146-160, 2019.
• 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. 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.
• Sharma, J. Sachdeva, C. Ahuja, and N. Khandelwal, "Multimodal Medical Image Fusion Using Nonsubsampled Shearlet Transform and Smallest Uni-Value Segment Assimilating Nucleus," 2022/03/25, 2022/03/30.
• 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.
• Jainy Sachdeva, Vinod Kumar, Indra Gupta, Niranjan Khandelwal, Chirag Kamal Ahuja, “A novel content based active contour model for brain tumor segmentation”, Magnetic Resonance Imaging, vol. 30, no. 5, pp. 694-715, 2012.
• Jainy Sachdeva, Vinod Kumar, Indra Gupta, Niranjan Khandelwal, Chirag Kamal Ahuja, “Brain tumor classification using dual level network ensemble”, International Journal of Numerical Methods in Biomedical Engineering, vol 28,pp.1107-1120, 2012, DOI: 10.1002/cnm.2481.
• Jainy Sachdeva, Vinod Kumar, Indra Gupta, Niranjan Khandelwal, Chirag Kamal Ahuja, “Hybrid model for 2D brain image registration”, International Journal of Tomography and Statistics, vol. 20, no.2, pp. 67-90, 2012.
• Jainy Sachdeva, Vinod Kumar, Indra Gupta, Niranjan Khandelwal, Chirag Kamal Ahuja, “Segmentation, Feature Extraction, and Multiclass Brain Tumor Classification”, International Journal of Digital Imaging, 26(6): 1141–1150, 2013.
• Jainy Sachdeva, Vinod Kumar, Indra Gupta, Niranjan Khandelwal, Chirag Kamal Ahuja, “A Package SFERCB- Segmentation ,Feature Extraction, reduction and Classification Analysis by both SVM and ANN for Brain Tumors”, Journal of Applied Soft Computing vol. 47, pp.151–167, 2016.
• Puneet Tiwari, Jainy Sachdeva “ Real Time Computer Aided Diagnosis System -Decision Support System for Clinical Diagnosis of Brain Tumors ” International Journal of Computational Intelligence Systems, vol.10 -1, pp.104 - 119, 2016, Taylor and Francis.

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