Jitendra Paliwal's areas of expertise include development of machine-vision, vibrational spectroscopy, and artificial neural network techniques for the agri-food sector.
There are vacancies available for graduate studies for students with background in optics, imaging, and vibrational spectroscopy with specific application to stored grains and oilseeds. Currently, I am looking for a post-doctoral fellow in the area of spectroscopic analysis of grains.
• Correction of axial chromatic aberration and non-uniform pixel sensitivity in hyperspectral imaging systems
• Integration of visible and near-infrared (NIR) imaging techniques for grain quality assessment
• Development of an integrated Raman-NIR dual channel spectrograph for wheat quality assessment
• Microwave imaging to detect spoilage of grain in storage bins
• Detection of early onset of fungi in stored grain using Fourier-transform infrared (FTIR) microscopy and NIR hyperspectral imaging
• Separation of touching instances of grain kernels in digital images
• Fractionation and utilization of spent-grain obtained from bio-fuel industry