Journal
H. T. Ngo, R. N. Rakvic, R. P. Broussard, R. W. Ives, and M. T. Carothers “Pipeline-Parallel Architecture Design for Feature Extraction and Template Matching for a Real-Time Iris Recognition System,” Electronics, 10, no. 3:241, 2021.
Dane Brown, T. Owens Walker III, Justin Blanco, Robert W. Ives, Hau Ngo, James Shey, Ryan Rakvic, “Detecting Firmware Modification on Solid State Drives via Current Draw Analysis,” Computer & Security vol. 102, March 2021.
T. Owens Walker, Justin A. Blanco, Ryan Rakvic, Ann Vanleer, Dane Brown, James Shey, Gregory L. Sinsley, Hau T. Ngo, Robert W. Ives, "Classifying Proprietary Firmware on a Solid State Drive Using Idle State Current Draw Measurements," in IEEE Access, vol. 8, pp. 31869-31881, 2020, doi: 10.1109/ACCESS.2020.2973605.
James Shey, Justin A. Blanco, Owens Walker, Thomas Tedesso, Hau Ngo, Ryan Rakvic, and Kevin D. Fairbanks, “Monitoring Device Current to Characterize Trim Operations of Solid-State Drives,” IEEE Transactions on Information Forensics and Security, vol. 14, issue 5, pp. 1296-1306, May 2019.
T. Murphy, R. P. Broussard, R. Schultz, R. N. Rakvic, and H. T. Ngo, “Face detection with a Viola-Jones based hybrid network,” IET Biometrics, vol. 6, issue 3, pp. 200-210, May 2017.
M. A. Tsao, H. T. Ngo, R. Corsaro, and C. R. Anderson, “An In Situ Measurement System for Characterizing Orbital Debris,” IEEE Transactions on Instrumentation and Measurement, vol. 65, issue 12, pp. 2758-2772, December 2016.
R. N. Rakvic, R. P. Broussard, and H. T. Ngo, “Energy Efficient Iris Recognition with Graphics Processing Units,” in IEEE Access, vol. 4, pp. 2831-2839, June 2016.
H. T. Ngo, R. N. Rakvic, R. P. Broussard, and R. W. Ives, “Resource-aware architecture design and implementation of Hough transform for a real-time iris boundary detection system,” in IEEE Transactions on Consumer Electronics, vol. 60, no. 3, pp. 485-492, August 2014.
H. T. Ngo, R. W. Ives, R. N. Rakvic, and R. P. Broussard, “Real-time video surveillance on an embedded, configurable platform,” in Microprocessors and Microsystems: Embedded Hardware Design, vol. 37, issues 6-7, pp. 562-571, August-October 2013.
R. N. Rakvic, H. T. Ngo, R. P. Broussard, and R. W. Ives, “Comparing an FPGA to a Cell for an image processing application,” in EURASIP Journal on Advances in Signal Processing: Special Issue on Advanced Image Processing for Defense and Security Applications, vol. 2010, Article ID 764838, doi:10.1155/2010/764838, April 2010.
H. T. Ngo and K. V. Asari, “Partitioning and gating technique for low power multiplication in video processing applications,” in Microelectronics Journal, vol. 40, no. 11, pp. 1562-1589, November 2009.
H. T. Ngo, M. Z. Zhang, L. Tao, and K. V. Asari, “Design of a high performance architecture for real-time enhancement of video stream captured in extremely low lighting environment,” in Microprocessors and Microsystems: Embedded Hardware Design, vol. 33, no. 4, pp. 273-280, June 2009.
M. Z. Zhang, H. T. Ngo, A. R. Livingston, and K. V. Asari, “A high performance architecture for implementation of 2-D convolution with quadrant symmetric kernels,” in International Journal of Computers and Applications, vol. 30, no. 4, pp. 298-309, December 2008.
H. T. Ngo, K. V. Asari, M. Z. Zhang, and L. Tao, “Design of a systolic-pipelined architecture for real-time enhancement of color video stream based on an illuminance-reflectance model,” in Integration, the VLSI Journal, vol. 41, no. 4, pp. 474-488, July 2008.
H. T. Ngo and V. K. Asari, “Developing a FPGA-based high performance, power-aware architecture for real-time radial lens distortion correction of video stream,” in International Journal of Programmable Devices, Circuits, and Systems – Special Issue on FPGA-based Digital Signal and Image Processing Systems, vol. 7, no. 1, pp. 33-41, May 2007.
M. Z. Zhang, H. T. Ngo, and V. K. Asari, “Multiplier-less VLSI architecture for real-time computation of multi-dimensional convolution,” in Journal of Microprocessors and Microsystems, vol. 31, pp. 25-37, February 2007.
R. Gottumukkal, H. T. Ngo, and K. V. Asari, ”Multi-lane architecture for Eigenface based real-time face recognition,” in Journal of Microprocessors and Microsystems, vol. 30, no. 4, pp. 216-224, June 2006.
H. T. Ngo and K. V. Asari, “A pipelined architecture for real-time correction of barrel distortion in wide-angle camera images,” in IEEE Transactions of Circuits and Systems for Video Technology, vol. 15, no. 3, pp. 436-444, March 2005.
M.J. Seow, H. T. Ngo, and K. V. Asari, "Systolic implementation of 2-D block based Hopfield neural network for efficient pattern association," in Journal of Microprocessors and Microsystems, vol. 27, no. 8, pp. 359-366, August 2003.
Conference
Joshua Ralston and Hau Ngo, “Design of an embedded system for real-time lane detection based on the linear Hough transform,” in the proceedings of SPIE 11736, Real-Time Image Processing and Deep Learning 2021, 117360J; doi: 10.1117/12.2588037, April 2021.
K Sai Praveen, Mohit Garg, Sriyash Caculo, Hau Ngo, Siew-Kei Lam and T. Srikanthan, “HARDY: Hardware based Analysis for malware Detection in embedded sYstems,” In Proceedings of the 33rd IEEE International System-on-Chip Conference (IEEE SOCC 2020), September 2020.
Rupam Mondal, Hau Ngo, James Shey, Ryan Rakvic, Owens Walker, Dane Brown, “Efficient Architecture Design for the AES-128 Algorithm on Embedded Systems” in Proceedings of the 17th ACM International Conference on Computing Frontiers 2020, pp. 89-97, May 2020.
Joshua Ridge, Charles Nelson, Owens Walker, and Hau Ngo, “Underwater 2-D Visible Light Communication System,” In Proceedings of SPIE Defense and Commercial Sensing - Volume 11420, Ocean Sensing and Monitoring XII; 114200C (2020), https://doi.org/10.1117/12.2557920, 27 April – 01 May 2020.
. P. Kadiyala, V. K. Pudi, M. Garg, H. Ngo, S. Lam and S. Thambipillai, "Hardware Efficient NIPALS Architecture for Principal Component Analysis of Hyper Spectral Images," 2019 32nd IEEE International System-on-Chip Conference (SOCC), Singapore, 2019, pp. 224-229, doi: 10.1109/SOCC46988.2019.1570555870.
Ryan S. McDowell, Hau Ngo, Ryan Rakvic, Owens Walker, Robert W. Ives, and Dane Brown, “Using Current Draw Analysis to Identify Suspicious Firmware Behavior in Solid State Drives,” in proceedings of the 22nd IEEE/ACM International Conference on Computational Science and Engineering (IEEE CSE 2019), pp. 92-97, 1-3 August 2019.
Brown D, Walker O, Rakvic R, Ives R, Ngo H, Shey J, Blanco JA., “Towards detection of modified firmware on solid state drives via side-channel analysis.” In Proceedings of the fourth ACM International Symposium on Memory Systems (MemSys 2018), pp. 315-320, October 2018 (invited paper).
Zachary Johnson, Alex Varon, Justin Blanco, Ryan Rakvic, James Shey, Hau Ngo, Dane Brown, Owens Walker, “Classifying Solid State Drive Firmware via Side-Channel Current Draw Analysis,” submitted to the fourth IEEE International Conference on Big Data Intelligence and Computing (DataCom 2018), pp. 943-948, August 2018.
Jacob Melton, Ryan Rakvic, James Shey, Hau Ngo, Owens Walker, Justin Blanco, Dane Brown, and Kevin Fairbanks, “Inferring File System of Solid State Drives based on Current Consumption,” the 7th Annual IEEE Int. Conf. on CYBER Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER 2017), pp. 72.76, July 31 – August 4, 2017.
JonPaul Canclini, James McMasters, James Shey, Owens Walker, Ryan Rakvic, Hau Ngo, and Kevin D. Fairbanks, “Inferring Read and Write Operations of Solid-State Drives Based on Energy Consumption,” the 7th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference, pp. 1-6, August 2016.
J. Shey, R. Rakvic, H. Ngo, O. Walker, T. Tedesso, J. A. Blanco, and K. Fairbanks, “Inferring Trimming Activity of Solid-State Drives Based on Energy Consumption,” 2016 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2016), Taipei, Taiwan, May 23-26, 2016.
M. T. Carothers, H. T. Ngo, R. N. Rakvic, R. P. Broussard, “Iris unwrapping using the Bresenham circle algorithm for real-time iris recognition,” Proceedings of the SPIE 9400, Real-Time Image and Video Processing 2015, 94000E; doi:10.1117/12.2079801; February 2015.
L. Sellami, H. T. Ngo, C. Fowler, and L. Kearney, “Near infrared face recognition using OpenCV software” Proceedings of the SPIE 9070, Infrared Technology and Applications XL, 90703H; June 2014.
T. M. Murphy, R. Broussard, R. Schultz, R. Rakvic, H. T. Ngo, A Biological Perspective of Viola-Jones Face Detection,” Mid Atlantic Micro Nano Alliance (MAMNA) 2014 Spring Symposium, pp. 1-4, 10 March 2014.
T. M. Murphy, R. Broussard, R. Schultz, R. Rakvic, H. T. Ngo, “A Viola-Jones based hybrid face detection framework,” IS&T/SPIE Electronic Imaging 2014 Conference, San Francisco, California, pp. 1-11, 2-6 February 2014.
H. T. Ngo, J. Shafer, R. W. Ives, R. N. Rakvic, and R. P. Broussard, “Real-time iris segmentation on FPGA,” Proceedings of the 23rd IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP 2012), Delft, The Netherlands, pp. 1-7, July 2012.
R.W. Ives, H. T. Ngo, S. Winchell, and J. Matey, “Initial evaluation of multispectral iris imagery,” Proceedings of the IET Image Processing Conference 2012, London, U.K., June 2012.
M. A. Tsao, H. T. Ngo, C. R. Anderson, A. C. Sadilek, V. L. Pisacane, F. Giovane, R. Corsaro, M. J. Burchell, E. Stransberry, and J- C. Liou, “Prototyping and testing a debris resistive acoustic grid orbital Navy sensor,” Proceedings of the 2012 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2012), Graz, Austria, pp. 274-279, May 2012.
R.W. Ives, H. T. Ngo and S. Winchell, “Evaluating the information content of near-infrared iris imagery,” Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2011), Barcelona, Spain, October 2011.
H. T. Ngo, R. N. Rakvic, R. P. Broussard, and R. W. Ives, “Rapid prototyping of an automated video surveillance system: a hardware-software co-design approach,” Proceedings of the SPIE 8063, Mobile Multimedia/Image Processing, Security, and Applications 2011, 80630O; doi:10.1117/12.884331, April 2011.
M. D. Ramsey, D. J. Ash, E. M. Bunker, B. D. Harden, T. M. Musmanno, C. R. Anderson, H. T. Ngo, A. C. Sadilek , V. L. Pisacane, F. Giovane, R. Corsaro, M. J. Burchell, E. G. Stansbery, and J-C Liou, “Debris resistive acoustic grid orbital Navy sensor (DRAGONS),” AIAA Infotech@Aerospace Conference, St. Louis, MO, March 2011.
J. Shafer, H. T. Ngo, and R. W. Ives, “Using an FPGA to accelerate the Hough transform in iris recognition,” Proceedings of the 44th Asilomar Conference on Signals, Systems and Computers, pp. 1774-1777, November 2010.
R. N. Rakvic, H. T. Ngo, R. P. Broussard, and R. W. Ives, "FPGA or cell for an image processing application," Proceedings of the 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies, pp.271-274, December 2009.
H. T. Ngo, R. W. Ives, J. Matey, J. Dormo, M. Rhoads, and D. Choi, “Design and implementation of a multispectral iris capture system,” Proceedings of the 43rd Asilomar Conference on Signals, Systems and Computers, pp. 380-381, November 2009.
H. T. Ngo and K. V. Asari, “Neighborhood dependent approach for low power 2D convolution in video processing applications,” Proceedings of the IEEE Conference on Industrial Electronics and Applications, ICIEA 2009, Xi'an, China, pp. 656-661, May 2009.
H. T. Ngo and K. V. Asari, “Design of a logarithmic domain 2-D convolver for low power video processing applications,” Proceedings of the 6th International Conference on Information Technology: New Generations, ITNG 2009, Las Vegas, Nevada, pp.1280-1285, April 2009.
H. T. Ngo, R. N. Rakvic, R. P. Broussard, and R.W. Ives, “An FPGA-based design of a modular approach for integral images in a real-time face detection/recognition system,” Proceedings of the SPIE Symposium on Defense Security + Sensing, Orlando, FL, vol. 7351, pp. 73510B-1 - 73510B-10, April 2009.
B. Ulis, R.P. Broussard, R. N. Rakvic, R.W. Ives, N. Steiner, and H. T. Ngo, “Hardware based segmentation in iris recognition and authentication systems,” Proceedings of theSPIE Symposium on Defense Security + Sensing, Orlando, vol. 7351, pp. 73510W-1 – 73510W-10, April 2009.
H. T. Ngo, R. J. Voigt, and K. V. Asari, “A neighborhood dependent approach (NDA) for a power-aware design of a real-time video enhancement system,” Proceedings of the ISCA 24th International Conference on Computers and Their Applications - CATA 2009, New Orleans, Louisiana, pp. 69-74, April 2009.
H. T. Ngo, R. C. Tompkins, J. Foytik, and K. V. Asari, “An area efficient modular architecture for real-time detection of multiple faces in video stream,” Proceedings of the 6th International Conference on Information, Communications and Signal Processing - ICICS 2007, Singapore, December 2007.
H. T. Ngo and K. V. Asari, “Design of a radix-4 booth multiplier with neighborhood dependent approach for video processing applications,” Proceedings of the IEEE International Midwest Symposium on Circuits and Systems - MWSCAS 2007, and the 5th IEEE International NEWCAS Conference - IEEE-NEWCAS 2007, pp.53-56, August 2007.
H. T. Ngo, S. Gundimada and K. V. Asari, “Design and implementation of an efficient and power-aware architecture for skin segmentation in color video stream,” Proceedings of the IEEE 18th International Conference on Application Specific Systems, Architectures and Processors - ASAP 2007, pp. 216-221, July 2007.
H. T. Ngo and K. V. Asari, “Design of a low power multiply-accumulator for 2d convolution in video processing applications,” Proceedings of the Fourth International Conference on Information Technology: New Generations - ITNG 2007, Las Vegas, Nevada, pp. 196-201, April 2007.
H. T. Ngo and K. V. Asari, “Low power arithmetic units for video processing systems,” Proceedings of the 10th IEEE International Conference on Communication Systems - ICCS 2006, Singapore, TP2-4, pp. 1-5, October 2006.
H. T. Ngo and K. V. Asari, “Design of a high performance digital architecture for real-time correction of radial lens distortion,” Proceedings of the 49th IEEE International Midwest Symposium on Circuits and Systems – MWSCAS 2006, Puerto Rico, pp. 3242-1-5, August 2006.
H. T. Ngo, M. Z. Zhang, L. Tao and K. V. Asari, “Design of a digital architecture for real-time video enhancement based on illuminance-reflectance model,” Proceedings of the 49th IEEE International Midwest Symposium on Circuits and Systems – MWSCAS 2006, Puerto Rico, pp. 3179-1-5, August 2006.
L. Tao, H. T. Ngo, M. Z. Zhang, A. Livingston, and K. V. Asari, “Multi-sensor image fusion and enhancement system for assisting drivers in poor lighting conditions,” Proceedings of the IEEE International Workshop on Applied Imagery and Pattern Recognition, AIPR - 2005, Washington DC, pp. 113-118, October 2005.
H. T. Ngo, L. Tao, A. Livingston, M. Z. Zhang, and K. V. Asari, “A visibility improvement system for low vision drivers by nonlinear enhancement of fused visible and infrared video,” IEEE Computer Society Proceedings of the 1st Workshop on Computer Vision Applications for the Visually Impaired – CVAVI 2005 in conjunction with the IEEE Conference on Computer Vision and Pattern Recognition – CVPR 2005, San Diego, CA, pp. 1-8, June 2005.
H. T. Ngo, R. Gottumukkal, and K. V. Asari, “A flexible and efficient hardware architecture for real-time face recognition based on Eigenface,” Proceedings of the IEEE International Symposium on VLSI – ISVLSI 2005, Tampa, Florida, pp. 280-281, May 2005.
A. Livingston, H. T. Ngo, M. Z. Zhang, L. Tao, and K. V. Asari, “Design of a real time system for nonlinear enhancement of video streams by an integrated neighborhood dependent approach,” Proceedings of the IEEE International Symposium on VLSI – ISVLSI 2005, Tampa, Florida, pp. 301-302, May 2005.
M. Zhang, H. T. Ngo, A. Livingston, and K. V. Asari, “An efficient VLSI architecture for 2-d convolution with quadrant symmetric kernels,” Proceedings of the IEEE International Symposium on VLSI – ISVLSI 2005, Tampa, Florida, pp. 303-304, May 2005.
H. T. Ngo, L. Tao, and K. V. Asari, “A nonlinear technique for enhancement of color mages: an architectural perspective for real-time applications,” Proceedings of the IEEE International Workshop n Applied Imagery and Pattern Recognition, AIPR - 2004, Washington DC, pp. 124-129, October 2004.
H. T. Ngo, L. Tao and K. V. Asari, “Design of an efficient architecture for real-time image enhancement based on a luma-dependent nonlinear approach,” Proceedings of the IEEE Computer Society International Conference on Information Technology: Coding and Computing – ITCC 2004, Las Vegas, Nevada, pp. 656-660, April 2004.
H. T. Ngo and K. V. Asari, "A fully pipelined architecture for barrel-distortion correction based on back mapping and linear interpolation," Proceedings of The 2003 International Conference on Embedded Systems and Applications - ESA'03, (Methodologies in Low Power Design - MLPD'03), Las Vegas, Nevada, pp. 268-274, June 2003.
M.J. Seow, H. T. Ngo, and K. V. Asari, "Systolic array implementation of block based Hopfield neural network for pattern association," Proceedings of the IEEE Annual Symposium on VLSI - ISVLSI 2003, Tampa, Florida, pp. 213-214, February 2003.
H. T. Ngo and K. V. Asari, "Design of an efficient VLSI architecture for real-time correction of barrel distortion in wide- angle camera images," Proceedings of 10th NASA Symposium on VLSI Design, pp. 8.5.1- 8.5.7, March 2002.
Book Chapter
M. Z. Zhang, H. T. Ngo, and K. V. Asari, “Design of an efficient multiplier-less architecture for multi-dimensional convolution,” Lecture Notes in Computer Science - Springer-Verilag Berlin Heidelberg (ISBN: 3-540-29643-3), Advances in Computer Systems Architecture, Edited by T. Srikanthan, J. Xue and C. H. Chang, vol. 3740/2005, pp. 65-78, October 2005.