Specialization

Signal and Image Processing

Email

deepti.mittal@thapar.edu

Biography

Deepti Mittal obtained her B.Tech. degree in Electronics Engg. from Harcourt Butler Technological Institute Kanpur in 1999, M.Tech. (Hons.) Degree in Electronics & Communication Engg. from Govind Ballabh Pant University of Agriculture &Technology, Pantnagar in 2004 and Ph.D. Degree from Indian Institute of Technology Roorkee in 2011. She started her teaching profession since September 1999. She is presently working as associate professor in Electrical and Instrumentation Engineering Department, TIET, Patiala, India. She taught different UG/PG courses related to electronics and instrumentation engineering/electronics and communication engineering during her more than 20 years teaching experience. She has guided 13 Master’s theses and 3 PhD thesis. She has 19 research publications in SCI/SCIE journals, 15 in other international journals, and 10 in international/national conference proceedings. She is serving the institute as biomedical lab-in-charge, biomedical capstone project; and coordinator student counsellor EIC. She has also worked as Coordinator of Industry and Alternate project, UG coordinator, Souvenir In-charge etc. She is a life member of Indian Society for Technical Education, The Institution of Electronics and Telecommunication Engineers and Meteorology Society of India. Her professional research interests are medical image processing, digital signal and image processing, pattern recognition, soft computing and medical instrumentation. She has worked on ultrasound, CT, MRI and Retinal fundus images.

Education

1. Ph.D. in Medical Image Processing, from IIT Roorkee in 2011
2. M. Tech in Electronics & Communication Engineering from G. B. Pant University in 2004
3. B.E. in Electronics Engineering from H. B. T. I., Kanpur in 1999

Experience: Total Teaching Experience 20 years

Teaching Interests:

1. Digital Signal Processing
2. Bio-medical Instrumentation
3. Digital Image Processing

Certifications or professional registrations

• Life Member, Indian Society for Technical Education (LM31496)
• Life Member, Institution of Electronics and Telecommunication Engineers (M-188595).
• Life Member, Meteorology society of India

Service activities (within and outside of the institution)

• UG Coordinator of EIC (DEIE), Thapar Institute of Engineering & Technology, 2018-2021.
• IAP Coordinator of EIC (DEIE),  Thapar Institute of Engineering & Technology, 2014-17.
• Capstone project Incharge BME,Jan 2023- till date
• Biomedical Lab Incharge EIC (DEIE), 2014-till date
• Coordinator Student counseling EIC, Jan 2023-till date

Research Interest:

1. Medical Image Analysis
2. Digital signal and Image processing
3. Pattern Recognition
4. Mobile App Development
5. IoT

Publications in SCI/SCIE Journals

[1] Krishan, A. and Mittal, D., 2023, " Multi-Class Liver Cancer Diseases Classification Using CT Images, " The Computer Journal, vol. 66, no. 3, pp. 525-539. (Publisher: Oxford University Press; Impact Factor: 1.494)

[2] Krishan, A. and Mittal, D., 2022" Feature based CT image registration of liver cancer, " Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, vol. 236, no. 1, pp. 3-11. (Publisher: Sage; Impact Factor: 1.763)

[3] Kaur, J., Mittal, D., and Singla, R., 2022, “Diabetic Retinopathy Diagnosis Through Computer-Aided Fundus Image Analysis: A Review,” Archives of Computational Methods in Engineering, vol. 29, pp. 1673–1711. (Publisher: Springer Science + Business Media; Impact Factor: 8.967)

[4] Krishan, A. and Mittal, D., 2021, "Ensembled liver cancer detection and classification using CT images, "Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, vol. 235, no. 2, pp. 232-244. (Publisher: Sage; Impact Factor: 1.763)

[5] Jain, G., Mittal, D., Thakur, D., Mittal, M.K., 2020, “A deep learning approach to detect Covid-19 coronavirus with X-Ray images,” Biocybernetics and Biomedical Engineering, vol. 40, no. 4, pp. 1391-1405. (Publisher: Elsevier; Impact Factor: 5.687)

[6] Bharti, P., Mittal. D., Ananthasivan. R., 2020, “An ultrasound image enhancement method using Neutrosophic similarity score,” Ultrasonic Imaging, vo. 42, no. 6, pp. 271-283, 2020. (Publisher: Sage; Impact Factor: 2.000)

[7] Kaur, J., Mittal, D., 2020, “Construction of benchmark retinal image database for diabetic retinopathy analysis,” Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, vol. 234, no. 9, pp. 1036-1048. (Publisher: Sage; Impact Factor: 1.763)

[8] Krishan, A., Mittal, D., 2020, “Effective segmentation and classification of tumor on liver MRI and CT images using multi-kernel K-means clustering,” Biomedical Engineering / Biomedizinische Technik, vol. 65, no. 3, pp. 301-313. (Publisher: De Gruyter; Impact Factor: 1.426)

[9] Bedi, A.K., Sunkaria, R.K., Mittal, D., 2019 (published online) “Ultrasound Image Despeckling and Enhancement using Modified Multiscale Anisotropic Diffusion Model in Non-Subsampled Shearlet Domain, The Computer Journal, bxz131, https://doi.org/10.1093/comjnl/bxz131. (Publisher: Oxford Academic; Impact Factor: 1.494)

[10] Bharti, P., Mittal, D., Ananthasivan, R., 2018, “Characterization of chronic liver disease based on ultrasound images using the variants of grey-level difference matrix,” Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, vol. 232, no. 9. pp. 884-900. (Publisher: Sage; Impact Factor: 1.763)

[11] Kaur, J., Mittal, D., 2018, “Estimation of severity level of non-proliferative diabetic retinopathy for clinical aid,” Biocybernetics and Biomedical Engineering, vol. 38, no. 3, pp. 708-732. (Publisher: Elsevier; Impact Factor: 5.687)

[12] Bharti, P., Mittal. D., Ananthasivan. R., 2018, “Preliminary Study of Chronic Liver Classification on Ultrasound Images Using an Ensemble Model,” Ultrasonic Imaging, vol. 40, no. 6, pp. 357-379. (Publisher: Sage; Impact Factor: 2.000)

[13] Kaur, J., Mittal, D., 2018, “A generalized method for the segmentation of exudates from pathological retinal fundus images,” Biocybernetics and Biomedical Engineering, vol. 38, no. 1, pp. 27-53. (Publisher: Elsevier; Impact Factor: 5.687)

[14] Kaur, J., Mittal, D., 2017, “A generalized method for the detection of vascular structure in pathological retinal images,” Biocybernetics and Biomedical Engineering, vol. 37, no. 1, pp. 184-200. (Publisher: Elsevier; Impact Factor: 5.687)

[15] Bharti, P., Mittal, D., Ananthasivan, R., 2017, “Computer-Aided Characterization and Diagnosis of Diffuse Liver Diseases Based on Ultrasound Imaging: A Review.” Ultrasonic Imaging, vol. 39, no. 1, pp. 33-67. (Publisher: Sage; Impact Factor: 2.000)

[16] Mittal, D., 2017, “Impact of Modified Anisotropic Diffusion–Based Enhancement Method in Computer-Aided Classification of Focal Liver Lesions”, Ultrasonic Imaging, vol. 39, no. 2, pp. 96-107. (Publisher: Sage; Impact Factor: 2.000)

[17] Mittal, D., and Kumari, K., 2015, “Automated detection and segmentation of drusen in retinal fundus images”, Computers and Electrical Engineering, vol. 47, pp. 82–95. (Publisher: Elsevier; Impact Factor: 4.152)

[18] Mittal, D., Kumar, V., Saxena, S.C., Khandelwal, N., Kalara, N., 2011, “Neural Network Based Focal Liver Lesion Diagnosis using Ultrasound Images,” Computerized Medical Imaging and Graphics, vol. 35, no. 4, pp. 315-323. (Publisher: Elsevier; Impact Factor: 7.422)

[19] Mittal, D., Kumar, V., Saxena, S.C., Khandelwal, N., Kalara, N., 2010, “Enhancement of the Ultrasound Images by Modified Diffusion Method,” Medical & Biological Engineering & Computing, vol. 48, no. 12, pp. 1281-1291. (Publisher: Springer; Impact Factor: 2.602)

Publications in Scopus/Non-SCI Journals

Conference Papers

ME Thesis Guided

13 (Thirteen)

PhD hesis Guided

03 (Three)