Nitin Khanna

Prof Nitin Khanna is an Assistant Professor in Electrical Engineering at IIT Gandhinagar since July 2015. His research interests include image and video processing in general and multimedia security – sensor forensics, signal processing for healthcare, and low complexity image processing, in particular. He received the Bachelor of Technology degree in Electrical Engineering from the Indian Institute of Technology, Delhi, India, and Ph. D. in Electrical and Computer Engineering at Purdue University, West Lafayette, Indiana. Before joining IIT Gandhinagar, he worked as a Post-doctoral Research Associate in Video and Image Processing Laboratory at School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN.

He has worked on designing low complexity imaging methods for using mobile device for acquiring, processing and delivering multimedia content and use of machine learning techniques for smart health and wellbeing applications. His work is published in reputed journals including IEEE Transactions on Image Processing, IEEE Transactions on Information Forensics and Security and IEEE Signal Processing Magazine. He has active collaboration with researchers at Purdue University on research problems related to healthcare. In healthcare domain, his main interest lies in designing algorithms for signal processing related to life style pattern estimation (dietary patterns) and in application of image processing techniques for early detection and for increasing the level of automation and decreasing subjectivity in diagnostic techniques.

Selected Publications

  1. Zhu, M. Bosch, N. Khanna, C. J. Boushey, and E. J. Delp, “Multiple Hypotheses Image Segmentation and Classification with Application to Dietary Assessment,” IEEE Journal of Biomedical and Health Informatics, vol. 19, no. 1, pp. 377-388, January 2015 (Impact Factor: 2.07).
  2. E. Miller, N. Khanna, C. J. Boushey, S. Gelfand, and E. J. Delp, “Temporal dietary patterns derived among US adults using NHANES 1999-2004 are associated with diet quality,” Journal of the Academy of Nutrition and Dietetics (JAND), Elsevier, vol. 116, no. 2, pp. 283 – 291, February 2016 (Impact Factor: 2.44).
  3. Khanna, H. E. Miller, C. J. Boushey, S. Gelfand, and E.J. Delp, “Kernel K-means Clustering for Temporal Dietary Patterns in Adult Participants of NHANES 1999-2004,” 8th International Conference on Diet and Activity Methods, Rome, Italy, May 2012.
  4. Ye He, Chang Xu, Khanna, C. J. Boushey, and E.J. Delp, “Context Based Food Image Analysis,” IEEE International Conference on Image Processing (ICIP), pp. 2748-2752, Melbourne, Australia, September 2013.
  5. Chang Xu, Ye He, Khanna, C. J. Boushey, and E.J. Delp, “Model-Based Food Volume Estimation Using 3D Pose,” IEEE International Conference on Image Processing (ICIP), pp. 2534-2538, Melbourne, Australia, September 2013.
  6. Ziad Ahmad, Khanna, Deborah A. Kerr, Carol J. Boushey, and Edward J. Delp, “A Mobile Phone User Interface for Image-based Dietary Assessment,” Proceedings of Electronic Imaging – Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications (IS&T/SPIE), pp. 903007-1-9, California, USA, February, 2014.
  7. Ye He, Chang Xu, Khanna, C. J. Boushey, and E.J. Delp, “Analysis of Food Images: Features and Classification,” IEEE International Conference on Image Processing (ICIP), pp. 2744-2748, Paris, France, October 2014.

Funded Projects

Title: Printed Document Security using Intrinsic Characteristics of Imaging Devices (Role: PI).

Sponsor: Department of Atomic Energy (DAE)-Board of Research in Nuclear Sciences (BRNS), India