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[ 郑 玉 锋 ]

 

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Highlighted News

·        New Textbook Release, “ Multispectral Image Fusion and Colorization ”, SPIE Press, March 2018. (Sample Chpt. 1, Chpt. 13)

 

Introduction

 

Dr. Yufeng Zheng is an associate professor with Dept. of Data Science at the University of Mississippi Medical Center (Jackson , MS). He is a Cisco Certified Network Professional (CCNP) and teaching graduate courses in Data Science and in Deep Learning. His recent research activities include deep learning applications (funded by NSA & USDA), multisensory image fusion and night-vision colorization (funded by DOD ARO), and multispectral face recognition (funded by DHS & DOD ONR). He had led and significantly contributed to other research projects such as Breast cancer detection, Landmine detection, Glaucoma detection, and CT imaging. Before he was a professor in computer networking with Alcorn State University. Dr. Zheng's expertise focus on image processing, deep learning, computer vision, and computer-aided detection/diagnosis. Research collaboration is welcome.

 

(a) Visible image (SC620)

(b) NIR Image (SC6000)

(c) LWIR image (SC620)

 

Research Interests

 

 

 
  • Deep learning / A. I.
  • Bioinspired image analysis
  • Biometrics (face recognition)

 
  • Computer-aided diagnosis
  • Information fusion
  • Computer vision (night vision)

Research Grants

 

Teaching Experience

 

 

 
  • Deep Learning Applications
  • Database Systems
  • Computer Graphics
  • Digital Image Processing
  • Physics for Medical Imaging
  • Networking Fundamentals & Telecommunication
  • Switching and Routing Basics

 
  • WAN Technologies & Advanced Routing
  • Network Security and Management
  • Computation using Matlab
  • Data Structures and Algorithms
  • C# Network Programming
  • Web design & Internet programming using C#
  • C++ Programming

Education & Training

Positions & Employment

Honors

Experience & Service

Journal Publications

  1. Yufeng Zheng, Erik Blasch, Facial Micro-Expression Recognition Enhanced by Score Fusion and a Hybrid Model from Convolutional LSTM and Vision Transformer. Sensors 2023, 23, 5650. https://doi.org/10.3390/s23125650 
  2.  Kerry Kinney, Yufeng Zheng, Matthew Morris, Julie Schumacher, Saurabh Bhardwaj and James Rowlett, “Predicting benzodiazepine prescriptions: A proof-of-concept machine learning approach,” Frontiers in Psychiatry, March 2023, Volume 14 - 2023 | https://doi.org/10.3389/fpsyt.2023.1087879
  3. Asma Baccouche, Begonya Garcia-Zapirain, Yufeng Zheng, Adel S. Elmaghraby, “Early Detection and Classification of Abnormality in Prior Mammograms using Image-to-Image Translation and YOLO techniques,” Computer Methods and Programs in Biomedicine, Elsevier, (Accepted in) May 2022.  
  4. Yufeng Zheng, Jun Huang, Tianwen Chen, Yang Ou, Wu Zhou, “Transfer of learning in the convolutional neural networks on classifying geometric shapes based on local or global invariants”, Frontiers in Computational Neuroscience, 2021.  
  5. Yufeng Zheng, Erik Blasch, “An Exploration of the Impacts of Three Factors in Multimodal Biometric Score Fusion: Score Modality, Recognition Method, and Fusion Process”, Journal of Advances in Information Fusion, Dec. 2014.  
  6. Yufeng Zheng, Wenjie Dong, Erik Blasch, “ Qualitative and quantitative comparisons of multispectral night vision colorization techniques ” (Open Access), Optical Engineering, August 2012.
  7. Yufeng Zheng, "The Key Factor in Multimodal Biometric Score Fusion: Modality, Recognition or Fusion?" (submitted to) , 2012.
  8. Yufeng Zheng, “Orientation-based face recognition using multispectral imagery and score fusion”, Optical Engineering, November 2011.
  9. Yufeng Zheng, “ Breast Cancer Detection with Gabor Features from Digital Mammograms ”, Algorithms 2010, Vol. 3, pp.44-62, 2010.
  10. Fengmei Zou, Yufeng Zheng, Zhengdong Zhou, and Kwabena Agyepong, “Gradient Vector Flow Fields and Spiculated Mass Detection in Digital Mammography Images”, Digital Mammography, Lecture Notes in Computer Science, pp.299-306, Springer Berlin / Heidelberg, Volume 5116 (2008).
  11. Yufeng Zheng and Edward A. Essock, “A local-coloring method for night-vision colorization utilizing image segmentation, segment recognition, histogram matching and image fusion”, Information Fusion, Vol. 9, No. 2, pp.186-199 (2008).
  12. Gunvant, Pinakin; Zheng, Yufeng; Toth, MArta; Hollo, GAbor, Atypical Retardation Pattern: Can Performance of Classification be Improved?, Optometry & Vision Science. 85(6):E482-E488, June 2008.
  13. Pinakin Gunvant, Yufeng Zheng, Edward A. Essock, et. al., “Application of Shape-based Analysis Methods to OCT Retinal Nerve Fiber Layer Data in Glaucoma”, Journal of Glaucoma, 16(6):543-548 (2007).
  14. Edward A. Essock, Pinakin Gunvant, Yufeng Zheng , “Predicting Visual Field Loss In Ocular Hypertensive Patients Using Wavelet-Fourier Analysis Of GDx Scanning Laser Polarimetry”, Optometry and Vision Science, VOL. 84, NO. 5, PP. E380–E386 (2007).
  15. Yufeng Zheng , Edward A. Essock, Bruce C. Hansen and Andrew M. Haun, “A new metric based on extended spatial frequency and its application to DWT based fusion algorithms”, Information Fusion, Vol. 8, No. 2, April 2007.
  16. Edward A. Essock, Yufeng Zheng , Pinakin Gunvant, “Analysis of GDx-VCC Polarimetry Data by Wavelet-Fourier Analysis (WFA) Across Glaucoma Stage”, IOVS, Vol. 46, No. 8, pp.2838-2847, August 2005.
  17. Yufeng Zheng , Edward A. Essock and Bruce C. Hansen, “An advanced DWT fusion algorithm and its optimization by using the metric of image quality index”, Optical Engineering, Vol.44, No.3, Mar 2005.
  18. Pinakin Gunvant, Yufeng Zheng , Edward A. Essock, et. al., “Predicting Subsequent Visual Field Loss in Subjects with Disc Hemorrhage using RNFL Polarimetry”, Journal of Glaucoma, Vol.14, No.1, Jan 2005.
  19. Yufeng Zheng , Mark P. Wachowiak, and Adel S. Elmaghraby, “Resolution improvement and detail enhancement for CT scout images”, Journal of Electronic Imaging, Vol.14, No.1, Jan 2005.
  20. Mark P. Wachowiak, Renata Smolíková, Yufeng Zheng, Jacek M. Zurada, and Adel S. Elmaghraby, “An Approach to Multimodal Biomedical Image Registration Utilizing Particle Swarm Optimization”, IEEE Transactions on Evolutionary Computation, Vol. 8, No. 3, pp.289-301, June 2004.
  21. Bruce C. Hansen, Edward A. Essock, Yufeng Zheng and J. Kevin DeFord, “Perceptual Anisotropies in Visual Processing and Their Relation to Natural Image Statistics”, Network: Computation in Neural Systems, 14 (2003) 501-526, June 2003.
  22. Daoyin Yu, Yufeng Zheng , Wei Yu, and Qingguo Geng, “Study on Echocardiographic Quantitative Analysis”, Chinese Journal of Biomedical Engineering, Vol. 18 No. 3, September 1999.
  23. Daoyin Yu, Qunfeng Zou, Wei Yu and Yufeng Zheng , “Image Connection and Its Application to Medical Ultrasonic Image”, Chinese Journal of Biomedical Engineering, Vol. 17 No. 3, September 1998.
  24. Daoyin Yu and Yufeng Zheng , “Precise Boundary Extraction of Echocardiographic Left-Ventricle Images”, Chinese Journal of Biomedical Engineering, Vol. 15 No. 4, December 1996.
  25. Yufeng Zheng , “Displaying a True Color Bitmap Image on a TVGA Card”, Application of the Computer Systems, December 1996.
  26. Yufeng Zheng and Daoyin Yu, “The Visual Design of Image Processing in DOS Environment”, Microcomputer & Its Applications, September 1996.
  27. Wenyao Liu and Yufeng Zheng , “The Light Scattering Analysis System on Line”, Chinese Journal of Scientific Instrument, Vol. 17 No. 1, Jan. 1996.
  28. Yufeng Zheng , “Implementing Full-screen Animation on a TVGA Card”, PC World China, September 1995.

Conference Papers:

  1.  Yufeng Zheng, Erik Blasch, “Facial micro-expression recognition using deep spatio-temporal neural networks”, Proc. SPIE 12547, SPIE Defense + Commercial Sensing 2023, Orlando, Florida, United States.
  2. Yufeng Zheng, Brian Christman, Matthew Morris, William Hillegass, Yunxi Zhang, Kimberly Douglas, Lei Zhang, “Adolescent Behavioral Risk Analysis and Prediction Using Machine Learning: A Foundation for Precision Suicide Prevention”, Proc. SPIE 12100, SPIE Defense + Commercial Sensing 2022, Orlando, Florida, United States.
  3.  Yufeng Zheng, Lixin Yu, Sardar Haque, Ping Zhang, Adel Elmaghraby, “Improving Cybersecurity through Deep Learning on Keystroke and Mouse Dynamics”, Proc. SPIE 12100, SPIE Defense + Commercial Sensing 2022, Orlando, Florida, United States.
  4.  Yufeng Zheng, Erol Sarigul, Girish Panicker, and Diane Stott, “Vineyard LAI and Canopy Coverage Estimation with Convolutional Neural Network Models and Drone Pictures”, Proc. SPIE 12120, SPIE Defense + Commercial Sensing 2022, Orlando, Florida, United States.
  5.  Yufeng Zheng, Adel S. Elmaghraby, “Cybersecurity Enhancement Using Convolutional Neural Networks and Keystroke Dynamics”, Proc. SPIE 11734, SPIE Defense + Commercial Sensing 2021, Orlando, Florida, United States.
  6.  Yufeng Zheng, Girish Panicker, and Diane Stott, “Predicting Vineyard Canopy Coverage Using Drone Pictures”, Proc. SPIE 11747, SPIE Defense + Commercial Sensing 2021, Orlando, Florida, United States.
  7.  Yufeng Zheng, Hongyu Wang, Yingguang Hao, “Mobile application for monitoring body temperature from facial images using convolutional neural network and support vector machine”, Proc. SPIE 11399, SPIE Defense + Commercial Sensing 2020, Anaheim, California, United States.
  8.  Yufeng Zheng, Clifford Yang, Hongyu Wang, “Enhancing breast cancer detection with recurrent neural network”, Proc. SPIE 11399, SPIE Defense + Commercial Sensing 2020, Anaheim, California, United States.
  9.  Yufeng Zheng, Hongyu Wang, Yingguang Hao, “Comparable study of convolutional neural networks in classification and feature extraction applications”, Proc. SPIE 11395, SPIE Defense + Commercial Sensing 2020, Anaheim, California, United States.
  10. Yufeng Zheng, Erik Blasch, “Night Vision Colorization from Color Mapping to Color Transferring”, 22nd International Conference on Information Fusion, Ottawa, Canada, 2019.
  11. Erik Blasch, Yufeng Zheng, Shuo Liu and Zheng Liu, “Image Fusion for Context-aided Surveillance”, 22nd International Conference on Information Fusion, Ottawa, Canada, 2019.
  12. Yufeng Zheng, Jun Huang, Tianwen Chen, Yang Ou, Wu Zhou, “CNN Classification Comparisons in Distinguishing Global Features from Local Features”, SPIE Defense + Commercial Sensing 2019, Baltimore, United States.
  13. Erik Blasch, Zheng Liu, Yufeng Zheng, et al., “Multisource deep learning for situation awareness”, SPIE Defense + Commercial Sensing 2019, Baltimore, United States.
  14. Yufeng Zheng, Jun Huang, Tianwen Chen, Yang Ou, Wu Zhou, “Processing Global and Local Features in Convolutional Neural Network (CNN) and Primate Visual Systems”, SPIE Defense + Commercial Sensing 2018, Orlando, Florida, United States.
  15. Yufeng Zheng, Clifford Yang, Alex Merkulov, “Breast Cancer Screening Using Convolutional Neural Network and Follow-up Digital Mammography”, SPIE Defense + Commercial Sensing 2018, Orlando, Florida, United States.
  16. Yufeng Zheng, “Fast and accurate face recognition based on image compression”, SPIE Commercial + Scientific Sensing and Imaging 2017, Anaheim, California, United States
  17. Yufeng Zheng, Clifford Yang, Alex Merkulov, Malavika Bandari, “Early Breast Cancer Detection with Digital Mammograms Using Haar-like Features and AdaBoost Algorithm”, Proc. SPIE 9871, SPIE Commercial + Scientific Sensing and Imaging 2016, Baltimore, United States.
  18. Yufeng Zheng, Erik Blasch, “Multispectral image fusion for vehicle identification and threat analysis”, Proc. SPIE 9871, SPIE Commercial + Scientific Sensing and Imaging 2016, Baltimore, United States.
  19. Yufeng Zheng, Genshe Chen, Zhonghai Wang, Erik Blasch, “Image Quality (IQ) Guided Multispectral Image Compression”, Proc. SPIE 9871, SPIE Commercial + Scientific Sensing and Imaging 2016, Baltimore, United States.
  20. Yufeng Zheng, Erik Blasch, “Cross-modal face recognition using multi-matcher face scores”, Proc. SPIE 9474, SPIE Defense, Security, and Sensing 2015, Baltimore, United States.
  21. Yufeng Zheng, Harold Szu, “Hypothesis on human eye perceiving optical spectrum rather than an image”, Proc. SPIE 9496, SPIE Defense, Security, and Sensing 2015, Baltimore, United States.
  22. Yufeng Zheng, Erik Blasch, “The advantages of stereo vision in a face recognition system”, SPIE Defense, Security, and Sensing 2014, Baltimore, United States.
  23. Yufeng Zheng, “Simulation of Face Recognition at a Distance by Scaling Down Images”, IEEE ISSPIT 2013, December 12-15, 2013, Athens, Greece.
  24. Yufeng Zheng, “An integrated multispectral face recognition system (invited paper),” 2013 International Conference on Optical Instrument and Technology, Beijing, China, 2013
  25.  Yufeng Zheng, Erik Blasch, “Score Fusion and Decision Fusion for the Performance Improvement of Face Recognition,” 16th International Conference on Information Fusion, Istanbul, Turkey, 2013.
  26.  Yufeng Zheng, Kristopher Reese, Erik Blasch, Paul McManamon, “Qualitative evaluations and comparisons of six night-vision colorization methods”, SPIE Defense, Security, and Sensing 2013, Baltimore, United States.
  27.  Yufeng Zheng, “A Vehicle Threat Detection System Using Correlation Analysis and Synthesized X-ray Images”, SPIE Defense, Security, and Sensing 2013, Baltimore, United States.
  28.  Yufeng Zheng, Adel Elmaghraby, Kristopher Reese, “Performance Improvement of Face Recognition using Multispectral Images and Stereo Images”, IEEE ISSPIT 2012, December 12-15, 2012, Ho Chi Minh City, Vietnam.
  29.  Yufeng Zheng, “Near Infrared Face Recognition Using Orientation-based Face Patterns”, 2012 International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany, Sept. 2012.
  30.  Yufeng Zheng, “An Overview of Night Vision Colorization Techniques using Multispectral Images: from Color Fusion to Color Mapping”, 2012 International Conference on Audio, Language and Image Processing (ICALIP 2012), Shanghai, China, July 2012
  31.  Kristopher Reese, Yufeng Zheng, and Adel Elmaghraby, “A Comparison of Face Detection Algorithms in Visible and Thermal Spectrums”, International Conference on Advances in Computer Science and Application (CSA 2012), Amsterdam, The Netherlands, 2012.
  32. Yufeng Zheng, "An wavelet-based method for multispectral face recognition," SPIE Defense, SecYufeng Zheng, Chaoyang Zhang, Zhaoxian Zhou, "An wavelet-based method for multispectral face recognition," SPIE Defense, Security, and Sensing 2012, Baltimore, United States.
  33. Yufeng Zheng, Nian Zhang, Harold Szu, "Interdisciplinary educational approach to the human sciences," SPIE Defense, Security, and Sensing 2012, Baltimore, United States.
  34. Wenjie Dong, Yufeng Zheng, "An objective evaluation metric for color image fusion," SPIE Defense, Security, and Sensing 2012, Baltimore, United States.
  35. Kristopher Reese, Yufeng Zheng, and Adel Elmaghraby, “A Comparison of Face Detection Algorithms in Visible and Thermal Spectrums”, International Conference on Advances in Computer Science and Application (CSA 2012), Las Vegas, USA, 2012.
  36. Yufeng Zheng, Adel Elmaghraby, "A Brief Survey on Multispectral Face Recognition and Multimodal Score Fusion," (keynote speaker) IEEE ISSPIT 2011, December 14-17, 2011, Bilbao, Spain.
  37. Yufeng Zheng, "Face detection and eyeglasses detection for thermal face recognition," IS&T/SPIE Electronic Imaging Conference, 22-26 January 2012 in Burlingame, California, United States.
  38. Dan Shen, Genshe Chen, and Yufeng Zheng, "Game theoretic approach to similarity based image segmentation", “Signal and Data Processing of Small Targets 2011" conference, SPIE Optical Engineering + Applications, 21-25 August 2011, San Diego, United States.
  39. Yufeng Zheng, "A channel-based color fusion technique using multispectral images for night vision enhancement", “Applications of Digital Image Processing XXXIV" conference, SPIE Optical Engineering + Applications, 21-25 August 2011, San Diego, United States.
  40.  Yufeng Zheng, “An Orientation-based Face Recognition Algorithm”, The IASTED International Conference on Computer Vision 2011, June 1 - 3, 2011, Vancouver, BC, Canada. . International Conference on Computer Vision 2011, June 1 - 3, 2011, Vancouver, BC, Canada. .
  41.  Yufeng Zheng, “A Hidden Markov Model for Multimodal Biometrics Score Fusion”, “Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2011” Conference, SPIE Defense, Security, and Sensing, 25-29 April 2011, Orlando, United States.
  42.  Yufeng Zheng, “A Novel Orientation Code for Face Recognition”, “Visual Information  Yufeng Zheng, “ A Novel Orientation Code for Face Recognition ”, “Visual Information Processing XX” Conference, SPIE Defense, Security, and Sensing, 25-29 April 2011, Orlando, United States.
  43. Yufeng Zheng, “A Novel Thermal Face Recognition Approach Using Face Pattern Words”, Proc. SPIE, Vol. 7667, “Biometric Technology for Human Identification VII” conference, SPIE Defense, Security, and Sensing, 5-9 April 2010, Orlando, United States. United States.
  44. Yufeng Zheng, “An orientation-based fusion algorithm for multisensor image fusion”, Proc. SPIE, Vol. 7710, “Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010” conference, SPIE Defense, Security, and Sensing, 5-9 April 2010, Orlando, United States.
  45. Yufeng Zheng, “Multi-scale Fusion Algorithm Comparisons: Pyramid, DWT and Iterative DWT”, 12th International Conference on Information Fusion, pp. 1060-1067, Seattle, WA, USA, July 6-9, 2009.
  46. Yufeng Zheng and Kwabena Agyepong, “Component-based target recognition inspired by human vision”, Proc. SPIE, Vol. 7335, 73350V (2009).
  47. Yufeng Zheng, “Bio-inspired color image enhancement model”, Proc. SPIE, Vol. 7341, 73410D (2009).
  48. Fengmei Zou, Yufeng Zheng,Yufeng Zheng, “Bio-inspired color image enhancement model”, Proc. SPIE, Vol. 7341, 73410D (2009).
  49. Chengcheng Li, Yufeng Zheng, Kwabena Agyepong, “Prediction of IMF Percentage of Live Cattle by Using Ultrasound Technologies with High Accuracies”, WASE International Conference on Information Engineering 2009 (ICIE '09), Volume 2, pp. 474 - 478 (2009).
  50. Fengmei Zou, Yufeng Zheng, Zhengdong Zhou, and Kwabena Agyepong, “Gradient Vector Flow Field and Mass Region Extraction in Digital Mammograms”, 2008 21st IEEE International Symposium on Computer-Based Medical Systems, pp. 41-43 (CBMS 2008).
  51. Yufeng Zheng, “Gaussian model-based statistical matching for image enhancement and segmentation,” Visual Information Processing XVII. Proceedings of the SPIE, Vol. 6978, pp. 697802-1-697802-11 (2008).tion”, Signal Processing, Sensor Fusion, and Target Recognition XVII. Proceedings of the SPIE, Vol. 6968, pp. 69681U-69681U-12 (2008).
  52. Yufeng Zheng and Kwabena Agyepong , “Mass Detection with Digitized Screening Mammograms by Using Gabor Features”, Proceedings of the SPIE, Vol. 6514, pp.651402-1-12 (2007 ).
  53. Yufeng Zheng , Adel Elmaghraby and Hichem Frigui, “ Three-band MRI image fusion utilizing the wavelet-based method optimized with two quantitative fusion metrics ”, Proceedings of the SPIE, Vol. 6144, pp. 61440R-1-61440R-12 (2006).
  54. Yufeng Zheng , Bruce C. Hansen, Andrew M. Haun and Edward A. Essock, “ Coloring Night-vision Imagery with Statistical Properties of Natural Colors by Using Image Segmentation and Histogram Matching ”, Proceedings of the SPIE, Vol. 5667, pp. 107-117 (2005).
  55. Yufeng Zheng , Edward A. Essock and Bruce C. Hansen, “ An Advanced Image Fusion Algorithm Based on Wavelet Transform – Incorporation with PCA and Morphological Processing ”, Proceedings of the SPIE, Volume 5298, pp. 177-187 (2004).
  56. Yufeng Zheng and Edward A. Essock, “ A Novel Feature Extraction Method – Wavelet-Fourier Analysis and Its Application to Glaucoma Classification ”, Proceedings of 7th Joint Conference on Information Sciences, pp. 672-675, Cary, North Carolina, September, 2003.
  57. Yufeng Zheng , Xiaohui Cui, Mark P. Wachowiak, and Adel S. Elmaghraby, “CT Scout Z-resolution Improvement with Image Restoration Methods”, Proc. SPIE Int. Soc. Opt. Eng. 5032, 1851 (2003), (SPIE Medical Imaging Conference,) San Diego, California, February, 2003.
  58. Yufeng Zheng , Ji Du, Long Qi and Daoyin Yu, “Echocardiographic Visual Processing and Quantitative Analysis”, PP.46-49, SPIE Proceedings Vol. 2866, International Conference on Holography and Optical Information, Nanjing , China , August 1996.

 

Book Chapters:

  1. Yufeng Zheng, “ Iterative Multiscale Fusion and Night Vision Colorization of Multispectral Images ”, Sensor Fusion and its Applications, ISBN 978-953-7619-X-X, 2010.
  2. EA Essock, P Gunvant and Yufeng Zheng , “Nerve Giber Analyzer GDx Progression”, Optic Nerve Head and Retinal Nerve Fiber Analysis, Edited by Iester M, Garway-Heath D, Lemij H; Savona, Dogma. ISBN 88-87434-30-1, pp.111-113, 2005.
  3. Yufeng Zheng, “An Exploration of Color Fusion with Multispectral Images for Night Vision Enhancement”, Image Fusion and its Applications, ISBN 978-953-307-173-2, June 2011.
  4. Gang Hu, Yufeng Zheng, Xin-qiang Qin, “Image Fusion based on integer lifting wavelet transform”, Image Fusion and its Applications, ISBN 978-953-307-173-2, June 2011.
  5. Yufeng Zheng, Wenjie Dong, Genshe Chen, and Erik Blasch “ The Objective Evaluation Index (OEI) for Evaluation of Night Vision Colorization Techniques ”, Image Fusion, ISBN 980-953-307-540-7, September 2013.
  6. Yufeng Zheng, “Using Score Fusion for Improving the Performance of Multispectral Face Recognition”, Signal and Image Processing for Biometrics Under Uncontrolled Data Acquisition Conditions, Springer-Verlag, 2014  

 

 Books

  1. Yufeng Zheng, Erik Blasch, Zheng Liu, “Multispectral Image Fusion and Colorization”, SPIE Press, March 2018
  2. Yufeng Zheng, Erik Blasch, Adel Elmaghraby (Guest Editors of Special Issue on), “ Biologically Inspired Methods for Imaging, Cognition, Vision, and Intelligence ”, Computational Intelligence and Neuroscience , Hindawi Publishing Corporation, 2015
  3. Yufeng Zheng, “Image Fusion and Its Applications”, ISBN 978-953-307-173-2, June 2011

 

Resume of Dr. Yufeng Zheng   (PDF updated on 06/21/2023)

Contact Information and Links :

Email:            
Address:        Dept. of Data Science,
                         University of Mississippi Medical Center,
                         2500 North State Street,
                         Jackson, MS 39216, USA
Work Link:     Dept. of Data Science, UMMC
SPIE Page:     http://spie.org/profile/Yufeng.Zheng-33877
Social Sites:  LinkedIn    ResearchGate
TRS Page:       http://www.r2image.com/TRS_Demo/ (Teaching, Research, Service Demostration)
ICA-Wavelet:  http://www.r2image.com/wavelet/ (recording the award winners in the areas of ICA, Wavelets, Nanoengineering, Compressive Sampling, etc.) 

(Updated on April 20 2022)  []