Pundhir, A., Verma, D., Kumar, P., Raman, B. (2022). 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.
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
- Gave a topper talk on chamomile tea with toppers for JRF strategy (Link)
- NTA NET JRF (99.88% ile), 2019
- GATE qualified, 2018
- NET (June, Dec) qualified, 2018
- Awarded third in National Science Exhibition, 2013
- Third rank in city, National Science Olympiad, 2011
Research_Interests
- Medical Imaging
- Computer Vision
- Machine learning
- Deep Learning
Experience
- Selected for Six-months Deloitte work-studentship program
- Intern at Samsung R&D Institute Bangalore (SRI-B), India (August 2022 - February 2023)
- Intern at IISc Bangalore (April-July, 2021)
- Attended The Workshop on Computer Vision and Image Processing (WCVIP), IIT Roorkee, Uttarakhand, 14-24 Dec 2020 (Virtual)
- Attended IEEE International Conference on Image Processing (ICIP), Abu Dhabi, UAE, 25-28 Oct 2020 (Virtual)
- Organized a training session on Dimensionality Reduction Algorithms during the workshop on Digital Image Processing & Applications (DIPA) at NIT Arunachal Pradesh, Aug 2020 (Virtual)
Publications
A. Pundhir, S. Dadhich, A. Agarwal and B. Raman, "Towards Improved Skin Lesion Classification using Metadata Supervision," 2022 26th International Conference on Pattern Recognition (ICPR), Montreal, QC, Canada, 2022, pp. 4313-4320, doi: 10.1109/ICPR56361.2022.9956071
Pundhir, A., Agarwal, A., Dadhich, S., Raman, B. (2022). 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.
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