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Recent Works:<\/strong><\/h3>\n
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  1. M. O. Kaya and F. S. Oktem, “prNet: Data-Driven Phase Retrieval via Stochastic Refinement,” Under review<\/em>. (arXiv<\/a>)<\/li>\n
  2. O. Oral and F. S. Oktem, “Data-Driven Joint Optimization of MIMO Arrays and Reconstruction Methods for Radar Imaging,” Under review<\/em>. (arXiv)<\/li>\n
  3. M. O. Kaya and F. S. Oktem, “I2I-PR: Deep Iterative Refinement for Phase Retrieval using Image-to-Image Diffusion Models,” Under review<\/em>. (arXiv<\/a>)<\/li>\n<\/ol>\n
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    Journal Papers, <\/strong>Book Chapters, and <\/strong>Editorials:<\/strong><\/h3>\n
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    1. \u00c7. I\u015f\u0131l and F. S. Oktem, “Deep Plug-and-Play HIO Approach for Phase Retrieval<\/a>,” Applied Optics<\/em>, vol. 64, no. 5, pp. A84-A94, 2025. (arXiv<\/a>).<\/li>\n
    2. M. O. Kaya and F. S. Oktem, “DDRM-PR: Fourier Phase Retrieval using Denoising Diffusion Restoration Models<\/a>,” Applied Optics<\/em>, vol. 64, no. 5, pp. A95-A105, 2025. (arXiv<\/a>)<\/li>\n
    3. O. Oral and F. S. Oktem, “Plug-and-Play Regularization on Magnitude with Deep Priors for 3D Near-Field MIMO Imaging<\/a>,” IEEE Transactions on Computational Imaging<\/em>, vol. 10, pp. 762-773, 2024, doi: 10.1109\/TCI.2024.3396388. (arXiv<\/a>)<\/li>\n
    4. A. Dalkilic, F. S. Oktem and L. Alatan, “Enhanced Near-Field Microwave Imaging System with Polarization Diversity<\/a>,” IEEE Antennas and Wireless Propagation Letters<\/em>, vol. 23, no. 3, pp. 1085-1089, 2024, doi: 10.1109\/LAWP.2023.3344609.<\/li>\n
    5. I. Manisal\u0131, O. Oral, and F. S. Oktem, “Efficient physics-based learned reconstruction methods for real-time 3D near-field MIMO radar imaging<\/a>.” Digital Signal Processing<\/em>, vol. 144, pp. 104274, 2024, doi: 10.1016\/j.dsp.2023.104274. (arXiv<\/a>)<\/li>\n
    6. J. Ke, T. Alieva, F. S. Oktem, P. E. Silveira, G. Wetzstein, and F. Willomitzer, “Computational Optical Sensing and Imaging 2021: feature issue <\/a>introduction<\/a>“, Optics Express, vol. 30, no. 7, pp. 11394-11399, 2022.<\/li>\n
    7. J. Ke, T. Alieva, F. S. Oktem, P. E. Silveira, G. Wetzstein, and F. Willomitzer, “Computational Optical Sensing and Imaging 2021: introduction to the feature issue<\/a>“, Applied Optics, vol. 61, no. 9, pp. COSI1-COSI4, 2022.<\/li>\n
    8. E. A. Miran, F. S. Oktem, and S. Koc, \u201cSparse Reconstruction for Near-Field MIMO Radar Imaging using Fast Multipole Method<\/a>\u201d. IEEE Access, vol. 9, pp. 151578 – 151589, 2021.<\/li>\n
    9. F. S. Oktem, O. F. Kar, C. D. Bezek, and F. Kamalabadi, “High-resolution multi-spectral imaging with diffractive lenses and learned reconstruction<\/a>.” IEEE Transactions on Computational Imaging, vol. 7, pp. 489 – 504, 2021. (arXiv<\/a>)<\/li>\n
    10. S. Ayazgok and F. S. Oktem, “Efficient computation of 2D point-spread functions for diffractive lenses<\/a>.” Applied Optics, vol. 59, no. 2, pp. 445-451, 2020.<\/li>\n
    11. \u00c7. I\u015f\u0131l, F. S. Oktem, and A. Ko\u00e7,\u00a0“Deep iterative reconstruction for phase retrieval<\/a>“, Applied Optics, vol. 58, no. 20, pp. 5422-5431, 2019.\u00a0(arXiv<\/a>)<\/li>\n
    12. O. F. Kar and F. S. Oktem, \u201cCompressive spectral imaging with diffractive lenses<\/a>.” Optics Letters, vol. 44, no. 18, pp. 4582-4585, 2019. (arXiv<\/a>)<\/li>\n
    13. J. M. Davila, F. S. Oktem, and F. Kamalabadi, \u201cSlitless solar imaging spectroscopy<\/a>.” The Astrophysical Journal, vol. 883, no. 1, pp. 7, 2019.<\/li>\n
    14. F. S. Oktem, \u201cSparsity-based three-dimensional image reconstruction for near-field MIMO radar imaging<\/a>.\u201d Turk. J. Elec. Eng. & Comp. Sci., vol. 27, no. 5, pp. 3282-3295, 2019.<\/li>\n
    15. K.B. Alici, F. S. Oktem, O. Karci, A.S. Yilmaz, and O. Selimoglu, \u201cImage chain simulation for Earth observation satellites<\/a>.\u201d IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 10, pp. 4014-4023, 2019.<\/li>\n
    16. F. S. Oktem, L. Gao, and F. Kamalabadi, \u201cChapter 5: Computational spectral and ultrafast imaging via convex optimization.” V. Monga (ed.), Handbook of Convex Optimization Methods in Imaging Science, Springer, Cham, pp. 105-127, 2018.<\/li>\n
    17. F. S. Oktem, F. Kamalabadi, and J. M. Davila, \u201cAnalytical Fresnel imaging models for photon sieves<\/a>,\u201d Optics Express, vol. 26, no. 24, pp. 32259-32279, 2018.<\/li>\n
    18. K. B. Alici, H. Buyuk, A. S. Yilmaz, C. Ozdemir, O. Karci, F. S. Oktem, and O. Selimoglu, \u201cPeriodic aperture imaging.\u201d Optical Engineering, vol. 56, pp. 050502, 2017.<\/li>\n
    19. F. S. Oktem and H. M. Ozaktas, \u201cEffect of spatial distribution of partial information on the accurate recovery of optical wave fields.\u201d Applied Optics, vol. 56, pp. A133-A144, 2017.<\/li>\n
    20. F. S. Oktem, and H. M. Ozaktas, \u201cChapter 7: Linear canonical domains and degrees of freedom of signals and systems.\u201d J.J. Healy et al. (eds.), Linear canonical transforms, Springer, New York, pp. 293-327, 2016.<\/li>\n
    21. A. Koc, F. S. Oktem, H. M. Ozaktas, and M. A. Kutay, \u201cChapter 9: Fast algorithms for digital computation of linear canonical transforms.\u201d J.J. Healy et al. (eds.), Linear canonical transforms, Springer, New York, pp. 197-239, 2016.<\/li>\n
    22. F. S. Oktem, F. Kamalabadi, and J. M. Davila, \u201cA parametric estimation approach to instantaneous spectral imaging,\u201d IEEE Trans. Image Process., vol. 23, pp. 5707-5721, 2014.<\/li>\n
    23. H. M. Ozaktas and F. S. Oktem, \u201cPhase-space window and degrees of freedom of optical systems with multiple apertures.” J. Opt. Soc. Am. A.<\/em>, vol. 30, pp.682-690, 2013.<\/li>\n
    24. F. S. Oktem and H. M. Ozaktas, \u201cEquivalence of linear canonical transform domains to fractional Fourier domains and the bicanonical width product: a generalization of the space- bandwidth product,” J. Opt. Soc. Am. A<\/em>, vol. 27, pp. 1885-1895, 2010.<\/li>\n
    25. F. S. Oktem and H. M. Ozaktas, \u201cExact relation between continuous and discrete linear canonical transforms,” IEEE Signal Process. Lett.<\/em>, vol. 16, pp. 727-730, 2009.<\/li>\n<\/ol>\n
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      Unpublished Preprints:\u00a0<\/strong><\/h3>\n
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      1. D. Dogan and F. S. Oktem, “Efficient Algorithms for Convolutional Inverse Problems in Multidimensional Imaging.” arXiv preprint arXiv: 2006.08303, 2020. (link<\/a>)<\/li>\n<\/ol>\n<\/div>\n<\/div>\n<\/div>\n
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        Conference Proceedings:\u00a0<\/strong><\/h3>\n
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        1. M. O. Kaya and F. S. Oktem, \u201cprNet: Efficient and Robust Phase Retrieval via Stochastic Refinement.\u201d IEEE 35th International Workshop on Machine Learning for Signal Processing (MLSP)<\/em>, \u0130stanbul, T\u00fcrkiye, 31 Aug.\u2013 03 Sept. 2025 (pp. 01-06) (oral presentation<\/strong>).<\/li>\n
        2. O. Oral and F. S. Oktem, \u201cJoint Optimization of MIMO Arrays and Imaging Methods.\u201d 33rd European Signal Processing Conference (EUSIPCO 2025)<\/em>, Palermo, Italy, 8\u201312 Sept. 2025.<\/li>\n
        3. M. O. Kaya and F. S. Oktem, \u201cI2I-PR: Data-Driven Phase Retrieval Using Image-to-Image Diffusion Models.\u201d 33rd European Signal Processing Conference (EUSIPCO 2025)<\/em>, Palermo, Italy, 8\u201312 Sept. 2025.<\/li>\n
        4. O. Oral and F. S. Oktem, “Plug-and-Play Reconstruction with 3D Deep Prior for Complex-Valued Near-Field MIMO Imaging.” 31st European Signal Processing Conference (EUSIPCO 2023), Helsinki, Finland, 4\u20138 Sept. 2023.<\/li>\n
        5. I. Manisali and F. S. Oktem, “Deep Learning-Based Reconstruction for Near-Field MIMO Radar Imaging.” 31st European Signal Processing Conference (EUSIPCO 2023), Helsinki, Finland, 4\u20138 Sept. 2023.<\/li>\n
        6. U. Gundogan and F. S. Oktem, “Deep Learning-Based Joint Reconstruction and System Optimization for Single-Shot Compressive Spectral Imaging.” Computational Optical Sensing and Imaging, CW4B. 4, Vancouver, British Columbia, Canada, 11\u201315 July 2022.<\/li>\n
        7. U. Gundogan and F. S. Oktem, \u201cComputational Spectral Imaging with Diffractive Lenses and Spectral Filter Arrays.\u201d IEEE Int. Conf. on Image Processing (ICIP), Virtual Meeting, 19-22 Sept. 2021.<\/li>\n
        8. C. D. Bezek and F. S. Oktem, “Unrolling-Based Deep Reconstruction for Compressive Spectral Imaging”. Computational Optical Sensing and Imaging, Virtual Meeting, 19-23 July 2021.<\/li>\n
        9. \u00c7. I\u015f\u0131l and F. S. Oktem, “Model-based Phase Retrieval with Deep Denoiser Prior.” Computational Optical Sensing and Imaging, Virtual Meeting, 22-26 June 2020.<\/li>\n
        10. D. Do\u011fan and F. S. Oktem, “Model-based Inversion Methods for Compressive Spectral Imaging with Diffractive Lenses.” Computational Optical Sensing and Imaging, Virtual Meeting, 22-26 June 2020 (Student Paper Award Finalist<\/strong>). (arXiv<\/a>)<\/li>\n
        11. I. Manisali, R. M. Cam, C. D. Bezek, and F. S. Oktem, “Deep CNN Prior Based Image Reconstruction for Multispectral Imaging.” 28th Signal Processing and Communications Applications Conference, Gaziantep, 5-7 Oct., 2020 (in Turkish).<\/li>\n
        12. U. Gundogan and F. S. Oktem, “Analysis of Alternative Performance Metrics for Compressive Spectral Imaging.” 28th Signal Processing and Communications Applications Conference, Gaziantep, 5-7 Oct., 2020 (in Turkish).<\/li>\n
        13. H. Baskaya and F. S. Oktem, “Evaluation of Sparsity-based Methods for Parameterized Source Separation.” 28th Signal Processing and Communications Applications Conference, Gaziantep, 5-7 Oct., 2020 (in Turkish).<\/li>\n
        14. D. Dogan and F. S. Oktem, “Comparison of Dictionary-Based Image Reconstruction Algorithms for Inverse Problems.” 28th Signal Processing and Communications Applications Conference, Gaziantep, 5-7 Oct., 2020 (in Turkish).<\/li>\n
        15. \u00c7. I\u015f\u0131l and F. S. Oktem, “Deep Learning-Based Hybrid Approach for Phase Retrieval.” Computational Optical Sensing and Imaging, Munich, Germany, 24-27 June 2019.<\/li>\n
        16. D. Do\u011fan and F. S. Oktem, “Convolutional Inverse Problems in Imaging with Convolutional Sparse Models.” Computational Optical Sensing and Imaging, Munich, Germany, 24-27 June 2019.<\/li>\n
        17. O. F. Kar and F. S. Oktem, “Fast Computational Spectral Imaging with a Programmable Diffractive Lens.” Computational Optical Sensing and Imaging, Munich, Germany, 24-27 June 2019.<\/li>\n
        18. S. Ayazgok and F. S. Oktem, “Snapshot Spectral Imaging with Generalized Photon Sieves.” Computational Optical Sensing and Imaging, Munich, Germany, 24-27 June 2019.<\/li>\n
        19. S. Ayazgok and F. S. Oktem, “Design Optimization For Snapshot Spectral Imaging.” 27th Signal Processing and Communications Applications Conference, 2019 (in Turkish).<\/li>\n
        20. O.F. Kar, U. Kamaci, F.C. Akyon, and F. S. Oktem, \u201cCompressive Photon-Sieve Spectral Imaging.\u201d Computational Optical Sensing and Imaging, Orlando, Florida, 25-28 June 2018.<\/li>\n
        21. \u00c7. I\u015f\u0131l and F. S. Oktem, \u201cA Phase-Space Approach to Diffraction-Limited Resolution.\u201d Imaging Systems and Applications, Orlando, Florida, 25-28 June 2018.<\/li>\n
        22. M. Sadighi, F. S. Oktem, and B. M. Eyuboglu, \u201cDiffusion Tensor Magnetic Resonance Electrical Impedance Tomography versus Magnetic Resonance Conductivity Tensor Imaging.\u201d 2018 ISMRM Meeting, Paris, France, 16-21 June 2018.<\/li>\n
        23. E. Anadol, I. Seker, S. Camlica, T. O. Topbas, S. Koc, L. Alatan, F. S. Oktem, and O. A. Civi, \u201cUWB 3D near-field imaging with a sparse MIMO antenna array for concealed weapon detection\u201d. Proc. SPIE 10633, Radar Sensor Technology XXII, 106331D, 15-19 April 2018.<\/li>\n
        24. O. F. Kar, U. Kamaci, F.C. Akyon, and F. S. Oktem, \u201cEffect of Different Priors on Compressive Photon-Sieve Spectral Imaging.\u201d 26th Signal Processing and Communications Applications Conference, 2018 (in Turkish).<\/li>\n
        25. F. C. Akyon, U. Kamaci, and F. S. Oktem, \u201cImage Deconvolution via Efficient Sparsifying Transform Learning.\u201d 26th Signal Processing and Communications Applications Conference, 2018 (in Turkish).<\/li>\n
        26. B. Iskender and F. S. Oktem, \u201cImage Restoration for Sparse Aperture Optical Systems.\u201d 26th Signal Processing and Communications Applications Conference, 2018 (in Turkish).<\/li>\n
        27. U. Kamaci, F.C. Akyon, T. Alkanat, and F. S. Oktem, \u201cEfficient sparsity-based inversion for photon-sieve spectral imagers with transform learning.\u201d IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 1225-1229, 2017.<\/li>\n
        28. B. Kocamis and F. S. Oktem, \u201cOptimal Design of Sparse MIMO Arrays for Near-Field Ultrawideband Imaging.\u201d 25th European Signal Processing Conference (EUSIPCO), pp. 1952-1956, 2017.<\/li>\n
        29. K.B. Alici, O. Karci, A.S. Yilmaz, C. Ozdemir, F. S. Oktem, and O. Selimoglu, \u201cOTF Analysis of a Spaceborne CMOS Imaging Sensor.\u201d 8th International Conference on Recent Advances in Space Technologies (RAST), 2017.<\/li>\n
        30. B. Kocamis and F. S. Oktem, \u201cOptimal MIMO Array Configuration for Ultrawideband Microwave Imaging.\u201d 25th Signal Processing and Communications Applications Conference, 1-4, 2017 (in Turkish).<\/li>\n
        31. F. S. Oktem, and T. Alkanat, \u201cFast Computation of Two-Dimensional Point-Spread Functions for Photon Sieves.” Imaging Systems and Applications, JT3A. 34, 2016.<\/li>\n
        32. F. S. Oktem, F. Kamalabadi, and J. M. Davila, \u201cComputational spectral imaging with photon sieves.\u201d 24th Signal Processing and Communications Applications Conference, 425-428, 2016 (in Turkish).<\/li>\n
        33. F. S. Oktem, F. Kamalabadi, and J. M. Davila, \u201cHigh-resolution computational spectral imaging with photon sieves.\u201d IEEE Int. Conf. on Image Processing (ICIP), 5122\u20135126, 2014 (\u201cTop 10%\u201d Paper Award<\/strong>).<\/span><\/li>\n
        34. F. S. Oktem, F. Kamalabadi, and J. M. Davila, \u201cParameter estimation for instantaneous spectral imaging.\u201d IEEE Int. Conf. on Acoustic Speech and Signal Processing (ICASSP), 8148\u20138152, 2014.<\/li>\n
        35. H. M. Ozaktas, and F. S. Oktem, \u201cLinear Canonical Transforms, Degrees of Freedom, and Sampling in Optical Signals and Systems.\u201d 22nd Signal Processing and Communications Applications Conference, 429\u2013432, 2014 (in Turkish).<\/li>\n
        36. F. S. Oktem, J. M. Davila, and F. Kamalabadi, \u201cImage formation model for photon sieves.\u201d IEEE Int. Conf. on Image Processing (ICIP), 2373\u20132377, 2013.<\/li>\n
        37. (Invited) <\/strong>F. S. Oktem, and H. M. Ozaktas, \u201cDegrees of freedom of optical systems and signals with applications to sampling and system simulation.\u201d Imaging Systems and Applications (IS), ITu1E\u20131, 2013.<\/span><\/li>\n
        38. F. S. Oktem, and H. M. Ozaktas, \u201cCondition number in recovery of signals from partial fractional Fourier domain information.\u201d Computational Optical Sensing and Imaging (COSI), JTu4A\u201318, 2013.<\/li>\n
        39. F. S. Oktem, F. Kamalabadi, and J. M. Davila, \u201cCramer-Rao bounds and instrument optimization for slitless spectroscopy.\u201d IEEE Int. Conf. on Acoustic Speech and Signal Processing (ICASSP), 2169\u20132173, 2013.<\/li>\n
        40. F. S. Oktem and F. Kamalabadi, \u201cAnalytical Precision Limits in Slitless Spectroscopy.\u201d IEEE Statistical Signal Processing Workshop (SSP), 468\u2013471, 2012.<\/li>\n
        41. F. S. Oktem and R. E. Blahut, \u201cSchulz-Snyder Phase Retrieval Algorithm as an Alternating Minimization Algorithm,\u201d Computational Optical Sensing and Imaging (COSI), CMC3, 2011.<\/li>\n
        42. F. S. Oktem and R. E. Blahut, \u201cAugmenting the Schulz-Snyder Algorithm for Phase Retrieval.\u201d In International Conference on Control and Optimization with Industrial Applications (COIA), Ankara, Turkey, 2011.<\/li>\n
        43. F. S. Oktem and H. M. Ozaktas, \u201cLinear Algebraic Analysis of Fractional Fourier Domain Interpolation Problem.\u201d 17th Signal Processing and Communications Applications Conference, 873\u2013875, 2009 (in Turkish).<\/li>\n<\/ol>\n
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          Conference Abstracts:
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          1. (Invited) <\/strong>F. S. Oktem, \u201cComputational Imaging and Inverse Problems: Making the Invisible Visible<\/a>.\u201d 21. Ulusal Optik, Elektro-Optik ve Fotonik \u00c7al\u0131\u015ftay\u0131, Istanbul, Turkey, 6 Sept. 2019.<\/li>\n
          2. J. M. Davila, F. S. Oktem, F. Kamalabadi, J. O\u2019Neill, A. Novo-Gradac, A. Daw, and D. M. Rabin, \u201cMilli-Arcsecond (MAS) Imaging of the Solar Corona.\u201d AAS\/Solar Physics Division Meeting, Boulder, Colorado, 2016.<\/li>\n
          3. F.~S.~Oktem, F.~Kamalabadi, and J.M. Davila, “Computational image formation with photon sieves for milli-arcsecond solar imaging.” Novel Techniques for Measurement and Processing of Solar and Space Data, COSPAR, Istanbul, Turkey, 2016 (cancelled).<\/li>\n
          4. J.M. Davila, F.~S.~Oktem, and F.~Kamalabadi, “Milli-Arcsecond Imaging of the solar corona.” Novel Techniques for Measurement and Processing of Solar and Space Data, COSPAR, Istanbul, Turkey, 2016 (cancelled).<\/li>\n
          5. J.M. Davila, A. Daw, F.~S.~Oktem, K.~Denis, J. O’Neill, and N. Shaw, “Milli-Arcsecond Diffractive Imaging of the Sun in the Extreme Ultraviolet.” Conference on Measurement Techniques in Solar and Space Physics, Boulder, Colorado, 2015.<\/li>\n
          6. F. S. Oktem, F. Kamalabadi, and J.M. Davila, \u201cHigh-Resolution Solar Imaging With Photon Sieves.\u201d Next Generation Instrumentation in Solar and Space Physics: Critical Measurements From Low Cost Missions\/Platforms, AGU Fall Meeting, San Francisco, California, 2014.<\/li>\n
          7. F. Kamalabadi, F. S. Oktem, and J.M. Davila, \u201cSlitless Solar Spectroscopy.\u201d Next Generation Instrumentation in Solar and Space Physics: Critical Measurements From Low Cost Missions\/Platforms, AGU Fall Meeting, San Francisco, California, 2014.<\/li>\n
          8. J. F. O\u2019Neill, J. M. Davila, F. S. Oktem, and A. N. Daw, \u201cExploring the Photon Sieve: Mathematical Framework and Experimental Categorization\u201d. Next Generation Instrumentation in Solar and Space Physics: Critical Measurements From Low Cost Missions\/Platforms, AGU Fall Meeting, San Francisco, California, 2014.<\/li>\n
          9. (Invited)<\/strong> F. S. Oktem, F. Kamalabadi, and J. M. Davila,\u201cImaging Techniques for High-Resolution and Instantaneous Observations of the Solar Corona.\u201d Seventh Solar Image Processing Workshop, La Roche-en-Ardenne, Belgium, 2014.<\/li>\n
          10. J. F. O\u2019Neill, J.M. Davila, and F. S. Oktem, \u201cSlitless solar spectroscopy\u201d. 2014 Solar Physics Division Meeting, Boston, MA, 2014.<\/li>\n
          11. F. S. Oktem, F. Kamalabadi, and J. M. Davila, \u201cMulti-order slitless solar spectroscopy: a Parametric Inversion Approach.\u201d Sixth Solar Image Processing Workshop, Bozeman, MT, 2012.<\/li>\n
          12. F.~S.~Oktem, F.~Kamalabadi, and J.~M.~Davila, “Precision Limits for Source Parameter Estimation in Slitless Spectrometry.” SIAM Conference on Imaging Science, Philadelphia, PA, 2012.<\/li>\n
          13. F.~S.~Oktem and R.~E.~Blahut, “Analysis and Comparative Evaluation of Methods for Phase Retrieval.” SIAM Conference on Imaging Science, Philadelphia, PA, 2012.<\/li>\n<\/ol>\n
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            Invited Talks and Seminars:
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            1. F. S. Oktem, \u201cComputational Imaging and Deep Learning: Seeing the Invisible.\u201d Invited seminar given at\u00a0METU International Optics & Photonics Summer School, METU Optics & Photonics Society,\u00a0Ankara, Turkey, Jul. 8, 2025.<\/li>\n
            2. F. S. Oktem, “Imaging the Unseen: Physics-Aware AI for Computational Imaging.” Invited talk given at METU International Day of Light, METU Optics & Photonics Society, Ankara, Turkey, May 17, 2025.<\/li>\n
            3. F. S. Oktem, “Physics-Informed Deep Learning for Solving Inverse Problems in Radar Imaging.” Invited talk given at IEEE SPS Synthetic Aperture Technical Working Group Meeting, Online, Jun. 6, 2024.<\/li>\n
            4. F. S. Oktem, “Computational Imaging and Physics-Informed Deep Learning: Making the Invisible Visible.” Talk given at METU, EE690 Graduate Seminar Series, Ankara, Turkey, Nov. 14, 2023.<\/li>\n
            5. F. S. Oktem, \u201cComputational Imaging and Deep Learning: Making the Invisible Visible.\u201d Keynote Speaker<\/strong> at the 7th International Symposium on Multidisciplinary Studies and Innovative Technologies, Ankara, Turkey, Oct. 26, 2023.<\/li>\n
            6. F. S. Oktem, “Yeni Nesil G\u00f6r\u00fcnt\u00fcleme Teknolojileri<\/a>.” Talk given at METU Dept. of Electrical & Electronics Eng., Departmental Advertising Seminars for High School Students, Ankara, Turkey, Aug. 10, 2020.<\/li>\n
            7. F. S. Oktem, “Computational Imaging and Inverse Problems: Making the Invisible Visible.” Talk given at \u0130zmir Biomedicine and Genome Center, IBG External Seminars, \u0130zmir, Turkey, Nov. 22, 2019.<\/li>\n
            8. F. S. Oktem, \u201cComputational Imaging and Inverse Problems: Making the Invisible Visible.\u201d Talk given at the 21th National Optics, Electro-Optics, and Photonics Workshop, Istanbul, Turkey, Sept. 6, 2019.<\/li>\n
            9. F. S. Oktem, “Computational Imaging and Inverse Problems: Making the Invisible Visible.” Talk given at Bilkent University, EEE 591\/592 Seminar Series, Ankara, Turkey, Apr. 4, 2018.<\/li>\n
            10. F. S. Oktem, “Computational Spectral Imaging Techniques for High-Resolution and Instantaneous Observations of the Solar Corona.” Talk given at the NASA Goddard Space Flight Center, Heliophysics Science Seminars, Greenbelt, USA, Dec. 9, 2014.<\/li>\n
            11. F. S. Oktem, “Inverse Problems in Computational Imaging with Applications to Spectral Imaging.” Talk given at Koc University, Engineering Seminar Series, Istanbul, Turkey, Jun. 10, 2014.<\/li>\n
            12. F. S. Oktem, “Inverse Problems in Computational Imaging with Applications to Spectral Imaging.” Talk given at the Middle East Technical University, Ankara, Turkey, Jun. 2, 2014.<\/li>\n
            13. F. S. Oktem, “Multi-order slitless solar spectroscopy.” Talk given at the University of Illinois at Urbana-Champaign, Remote Sensing \\& Space Science Seminars, Urbana, IL, USA, Oct. 29, 2012.<\/li>\n
            14. F. S. Oktem, “Schulz-Snyder Phase Retrieval Algorithm as an Alternating Minimization Algorithm and an Approach towards Global Solutions.” Talk given at the University of Illinois at Urbana-Champaign, DSP Seminars, Urbana, IL, USA, Apr. 13, 2011.<\/li>\n
            15. F. S. Oktem, “A Unified View of Schulz-Snyder Phase Retrieval Algorithm.” Talk given at the University of Wisconsin at Madison, DSP Seminars, Madison, WI, USA, Dec. 15, 2010.<\/li>\n
            16. F. S. Oktem, “The Fractional Fourier Transform and its Applications in Signal Processing and Optics.” Talk given at the Univ. of Illinois at Urbana-Champaign, DSP Seminars, Urbana, IL, USA, Feb. 17, 2010.<\/li>\n<\/ol>\n
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              Recent Works: M. O. Kaya and F. S. Oktem, “prNet: Data-Driven Phase Retrieval via Stochastic Refinement,” Under review. (arXiv) O. Oral and F. S. Oktem, “Data-Driven Joint Optimization of MIMO Arrays and Reconstruction Methods for Radar Imaging,” Under review. (arXiv) M. O. Kaya and F. S. Oktem, “I2I-PR: Deep Iterative Refinement for Phase Retrieval using […]<\/p>\n","protected":false},"author":4798,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-2","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blog.metu.edu.tr\/figeno\/wp-json\/wp\/v2\/pages\/2","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.metu.edu.tr\/figeno\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blog.metu.edu.tr\/figeno\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blog.metu.edu.tr\/figeno\/wp-json\/wp\/v2\/users\/4798"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.metu.edu.tr\/figeno\/wp-json\/wp\/v2\/comments?post=2"}],"version-history":[{"count":0,"href":"https:\/\/blog.metu.edu.tr\/figeno\/wp-json\/wp\/v2\/pages\/2\/revisions"}],"wp:attachment":[{"href":"https:\/\/blog.metu.edu.tr\/figeno\/wp-json\/wp\/v2\/media?parent=2"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}