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About

I am a Ph.D. student in the Computer Science and Engineering department at Indian Institute of technology, Roorkee. I have joined the Ph.D. in Dec, 2019 under supervision of Prof. Balasubramanian Raman. Before joining Ph.D., I have completed my bachelor’s and master’s degree from Dayalbagh Educational Institute, Agra.

Education

Ph.D.* (Computer Science)
Indian Institute of Technology, Roorkee
Joining Date: Dec, 2019
Course Work Details: (CGPA: 9.26)
- Evolutionary Algorithms
- Medical Imaging
- Research Methodology
- Soft Computing
Research Area: Medical Image Analysis
Supervisor: Prof. Balasubramanian Raman

Int. M.Tech. (Computer Science), 2019
Dayalbagh Educational Institute, Agra
Supervisor: Dr. R.S. Pavithr
CGPA: 8.51

Int. M.Sc. (Computer Science), 2018
Dayalbagh Educational Institute, Agra
Supervisor: Dr. R.S. Pavithr
CGPA: 8.30

B.Sc. (Computer Science), 2017
Dayalbagh Educational Institute, Agra
CGPA: 8.45

Achievements

Research_Interests

Experience

Publications

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Anshul Pundhir, Deepak Verma, Puneet Kumar, Balasubramanian Raman, "Region Extraction Based Approach for Cigarette Usage Classification Using Deep Learning", In: Raman, B., Murala, S., Chowdhury, A., Dhall, A., Goyal, P. (eds) Computer Vision and Image Processing. CVIP 2021. Communications in Computer and Information Science, vol 1568. Springer. https://doi.org/10.1007/978-3-031-11349-9_33.

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Anshul Pundhir, Saurabh Dadhich, Ananya Agarwal, Balasubramanian Raman, "Towards Improved Skin Lesion Classification using Metadata Supervision", 26th International Conference on Pattern Recognition (ICPR), Montreal, QC, Canada, 2022, pp. 4313-4320, doi: 10.1109/ICPR56361.2022.9956071

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Anshul Pundhir, Ananya Agrawal, Saurabh Dadhich, Balasubramanian Raman, "Visually Aware Metadata-Guided Supervision for Improved Skin Lesion Classification Using Deep Learning", In: , et al. Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging. EPIMI ML-CDS TDA4BiomedicalImaging 2022. Lecture Notes in Computer Science, vol 13755. Springer. https://doi.org/10.1007/978-3-031-23223-7_6.

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Kishore Babu Nampalle, Anshul Pundhir, Pushpamanjari Ramesh Jupudi, Balasubramanian Raman, "Towards improved U-Net for efficient skin lesion segmentation". Multimed Tools and Applications (MTAP), 2024, https://doi.org/10.1007/s11042-024-18334-5

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Anshul Pundhir, Shivam Sagar, Pradeep Singh, and Balasubramanian Raman, "Echoes of Images: Multi-loss Network for Image Retrieval in Vision Transformers", Medical & Biological Engineering & Computing (MBEC), 2024, https://doi.org/10.1007/s11517-024-03055-6

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Srishti Yadav*, Anshul Pundhir*, Balasubramanian Raman, Sanjeev Kumar, "Unveiling Robustness of Spiking Neural Networks Against Data Poisoning Attacks", Accepted for publication in International Joint Conference on Neural Networks (IJCNN), 30 June - 5 July 2024, Yokohama, Japan. (*denotes equal contribution).

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Anshul Pundhir, Sanchit Verma, Balasubramanian Raman, "Towards Ethical Dermatology: Mitigating Bias in Skin Condition Classification", Accepted for publication in International Joint Conference on Neural Networks (IJCNN), 30 June - 5 July 2024, Yokohama, Japan.

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Srishti Yadav, Anshul Pundhir, Tanish Goyal, Balasubramanian Raman, Sanjeev Kumar, "Differentially Private Spiking Variational Autoencode", Accepted for publication in International Conference on Pattern Recognition (ICPR), 1- 5 December 2024, Kolkata, India.

Contact

Anshul Pundhir
Department of Computer Science and Engineering
N-319, Machine Intelligence Lab
Indian Institute of Technology, Roorkee
e-mail: anshul_p [at] cs [dot] iitr [dot] ac [dot] in