Krishna Kumar P

External Consultant | kkumar at iihs dot ac dot in


2017   PhD, Computer Science and Engineering, National Institute of Technology, Surathkal
2013   MTech, Computer Vision and Image Processing, Amrita Vishwavidyapeetham, Coimbatore
2010   BTech, Electronics and Communication Engineering, Kannur University, Kannur




Countries: India
States: Kerala, Tamil Nadu, Karnataka
Cities: Kannur, Calicut, Coimbatore, Mangalore, Bengaluru
Languages: English, Malayalam, Hindi, Tamil

Krishna Kumar’s PhD thesis focused on the image-based measurement of lumen diameter (LD) and inter-adventitial diameter (IAD) of the human carotid artery. His research interest includes Computer Vision, Image Processing and Machine Learning.


Prior to joining IIHS, Krishna Kumar worked as an Ad-hoc faculty at the Department of Computer Science and Engineering, National Institute for Technology Calicut, Kerala. At IIHS, he is part of the Academics and Research Team in the Geospatial Lab. His work involves applying methods from Computer Vision and Machine Learning to urban spatial analysis. He also assists in developing new analysis methods using remote sensed data.

  • Kumar, P. K., Balakrishnan, K., & Tripathy, P. (2021). A CNN based method for Sub-pixel urban land cover classification using Landsat-5 TM and Resourcesat-1 LISS-IV imagery.
  • Kumar, P. K., Araki, T., Rajan, J., Laird, J. R., Nicolaides, A., & Suri, J. S. (2018). State-of-the-art review on automated lumen and adventitial border delineation and its measurements in carotid ultrasound. Computer methods and programs in biomedicine, 163, 155-168.
  • Nagaraj, Y., Madipalli, P., Rajan, J., Kumar, P. K., & Narasimhadhan, A. V. (2018). Segmentation of intima media complex from carotid ultrasound images using wind driven optimization technique. Biomedical Signal Processing and Control40, 462-472.
  • Kumar, P. K., Araki, T., Rajan, J., Saba, L., Lavra, F., Ikeda, N., … & Gupta, A. (2017). Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach. Medical & biological engineering & computing55(8), 1415-1434.
  • Araki, T., Kumar, A. M., Kumar, P. K., Gupta, A., Saba, L., Rajan, J., … & Suri, J. S. (2016). Ultrasound-based automated carotid lumen diameter/stenosis measurement and its validation system. Journal for Vascular Ultrasound40(3), 120-134.
  • Araki, T., Kumar, P. K., Suri, H. S., Ikeda, N., Gupta, A., Saba, L., … & Suri, J. S. (2016). Two automated techniques for carotid lumen diameter measurement: regional versus boundary approaches. Journal of medical systems40(7):182.
  • Saba, L., Araki, T., Kumar, P. K., Rajan, J., Lavra, F., Ikeda, N., … & Suri, J. S. (2016). Carotid inter‐adventitial diameter is more strongly related to plaque score than lumen diameter: An automated tool for stroke analysis. Journal of Clinical Ultrasound44(4), 210-220.
  • Soorajkumar, R., Kumar, P. K., Girish, D., & Rajan, J. (2016). Coupled PDE for ultrasound despeckling using ENI classification. Procedia Computer Science89, 658-665.
  • Sharma, A. M., Gupta, A., Kumar, P. K., Rajan, J., Saba, L., Nobutaka, I., … & Suri, J. S. (2015). A review on carotid ultrasound atherosclerotic tissue characterization and stroke risk stratification in machine learning framework. Current atherosclerosis reports17(9): 55.
  • Kumar, P. K., Darshan, P., Kumar, S., Ravindra, R., Rajan, J., Saba, L., & Suri, J. S. (2015). Magnetic resonance image denoising using nonlocal maximum likelihood paradigm in DCT‐framework. International Journal of Imaging Systems and Technology25(3), 256-264.
  • Sharma, A. M., Araki, T., Kumar, P. K., Ikeda, N., Lavra, F., Rajan, J., … & Suri, J. S. (2015). Accurate Measurement of Carotid Lumen Diameter and Narrowing Utilizing Ultrasound. Arteriosclerosis, Thrombosis, and Vascular Biology35(suppl_1). https://doi/abs/10.1161/atvb.35.suppl_1.509


Other Writing 

  • Kumar, P. K. (2017). Measurement of carotid artery wall thickness and diameters from MR and US images (Unpublished doctoral dissertation). National Institute of Technology, Mangalore, Karnataka.
  • Soorajkumar, R., Kumar, P. K., Girish, D., & Rajan, J. (2016). Fourth order PDE based ultrasound despeckling using ENI classification. In IEEE International conference on signal processing and communications (SPCOM) (pp. 1-5). Bangalore, India: Indian Institute of Science.
  • Kumar, P. K., Kesavadas, C., & Rajan, J. (2016). A semi-automatic method for carotid artery wall segmentation in MR images. In IEEE Annual India Conference (INDICON) (pp. 1-6). Bangalore, India: Indian Institute of Science.
  • Kumar, P. K., & Parameswaran, L. (2013). A hybrid method for object identification and event detection in video. In IEEE 4th National conference on computer vision, pattern recognition, image processing and graphics (pp. 1-4). Jodhpur, India: Indian Institute of Technology.