top of page

AWARDS:

  1. World’s Top 2% of Scientists list of Stanford University (2024): National rank: 18,508, World rank: 45,665

  2. The Excellence in Research at the Senior Level (EIR-SL), 2022 Statler College of Engineering and Mineral Resources, WVU, 2022.

  3. Best Student Paper Award: David Keaton, Amol S. Joshi, Jeremy Dawson, Nasser M. Nasrabadi, “Fingerphoto Deblurring Using Wavelet Style Transfer,” IEEE International Joint Conference on Biometrics (IJCB’24), Sept. 15-18, 2024, Buffalo, NY.

  4. Best Paper Award: Shoaib Meraj Sami, Nasser M. Nasrabadi, and Raghuveer Rao, “Deep Transductive Transfer Learning for Automatic Target recognition,” in SPIE Defense & Commercial Sensing, Conference 12521, Automatic target recognition XXXIII, May 1-4, 2023, Orlando, Florida.

  5. Best Overall Conference Paper: Kelsey O'Haire, Sobhan Soleymani, Samuel Price, Nasser M Nasrabadi, “Juvenile Morph Dataset: A Study of Attack Detectability and Recognition Vulnerability,” 2022 IEEE International Symposium on Technologies for Homeland Security (HST22), Nov. 14-15, 2022. (Virtual Conference)

  6. Best Student Paper Award: F. Taherkhani, V. Talreja, J. Dawson, M. Valenti, N. M. Nasrabadi, “PF-CpGAN: profile to frontal coupled GAN for face recognition in the wild,” IEEE International Joint Conference on Biometrics (IJCB’20), Sept. 28- 1 Oct. 2020, Houston, Taxes.

  7. Best Paper Award: S. N. Ferdous, M. Mostofa, U. Osahor, N. M. Nasrabadi “Target classification in infrared imagery by cross-spectral synthesis using GAN,” SPIE Symposium, Automatic Target Recognition XXX, Proc. SPIE. 11394, Anaheim CA, 27 April - 1 May 2020.

  8. The Outstanding Researcher of the Year (ORY), 2019 Statler College of Engineering and Mineral Resources, WVU, 2019

  9. The Excellence in research at the Senior Level (EIR-SL), 2019 Statler College of Engineering and Mineral Resources, WVU, 2019.

  10. Best Poster Paper Award: S. Soleymani, A. Dabouei, J. Dawson, N. M. Nasrabadi, “Defending Against Adversarial Iris Examples Using Wavelet Decomposition,” The Tenth IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2019), Sept. 23, 2019, Tampa, FL.

  11. Best Student Paper Award: A. Dabouei, S. Soleymani, H. Kazemi, SM Iranmanesh, Jeremy Dawson, Nasser M. Nasrabadi, “ID Preserving Generative Adversarial Network for Partial Latent Fingerprint Reconstruction,” 9th IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2018).

  12. Best Poster Paper Award: S. M. Iranmanesh, H. Kazemi, S. Soleymani, A. Dabouei, N. M. Nasrabadi, “Deep Sketch-Photo Face Recognition Assisted by Facial Attributes,” 9th IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2018). 

  13. Highest Impact Paper Award 2018, from IEEE Trans. on Geoscience and Remote Sensing Society, July 2018 for the paper Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “Hyperspectral image classification Via Kernel Sparse,” IEEE Trans. On Geoscience and Remote Sensing, vol. 51 no.1, pp.431-440, Jan. 2013. (https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8573996)

  14. Best Paper Award Grand Challenge: B. S. Riggan, N. J. Short, M. S. Sarfraz, S. Hu, H. Zhang, V. M. Patel, S. Rasnayaka, J. Li, T. Sim, S. M Iranmanesh, N. M Nasrabadi, “ICME grand challenge results on heterogeneous face recognition: polarimetric thermal-to-visible matching,” IEEE International Conference on Multimedia and Expo (ICME), San Diego, CA, 2018. (2nd Place Grand Challenges)

  15. Best Workshop Paper: F. Taherkhani, N. M Nasrabadi, Jeremy Dawson, “A Deep Face Identification Network Enhanced by Facial Attributes Prediction,” IEEE CVPRW Salt Lake City, UT, June 18, 2018.

  16. Best Paper Award: H. Kazemi, S. M. Iranmanesh, A. Dabouei, S. Soleymani, N. M. Nasrabadi, “Facial Attributes Guided Deep Sketch-to-Photo Synthesis,” IEEE Winter Conf. on Applications of Computer Vision (WACVW’18), Workshop on Cross-Domain Biometric Recognition, Lake Tahoe, NV, 12-15 March 2018.

  17. Best Student Paper Award: A. Dabouei, H. Kazemi, S.M. Iranmanesh, J. Dawson, N.M. Nasrabadi, “Fingerprint Distortion Rectification using Deep Convolutional Neural Networks,” the 11th IAPR International Conferences on Biometrics (ICB'18), February 20-23, 2018, Gold Coast, Australia.  

 

PATENTS:

  1. Nasser M. Nasrabadi, Jeremy M. Dawson, Amol S. Joshi, and Ali Dabouei, “Fingerphoto Deblurring Using Deep Learning GAN Architectures,” Patent Application No.: 18/112,701; Filing Date: February 22, 2023, WVU Ref. No.: 2022-015; T|H Ref. No.: 052324-1780 (Pending)

  2. N. M. Nasrabadi, J. Dawson and A. Dabouei, “Cross Matching Contactless Fingerprint Against Contact-based Fingerprints,” patent application filed on 05/23/2019. (Pending)

  3. N. M. Nasrabadi, J. Dawson and A. Dabouei, “Fingerprint Distortion Rectification & Restoration Using Deep Convolutional Neural Networks” Patent granted on 2024/4/30, Patent No: 11972630, US Patent Application: 17616040.

​

JOURNAL PUBLICATIONS:

  1. Md Mahedi Hassan, Shoaib M. Sami, Jeremy Dawson, Nasser M. Nasrabadi, “Improving Face Recognition from Caption Supervision with Multi-Granular Contextual Feature Aggregation,” IEEE Transactions on Biometrics, Behavior, and Identity Science, Sept. 2024.

  2. Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Michael S. F. Kirk, Daniel da Silva, "Neural-based Video Compression on Solar Dynamics Observatory Images," in IEEE Transactions on Aerospace and Electronic Systems, Vol. 60, issue 4, July 2024, doi: 10.1109/TAES.2024.3409524.

  3. Niloufar Alipour Talemi, Hossein Kashiani, Nasser M Nasrabadi, "CATFace: Cross-Attribute-Guided Transformer with Self-Attention Distillation for Low-Quality Face Recognition," IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 6, no. 1, pp. 132-146, Jan. 2024, Doi: 10.1109/TBIOM.2023.3349218.

  4. Shoaib M. Sami, Md Mahedi Hasan, Nasser M. Nasrabadi and Rahguveer Rao, "Contrastive Learning and Cycle Consistency-Based Transductive Transfer Learning for Target Annotation," in IEEE Transactions on Aerospace and Electronic Systems, vol. 60, Issue 2, pp. 1628-1646, April 2024. DOI: 10.1109/TAES.2023.3337768.

  5. Ali Zafari, Atefeh Khoshkhahtinat, Jeremy A. Grajeda, Piyush M. Mehta, Nasser M. Nasrabadi, Laura E. Boucheron, Barbara J. Thompson, Michael S. F. Kirk, Daniel da Silva, "Neural-based Compression Scheme for Solar Image Data," in IEEE Transactions on Aerospace and Electronic Systems, vol. 60, Issue 1, pp. 918-933, Feb. 2024. DOI: 10.1109/TAES.2023.3332056, Print ISSN:0018-9251, Online ISSN: 1557-9603.

  6. Domenick Poster, Shuowen Hu, Nasser M. Nasrabadi," Long-Range Thermal Target Detection in Data-Limited Settings Using Restricted Receptive Fields,” Sensors, Vol. 23, Issue 18, Sept. 11, 2023. MDPI, https://doi.org/10.3390/s23187806

  7. Amol S Joshi, Ali Dabouei, Jeremy Dawson, Nasser M Nasrabadi,"Fingerphoto Deblurring Using Attention-guided Multi-stage GAN," in IEEE Access, 10.1109/ACCESS.2023.3301467.

  8. Md Mahedi Hasan, Nasser M. Nasrabadi, Jeremy Dawson, "On Improving Interoperability for Cross-Domain Multi-Finger Fingerprint Matching Using Coupled Adversarial Learning," in IET Biometrics, August 2023. (manuscript #: BMT-2023-03-0024.R1)

  9. Poorya Aghdaie, Sobhan Soleymani, Nasser M. Nasrabadi and Jeremy Dawson, "Attention Augmented Face Morph Detection," in IEEE Access, vol. 11, pp. 24281-24298, 2023, doi: 10.1109/ACCESS.2023.3254539.

  10. Sahar R. Malakshan, Mohammad S. E. Saadabadi, Moktari Mostofa, Sobhan Soleymani and Nasser M. Nasrabadi, "Joint Super-Resolution and Head Pose Estimation for Extreme Low-Resolution Faces," in IEEE Access, vol. 11, pp. 11238-11253, 2023, doi: 10.1109/ACCESS.2023.3241606.

  11. Uche Osahor, Nasser M Nasrabadi, "Text-Guided Sketch-to-Photo Image Synthesis", in IEEE Access, vol. 10, pp. 98278-98289, 2022, doi: 10.1109/ACCESS.2022.3206771, Oct., 15, 2022.

  12. Shoaib Meraj Sami, John McCauley, Sobhan Soleymani, Nasser Nasrabadi, Jeremy Dawson, "Benchmarking Human Face Similarity Using Identical Twins," IET Biometrics, pp.1-17, Aug. 5, 2022. http://doi.org/10.1049/bme2.12090.

  13. Fariborz Taherkhani, Veeru Talreja, Jeremy Dawson, Matthew C. Valenti, Nasser M. Nasrabadi, "Profile to Frontal Face Recognition in the Wild Using Coupled Conditional Generative Adversarial Network," IET Biometrics, pp.1-17, August 10, 2022. http://doi.org/10.1049/bme2.12069.

  14. Sobhan Soleymani, Ali Dabouei, Fariborz Taherkhani, Seyed-Mehdi Iranmanesh, Jeremy Dawson and Nasser M. Nasrabadi, "Quality-Aware Multimodal Biometric Recognition," in IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 4, no. 1, pp. 97-116, Jan. 2022.

  15. Paria Jeihouni, Omid Dehzangi, Annahita Amireskandari, Ali Rezai, Nasser M. Nasrabadi, “MultiSDGAN: Translation of OCT Images to Superresolved Segmentation Labels Using Multi-Discriminators in Multi-Stages,” IEEE Journal of Biomedical and Health Informatics, Vol. 26, No. 4, April 2022.

  16. Sertac Arisoy, Nasser M. Nasrabadi, and Koray Kayabol “Unsupervised Pixel-wise Hyperspectral Anomaly Detection via Autoencoding Adversarial Networks,” IEEE Geoscience and Remote Sensing Letters, vol. 19, no. 0, pp 1-5, January 20, 2022. doi: 10.1109/LGRS.2021.3049711

  17. Moktari Mostofa, Salman Mohamadi, Jeremy Dawson, Nasser M. Nasrabadi, “Deep GAN-Based Cross-Spectral Cross-Resolution Iris Recognition,” IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 3, no. 4, pp. 443-463, October 01, 2021.

  18. Domenick D. Poster, Shuowen Hu, Nathan J. Short, Benjamin S. Riggan, and Nasser M. Nasrabadi, “Visible-to-Thermal Transfer Learning for Facial Landmark Detection,” IEEE Access, vol. 8, issue 1, pp. 82306-82319, Dec. 2021.

  19. Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi, “HGAN: Hybrid Generative Adversarial Network,” Journal of Intelligent & Fuzzy Systems, Vol. 41-1, Feb. 2021.

  20. Veeru Talreja, Matthew Valenti, and Nasser Nasrabadi, “Deep Hashing for Secure Multimodal Biometrics,” IEEE Transactions on Information Forensics and Security, vol. 16, pp. 1306-1321, Oct. 22, 2021. 10.1109/TIFS.2020.3033189

  21. Moktari Mostofa, Syeda Nyma Ferdous, Benjamin S. Riggan, and Nasser M. Nasrabadi, “Joint-SRVDNet: Joint Super Resolution and Vehicle Detection Network,” IEEE Access, vol. 8, issue 1, pp. 82306-82319, Dec. 2020.

  22. Fariborz Taherkhani, Veeru Talreja, Matthew Valenti, and Nasser M. Nasrabadi, “Error Corrected Margin-Based Deep Cross-Modal Hashing for Facial Image Retrieval,” IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 2, no. 3, July 2020.

  23. Seyed Mehdi Iranmanesh, Benjamin Riggan, Shuowen Hu, Nasser M. Nasrabadi, “Coupled Generative Adversarial Network for Heterogeneous Face Recognition,” Image and Vision Computing, vol. 94, February 2020.

  24. Ali Takbiri-Borujeni, Hadi Kazemi, Nasser Nasrabadi, “A Data-driven Surrogate to Image-based Flow Simulations in Porous Media,” Computers & Fluids, Volume 201, 15 April 2020, 104475, https://doi.org/10.1016/j.compfluid.2020.104475.

  25. Xiaoxia Sun, Nasser M. Nasrabadi and Trac D. Tran, "Supervised Deep Sparse Coding Networks for Image Classification," IEEE Trans. on Image Processing, vol. 29, no. 7, pp. 405-418, July 17, 2020. DOI: 10.1109/TIP.2019.2928121

  26. Nasser M. Nasrabadi, “Deep Target: An Automatic Target Recognition Using Deep Convolutional Neural Networks,” IEEE Transactions on Aerospace and Electronic Systems, vol. 55, no. 6, pp. 2687-2697, Dec. 2019. DOI: 10.1109/TAES.2019.2894050

  27. Zhangming Ding, Nasser M. Nasrabadi, Yun Fu, “Semi-supervised Task-driven Deep Transfer Learning via Coupled Neural Networks,” IEEE Transaction on Image Processing, vol. 27, issue 11, pp. 5214-5224, June 2018.

  28. Tianpei Xie, Nasser M. Nasrabadi, Alfred O. Hero III, “Learning to Classify with Possible Sensor Failures,” IEEE Transactions on Signal Processing, vol. 65, no.4, pp. 836-849, 2017.

  29. Amirsina Torfi, Seyed-Mehdi Iranmanesh, Nasser M. Nasrabadi, Jeremy Dawson, “3D Convolutional Neural Networks for Cross Audio-Visual Matching Recognition,” IEEE Access, vol. 5, pp. 22081-22091, 2017.

  30. Minh Dao, Nam Nguyen, Nasser M. Nasrabadi, Trac D. Tran, “Multi-Sensor Classification via Joint Sparse Representation for Discriminating Between Human and Animal Footsteps,” IEEE Transactions on Signal Processing, vol. 64, no. 9, pp. 2400-2415, May 2016.

  31. Soheil Bahrampour, Nasser M. Nasrabadi, Asok Ray, Kenneth W. Jenkins, “Multimodal Task-Driven Dictionary Learning,” IEEE Transactions on Image Processing, vol. 25, no. 1, pp. 24-38 Jan. 2016.

  32. Benjamin S. Riggan, Christopher Reale, Nasser M. Nasrabadi, “Coupled Auto-Associative Neural Networks for Heterogeneous Face Recognition,” IEEE Access, vol. 3, pp. 1620-1632, Oct. 2015.

  33. Qing Qu, Nasser M. Nasrabadi, Trac D. Tran, “Subspace Vertex Pursuit: A Fast and Robust Near-Separable Nonnegative Matrix Factorization Method for Hyperspectral Unmixing,” IEEE Journal of Selected Topics in Signal Processing, vol. 9, no. 6, pp. 1142-1155, Sept. 2015.

  34. Xiaoxia Sun, Qing Qu, Nasser M. Nasrabadi, Trac D. Tran, “Task-driven Dictionary Learning for Hyperspectral Image Classification with Structured Sparsity Priors,” IEEE Trans. On Geoscience and Remote Sensing, vol. 53, no. 8, pp. 4457-4471, August 2015.

  35. Zhangyang Wang, Nasser M. Nasrabadi, Thomas S. Huang, “Semi-supervised Hyperspectral Classification Using Task-driven Dictionary Learning with Laplacian Regularization,” IEEE Transactions on Geoscience and Remote Sensing, vol.53, no.3, pp. 1161-1173, March 2015.

  36. Umamahesh Srinivas, Nasser M. Nasrabadi, Vishal Monga, “Graph-based Sensor Fusion for Classification of Transient Acoustic Signals,” IEEE Transactions on Cybernetics, vol.45, no.3, pp. 576-586, March 2015.

  37. Zhaowen Wang, Nasser M. Nasrabadi, Thomas Huang, “Spatial-spectral Classification of Hyperspectral Images using Discriminative Dictionary Designed by Learning Vector Quantization,” IEEE Trans. On Geoscience and Remote Sensing, vol. 52, no. 8, pp. 4808-4822, August 2014.

  38. Xiaoxia Sun, Qing Qu, Nasser M. Nasrabadi, Trac D. Tran, “Structured Priors for Sparse Representation Based Hyperspectral Image Classification,” IEEE Geoscience and Remote Sensing Letter, vol.11, no. 7, pp. 1235-1235, July. 2014.

  39. Qing Qu, Nasser M. Nasrabadi, Trac D. Tran, “Abundance Estimation for Bilinear mixture models via joint sparse and low rank representations,” IEEE Trans. On Geoscience and Remote Sensing, vol. 52, no. 7, pp.4404-4422, July 2014.

  40. Nasser M. Nasrabadi, “Hyperspectral Target Detection: An Overview of Current and Future Challenges,” IEEE Signal Processing Magazine, vol.31, no.1, pp. 34-44, Jan. 2014.

  41. Vishal M. Patel, Glenn R. Easley, Nasser M. Nasrabadi, and Rama Chellappa, “Separated Component-Based Restoration of Speckled SAR Images,” IEEE Trans. On Geoscience and Remote Sensing, vol. 52, no. 2, pp. 1019-1029, Feb. 2014.

  42. Sumit Shekhar, Vishal M. Patel, Nasser M. Nasrabadi and Rama Chellappa, "Joint Sparse Representation for Robust Multimodal Biometrics Recognition," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 36, no. 1, pp. 113-126, Jan. 2014.

  43. Hien V. Nguyen, Vishal M. Patel, Nasser M. Nasrabadi, and Rama Chellappa, "Design of Non-linear Kernel Dictionaries for Object Recognition," IEEE Trans. on Image Processing, vol. 22, no. 12, pp. 5123-5135, Dec. 2013.

  44. Soheil Bahrampour, Asok Ray, Soumalya Sarkar, Thyagaraju Damarla, Nasser M. Nasrabadi, “Performance Comparison of Feature Extraction Algorithms for Target Detection and Classification,” Pattern recognition Letters, vol. 34, pp.2126-2134, 2013.

  45. Jos´e M. Bioucas-Dias, Antonio Plaza, Gustavo Camps-Valls, Paul Scheunders, Nasser Nasrabadi, and Jocelyn Chanussot, “Hyperspectral Remote Sensing Data Analysis and Future Challenges,” IEEE Geoscience and Remote Sensing Magazine, vol. 1, no. 2, pp. 6-36, 26 June 2013.

  46. Umamahesh Srinivas, Yi Chen, Vishal Monga, Nasser M. Nasrabadi, Trac D. Tran, “Exploiting Sparsity in Hyperspectral Image Classification via Graphical Models,” IEEE Geoscience and Remote Sensing Letters, vol.10, no.3, pp. 505-509, May 2013.

  47. Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “Hyperspectral Image Classification Via Kernel Sparse,” IEEE Trans. On Geoscience and Remote Sensing, vol.51 no.1, pp.431-440, Jan. 2013.

  48. Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang “Multi-Metric Learning for Multi-Sensor Fusion Based Classification,” Information Fusion, vol.14 no.4, pp.431-440, Oct. 2013.

  49. Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang, “Joint Dynamic Sparse Representation for Multi-view Face Recognition,” Pattern Recognition, vol.45 no.4, pp. 1290-1298, April 2012.

  50. Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang, “Multi-View Automatic Target Recognition Using Joint Sparse Representation,” IEEE Trans. On Aerospace and Electronic Systems, vol.48, no. 3, pp. 2481 – 2497, July 2012.  

  51. Haichao Zhang, Nasser M. Nasrabadi, Thomas S. Huang, Yanning Zhang, “Joint Structured Sparsity Acoustic Signal Classification,” IEEE Trans. On Systems, Man and Cybernetics, Part B, vol.42, no. 6, pp.1586-1598, Dec. 2012.

  52. Yi Chen, Nasser M. Nasrabadi, and Trac D. Tran, "Effects of Linear Projections on the Performance of Target Detection and Classification in Hyperspectral Imagery" J. Appl. Remote Sens. 5, 053563 (2011), DOI:10.1117/1.3659894

  53. Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “Hyperspectral Image Classification Using Dictionary-based Sparse Representation”, IEEE Trans. On Geoscience and Remote Sensing, vol.49. no.10, pp. 3973-3985, October 2011.

  54. Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “Sparse Representation for Target Detection in Hyperspectral Images,” IEEE Journal of Selected Topics in Signal Processing, vol. 5, no. 3, pp 629-640, June 2011.

  55. Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “Simultaneous Joint Sparse Model for Target Detection in Hyperspectral Images,” IEEE Geoscience and Remote Sensing Letters, vol.8, No.4, pp. 676-680, July 2011.

  56. Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa, “Sparsity Motivated Automatic Target Recognition,” Applied Optics, vol. 50, no. 11, pp. 1425-1433, April 2011.

  57. Nasser M. Nasrabadi, Asif Mehmood, “Kernel Wavelet-RX: An Anomaly Detection for FLIR Imagery,” Applied Optics, vol. 50, no. 17, pp.2744-2751, June 2011.   

  58. Nasser M. Nasrabadi, Asif Mehmood, “Wavelet-RX Anomaly Detection for Dual-band FLIR Imagery,” Applied Optics, vol. 49 Issue 24, pp.4621-4632, 2010.   

  59. Michael T. Eismann, Alan D. Stocker, and Nasser M. Nasrabadi, “Automated Hyperspectral Cueing for Civilian Search and Rescue,” the Proceedings of the IEEE, vol. 97, no. 6, pp. 1030-1055 June 2009.

  60. Lance Kaplan and Nasser M. Nasrabadi, “Block Wiener-based Image Registration for Moving Target Indication,” in J. of Image and Vision Computing, March 27, pp. 694-703, 2009.

  61. Nasser M. Nasrabadi, “Regularized Spectral Matched Filter for Target Detection in Hyperspectral Imagery,” IEEE Signal Processing Letters, vol. 15, pp.317-320, 2008.

  62. Heesung Kwon, Nasser M. Nasrabadi and Patti Gillespie, "Nonlinear Chemical Plume Detection Using Kernel-based Matched Subspace Detectors," Int. J. of High Speed and Systems, vol. 17, no. 4, pp. 813-826, Dec. 2007.

  63. Hirsh Goldberg, Heesung Kwon and Nasser M. Nasrabadi, “Kernel Eigen­space Separation Transform,” IEEE Trans. On Geoscience and Remote Sensing Letters, vol. 4. no. 4, pp. 581-585, Oct. 2007.

  64. Heesung Kwon, and Nasser M. Nasrabadi, "A Comparative Analysis of Kernel Subspace Target Detectors for Hyperspectral Imagery", EURASIP J. of Applied Signal Processing, in special issue Advances in Subspace-Based Techniques for Signal Processing and Communications 2007, Article ID 29250, 13 pages, doi:10.1155/2007/29250.

  65. Nasser M. Nasrabadi, Maria Tates, and Heesung Kwon, “Change Detection Methods for Identification of Mines in SAR Imagery,” J. of Applied Remote Sensing, Vol.1, 013525, 7 Aug. 2007.

  66. Maria Tates, Nasser M. Nasrabadi, Heesung Kwon, “Mine Detection in Averaged Multilook SAR Imagery Using Change Detection Methods,” WSEAS Transactions on Signal Processing, Issue 5, vol. 2, pp. 710-718, May 2006

  67. Heesung Kwon, and Nasser M. Nasrabadi, "Kernel Spectral Matched Filter for Hyperspectral Imagery," J. of Computer Vision, Vol. 71, No. 2, pp. 123-253, Feb. 2007.

  68. Heesung Kwon, and Nasser M. Nasrabadi, "Kernel Adaptive Subspace Detector for Hyperspectral Imagery," IEEE Trans. on Geoscience and Remote Sensing Letters, vol. 3, no. 2, pp.271-275, April 2006.

  69. Heesung Kwon, and Nasser M. Nasrabadi, "Kernel Matched Subspace Detectors for Hyperspectral Target Detection," IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 28, no. 2, pp. 178-194, Feb. 2006.

  70. Heesung Kwon, and Nasser M. Nasrabadi, "Kernel Orthogonal Subspace Projection for Hyperspectral Target Classification", the IEEE Geoscience and Remote Sensing, vol. 43, no. 12, pp. 2952-2962, Dec. 2005.   

  71. Heesung Kwon, and Nasser M. Nasrabadi, "Kernel RX-Algorithm: A Nonlinear Anomaly Detector for Hyperspectral Imagery", IEEE Transactions on Geoscience and Remote Sensing, vol. 43, no.  2, pp. 388-397, Feb. 2005.

  72. Lipchen A. Chan, Sandor Z. Der, and Nasser M. Nasrabadi, "A Joint Compression-Discrimination Neural Transformation applied to Target Detection," IEEE Trans. on Man and Cybernetics, vol.35, no.4, pp. 670681, August 2005.

  73. Sayed A. Rizvi, and N. M. Nasrabadi, "Fusion of FLIR Automatic Target Recognition Algorithms," Journal of Information Fusion, vol. 4, pp. 35-45, Sept. 2004.

  74. Susan Young, Sandor Z. Der, and Nasser M. Nasrabadi, "Adaptive Target Detection in Forward-Looking Infrared Imagery Using the Eigenspace Separation Transform and Principal Component Analysis", Optical Engineering, vol. 43, no. 8, pp. 1767-1776, August 2004.

  75. Sandor Der, Lipchen A. Chan, Nasser Nasrabadi, and Heesung Kwon, "Automated Vehicle Detection in Forward-Looking Infrared Imagery", Applied Optics, vol. 43, No. 2, pp. 333-348, Jan. 2004.

  76. Heesung Kwon, Sandor Z. Der, and Nasser M. Nasrabadi, "Adaptive Anomaly Detection Using Subspace Separation for Hyperspectral Imagery", Optical Engineering, vol. 42, no. 11, pp. 3342-3351, Nov. 2003.

  77. Lipchen A. Chan, Sandor Z. Der, and Nasser M. Nasrabadi, "Multi-Stage Infrared Target Detection", Optical Engineering, vol. 49, No. 9, pp. 2746-2754, Sept. 2003.

  78. Lipchen A. Chan, Sandor Z. Der, and Nasser M. Nasrabadi, "Dualband FLIR FUSION for Automatic Target Recognition", Journal of Information Fusion, no. 4, pp. 35-45, April 2003.

  79. Syed A. Rizvi, and N. M. Nasrabadi, "A Modular Clutter Rejection Technique for FLIR imagery Using Region-Based Principal Component Analysis", Pattern Recognition, vol. 35, pp. 2895-2904, 2002.

  80. Heesung Kwon, Sandor Z. Der, and Nasser M. Nasrabadi, "Adaptive Multisensor Target Detection Using Feature-based Fusion", Optical Eng., vol.41, no.1, pp. 69-80, Jan. 2002.

  81. Li, B., R. Chellappa, Q. Zheng, S. Der, N. M. Nasrabadi, and L. Wang, "Experimental Evaluation of FLIR ATR Approaches-A Comparative Study", Computer Vision and Image Understanding, vol. 84, pp. 5-24, 2001.

  82. Lipchen A. Chan, N. M. Nasrabadi, Don Torrieri, "Eigenspace Transformation for Automatic Clutter Rejection", Optical Eng., Vol. 40, No. 4, pp. 564-573, April 2001.

  83. Syed A. Rizvi, and N. M. Nasrabadi, "Neural Network algorithms for Automatic Target Recognition Using FLIR imagery: A Survey", in the special issue on Image Processing, Vision, and Pattern Recognition in the Proceedings of INSA, PINSA, Vol. 67, A, No.2, pp. 243-276, March 2001.

  84. Syed A. Rizvi, Tarek N. Saadawi, N. M. Nasrabadi, "A Clutter Rejection Technique for FLIR Imagery Using Region Based Principal Component Analysis", Pattern Recognition, vol. 33, pp. 1931-1933, 2000.

  85. Venkatraman, M., H. Kwon, and N. M. Nasrabadi, "Object Based SAR Image Compression Using Vector Quantization", in the IEEE Trans. Aerospace and Electronic Systems, vol. 36, no. 4, Oct. 2000.

  86. Lipchen A. Chan, and N. M. Nasrabadi, "Automatic Target Recognition Using Vector Quantization and Neural Networks", Optical Engineering, vol. 38, no 12, pp. 2147-2161, Dec. 1999.

  87. Syed A. Rizvi, L.-C. Wang, N. M. Nasrabadi, "Rate-Constrained Modular Predictive Residual Vector Quantization of Digital Images", IEEE Signal Processing Letters, vol. 6, no. 6, June 1999.

  88. H. Kwon, M. Venkatraman, and N. M. Nasrabadi, "Multiscale Video Compression Using Adaptive Finite-State Vector Quantization", J. of Electronics Imaging, Vol. 7, No. 4, pp. 725-738, Oct. 1998.

  89. L-C Wang, S. A. Rizvi, and N. M. Nasrabadi, "A Modular Neural Network Vector Predictor Image Coding", IEEE Trans. on Image Processing, vol. 7, no. 8, pp. 1198-1217, August 1998.

  90. Wang, L-C., S. Der, N. M. Nasrabadi, "Modular Neural Network Recognition of Targets in FLIR Imagery", IEEE Trans. on Image Processing, vol.7, no. 8, pp. 1113, 1121, August 1998.

  91. Wang, L-C., S. Der, N. M. Nasrabadi, "Composite Classifiers for Automatic Target Recognition", Optical Engineering, vol. 37, no. 3, March 1998.

  92. Kown, H.-S., M. Venkatraman, N. M. Nasrabadi, "Very Low Bit Rate Video Codec Using Variable Blocksize Entropy-Constrained Residual Vector Quantizers", IEEE Trans. on Selected Areas in Communications, vol. 15, no. 9, pp. 1714-1725, December 1997.

  93. Chan L. A. and N. M. Nasrabadi, "An Application of Wavelet-based Vector Quantization in Target Recognition", Int. Journal on Artificial Intelligence Tools, vol. 6, no. 2, pp. 165-178, Dec. 1997.

  94. Kim J. S., Park S. H., P. W. Dowd, and N. M. Nasrabadi, "Cellular radio channel assignment using a modified Hopfield networks", IEEE Trans. Vehicle Technol., vol. 46, no. 4, pp. 957-967, Nov. 1997.

  95. Rizvi, S. A., L-C Wang, and N. M. Nasrabadi, "Nonlinear Vector Prediction Using Feed-Forward Neural Networks", IEEE Trans. on Image Processing, vol. 6, no. 10, pp. 1431-1436, Oct. 1997.

  96. Rizvi, S. A., N. M. Nasrabadi, "Finite State Residual Vector Quantization Using a Tree-Structured Competitive Neural Network", IEEE Trans. on Circuits and Systems for Video Technology, vol. 7, no. 2, pp. 377-390, April 1997.

  97. Yang, S. S., P. D. Scott, and N. M. Nasrabadi, "Object Recognition Using Multi-Layer Hopfield Neural Network", IEEE Trans. on Image Processing, vol. 6, no. 1, pp. 357-372, March 1997.

  98. Kim, J. S., Park S. H., P. W. Dowd, and N. M. Nasrabadi, "Channel assignment in cellular radio using Genetic Algorithms", Wireless Personal Communications, vol.3, no. 3, pp. 273-286, August 1996.

  99. Rizvi, S. A., L-C Wang, and Nasser M. Nasrabadi, "Neural Network Architectures for Vector Prediction", The Proceedings of the IEEE (special issue on Applications of Artificial Neural Networks), vol. 84, no. 10, pp. 1513-1528, Oct. 1996.

  100. Seni, G., N. M. Nasrabadi, and R. Srihari, "Large Vocabulary Recognition of On-Line Handwritten Cursive Words", IEEE Trans. on Pattern Recognition and Machine Intelligence, vol. 18, no. 6, pp. 757-762, July 1996.

 

​

bottom of page