Paheding Sidike, Ph.D.
​---
​Postdoctoral Research Associate
Center for Sustainability
Saint Louis University
St. Louis, MO 63108
Email: prexat@gmail.com
News

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Photogrammetric Engineering & Remote Sensing - PE&RS
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Research Interests 

Image Processing, Computer Vision, Machine Learning, Remote Sensing, Pattern Recognition, Target Detection/Classification, Joint Transform Correlation Filters, ​Dimensionality Reduction, Feature Extraction, Deep Neural Networks, Biomedical Imaging. 

Research Highlights

​  Volumetric Directional Pattern for Spatial Feature Extraction from Hyperspectral Imagery

In this work, we propose a novel feature extraction method, named Volumetric Directional Pattern, for Hyperspectral Image (HSI) classification. The proposed technique fuses the texture information from three consecutive bands in the input HSI. The extracted local image texture features for each pixel of interest is then fed into an extreme learning machine classifier to assign object category. Experimental results demonstrate that the effectiveness of VDP compared to the state-of-the-arts. [Paper]
Single Image Super Resolution
This work presents a machine learning-based approach to reconstruct a high-resolution (HR) image from a single low- resolution (LR) image. Inspired by the human visual cortex system, which is sensitive to high-frequency (HF) components in an image, we aim to model this concept by training a neural network to estimate the missing HF components that contain structural details. In our method, various directional edge responses at each pixel are considered to obtain more complete HF information and then a regularized extreme learning regression model is trained using a set of LR and HR images. [Paper]
Multiclass Object Detection with Single Query from Hyperspectral Imagery
We propose a deterministic object detection algorithm capable of detecting multiclass objects in hyperspectral imagery (HSI) without any training or preprocessing. The proposed method, which is named class-associative spectral fringe-adjusted joint transform correlation (CSFJTC), is based on joint transform correlation (JTC) between object and nonobject spectral signatures to search for a similar match, which only requires one query (training-free) from the object's spectral signature. The output of CSFJTC yields a pair of sharp correlation peaks for a matched target and negligible or no correlation peaks for a mismatch. Experimental results demonstrate the superiority of the proposed CSFJTC technique compared to the state-of-the-arts. [Paper]

Education

  • Ph.D., Electrical Engineering, University of Dayton,  U.S.A, Aug. 2013 - Dec. 2016
  • M.S., Electrical Engineering, University of South Alabama, U.S.A, May 2011 - May 2013
  • B.S., Electronic Information Engineering, Northwest Univ. for Nationalities,  China, Sept. 2004 - Jun. 2008

Professional Services​

Guest Editor: Invited Journal Reviewer
  • IEEE Transactions on Medical Imaging
  • IEEE Geoscience and Remote Sensing Letters
  • Information Fusion Journal
  • Journal of Optics and Laser Technology
  • Journal of Electrical and Computer Engineering
  • Journal of Fire Sciences
Invited Conference Reviewer
  • International Conference on Pattern Recognition (ICPR)
  • International Symposium on Visual Computing (ISVC)
  • International Conference on Computer and Information Technology (ICCIT)
  • International Conference on Advances in Electrical Engineering (ICAEE)
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Perception Beyond Visible Spectrum (PBVC)
Conference Technical Program Committee Member
  • International Conference on Computer and Information Technology, 2014 - Present

Professional Membership

  • Member of Tau Beta Pi (Engineering Honor Society), November 2012 (initiate), life member
  • Member of SPIE (Society of Photographic Instrumentation Engineers), 2011 - present
  • Member of IEEE (Institute of Electrical and Electronics Engineers), 2011 - present

Teaching Experience​

  • Graduate Teaching Assistant, Department of Electrical and Computer Engineering, University of Dayton
    • Advanced Digital Image Processing
    • Machine Learning
  • Graduate Teaching Assistant, Department of Electrical and Computer Engineering,​ University of South Alabama
    • Digital Image Processing
    • Computer Architecture
    • Digital Logic Design
    • Circuit and System Design

Publications

  • Journals
    1. Daniel Prince, Paheding Sidike, Almabrok Essa, and Vijayan K. Asari, “Collaborative feature fusion for automatic building change detection,” Journal of Applied Remote Sensing (JARS), 2017.  to appear
    2. ALmabrok Essa, Paheding Sidike, and Vijayan K. Asari, “Volumetric directional pattern for hyperspectral image classification,” IEEE Geoscience and Remote Sensing Letters,  vol. 14, no. 7, p. 1056-1060,  2017. [Link]
    3. ​Paheding Sidike, Evan Krieger, Zahangir Alom, Vijayan K. Asari and Tarek Taha, “A fast single image super-resolution via directional edge guided regularized extreme learning regression,” Signal, Image and Video Processing,  vol. 11, p. 961–968, 2017. [Link]
    4. Evan Krieger, Paheding Sidike, Theus Aspiras, and Vijayan K. Asari, “Deterministic object tracking using Gaussian ringlet and directional edge features,” Optics & Laser Technology,  vol. 95, p. 133-146, 2017. [Link]
    5. Paheding Sidike, Ghulam, A., Asari, V.K., and Alam, M.S., “Efficient hyperspectral target detection using class-associative spectral fringe-adjusted JTC with dimensionality reduction techniques,” Asian Journal of Physics, vol. 26. no. 4,  2017.  
    6. Zahangir Alom, Paheding Sidike, Tarek Taha and Vijayan K. Asari, “Handwritten Bangla digit recognition using deep neural networks,”  arXiv, May 2017.  [Link]
    7. M. Maimaitijiang, A. Ghulam, Paheding Sidike, S. Hartling, M. Maimaitiyiming, K. Peterson, E. Shavers, J. Peterson, J. Burken, ​F. Fritschi, “Unmanned aerial system-based phenotyping using multi-sensor data fusion and extreme learning machine,”  2017. (In review)​
    8. Zahangir Alom, Paheding Sidike, Tarek Taha and Vijayan K. Asari, “State preserving extreme learning machine: a monotonically increasing learning approach,” Neural Processing Letters, vol.45, p. 703-725, Sept. 2016. [Link]
    9. Paheding Sidike, Vijayan K. Asari, and Mohammad S. Alam, “Recent advances in fringe-adjusted joint transform correlation based optical pattern recognition techniques,” Asian Journal of Physics, vol. 25, no. 4, April 2016. [Link]
    10. Paheding Sidike, Vijayan K. Asari, and Mohammad S. Alam, “Multiclass object detection with single query in hyperspectral imagery using class-associative spectral fringe-adjusted joint transform correlation,” IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol.54, issue 2, p. 1196-1208, Feb. 2016. [Link]
    11. ALmabrok Essa, Paheding Sidike, and Vijayan K. Asari, “Efficient key frame selection approach for object detection in wide area surveillance applications,” International Journal of Monitoring and Surveillance Technologies Research (IJMSTR), vol. 3, issue 2, p. 20-34, 2015. [Link]
    12. Vijayan K. Asari, Paheding Sidike, Chen Cui, and Varun Santhaseelan, “New wide-area surveillance techniques for protection of pipeline infrastructure,” SPIE Newsroom: Defense and Security, p. 1-4, Jan. 2015. [Link]
    13. Paheding Sidike, M. S. Alam, “Logarithmic fringe-adjusted joint transform correlation,” Optical Engineering, 52(10), p. 103108, 2013.  [Link]
  • Conference Proceedings
    1. Vijayan Asari and Paheding Sidike, “Automatic material segmentation in hyperspectral imagery by a nonlinear line attractor neural network, ” Imaging Systems and Applications - OSA Imaging and Applied Optics Congress, June 2017.
    2. ​Paheding Sidike, Almabrok Essa, Maher Qumsiyeh and Vijayan Asari, “Extreme learning machine with variance inflation factor for robust pattern recognition,” SPIE Defense +Security: Pattern Recognition and Tracking XXVIII, 9 - 13 April 2017. 
    3. Fatema Albalooshi, Paheding Sidike, and Vijayan K. Asari, “Automatic Detection and Segmentation of Oil Leak in Ocean Environment,” Middle East Heavy Oil Congress (MEHOC), 11-12 April, 2017. 
    4. Evan Krieger, Paheding Sidike, Almabrok Essa, and Vijayan K. Asari, “Boosted ringlet features for robust object tracking,” IEEE Applied Imagery Pattern Recognition Workshop: Imaging and Artificial Intelligence: Intersection and Synergy - AIPR 2016, Washington DC, USA, October 18-20, 2016..
    5. Paheding Sidike, Chen Chen, Vijayan K. Asari, Yan Xu, and Wei Li, “Classification of hyperspectral image using multiscale spatial texture features,” IEEE 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2016), August 2016.
    6. Paheding Sidike, Daniel Prince, Almabrok Essa, and Vijayan K. Asari, “Automatic building change detection through adaptive local textural features and sequential background removal,” 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2016), Beijing, China, 10 - 15 July 2016.
    7. Paheding Sidike, Almabrok Essa, Evan W. Krieger, and Vijayan K. Asari, “Tracking visual objects using ringlet-based pyramid Fourier histogram of oriented gradients,” SPIE Defense + Security: Optical Pattern Recognition XXVII, Baltimore, MD, USA, 17 - 21 April 2016.
    8. Paheding Sidike, Almabrok Essa, and Vijayan K. Asari, “Object shape extraction using mixture of gradient kernels and adaptive thresholding,” SPIE Defense + Security: Optical Pattern Recognition XXVII, Baltimore, MD, USA, 17 - 21 April 2016.
    9. 10. Paheding Sidike, Md. Zahangir Alom, Vijayan K. Asari, and Tarek M. Taha, “Non-regularized state preserving extreme learning machine for natural scene classification,” International Conference on Computer Vision and Image Processing (CVIP-2016), Indian Institute of Technology – Roorkee, Uttarakhand, India, 26 - 28 February 2016. 
    10.  ALmabrok Essa, Paheding Sidike, and  Vijayan K. Asari, “Real time automatic machinery threat detection and identification system for protection of pipeline infrastructure,” IS&T International Conference on Electronic Imaging: Imaging and Multimedia Analytics in a Web and Mobile World 2016, San Francisco, California, USA, 14-18 February 2016.
    11.  Evan Krieger, Paheding Sidike, Theus Aspiras, and Vijayan K. Asari, “Directional ringlet intensity feature transform for tracking,” IEEE International Conference on Image Processing - ICIP 2015, September 2015.
    12.  Md. Zahangir Alom, Paheding Sidike, Vijayan K. Asari and Tarek Taha, “State preserving extreme learning machine for face recognition,” IEEE International Joint Conference on Neural Networks - IJCNN 2015, July 2015.
    13. Almabrok Essa, Paheding Sidike, and Vijayan K. Asari, “A modular approach for key-frame selection in wide area surveillance video analysis,” IEEE National Aerospace & Electronics Conference & Ohio Innovation Summit - NAECON-OIS 2015, June 2015.
    14. Paheding Sidike, Almabrok Essa, and Vijayan K. Asari, “Intrusion detection in aerial imagery for protecting pipeline infrastructure,” IEEE National Aerospace & Electronics Conference & Ohio Innovation Summit - NAECON-OIS 2015, June 2015. 
    15. Paheding Sidike, Almabrok Essa, Fatema Albalooshi, Vijayan K. Asari, and Varun Santhaseelan, “Automatic building change detection in wide area surveillance ,” IEEE National Aerospace & Electronics Conference & Ohio Innovation Summit - NAECON-OIS 2015, June 2015.
    16. Evan W. Krieger, Paheding Sidike, Theus Aspiras, and Vijayan K. Asari, “Vehicle tracking under occlusion conditions using directional ringlet intensity feature transform,” IEEE National Aerospace & Electronics Conference & Ohio Innovation Summit - NAECON-OIS 2015, June 2015.
    17. Paheding Sidike, Vijayan K. Asari, and Mohammad S. Alam, “A robust fringe-adjusted joint transform correlator for efficient object detection,” SPIE Conference on Defense + Security: Optical Pattern Recognition XXVI, Baltimore, MD, USA, 20-24 April 2015.
    18. Fatema Albalooshi, Evan Krieger, Paheding Sidike and Vijayan K. Asari, “Efficient thermal image segmentation through integration of nonlinear intensity enhancement with unsupervised active contour model,” SPIE Conference on Defense + Security: Optical Pattern Recognition XXVI, Baltimore, MD, USA, 20-24 April 2015.
    19. Vijayan K. Asari, Paheding Sidike, Chen Cui, and Varun Santhaseelan, “Recent progress in wide-area surveillance: Protecting our pipeline infrastructure,” IS&T/SPIE International Conference on Electronic Imaging: Imaging and Multimedia Analytics in a Web and Mobile World , San Francisco, California, USA, 08-12 February 2015.
    20. Fatema Albalooshi, Yakov Diskin, Paheding Sidike, and Vijayan K. Asari, “Automatic detection and segmentation of carcinoma in radiographs,” IEEE International Workshop on Applied Imagery and Pattern Recognition - AIPR 2014: Democratization of Imagery, Washington DC, 14-16 October, 2014.
    21. Paheding Sidike, Yakov Diskin, Saibabu Arigela, and Vijayan K. Asari,”Visibility improvement of shadow regions using hyperspectral band integration,” Proceedings of SPIE Remote Sensing Conference: Image and Signal Processing for Remote Sensing, Vol. 9244-32, 2014.  
    22. Fatema Albalooshi, Paheding Sidike, and Vijayan K. Asari, “Efficient hyperspectral image segmentation using geometric active contour formulation,” Proceedings of  SPIE Remote Sensing Conference: Image and Signal Processing for Remote Sensing, Vol. 9244-6, 2014. 
    23. Paheding Sidike, Theus Aspiras, Vijayan K. Asari, and M. S. Alam, “A rotation Invariant pattern recognition using fringe-adjusted joint transform correlation and histogram representation,” Proceedings of  SPIE, Optical Pattern Recognition XXV, Vol. 9094, 90940F, 2014. 
    24. Yakov Diskin, Paheding Sidike, Saibabu Arigela, and Vijayan K. Asari, “Shadow removal for illumination invariant face detection in hyperspectral imagery,” Proceedings of  OSA Imaging and Applied Optics Congress: Imaging Systems and Applications (IS) , IW4C.3, 2014. 
    25. Paheding Sidike and Vijayan. K. Asari and M. S. Alam, “Illumination invariant pattern recognition using fringe-adjusted joint transform correlation and monogenic signal,” Proceedings of SPIE / IS&T Electronic Imaging, Image Processing: Machine Vision Applications VII, Vol. 9024, 90240C, 2014. 
    26. Paheding Sidike, M. S. Alam, Chen Cui, and Vijayan. K. Asari, “Efficient face recognition using shifted phase-encoded fringe-adjusted joint transform correlator,” In IEEE Proc. of International Conference on Advances in Electrical Engineering (ICAEE), p.425-430, 2013.
    27. Paheding Sidike and M. S. Alam, “Spectral fringe-adjusted joint transform correlation based efficient object classification in hyperspectral imagery,” Proceedings of SPIE, Optical Pattern Recognition XXIV, vol. 8748, 2013. (Travel Award)
    28. M. S. Alam and Paheding Sidike, “Trends in oil spill detection via hyperspectral imaging,”  IEEE Proc. of 7th International Conference on Electrical and Computer Engineering (ICECE), p.858 – 862, 2012.
    29. M. S. Alam, R .P. Gollapalli, and Paheding Sidike, “Identification and detection of oil and oil-derived substances at the surface and subsurface levels via hyperspectral imaging,” Proceedings of SPIE: Optical Pattern Recognition XXIII, vol.8398, p.839802 (1-13), 2012. 
    30. Paheding Sidike, J. Khan, M. S. Alam, and S. Bhuiyan, “Spectral unmixing of hyperspectral data for oil spill detection” Proceedings of SPIE: Optics and Photonics for Information Processing VI, vol.8498, p.84981B (1-10), 2012.
    31. Paheding Sidike, J. Khan, M. S. Alam, R. Gollapalli, and S. Bhuiyan, “Efficient classification of multispectral imagery for oil spill detection,” In IEEE Proc. of International Conference on Advances in Electrical Engineering (ICAEE), p.141-146, 2011.
  • Abstracts & Posters
    1. ​​Paheding Sidike and Vijayan K. Asari, “Multi-spectral data exploitation for automatic object detection and segmentation," Human Perception of Multi-spectral Imagery Workshop, Tec^Edge ICC, Dayton, Ohio, December 02, 2016.
    2. Almabrok Essa, Paheding Sidike, Daniel P Prince, and Vijayan K. Asari, “Frame Redundancy Elimination Technology for Big Data Analysis,” Brother Joseph W Stander Symposium 2016, University of Dayton, Dayton, OH, USA, 20 April 2016.
    3.  Paheding Sidike, Md. Zahangir Alom, Tarak Taha, and Vijayan K. Asari, “An Efficient Brain-like Learning Machine to Mimic Human Perception,” Brother Joseph W Stander Symposium 2016, University of Dayton, Dayton, OH, USA, 20 April 2016.
    4. Paheding Sidike, Almabrok Essa Essa, Daniel P Prince, and Vijayan K. Asari, “Object Detection Through 2D-3D Visible and Hyperspectral Imagery,” Brother Joseph W Stander Symposium 2016, University of Dayton, Dayton, OH, USA, 20 April 2016. 
    5. Evan W Krieger, Paheding Sidike, and Vijayan K. Asari, “Object Tracking using Statistic-based Feature Fusion Technique,” Brother Joseph W Stander Symposium 2016, University of Dayton, Dayton, OH, USA, 20 April 2016.
    6. Paheding Sidike, Evan W Krieger, and Vijayan K. Asari, “Image Interpolation Using Fourier Phase Features,” Brother Joseph W Stander Symposium 2016, University of Dayton, Dayton, OH, USA, 20 April 2016.
    7. Almabrok Essa, Paheding Sidike, Daniel P Prince, and Vijayan K. Asari, “Automated Oil/Gas Leak Detection System,” Brother Joseph W Stander Symposium 2016, University of Dayton, Dayton, OH, USA, 20 April 2016.
    8. Daniel P Prince, Paheding Sidike, Almabrok Essa, and Vijayan K. Asari, “Automatic Building Detection in Wide Area Imagery,” Brother Joseph W Stander Symposium 2016, University of Dayton, Dayton, OH, USA, 20 April 2016.
    9. Vijayan K. Asari, Paheding Sidike, Almabrok Essa, and Daniel Prince, “Automated wide area surveillance system for oil/gas pipeline infrastructure protection,” 2016 IEEE/ACM 11th Annual Information Technology Professional Conference at TCF. The College of New Jersey, Ewing Township, NJ, USA, March 18, 2016. (Invited Talk) 
    10. Paheding Sidike, Fatema Albalooshi, Yakov Diskin, ALmabrok Essa and Vijayan K. Asari, “Automatic building change detection by 2D and 3D representation for wide area surveillance,” Brother Joseph W Stander Symposium, University of Dayton, Dayton, OH, USA, April 2015.
    11. Paheding Sidike, ALmabrok Essa, and Vijayan K. Asari, “Automatic intrusion detection on pipeline right-of-way via aerial imagery,” Brother Joseph W Stander Symposium, University of Dayton, Dayton, OH, USA, April 2015.
    12. Fatema Albalooshi, Paheding Sidike, Yakov Diskin, and Vijayan K. Asari, “A self-organizing maps approach to segmenting tumors in computed tomography (CAT) and magnetic resonance imaging (MRI) scans,” Brother Joseph W Stander Symposium, University of Dayton, Dayton, OH, USA,  April 2015.
    13. Evan Krieger, Paheding Sidike, Theus Aspiras, and Vijayan K. Asari, “Directional ringlet intensity feature transform for pedestrian tracking,” Brother Joseph W Stander Symposium, University of Dayton, Dayton, OH, USA, April 2015.
    14. Paheding Sidike and Vijayan K. Asari, “Rotation, scaling and illumination invariant pattern recognition using joint transform correlation for object detection and tracking,” Brother Joseph W Stander Symposium, University of Dayton, Dayton, OH, USA, April 2015.
    15. Paheding Sidike and Vijayan K. Asari, “Detection of Machinery Threat on Pipeline Right-of-Way,” 2014 Pipeline Research Council International (PRCI) Research Exchange Meeting, Atlanta, GA, USA, 04-06 February 2014.
    16. Paheding Sidike, Chen Cui, Binu M Nair, Sai B Arigela, Yakov Diskin and Vijayan K. Asari, “Advanced Image Processing for Automatic Pipeline Right-Of-Way Threat Detection,” Brother Joseph W Stander Symposium, University of Dayton, Dayton, OH, USA, 9 April 2014. 
    17. Paheding Sidike, Sai B Arigela, Yakov Diskin and Vijayan K. Asari, “Visibility Improvement through Hyperspectral Band Integration,” Brother Joseph W Stander Symposium, University of Dayton, Dayton, OH, USA, 9 April 2014. 
    18. Andrew D Braun, Chen Cui, Paheding Sidike, Solomon G Duning, Binu M Nair, Theus H Aspiras, Yakov Diskin and Vijayan K. Asari, “An Interactive Robust Artificial Intelligence-based Defense Electro Robot (RAIDER) using a Pan-Tilt-Zoom Camera,” Brother Joseph W Stander Symposium, University of Dayton, Dayton, OH, USA, 9 April 2014.
  • Ph.D. Dissertation
​             Paheding Sidike, "Progressively Expanded Neural Network for Automatic Material Identification in Hyperspectral Imagery," Dec.                      2016. [Link]
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