Dr. Joohi Chauhan



Dr. Joohi Chauhan

Assistant Professor
Department of Computer Science & Engineering
Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India-211004
E-mail: joohi[at]mnnit[dot]ac[dot]in
Telephone: +91 8920420559(O)

Research Publications



Patents:

“Secure Authentication using dynamic passcodes”, Patent No. 430469, 2646/DEL/2014, Government of India – The patent Office, April 28, 2023. Filed in Canada also (Application no. 2904646)

Book Chapter:

K. Agrawal, J. Chauhan, Vamseedharan, and P. Goyal, “Information Technology in Burn Care,” in Textbook of Plastic, Reconstructive, and Aesthetic Surgery, Thieme, vol. 5, pp. 697-714, 2020.

Journals:

J. Chauhan and J. Bedi, “EffViT-COVID - A Dual-path Network for COVID-19 Percentage Estimation,” Expert Systems with Applications, 213-PartB, 2023. (H-Index: 249)
M. Singh, J. Chauhan, M. Suhaib, S. Verma, and P. Goyal, “IPCRF: An End-to-end Indian Paper Currency Recognition Framework for Blind and Visually Impaired People,” IEEE Access,10, 2022. (H-Index: 204)
J. Chauhan and P. Goyal, “Convolution Neural Network for Effective Burn Region Segmentation of Color Images,” Burns, 47(4): 854-862, 2021. (H-Index: 113)
J. Chauhan and P. Goyal, “BPBSAM: Body Part specific Burn Severity Assessment Model using Deep Convolutional Neural Network,” Burns, 46(6):1407-23, 2020. (H-Index: 113)
Z. Lai, J. Chauhan, D. Chen, B. N. Dugger, S-C Cheung, and C-N Chuah, "Semi-Path: An interactive semi-supervised learning framework for gigapixel pathology image analysis," Smart Health, 32: 100474, 2024. (Accepted in CHASE Conference)
A. Villablanca, B. N. Dugger, S. Nuthikattu, J. Chauhan, S. Cheung, C-N. Chuah, S. L. Garrison, D. Milenkovic, J. E. Norman, L. C. Oliveira, B. P. Smith, S. D. Brown "How cy pres promotes transdisciplinary convergence science: an academic health center for women’s cardiovascular and brain health," Journal of Clinical and Translational Science, 8, 2024.

Conference Proceedings:

Z. Lai, LC Oliveira, J. Chauhan, BN. Dugger, C-N. Chuah, “CLIPath: Fine-tune CLIP with Visual Feature Fusion for Pathology Image Analysis Towards Minimizing Data Collection Efforts,” Workshop on Computer Vision for Automated Medical Diagnosis at International Conference on Computer Vision (ICCV), Paris, Oct. 02-06, 2023. (core A*)
J. Chauhan and P. Goyal, “A Multi-path CNN for Automated Skin Lesion Segmentation,” International Joint Conference on Neural Network (IJCNN), China, July 2021.
J. Chauhan and P. Goyal, “Deep Learning based fully automatic efficient Burn Severity Estimators for better Burn Diagnosis,” International Joint Conference on Neural Network (IJCNN), Glasgow, UK, July 2020. (core A)
J. Chauhan, R. Goswami, and P. Goyal, “Using Deep Learning to Classify Burnt Body Part Images for Better Burn Diagnosis,” In proc. Processing and Analysis of Biomedical Information, SaMBa MICCAI, Granada, Spain, Sep 2018. (core A)