Dr. Snigdha Agrawal

Snigdha Agrawal completed her Ph.D. in Computer Science and Technology from Jawaharlal Nehru University, Delhi, India, in 2024. Her Ph.D. thesis was titled “Computer-Aided Diagnosis of Spinocerebellar Ataxia Using Machine Learning.” She earned her M.Tech. in Computer Science and Technology from Jawaharlal Nehru University, Delhi, in 2017, and her B.Tech. from BVCOE, New Delhi (GGSIPU), in 2015. She has been a recipient of the GATE, UGC NET, UGC JRF, and UGC SRF awards.

Her research interests include Machine Learning, Image Processing, Neuroimaging, Computer Vision, Pattern Recognition, and Evolutionary Computing.

Address: Room No. 609-A, Academic Block - 4, Delhi Technological University, Shahbad, Daulatpur, Main Bawana Road, Delhi-110042, India.

 

• Assistant Professor, Department of Computer Science and Engineering, DTU (March 2025 - till date).
• Assistant Professor, Department of CSE & IT, Jaypee Institute of Information Technology (JIIT), Noida (July 2024 - March 2025).
• Visiting faculty, Department of Information Technology, DTU (January 2024 - June 2024).
• PhD Research Scholar, School of Computer and Systems Sciences, Jawaharlal Nehru University (July 2017 - December 2023).
• Research Scholar, Department of Neurology and the Department of NMR and MRI at the All-India Institute of Medical Sciences (AIIMS), New Delhi (September 2018 - March 2020).
• MTech Research Scholar, School of Computer and Systems Sciences, Jawaharlal Nehru University (August 2015 - July 2017).

• Programming with C, C++, Java, Python
• Object Oriented Programming
• Fundamentals of Computer Vision
• Data Structures
• Discrete Structures
• Compiler Design
• Machine Learning
• Analysis and Design of Algorithms

Journal Publications

J6) S. Agrawal, R. K. Agrawal, S. S. Kumaran, B. Rana, and A. K. Srivastava, “Integration of graph network with kernel SVM and logistic regression for identification of biomarkers in SCA12 and its diagnosis”, vol. 34, no. 4, 2024, Cerebral Cortex, Oxford Academic, doi: 10.1093/cercor/bhae132.

J5) S. Agrawal, R. K. Agrawal, S. S. Kumaran, A. K. Srivastava, and M. K. Narang, “Fusion of 3D feature extraction techniques to enhance classification of spinocerebellar ataxia type 12”, vol. 16, no. 1, pp. 91–103, Jan. 2024, International Journal of Information Technology, Springer Nature, doi: 10.1007/s41870-023-01579-y.

J4) S. Agrawal, S. S. Kumaran, A. K. Srivastava, R. K. Agrawal, and M. K. Narang, “Study of 2D Feature Extraction Techniques for Classification of Spinocerebellar Ataxia Type 12 (SCA12)”, vol. 290, pp. 670–674, 2022, Studies in Health Technology and Informatics, IOS Press, doi: 10.3233/SHTI220162.

J3) S. Agrawal, M. Narang, Pankaj, A. Srivastava, S. Kumaran, and R. Agrawal, “ROI based Machine Learning Classification Model for Spinocerebellar Ataxia type 12”, 2020, vol 1, pp. S8–S8, Movement Disorders, Wiley, doi: 10.1002/mds.28268.

J2) S. Agrawal, P. Gupta, V. Jain, and A. Jain, “Detection and Implementation of Web-based Attacks using Attribute Length Method,” vol. 120, no. 3, pp. 25–29, Jun. 2015, International Journal of Computer Applications, Foundation of Computer Science Inc., doi: 10.5120/21209-3901.

J1) P. Gupta, S. Agrawal, and N. Thakur, “Apparel Recommender System Based on Feature Selection and Self Organized Map”, vol 2, no. 3, pp. 96-100, Mar. 2015, International Journal of Engineering Research & Management, Eclat Research Publication Jaipur.

Conference Publications

C3) D. Lohani, B. Rana, S. S. Kumaran, A. K. Srivastava, S. Agrawal, Pankaj “Integrating Tensor-Based Morphometry with Machine Learning for Diagnosis of SCA12”, in 2025 International Society for Magnetic Resonance in Medicine (ISMRM) Indian Chapter, Feb. 2025, 82.

C2) D. Lohani, B. Rana, S. S. Kumaran, A. K. Srivastava, S. Agrawal, Pankaj “Spinocerebellar Ataxia Type 12 classification through Structural MRI: Insights from Regional Brain Volume and Cortical Thickness Analysis”, in 2024 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI), Oct. 2024, pp. 1–6. doi: 10.1109/CVMI61877.2024.10781980.

C1) Pankaj, S. Kumaran, S. Agrawal, A. Srivastava, and R. Agrawal, “Structural and resting state network alterations in Spinocerebellar Ataxia Type 2 in comparison with healthy controls” in 2020 International Society for Magnetic Resonance in Medicine (ISMRM), 2020, 1547.

• Qualified UGC NET JRF in Computer Science & Applications in 2018.
• Qualified UGC NET in Computer Science & Applications in 2017.
• Qualified GATE in Computer Science & Engineering in 2015.

Expert Talks

• Delivered Expert Talk on "Machine Learning" at Jaypee Public School, Sec-128 Noida in January 2025.

Conferences/FDPs/Workshops/Seminars Organized

• Co-Coordinator of Two Week Training Programme/FDP Programme on High Performance Computing and its Applications in Materials Science (HPC-AMS) at Delhi Technological University from 6th October 2025 to 17th October 2025.

FDPs/Trainings Attended

• Participated in Faculty Induction Program for the Newly recruited Assistant Professors of DTU by HRDC, Delhi Technological University (DTU) from 3rd December 2025 to 5th December 2025.
• Participated in Professional Development Programme on “Course File Preparation and Question Paper Setting based on OBE" conducted by NITTTR, Chennai from 13th October 2025 to 17th October 2025 at Delhi Technological University (DTU), New Delhi.
• Completed the following Online Eight Teacher Training Modules of National Initiative of Technical Teachers Training (NITTTR) in September 2025:
  • Module 1: Orientation Towards Technical Education and Curriculum Aspects
  • Module 2: Professional Ethics and Sustainability
  • Module 3: Communication Skills, Modes and Knowledge Dissemination
  • Module 4: Instructional Planning and Delivery
  • Module 5: Technology Enabled Learning and Life-long Self Learning
  • Module 6: Student Assessment and Evaluation
  • Module 7: Creative Problem Solving, innovation and Meaningful R&D
  • Module 8: Instructional Management and Administrative Procedures.
• Participation in One week FDP/STC on "Ethereum Blockchain: From Fundamentals to Advanced Development" jointly organized by Kerala Blockchain Academy (KBA) and Delhi Technological University (DTU) from 19th May to 23rd May 2025 at Delhi Technological University.

Academic Responsibilities

• Co-Coordinator, Human Resource Development Centre (HRDC), DTU.
• Faculty Coordinator, Internal Quality Assurance Cell (IQAC), CSE Dept. DTU.
• Member of NAAC and Academic Audit Team, CSE Dept. DTU (2025).
• Member of Mid Semester Exam Organizing Committee, CSE Dept. DTU (2025-26).
• Member of Interview committee for University Student Internship Program (USIP), DTU (2025).
• Member of Registration cum Orientation Committee of B.Tech. admitted students Induction Programme (2025-26).
• Faculty Member of DTU-SAU Committee.