ShahDossti
Associate Professo
 Faculty member of the Electrical and Computer Engineering Department, Control Branch.

https://scholar.google.com/citations?hl=en&user=ZCmWy4IAAAAJ

Telephone: +98(81)38411529
Email: h.doosti @ hut.ac.ir
Address: Shahid Fahmideh.St,Hamedan,IRAN
CV
Website:https://en.hut.ac.ir/shah-doosti
Research Interests 
  • Artificial intelligence:
  • Machine Learning.
  • Deep Learning.
  • Reinforcement Learning.

  • Signal Processing:
  • Image Processing.
  • Video Processing.
  • Image classification.
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Publications
Peer-reviewed articles:
  1. Shahdoosti, H.R., 2022. Feature extraction using sparse component decomposition for face classification. Engineering Management and Soft Computing, 8(1), pp.105-120 (In Persian).
  2. Shahdoosti, H. R. and Tabatabaei, Z., 2020. Object-based feature extraction for hyperspectral data using firefly algorithm. International Journal of Machine Learning and Cybernetics, 11(6), pp.1277-1291. (IF=4.377)
  3. Tabatabaei, Z., and Shahdoosti, H. R., 2020. A New Object Based Feature Extraction Method Using Segmentation For Classification Of Hyperspectral Images. Electronic Industries 11 (2), 109-127 (In Persian).
  4. Shahdoosti, H.R. and Rahemi, Z., 2019. Edge-preserving image denoising using a deep convolutional neural network. Signal Processing, 159, pp.20-32. (IF=4.729)
  5. Shahdoosti, H.R. and Hazavei, S.M., 2019. A new compressive sensing based image denoising method using block-matching and sparse representations over learned dictionaries. Multimedia Tools and Applications, 78(9), pp.12561-12582. (IF=2.577)
  6. Shahdoosti, H.R. and Javaheri, N., 2019. A new kernel fuzzy based feature extraction method using attraction points. Multidimensional Systems and Signal Processing, 30(2), pp.1009-1027. (IF= 2.030)
  7. Shahdoosti, H.R. and Tabatabaei, Z., 2019. MRI and PET/SPECT image fusion at feature level using ant colony based segmentation. Biomedical Signal Processing and Control, 47, pp.63-74. (IF=5.076)
  8. Shahdoosti, H.R. and Mehrabi, A., 2018. MRI and PET image fusion using structure tensor and dual ripplet-II transform. Multimedia Tools and Applications, 77(17), pp.22649-22670.(IF=2.577)
  9. Shahdoosti, H.R. and Javaheri, N., 2018. A fast algorithm for feature extraction of hyperspectral images using the first order statistics. Multimedia Tools and Applications, 77(18), pp.23633-23650.(IF=2.577)
  10. Shahdoosti, H.R. and Mehrabi, A., 2018. Multimodal image fusion using sparse representation classification in tetrolet domain. Digital Signal Processing, 79, pp.9-22. (IF=2.92)
  11. Shahdoosti, H.R. and Rahemi, Z., 2018. A maximum likelihood filter using non-local information for despeckling of ultrasound images. Machine Vision and Applications, 29(4), pp.689-702. (IF=2.983)
  12. Shahdoosti, H.R. and Salehi, M., 2018. Transform‐based watermarking algorithm maintaining perceptual transparency. IET Image Processing, 12(5), pp.751-759. (IF= 1.773)
  13. Shahdoosti, H.R. and Hazavei, S.M., 2018. Combined ripplet and total variation image denoising methods using twin support vector machines. Multimedia Tools and Applications, 77(6), pp.7013-7031. (IF=2.577)
  14. Shahdoosti, H.R., and Javaheri, N., 2018. A new hybrid feature extraction method in a dyadic scheme for classification of hyperspectral data. International journal of remote sensing, 39(1), pp.101-130. (IF=3.531)
  15. Shahdoosti, H.R. and Salehi, M., 2018. A new digital image watermarking using optimal embedding weights. Journal of Intelligent & Fuzzy Systems, 34(6), pp.4355-4366. (IF= 1.737)
  16. Shahdoosti, H.R., 2017. Two-stage image denoising considering interscale and intrascale dependencies. Journal of Electronic Imaging, 26(6), p.063029. (IF=0.829 )
  17. Shahdoosti, H.R., A New Noise-Assistant LMS Algorithm for Preventing the Stalling Effect. The Modares Journal of Electrical Engineering, 16(4): pp. 63-70.
  18. Kazemi, A., Shahdoosti, H.R. and Mnatsakanov, R.M., 2017. Hausdorff moment problem: Recovery of an unknown support for a probability density function. Journal of Inverse and Ill-posed Problems, 25(6), pp.719-731. (IF=1.448)
  19. Shahdoosti, H.R. and Hazavei, S.M., 2017. Image denoising in dual contourlet domain using hidden Markov tree models. Digital Signal Processing, 67, pp.17-29. (IF=2.92)
  20. Shahdoosti, H.R. and Javaheri, N., 2017. Pansharpening of clustered MS and Pan images considering mixed pixels. IEEE Geoscience and Remote Sensing Letters, 14(6), pp.826-830. (IF=5.343)
  21. Shahdoosti, H.R. and Mirzapour, F., 2017. Spectral–spatial feature extraction using orthogonal linear discriminant analysis for classification of hyperspectral data. European Journal of Remote Sensing, 50(1), pp.111-124. (IF=3.168)
  22. Shahdoosti, H.R. and Khayat, O., 2016. Image denoising using sparse representation classification and non-subsampled shearlet transform. Signal, Image and Video Processing, 10(6), pp.1081-1087. (IF=1.583)
  23. Shahdoosti, H.R. and Ghassemian, H., 2016. Combining the spectral PCA and spatial PCA fusion methods by an optimal filter. Information Fusion, 27, pp.150-160. (IF= 17.564)
  24. Shahdoosti, H.R. and Khayat, O., 2016. Combination of anisotropic diffusion and non-subsampled shearlet transform for image denoising. Journal of Intelligent & Fuzzy Systems, 30(6), pp.3087-3098. (IF= 1.737)
  25. Shahdoosti, H.R. and Ghassemian, H., 2016. Fusion of multispectral and panchromatic images using special PCA. Signal and Data Processing, 10(1), pp.69-78 (in Persian).
  26. Shahdoosti, H.R. and Ghassemian, H., 2014. Fusion of MS and PAN images preserving spectral quality. IEEE Geoscience and Remote Sensing Letters, 12(3), pp.611-615. (IF= 5.343)
  27. Shahdoosti, H.R. and Ghassemian, H., 2011. Multispectral and Panchromatic Image Fusion by Combining Spectral PCA and Spatial PCA Methods. Modares Journal of Electrical Engineering 11 (3), pp. 19-27.
  28. Khayat, O., Ebadzadeh, M.M., Shahdoosti, H.R., Rajaei, R. and Khajehnasiri, I., 2009. A novel hybrid algorithm for creating self-organizing fuzzy neural networks. Neurocomputing, 73(1-3), pp.517-524. (IF=5.779)

Conferences:
  1. Salehi. M. and Shahdoosti, H.R., (2019). “A Robust Grayscale Image Watermarking Algorithm using IWT and SVD.” Fifth International Conference on Quality Research in Electrical and Mechatronics Electrical Engineering, Tehran, Iran, pp. 118-129.
  2. Shahdoosti, H.R., (2019). “A new ultrasound despeckling method using spectrum equalization and quantum-inspired adaptive threshold.” Fifth International Conference on Quality Research in Electrical and Mechatronics Electrical Engineering, Tehran, Iran, pp. 130-135.
  3. Shahdoosti, H.R., (2018). “A new ultrasound despeckling method using spectrum equalization and quantum-inspired adaptive threshold.” 2nd International Conference on Electrical Engineering, Tehran, Iran, pp. 87-93.
  4. Shahdoosti, H.R., (2018). “Robust non-local means filter for ultrasound image denoising.” 2nd International Conference on Electrical Engineering, Tehran, Iran, pp. 94-99.
  5. Shahdoosti, H.R., Hazavei, S. M. (2017). “Using Complex Wavelet Transform and Bilateral Filtering for Image Denoising.” 4nd International Conference on practical research in computer engineering and signal processing, Tehran, Iran, pp. 208-214.
  6. Hazavei, S. M., Shahdoosti, H.R. (2017). “Using Complex Wavelet Transform and Bilateral Filtering for Image Denoising.” 4nd International Conference on practical research in computer engineering and signal processing, Tehran, Iran, pp. 301-306.
  7. Shahdoosti, H.R., Ghassemian, H. (2015). “Combination of IHS and Spatial PCA Methods for Multispectral and Panchromatic Image Fusion.” 21th Iranian Conference on Electric Engineering,Mashhad, Iran, pp. 139-146.
  8. Khayat, O., Razjouyan, J., Aghvami, M., Shahdoosti, H.R. and Loni, B. (2009), March. An automated GA-based fuzzy image enhancement method. In 2009 IEEE Symposium on Computational Intelligence for Image Processing, pp. 14-19.
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Courses Taught
  • Digital Communication Laboratory
      Principles of telecommunication systems
      Electromagnetism
      Pattern recognition
      Systems analysis
      signals and systems
      Special topics (remote sensing)
      Telecommunications 1
      Analog and digital communications
      Electric circuits 1
      communication circuits
      Image Processing
Academic Experiences
  • Instructor of Record: Communication systems, Remote Sensing, Image Processing, Pattern Recognition, Advanced Mathematical Programming.
  • Teaching Assistant: Electric Circuits (Fall 2006), Signals and Systems (Spring 2006), Communication systems (Fall 2006).
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Honors and Awards
  • National Olympiad Electrical Engineering Award, Amir Kabir University Dean/Provost Award, 2007.
  • Best Researcher of all engineering majors Award in Province of Hamedan, Governer (Head of Province) Award, 2017.
  • Best Researcher of all engineering majors Award in Province of Hamedan, Governer (Head of Province) Award, 2018.
  • Highest GPA of Telecommunications Engineering Class of 2010-2015, Tarbiat Modares University.
  • Ranked in top 0.3%, Nationwide Entrance Exam of State Universities for BSC, 2003.
  • Ranked in top 0.1%, Nationwide Entrance Exam of State Universities for MSc, 2007.
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