Publications

Multimedia Security: Sensor Forensics

• S. Joshi, M. Lamba, V. Goyal and N. Khanna, “Augmented Data and Improved Noise Residual-Based CNN for Printer Source Identification,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASPP), Calgary, Canada, April 2018.[Accepted]
• S. Joshi, N. Khanna, "Single classifier-based passive system for source printer classification using local texture features," IEEE Transactions on Information Forensics and Security, Dec 2017.
• P.-J. Chiang, N. Khanna, A. K. Mikkilineni, M. V. O. Segovia, S. Suh, J. P. Allebach, G. T. C. Chiu, and E. J. Delp, “Printer and Scanner Forensics,” IEEE Signal Processing Magazine, vol. 26, no. 2, pp. 72-83, March 2009.
• N. Khanna, A. K. Mikkilineni, and E. J. Delp, “Scanner Identification using Feature-Based Processing and Analysis,” IEEE Transactions on Information Forensics and Security, vol. 4, no. 1, pp. 123-139, March 2009.
• N. Khanna, A. K. Mikkilineni, and E. J. Delp, “Forensic Camera Classification: Verification of Sensor Pattern Noise Approach,” Forensic Science Communications (FSC), vol. 11, no. 1, January 2009.
• N. Khanna, A. K. Mikkilineni, A. F. Martone, G. N. Ali, G. T.-C. Chiu, J. P. Allebach, and E. J. Delp, “A Survey of Forensic Characterization Methods for Physical Devices,” Digital Investigation, vol. 3 supplement, pp. 17- 28, September 2006.

Signal Processing for Healthcare

• Nitin Khanna, Heather A. Eicher-Miller, Hemant K. Verma, Carol J. Boushey, Saul B. Gelfand, and Edward J. Delp, "Modified Dynamic Time Warping (MDTW) for Estimating Temporal Dietary Patterns," 5th IEEE Global Conference on Signal and Information Processing (GlobalSIP), Montreal, Canada, November 2017.
• H. 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, Date of acceptance: May 2015.
• Z. Ahmad, N. Khanna, D. A. Kerr, C. J. Boushey, and E. 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.

Low Complexity Image Analysis

• F. 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.
• S. Kumar, R. Gupta, N. Khanna, S. Chaudhury, and S. D. Joshi, “Text Extraction and Document Image Segmentation using Matched Wavelets and MRF Model,” IEEE Transactions on Image Processing,, vol. 16, no. 8, pp. 2117-2128, August 2007.

Image Analysis and Machine Learning for Remote Sensing

• A. H. Tayyebi, A. Tayyebi, and N. Khanna, “Assessing Uncertainty Dimensions in Land-Use Change Models: Using Swap and Multiplicative Error Models for Injecting Attribute and Positional Errors in Spatial Data”, International Journal of Remote Sensing, vol. 35, no. 1, pp. 149-170, 2014.