Pankaj Kandhway

Assistant Professor

Department of Electrical Electronics and Communication Engineering

GITAM School of Technology

Bengaluru

Education

Ph. D.

pkandhwa@gitam.edu

Social Media

Google Scholar Scopus

Scopus

ORCiD

Dr Pankaj Kandhway received both PhD and M. Tech degrees from NIT Patna and B.Tech. degree in Electronics and Telecommunication Engineering from the C. V. Raman College of Engineering, Bhubaneswar, India. He is currently working as an Assistant Professor in the EECE department with the GITAM (Deemed to be University), Bengaluru Campus. His research interests include image enhancement, multilevel thresholding, Image Denoising, and soft computing techniques.

Research Publications

A. K. Bhandari, P. Kandhway, and S. Maurya, ‘Salp Swarm Algorithm Based Optimally Weighted Histogram Framework for Image Enhancement’, IEEE Transactions on Instrumentation and Measurement, 6807-15, 96(9), 2020. (SCIE), (Impact Factor – 5.6)
P. Kandhway, ‘An adaptive low-light image enhancement using Canonical Correlation analysis’, IEEE Transactions on Industrial informatics, 19(9), 9757-9765, 2023 (SCIE), (Impact Factor – 12.3).
P. Kandhway, ‘A novel adaptive contextual information-based 2D-histogram for image thresholding’, Expert Systems with Applications, 238, 122026, 2024. (SCIE), (Impact Factor – 8.5)
P. Kandhway, A. K. Bhandari, and A. Singh, ‘A Novel Reformed Histogram Equalization Based Medical Image Contrast Enhancement Using Krill Herd Optimization’, Biomedical Signal Processing and Control (Elsevier), 101677, 56, 2020. (SCIE), (Impact Factor – 5.1)
P. Kandhway and A. K. Bhandari, ‘Spatial context based optimal multilevel energy curve thresholding for image segmentation using soft computing techniques’, Neural Computing and Applications, (Springer), 8901-8937, 32(13), 2020. (SCIE), (Impact Factor – 6)

Expertise

Image Enhancement, Image Segmentation and Image Denoising Techniques.
Soft Computing.