SELECTED PUBLICATIONS

Journal Papers

2022

      [SCI, IF:11.079] J. Xue, Y. Zhao, W. Liao, J. C. Chan, and S. G. Kong, When Laplacian Scale Mixture Meets Three-Layer Transform: A Parametric Tensor Sparsity for Tensor Completion, IEEE Trans. Cybernetics, Minor Revision, Oct. 2021.

      [SCI, IF:10.451] J. Xue, Y. Zhao, S. Huang, W. Liao, J. C. Chan, and S. G. Kong, Multilayer Sparsity-based Tensor Decomposition for Low-rank Tensor Completion, IEEE Trans. Neural Networks and Learning Systems, Published Online, Jun. 2021.

      [SCI, IF:8.979] L. Chen, Y. Zhao, J. C. Chan, and S. G. Kong, Histograms of Oriented Mosaic Gradients for Snapshot Spectral Image Description, ISPRS Journal of Photogrammetry and Remote Sensing, 183:79-93, Jan. 2022.

 

2021

      [SCI, IF:8.979] N. Li, Y. Zhao, Q. Pan, S. G. Kong, and J. C. Chan, Illumination-Invariant Road Detection and Tracking Using LWIR Polarization Characteristics, ISPRS Journal of Photogrammetry and Remote Sensing, 180:357-369, Oct. 2021.

      [SCI, IF:3.301] M. Li, N. Yao, S. Li, Y. Zhao, and S. G. Kong, Multisensor Image Fusion for Automated Detection of Defects in Printed Circuit Boards, IEEE Sensors Journal, 21(20):23390-23399, Oct. 2021.

      [SCI, IF:3.490] K. Feng, Y. Zhao, J. C. Chan, and S. G. Kong, X. Zhang, and B. Wang, Mosaic Convolution-Attention Network for Demosaicking Multispectral Filter Array Images, IEEE Trans. Computational Imaging, 7:864-878, Aug. 2021.

      [SCI, IF:3.894] R. Wu, Y. Zhao, N. Li, and S. G. Kong, Polarization Image Demosaicking using Polarization Channel Difference Prior, Optics Express, 29(14):22066-22079, Jul. 2021.

      [SCI-E, IF:4.848] L. Chen, Y. Zhao, J. Yao, J. Chen, N. Li, J. C. Chan, and S. G. Kong, Object Tracking in Hyperspectral-Oriented Video with Fast Spatial-Spectral Features, Remote Sensing, 13(10):1922, May 2021.

      [SCI, IF:3.301] J. Hao, Y. Zhao, W. Liu, S. G. Kong, and G. Liu, A Micro-Polarizer Array Configuration Design Method for Division of Focal Plane Imaging Polarimeter, IEEE Sensors Journal, 21(3):2828-2838, Feb. 2021.

      [SCI, IF:5.855] Y. Bu, Y. Zhao, J. Xue, J. C. Chan, S. G. Kong, C. Yi, J. Wen, and B. Wang, Hyperspectral and Multispectral Image Fusion via Graph Laplacian Guided Coupled Tensor Decomposition, IEEE Trans. Geoscience and Remote Sensing, 59(1):648-662, Jan. 2021.

 

2020

      [SCI, IF:11.683] J. Xue, Y. Zhao, W. Liao, J. C. Chan, and S. G. Kong, Enhanced Sparsity Prior Model for Low-rank Tensor Completion, IEEE Trans. Neural Networks and Learning Systems, 31(11):4567-4581, Nov. 2020.

      [SCI-E, IF:3.076] Y. Zhao, M. Reda, K. Feng, P. Zhang, G. Cheng, Z. Ren, S. G. Kong, S. Su, H. Huang, and J. Zang, Detecting Giant Cell Tumor of Bone Lesions using Mueller Matrix Polarization Microscopic Imaging and Multi-parameters Fusion Network, IEEE Sensors Journal, 20(13):7208-7215, Jul. 2020.

      [SCI, IF:4.118] C. Yi, Y. Zhao, J. C. Chan, and S. G. Kong, Joint spatial-spectral resolution enhancement of multispectral images with spectral matrix factorization and spatial sparsity constraints, Remote Sensing, 12(6):993, Mar. 2020.

      [SCI, IF:4.118] X. Kong, Y. Zhao, J. C. Chan, J. Xue, and S. G. Kong, Global and Local Tensor Sparse Approximation Models for Hyperspectral Image Destriping, Remote Sensing, 12(4):704, Feb. 2020.

 

2019

      [SCI, IF:5.452] L. Shen, Y. Zhao, Q. Peng, J. C. Chan, and S. G. Kong, An Iterative Image Dehazing Method with Polarization, IEEE Trans. Multimedia, 21(5):1093-1107, May 2019.

      [SCI-E, IF:3.356] N. Li, Y. Zhao, Q. Pan, and S. G. Kong, Demosaicking DoFP Images using Newtons polynomial interpolation and polarization difference model, Optics Express, 27(2):1376-1391, Jan. 2019.

 

2018

      [SCI, IF:4.942] L. Li, Y. Zhao, J. Sun, R. Stolkin, Q. Pan, J. C. Chan, S. G. Kong, and Z. Liu, Deformable Dictionary Learning for SAR Image Change Detection, IEEE Trans. Geoscience and Remote Sensing, 56(8):4605-4617, Aug. 2018.

      [SCI-E, IF:3.307] N. Li, Y. Zhao, Q. Pan, and S. G. Kong, Removal of Reflections in LWIR Image with Polarization Characteristics, Optics Express, 26(13):16488-16504, Jun. 2018.

      [SCI, IF:4.942] J. Xue, Y. Zhao, W. Liao, and S. G. Kong, Joint Spatial and Spectral Low-Rank Regularization for Hyperspectral Image Denoising, IEEE Trans. Geoscience and Remote Sensing, 56(4):1940-1958, Apr. 2018.

 

2017

      [SCI, IF:4.942] C. Yi, Y. Zhao, J. Yang, J. C. Chan, and S. G. Kong, Joint Hyperspectral Superresolution and Unmixing with Interactive Feedback, IEEE Trans. on Geoscience and Remote Sensing, 55(7):3823-3834, Jul. 2017.

 

2016

      [SCI, IF:3.514] J. Yang, Y. Zhao, J. C. Chan, and S. G. Kong, Coupled Sparse Denoising and Unmixing with Low-Rank Constraint for Hyperspectral Image, IEEE Trans. on Geoscience and Remote Sensing, 54(3):1818-1833, Mar. 2016.

      [SCI, IF:0.957] S. G. Kong, D. Jin, S. Li, and H. Kim, Fast Fire Flame Detection in Surveillance Video Using Logistic Regression and Temporal Smoothing, Fire Safety Journal, 79(1):37-43, Jan. 2016.

      [SCI-E, IF:1.182] Y. Zhao, Q. Peng, C. Yi, and S. G. Kong, Multiband Polarization Imaging, Journal of Sensors (Special Issue on Multispectral, Hyperspectral, and Polarimetric Imaging Technology), Vol. 2016, Article ID 5985673, 2016 (10 pages).

      [SCOPUS, IF:1.182] Y. Zhao, J. C. Chan, S. G. Kong, Y. Qiao, C.-C. Wu, and C.-I. Chang, Multispectral, Hyperspectral, and Polarimetric Imaging Technology, Editorial, Journal of Sensors, Vol. 2016, Article ID 5634542, 2016 (2 pages).

 

2015

      [KCI, IF:0.35] S. G. Kong, 얼굴영상과 예측한 적외선 텍스처의 융합에 의한 얼굴인식, 한국 지능시스템학회 논문지, 25(5), Oct. 2015.

      [SCI, IF:3.625] S. G. Kong and R. Oyini Mbouna, Head Pose Estimation From a 2D Face Image Using 3D Face Morphing with Depth Parameters, IEEE Trans. on Image Processing, 24(6):1801-1808, Jun. 2015.

 

2014

      [SCI, IF:2.307] J. Lee, S. G. Kong, T. Y. Kang, and B. Kim, Invisible Ink Mark Detection in the Visible Spectrum using Absorption Difference, Forensic Science International, 236:77-83, Mar. 2014.

      [SCI-E, IF:1.266] M. G. Chun and S. G. Kong, Focusing in Thermal Imagery using Morphological Gradient Operator, Pattern Recognition Letters, 38(4):20-25, Mar. 2014.

      [SCI, IF:3.199] G. Na, K. Shim, G. Moon, S. G. Kong, E. Kim, and J. Lee, Frame-based Recovery of Corrupted Video Files using Video Codec Specifications, IEEE Trans. on Image Processing, 23(2):517-526, Feb. 2014.

      [SCI, IF:2.307] K. Y. Lee, J. Lee, S. G. Kong, and B. Kim, Sequence Discrimination of Heterogeneous Crossing of Seal Impression and Ink-printed Text using Adhesive Tapes, Forensic Science International, 234:120-125, Jan. 2014.

 

2013

      [SCI-E, IF:0.814] Y. Zhao, X. Wu, S. G. Kong, and L. Zhang, Joint Segmentation and Pairing of Multispectral Chromosome Images, Pattern Analysis and Applications, 16(4):497-506, Nov. 2013.

      [SCI, IF:3.064] R. Oyini Mbouna, S. G. Kong, and M. G. Chun, Visual Analysis of Eye State and Head Pose for Driver Alertness Monitoring, IEEE Trans. on Intelligent Transportation Systems, 14(3):1462-1469, Sep. 2013.

      [SCI-E, IF:0.814] Y. Zhao and S. G. Kong, Automated Classification of Touching or Overlapping M-FISH Chromosomes by Region Fusion and Homolog Pairing, Pattern Analysis and Applications, 16(1):31-39, Feb. 2013.

      [SCOPUS, IPP:0.147] O. K. Kwon and S. G. Kong, Sharpness-enhancing Enlargement of Terahertz Images, IEEJ Trans. on Electronics, Information and Systems, 133(4):908-909, 2013.

 

2012

      [SCI, IF:1.244] J. Lee, S. G. Kong, Y. Lee, J. Kim, and N. Jung, Detection of Transcribed Seal Impressions using 3-D Pressure Traces, Journal of Forensic Sciences, 57(6):1531-1536, Nov. 2012.

      R. Oyini Mbouna and S. G. Kong, Pupil Center Detection with a Single Webcam for Gaze Tracking, Journal of Measurement Science and Instrumentation, 3(2):133-136, Jun. 2012.

      [SCI, IF:1.853] Z. Du, Y. Jeong, M. K. Jeong, and S. G. Kong, Multidimensional Local Spatial Autocorrelation Measure for Integrating Spatial and Spectral Information in Hyperspectral Image Band Selection, Applied Intelligence, 36(3):542-552, Apr. 2012.

      [SCI, IF:2.307] J. Lee, S. G. Kong, Y. Lee, K. Moon, O. Jeon, J. H. Han, B. Lee, and J. Seo, Forged Seal Detection based on Seal Overlay Metric, Forensic Science International, 214(1):200-206, Jan. 2012.

 

2011

      [SCI, IF:3.467] Y. Zhao, L. Zhang, and S. G. Kong, Band Subset Based Clustering and Fusion for Hyperspectral Imagery Classification, IEEE Trans. on Geoscience and Remote Sensing, 49(2):747-756, Feb. 2011.

      [SCI-E, IF:1.266] C. Ryu, S. G. Kong, and H. Kim, Enhancement of Feature Extraction for Low-Quality Fingerprint Images using Stochastic Resonance, Pattern Recognition Letters, 32(2):107-113, Jan. 2011.

 

2010

      [SCI-E, IF:0.953] I. S. Kim, H. S. Choi, K. M. Yi, J. Y. Choi, and S. G. Kong, Intelligent Visual Surveillance A Survey, International Journal of Control, Automation, and Systems, 8(5):926-939, Oct. 2010. (Special Issue on Advances in Intelligent Visual Surveillance Systems; Editorial)

      [SCI, IF:1.038] C. Ryu and S. G. Kong, Boosting Terahertz Radiation in THz-TDS using Continuous-Wave Laser, Electronics Letters, 46(5):359-360, Mar. 2010.

      [SCI, IF:1.689] C. Ryu and S. G. Kong, Atmospheric Degradation Correction of Terahertz Beams using Multiscale Signal Restoration, Applied Optics, 49(5):927-935, Feb. 2010.

 

2008

      [SCI, IF:2.21] S. G. Kong and D. H. Wu, Signal Restoration from Atmospheric Degradation in Terahertz Spectroscopy, Journal of Applied Physics, 103(11):113105 (6 pages), Jun. 2008.

 

2007

      [SCI, IF:3.766] W. Jiang and S. G. Kong, Block-based Neural Networks for Personalized ECG Signal Classification, IEEE Trans. on Neural Networks, 18(6):1750-1761, Nov. 2007.

      W. Jiang and S. G. Kong, A Least-Squares Learning for Block-based Neural Networks, Dynamics of Continuous, Discrete and Impulsive Systems, 14(S1):242-247, Aug. 2007.

      [SCI, IF:1.674] Z. Du, M. K. Jeong, and S. G. Kong, Band Selection of Hyperspectral Images for Automatic Detection of Poultry Skin Tumors, IEEE Trans. on Automation Science and Engineering, 4(3):332-339, Jul. 2007.

      [SCI, IF:3.623] S. G. Kong, J. Heo, F. Boughorbel, Y. Zheng, B. R. Abidi, A. Koschan, M. Yi, and M. A. Abidi, Multi-scale Fusion of Visible and Thermal IR Images for Illumination-Invariant Face Recognition, International Journal of Computer Vision, 71(2):215-233, Feb. 2007.

      [SCI, IF:2.919] P. Park, D. J. Choi, and S. G. Kong, Output Feedback Variable Structure Control for Linear Systems with Uncertainties and Disturbances, Automatica, 43(1):72-79, Jan. 2007.

 

2006

      [SCI, IF:0.742] S. G. Kong, M. Martin, and T. Vo-Dinh, Hyper-spectral Fluorescence Imaging for Mouse Skin Tumor Detection, ETRI Journal, 28(6):770-776, Dec. 2006.

 

2005

      [SCI, IF:1.232] S. G. Kong, J. Heo, B. R. Abidi, J. Paik, and M. A. Abidi, Recent Advances in Visual and Infrared Face Recognition - A Review, Computer Vision and Image Understanding, 97(1):103-135, Jan. 2005. (Most Cited Paper Award 2007, 2008)

 

2004

      I. Kim, Y. R. Chen, M. S. Kim, and S. G. Kong, Detection of Skin Tumors on Chicken Carcasses using Hyperspectral Fluorescence Imaging, Transactions of the American Society of Agricultural Engineers, 47(5):1785-1792, 2004. (Honorable Mention Paper Award 2005)

      [SCI, IF:1.689] S. G. Kong, Y. R. Chen, I. Kim, and M. S. Kim, Analysis of Hyperspectral Fluorescence Images for Poultry Skin Tumor Inspection, Applied Optics, 43(4):824-833, Feb. 2004.

 

2002

      J. D. Jang and S. G. Kong, Design of Optimal Digital IIR Filters using the Genetic Algorithm, Journal of Fuzzy Logic and Intelligent Systems, 2(2):115-121, Jun. 2002.

 

2001

      [SCI, IF:3.766] S. W. Moon and S. G. Kong, Block-based Neural Networks, IEEE Trans. on Neural Networks, 12(2):307-317, Mar. 2001.

      [SCI-E, IF:1.506] M. S. Kim and S. G. Kong, Parallel-Structure Fuzzy Systems for Time Series Prediction, International Journal of Fuzzy Systems, 3(1):331-340, Mar. 2001.

      [SCI, IF:3.766] S. G. Kong and B. Kosko, Adaptive Fuzzy Systems for Backing Up a Truck-and-Trailer, IEEE Trans. on Neural Networks, 3(2):211-223, Mar. 1992.

      [SCI, IF:3.766] S. G. Kong and B. Kosko, Differential Competitive Learning for Centroid Estimation and Phoneme Recognition, IEEE Trans. on Neural Networks, 2(1):118-124, Jan. 1991.

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Books

      공성곤, 백종웅, 라즈베리파이 따라하기, 21세기 출판사 (ISBN: 978-89-8468-706-6), 2017.

      Y. Zhao, C. Yi, S. G. Kong, Q. Pan, and Y. Cheng, Multi-band Polarization Imaging and Applications, Springer-Verlag: Berlin Heidelberg (ISBN: 978-3-662-49371-7), 2016.

      S. G. Kong and L. J. Park, Hyperspectral Image Analysis for Skin Tumor Detection, Augmented Vision Perception in Infrared, R. I. Hammoud (Ed.), Springer: London (ISBN:978-1-84800-276-0), 2008.

      M. K. Jeong, S. G. Kong, and O. A. Omitaomu, Data Mining of Multi-Dimensional Functional Data for Manufacturing Fault Diagnosis, Chapter 10, Recent Advances in Data Mining of Enterprise Data, T. W. Liao and E. Triantaphyllou, World Scientific (ISBN:978-981-277-985-4), January 2008.

      S. Huq, B. Abidi, S. G. Kong, A. Koschan, and M. Abidi, A Survey on 3D Modeling of Human Faces for Face Recognition, Chapter 2, 3D Imaging for Safety and Security, A. Koschan, M. Pollefeys, and M. Abidi (Eds.), Springer: Dordrecht, The Netherlands (ISBN:978-1-4020-6181-3), August 2007.

      S. G. Kong and B. Kosko, Comparison of Fuzzy and Neural Truck Backer-Upper Control Systems, Chapter 9, B. Kosko, Neural Networks and Fuzzy Systems, Prentice-Hall: Englewood Cliffs, 1992.

      S. G. Kong and B. Kosko, Fuzzy Image Transform Coding, Chapter 10, B. Kosko, Neural Networks and Fuzzy Systems, Prentice-Hall: Englewood Cliffs, 1992.

      S. G. Kong and B. Kosko, Differential Competitive Learning for Phoneme Recognition, Chapter 1, B. Kosko, Ed., Neural Networks for Signal Processing, Prentice-Hall: Englewood Cliffs, 1992.

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Conference Papers

      N. Li, Y. Zhao, and S. G. Kong, Full-Time Monocular Road Detection Using Zero-Distribution Prior of Angle of Polarization, European Conf. on Computer Vision (ECCV2020), 457-473, Aug. 2020.

      M. Vo and S. G. Kong, 3D Face Reconstruction from a Single 2D Face Image of Arbitrary Pose, US-Korea Conf. on Science, Engineering, and Entrepreneurship, New York, NY, Aug. 2018.

      V. Thanh and S. G. Kong, Head Pose Estimation via Manifold Learning on Global Features Extraction, Int. Symp. on Advanced Intelligent Systems, Daegu, Korea, Oct. 2017.

      J. Baek and S. G. Kong, Convolutional Neural Network Structure Design for Face Recognition on Raspberry Pi, Int. Symp. on Advanced Intelligent Systems, Daegu, Korea, Oct. 2017.

      V. Thanh and S. G. Kong, Depth Estimation of a 3D Face Model from a 2D Face Image, US-Korea Conf. on Science, Engineering, and Entrepreneurship, Washington, DC, Aug. 2017.

      R. Oyini Mbouna, Seong G. Kong, T. Doo, and H. Kim, On-road vehicle detection using the accelerated Hough Forest algorithm, Int. Conf. Electronics, Information, and Communication (ICEIC2016), Da Nang, Vietnam, Jan. 2016.

      S. Roychoudhury and S. G. Kong, Tracking Human in Thermal Infrared Vision, Int. Symp. on Advanced Intelligent Systems (ISIS2015), Mokpo, Nov. 2015.

      Y. Zhao, Q. Peng, J. Xue, and S. G. Kong, Specular Reflection Removal using Local Structural Similarity and Chromacity Consistency, IEEE Int. Conf. on Image Processing (ICIP2015), Quebec City, Canada, Sep. 2015.

      Y. Zhao, W. Liu, S. G. Kong, Y. Liu, and Q. Pan, Design and Performance Analysis of Infrared Micro-Polarizer Array, 34th Chinese Control Conference (CCC2015), Hangzhou, China, Jul. 2015.

      L. Wu, X. Du, L. Wang, X. Fu, R. Oyini Mbouna, and S. G. Kong, Analyzing Mobile Phone Vulnerabilities Caused by Camera, IEEE Global Communications Conference (GLOBECOM2014), 4126-4130, Austin, TX, Dec. 2014.

      D. Lee, B. Ahn, D. Lee, D. Choi, and S. G. Kong, Development of Elementary Social Skills of an Android for Sociable Human-Robot Interaction, US-Korea Conf. on Science, Engineering, and Entrepreneurship, San Francisco, CA, Aug. 2014.

      M. G. Chun, N. Y. Shin, and S. G. Kong, Wavelet Based Focus Measures for Thermal Face Images, US-Korea Conf. on Science, Engineering, and Entrepreneurship, New York, NY, Aug. 2013.

      S. Lu, J. Picone, and S. G. Kong, Fingerspelling Alphabet Recognition using a Two-level Hidden Markov Model, Int. Conf. on Image Processing, Computer Vision, and Pattern Recognition, Las Vegas, NV, Jul. 2013.

      M. G. Chun, Y. N. Shin, and S. G. Kong, Biometrics with Hardware Security Module for User Authentication, US-Korea Conf. on Science, Engineering, and Entrepreneurship, Anaheim, CA, Aug. 2012.

      R. Oyini Mbouna, S. G. Kong, and H. Kim, Head-Pose Estimation for 2D-3D Face Matching, US-Korea Conf. on Science, Engineering, and Entrepreneurship, Anaheim, CA, Aug. 2012.

      A. Brown, S. G. Kong, and S. J. Chen, Bio Heat Transfer Modeling of Facial Temperature Distribution, US-Korea Conf. on Science, Engineering, and Entrepreneurship, Anaheim, CA, Aug. 2012.

      S. Li, S. Lu, S. G. Kong, and C. Miyamoto, Spatial and Temporal Thermal Dose Distribution in Hyperthermia Therapy, World Conference for Medical Physics and Bioengineering, Beijing, China, May 2012.

      S. Roychoudhury and S. G. Kong, Tracking Moving Objects in Thermal Vision - A Kernel-based Approach, US-Korea Conf. on Science, Engineering, and Entrepreneurship, Park City, UT, Aug. 2011.

      R. Oyini Mbouna and S. G. Kong, Pupil Center Detection with a Single Webcam for Gaze Tracking, Int. Conf. on Smart IT Applications, Seoul, Korea, Aug. 2011.

      J. Kim, S. J. Chen, and S. G. Kong, Thermal Imaging and Heat Transfer Modeling of a Human Face at Rest and after Exercise, ASME Int. Mechanical Engineering Congress and Exposition (IMECE09), Lake Buena Vista, FL, Nov. 2009.

      C. Ryu, S. G. Kong, and H. Kim, Blind Spot Coverage for Perimeter Surveillance, Symposium on Advances in Homeland Security and Personal Safety, Raleigh, NC, Jul. 2009.

      C. Xu, I. Kim, and S. G. Kong, Feature level fusion for hyperspectral images, Proceedings of SPIE, Vol. 7315, 2009.

      A. Khan, I. Kim, and S. G. Kong, Dimensionality reduction of hyperspectral images using kernel ICA, Proceedings of SPIE, Vol. 7315, 2009.

      S. G. Kong, Multispectral Imaging and Fusion for Robust Face Recognition, US-Korea Conf. on Science, Technology, and Entrepreneurship (UKC2008), San Diego, CA, Aug. 2008.

      J. H. Lee, C. H. Won and S. G. Kong, Estimation of Operative Line of Resection using Preoperative Image and Nonrigid Registration, Int. Conf. on Engineering in Medicine and Biology Society, Vancouver, Canada, Aug. 2008.

      H. Chang, S. G. Kong, A. Koschan, C. H. Won, and M. Abidi, Multispectral Visible and Infrared Imaging for Face Recognition, Int. Conf. on Computer Vision and Pattern Recognition (CVPR2008), Anchorage, AK, Jun. 2008. (Invited Paper)

      D. Ahn, S. G. Kong, Y. Chung, and K. Y. Moon, Matching with Secure Fingerprint Templates using Non-invertible Transforms, Int. Congress on Image and Signal Processing (CISP2008), Sanya, China, May 2008.

      D. H. Wu and S. G. Kong, Signal Restoration from Atmospheric Degradation in Terahertz Spectroscopy, The American Physical Society Meeting, New Orleans, LA, Mar. 2008.

      S. Moon and S. G. Kong, Adaptive Fusion of Visible and Thermal Images based on Multiscale Analysis for Face Recognition, IEEE Int. Conf. on Computational Intelligence for Homeland Security and Personal Safety (CIHSPS2006), Alexandria, VA, Oct. 2006.

      S. G. Kong and D. H. Wu, Terahertz Time-Domain Spectroscopy for Explosive Trace Detection, IEEE Int. Conf. on Computational Intelligence for Homeland Security and Personal Safety (CIHSPS2006), Alexandria, VA, Oct. 2006.

      O. Kwon and S. G. Kong, Multimodality Image Registration using Combined Mutual Information of Intensity and Gradient, World Congress on Medical Physics and Biomedical Engineering, Seoul, Korea, Aug. 2006.

      Z. Du, S. G. Kong, M. Martin, and T. Vo-Dinh, Hyperspectral Fluorescence Signature Analysis for Skin Cancer Detection, World Congress on Medical Physics and Biomedical Engineering, Seoul, Korea, Aug. 2006.

      W. Jiang and S. G. Kong, and G. D. Peterson, Continuous Heartbeat Monitoring using Evolvable Block-based Neural Networks, Int. Joint Conf. on Neural Networks, Vancouver, Canada, Jul. 2006.

      S. Merchant, G. D. Peterson, S. Park, and S. G. Kong, FPGA Implementation of Evolvable Block-based Neural Networks, Congress on Evolutionary Computation, Vancouver, Canada, Jul. 2006.

      S. Moon and S. G. Kong, Residual Stress Pattern Classification for Silicon Wafer Inspection, Maintenance and Reliability Conference, Knoxville, TN, May 2006.

      S. Merchant, G. Peterson, and S. G. Kong, Extrinsic Embedded Hardware Evolution of Block-based Neural Networks, Int. Conf. on Engineering of Reconfigurable Systems and Algorithms, Las Vegas, NV, Jun. 2006.

      W. Jiang and S. G. Kong, Evolvable Block-based Neural Networks for Heart Monitoring, US-Korea Conf. on Science and Engineering, Irvine, CA, Aug. 2005.

      W. Jiang, S. G. Kong, and G. Peterson, ECG Signal Classification using Block-based Neural Networks, Int. Joint Conf. on Neural Networks, Montreal, Canada, Jul. 2005.

      D. W. Lee, S. G. Kong, and K. B. Sim, Evolvable Neural Networks based on Developmental Models for Mobile Robot Navigation, Int. Joint Conf. on Neural Networks, Montreal, Canada, Aug. 2005.

      S. G. Kong, Evolvable and Emergent Neural Systems, Int. Conf. on Control, Automation and Systems (ICCAS2005), Seoul, Korea, June 2005 (Invited Paper).

      D. W. Lee, S. G. Kong, and K. B. Sim, Evolvable Neural Networks for Time Series Prediction with Adaptive Learning Interval, Int. Conf. on Control, Automation and Systems (ICCAS2005), Seoul, Korea, June 2005.

      S. G. Kong, One-Class Pattern Classifiers for Machinery Fault Monitoring, Maintenance and Reliability Conference (MARCON), Knoxville, TN, May 2005.

      O. Kwon and S. G. Kong, Multiscale Fusion of Visual and Thermal Images for Robust Face Recognition, IEEE Int. Conf. on Computational Intelligence for Homeland Security and Personal Safety (CIHSPS2005), Orlando, FL, Mar. 2005.

      S. G. Kong, Z. Du, M. Martin, and T. Vo-Dinh, Hyperspectral Fluorescence Image Analysis for Use in Medical Analysis, SPIE Conf. on Biomedical Optics, San Jose, CA, Jan. 2005.

      G. D. Peterson, S. Kothandaraman, and S. G. Kong, A Reconfigurable Computing Library for Block-based Neural Networks, Int. Conf. on Computing, Communications, and Control Technologies (CCCT2004), Austin, TX, Aug. 2004.

      J. Heo, S. G. Kong, B. R. Abidi, and M. A. Abidi, Fusion of visual and thermal signatures with eyeglass removal for robust face recognition, Workshop on Object Tracking and Classification Beyond the Visible Spectrum (OTCBVS2004), Washington, DC, Jul. 2004. (Best Paper Award)

      S. G. Kong, Time Series Prediction with Evolvable Block-based Neural Networks, Int. Joint Conf. Neural Networks (IJCNN2004), Budapest, Hungary, Jul. 2004.

      J. Heo, B. R. Abidi, S. G. Kong, and M. A. Abidi, Performance Comparison of Visual and Thermal Signatures for Face Recognition, Biometric Consortium Conference (BC2003), Arlington, VA, Sep. 2003.

      S. G. Kong, Cutting edge applications of hyperspectral image processing, US-Korea Conf. on Science, Technology, and Entrepreneurship, Pasadena, CA, Aug. 2003.

      J. T. Fletcher and S. G. Kong, Principal Component Analysis for Poultry Tumor Inspection using Hyperspectral Fluorescence Imaging, Int. Joint Conf. on Neural Networks (IJCNN2003), Portland, OR, Jul. 2003.

      S. G. Kong, Inspection of Poultry Skin Tumor using Hyperspectral Fluorescence Imaging, 6th Int. Conf. on Quality Control by Artificial Vision (QCAV2003), Gatlinburg, TN, May 2003.

      S. W. Moon and S. G. Kong, Pattern Recognition with Block-based Neural Networks, Int. Joint Conf. on Neural Networks (IJCNN2002), Honolulu, HI, May 2002.

      S. G. Kong, Classification of Interframe Difference Image Blocks for Video Compression, in Applications of Artificial Neural Networks in Image Processing VII, Nasser M. Nasrabadi and Aggelos K. Katsaggelos, ed., Proceedings of SPIE Vol. 4668, 29-37, San Jose, CA, Jan. 2002.

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