Dr. Snigdha Agrawal

Biography

Dr. Snigdha Agrawalhas completed her Ph.D. and M.Tech at School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi. She has been a UGC NET, JRF and GATE awardee. She did her B.Tech from BVCOE New Delhi, GGSIPU. Her research interests are Medical Image Analysis, Image Processing, Machine Learning. During her PhD she had worked in collaboration with the Department of Neurology and Department of NMR and MRI, AIIMS New Delhi for data collection for her research.

Educational Qualifications

• PhD (CSE) (2017-2024), SC&SS, Jawaharlal Nehru University, New Delhi-110067
• M.Tech (CSE), (2015-2017), Jawaharlal Nehru University, New Delhi-110067
• B.Tech (IT), (2011-2015) Bharti Vidyapeeth’s College of Engineering, GGSIPU.

Work Experience

• Assistant Professor (Senior grade) in the Department of Computer Science & Information Technology at Jaypee Institute of Information Technology (JIIT), Sector 128, Noida, U.P. from 01-Jul-2024 to till date.
• Visiting Faculty at Department of Information Technology at Delhi Technological University, Rohini, Delhi – 110042 from 01-Jan-2024 to 30-June-2024
• Senior Research Fellow at SC&SS, Jawaharlal Nehru University, New Delhi-110067 from Jan 2021 to Dec 2023
• Junior Research Fellow at SC&SS, Jawaharlal Nehru University, New Delhi-110067 from Jan 2019 to Dec 2021
• Non-NET Research Fellow at SC&SS, Jawaharlal Nehru University, New Delhi-110067 from Jul 2015 to Dec 2019

Interest Area 

• Medical Image Analysis, Image Processing, Machine Learning

Fellowships And Scholarships

• UGC-NET SRF (Computer Science) – 2021
• UGC-NET JRF (Computer Science) – 2019
• UGC-NET (Computer Science) – 2018
• GATE (Computer Science) – 2015

Publications

• S. Agrawal, R. Agrawal, S. Kumaran, B. Rana, A. Srivastava. Integration of Graph Network with Kernel SVM and Logistic Regression for Identification of Biomarkers in SCA12 and its Diagnosis. Cerebral Cortex 2024, doi: 10.1093/cercor/bhae132.
• S. Agrawal, R. Agrawal, S. Kumaran, A. Srivastava, M. Narang. Fusion of 3D Feature Extraction Techniques to Enhance Classification of Spinocerebellar Ataxia Type 12. International Journal of Information Technology 2023 Oct, 16:91-103. doi: 10.1007/s41870-023-01579-y.
• S. Agrawal, S. Kumaran, A. Srivastava, R. Agrawal, M. Narang. Study of 2D Feature Extraction Techniques for Classification of Spinocerebellar ataxia type 12 (SCA12). Stud Health Technol Inform. 2022 Jun 6; 290:670-674. doi: 10.3233/SHTI220162. PMID: 35673101.
• S. Agrawal, M. Narang, P. Pankaj, A. Srivastava, S. Kumaran, R. Agrawal. ROI based Machine Learning Classification Model for Spinocerebellar Ataxia type 12. Mov Disord. 2020; 35.