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PUBLICATIONS |
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JOURNAL ARTICLES |
24. M. Oturak, S.E. Yuksel, S. Kucuk, "Multi-source Domain Adaptation of GPR Data for IED Detection," Signal, Image and Video Processing, 2023. (SCI-E) . pdf Link |
23. O. Arik, S.E. Yuksel, "Mobile Device Camera Calibration Using Building Images and Onboard Accelerometer," IEEE Trans. on Instrumentation and Measurement, 2022. (SCI) . pdf Link |
22. K.G. Toker, S.E. Yuksel, "Spectral-Spatial Nearest Subspace Classifier for Hyperspectral Image Classification," International Journal of Remote Sensing, 43:6, 2106-2133, 2022. Doi: 10.1080/01431161.2022.2055986. (SCI-E) . pdf Link |
21. O. Arik, S.E. Yuksel, "Camera Calibration Using Catenary," IEEE Sensors Journal, Feb. 2022. Doi: 10.1109/JSEN.2022.3150424. (SCI) . pdf Link |
20. S. Kucuk, S.E. Yuksel, "Pointwise Mutual Information based Graph Laplacian Regularized Sparse Unmixing," IEEE Geoscience and Remote Sensing Letters, January 2022. Doi: 10.1109/LGRS.2022.3143302. (SCI) . pdf Link |
19. S. Kucuk, S.E. Yuksel, "Total Utility Metric based Dictionary Pruning for Sparse Hyperspectral Unmixing," IEEE Transactions on Computational Imaging, vol. 7, pp. 562- 572, May 2021. (SCI) . pdf Link |
18. F. Ulger, S.E. Yuksel, A. Yilmaz, "Anomaly Detection for Solder Joints Using beta-VAE," IEEE Transactions on Components, Packaging and Manufacturing Technology, 2021. (SCI-E) . pdf Link |
17. E. Oduncu, S.E. Yuksel, "An In-Depth Analysis of Hyperspectral Target Detection with Shadow Compensation via LiDAR," Signal Processing: Image Communication, Vol. 99, 2021. (SCI-E) . pdf Link |
16. O. Torun, S.E. Yuksel, "Unsupervised Segmentation of LiDAR Fused Hyperspectral Imagery Using Pointwise Mutual Information," International Journal of Remote Sensing, 42:17, 6461-6476, 2021. (SCI-E) . pdf Link |
15. S.E. Yuksel, S. Kucuk, V. Tekeli, B. Kilic, R.H. Karakaya, M.B. Zeka, "A Study on the Comparison of Spectroscopy-based Methods Used in the Detection of Improvised Explosive Devices and Explosives," The Journal of Defense Sciences, issue 39, pp. 29-65, May 2021 . pdf Link |
14. M. E. Yuksel, S. Kucuk, S.E. Yuksel, E. Erdem, "Deep Learning for Medicine and Remote Sensing: A Brief Review," International Journal of Environment and Geoinformatics, December 2020 . pdf Link |
13. S. Kucuk, S.E. Yuksel, "Unmixing of Hyperspectral Data Using Spectral Libraries," International Journal of Environment and Geoinformatics, December 2020 . pdf Link |
12. H. Aytaylan, S.E. Yuksel, "Fully-Connected Semantic Segmentation of Hyperspectral and LiDAR Data," IET Computer Vision, Volume 13, Issue 3, p. 285 – 293, April 2019. (SCI-E) . pdf Link |
11. H. Irmak, G.B. Akar, S.E. Yuksel, "A MAP-Based Approach for Hyperspectral Imagery Super-resolution," IEEE Transactions on Image Processing, Volume: 27, Issue: 6, June 2018. (SCI) . pdf Link |
10. E. Oduncu, S.E. Yuksel, "An Investigation of the Effect of Neighboring Objects to Shadow Areas on Real Data based on the Physical Radiance Model," Journal of the Faculty of Engineering and Architecture of Gazi University, 33:3, pp. 887-904, 2018. (SCI-E) . pdf Link |
9. S.E. Yuksel, M. Boyaci, "The Effect of the LiDAR Sensor on the Success of Shadow Detection from Hyperspectral Data, " Pamukkale Uni. Journal of Engineering Sciences, 24(2), pp. 198-204, 2018. pdf Link |
8. S.E. Yuksel, S. Kucuk, P. Gader, "SPICEE: An Extension to SPICE for Sparse Endmember Estimation in Hyperspectral Imagery," IEEE Geoscience and Remote Sensing Letters, 13(12), 1910-1914, 2016. (SCI-E) . pdf Link |
7. S.E. Yuksel, P. Gader, "Context-based Classification Using a Mixture of Hidden Markov Models with Applications in Landmine Detection," IET Computer Vision, 2016 (accepted). (SCI) . pdf Link |
6. S.E. Yuksel, J. Bolton, P. Gader, "Multiple Instance Hidden Markov Models with Applications to Landmine Detection," IEEE Transactions on Geoscience and Remote Sensing, vol.53, no.12, pp.6766-6775, Dec. 2015. (SCI) . pdf Link |
5. S.E. Yuksel, A. Karakaya, " Fusion of Target Detection Algorithms in Hyperspectral Images, " International Journal of Intelligent Systems and Applications in Engineering, 4(4), 103-110, 2016. pdf Link |
4. S.E. Yuksel " Validation of Registration for Renal Dynamic Contrast Enhanced MRI Imaging, " International Journal of Intelligent Systems and Applications in Engineering, Vol. 4, No.3, 2016. pdf Link |
3. S.E. Yuksel, T. Dubroca, R.E. Hummel, P.D. Gader, "Differential Reflection Spectroscopy: A Novel Method for Explosive Detection," Acta Physica Polonica A, Vol. 123, no. 2, pp. 263- 264, 2013. (SCI-E) . pdf Link |
2. S.E. Yuksel, Joseph N. Wilson, Paul D. Gader, "Twenty Years of Mixture of Experts," IEEE Transactions on Neural Networks and Learning Systems, Vol. 23, issue 8, pp. 1177 - 1193, 2012. (SCI) . pdf Link |
1. S.E. Yuksel, Ayman El-Baz, Aly A. Farag, Mohamed El-Ghar, Tarek Eldiasty and Mohamed A. Ghoneim, "A Kidney Segmentation Framework for Dynamic Contrast Enhanced Magnetic Resonance Imaging," Journal of Vibration and Control, 13 (9 - 10), pp. 1505 -1516, 2007. (SCI-E) pdf Link |
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BOOKS |
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1. S.E. Yuksel , Context-based classification, LAMBERT Academic Publishing, March 22, 2012. ISBN: 978-3-8465-8323-4. LINK |
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BOOK CHAPTERS |
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1. A. El-Baz, A.A. Farag, S.E. Yuksel , M.A. El-Ghar, T. A. Eldiasty and M.A. Ghoneim, " Application Of Deformable Models For The Detection Of Acute Renal Rejection, " in Deformable Models: Biomedical and Clinical Applications (Topics in Biomedical Engineering. International Book Series), J. S. Suri and A. A. Farag Editors, Springer-Verlag, New York, July 2007. ISBN: 978-0-387-31201-9. pdf link |
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CONFERENCES |
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60. I. Belenoglu, M. Yalçin, S. E. Yuksel, A Koz, "Target Detection over Temperature Profiles", ,” IGARSS, 2022. pdf |
59. M. Dede, B. Abaci, S.E. Yuksel, M. Yilmaz, "Mucilage detection from hyperspectral and multispectral satellite data", ,” Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVIII, 2022. pdf |
58. E. Erarslan Altindag, S.E. Yuksel, "Threat detection in x-ray baggage security imagery using convolutional neural networks", ,” Anomaly Detection and Imaging with X-Rays (ADIX) VII, 2022. pdf |
57. A. Koz, I. Belenoglu, S.E. Yuksel and A. Alatan, "Target Rediscovery on Long-wave Infrared Hyperspectral Images using Radiance and Emissivity Data", ,” SET-277 Workshop on Phenomenology and Exploitation of Hyperspectral Sensing within NATO, 14-15 October 2019 – Royal Military Academy, Brussels, Belgium. pdf |
56. 1. S.Kucuk, B. Abaci, M. Dede, S.E.Yuksel and M. Yilmaz, "Analysis and Detection of Mucilage Bloom from Multispectral Satellite Images", ,” IEEE Signal Processing and Communications Applications Conference (SIU), 2022. pdf |
55. M. Eryilmaz, M. Cil, S.R. Akturk, M. Tilegi, A. Yilmaz, S.E. Yuksel, D. Gokcen, "Defect Classification from Electronic Card Images by Deep Learning", ,” IEEE Signal Processing and Communications Applications Conference (SIU), 2022. pdf |
54. S. Kucuk and S.E. Yuksel, "Utility Metric for Subset Dictionary Selection in Semi-Blind Hyperspectral Unmixing", ,” IEEE Signal Processing and Communications Applications Conference (SIU), 2020. pdf |
53. F. Ulger and S.E. Yuksel, "A Standalone Open-Source System for Optical Inspection of Printed Circuit Boards", ,” Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2019. pdf |
52. K. G. Toker and S.E. Yuksel, "Deep canonical correlation analysis for hyperspectral image classification", SPIE Remote Sensing International Symposium, France, 2019. pdf |
51 M. Oturak and S.E. Yuksel, "Transfer learning on GPR data for IED detection", SPIE Security + Defence International Symposium, September 2019. pdf |
50. E. Aydin and S.E. Yuksel, "Transfer and Multitask Learning using Convolutional Neural Networks for Buried Wire Detection from Ground Penetrating Radar Data", SPIE Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIV, Baltimore, 2019. pdf |
49. B. Akdemir and S.E. Yuksel, "Accessible and Automatized Recycling System Using Computer Vision Techniques", X. Türkiye Ulusal Fotogrametri ve Uzaktan Algýlama Birligi (TUFUAB) Teknik Sempozyumu, Aksaray, Turkey, 25-27 Nisan, 2019. pdf |
48. S. Kucuk and S.E. Yuksel, "Unmixing of Hyperspectral Data Using Spectral Libraries", X. Türkiye Ulusal Fotogrametri ve Uzaktan Algilama Birligi (TUFUAB) Teknik Sempozyumu, Aksaray, Turkey, 25-27 Nisan, 2019. pdf |
47. M.E. Yuksel, E. Erdem and S.E. Yuksel, "Deep Learning in Remote Sensing", X. Türkiye Ulusal Fotogrametri ve Uzaktan Algilama Birligi (TUFUAB) Teknik Sempozyumu, Aksaray, Turkey, 25-27 Nisan, 2019. pdf |
46. H. Irmak, G.B. Akar, and S.E. Yuksel, "Image Fusion for Hyperspectral Image Super-Resolution", IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), June 2018. pdf |
45. M. Salman and S.E. Yuksel, "Fusion of hyperspectral image and LiDAR data and classification using deep convolutional neural networks", IEEE Signal Processing and Communications Applications Conference (SIU), Izmir, Turkey, 2-5 May, 2018. pdf |
44. K.G. Toker and S.E. Yuksel, "A greedy algorithm for sparse unmixing", IEEE Signal Processing and Communications Applications Conference (SIU), Izmir, Turkey, 2-5 May, 2018. pdf |
43. E. Aydin and S.E. Yuksel, "Transfer and Multitask Learning Method for Buried Wire Detection via GPR", IEEE Signal Processing and Communications Applications Conference (SIU), Izmir, Turkey, 2-5 May, 2018. pdf |
42. E. Aydin and S.E. Yuksel, "Buried target detection with ground penetrating radar using deep learning method", IEEE Signal Processing and Communications Applications Conference (SIU), Antalya, 2017. pdf |
41. H. Irmak, G. B. Akar, and S.E. Yuksel, "Fusion based resolution enhancement in hyperspectral images", IEEE Signal Processing and Communications Applications Conference (SIU), Antalya, 2017. pdf |
40. O. Torun and S.E. Yuksel, "LiDAR aided hyperspectral images segmentation using schroedinger eigenmaps", IEEE Signal Processing and Communications Applications Conference (SIU), Antalya, 2017. pdf |
39. K. G. Toker, and S.E. Yuksel, "Hyperspectral Unmixing via Convolutional Neural Network", International Workshop on Mathematical Methods in Engineering, April 2017. pdf |
38. H. Aytaylan and S.E. Yuksel, "Semantic Segmentation of Hyperspectral Images with the Fusion of LiDAR data", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, July 2016. pdf |
37. H. Irmak, G.B. Akar and S.E. Yuksel, H. Aytaylan, "Super-resolution Reconstruction of Hyperspectral Images via an Improved MAP-based approach ", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, July 2016. pdf |
36. 8. B. Baydar, G.B. Akar, S.E. Yuksel, S. Ozturk, "Fusion of KLMS and Blob Based Pre-Screener for Buried Landmine Detection Using Ground Penetrating Radar", SPIE Defense and Security: Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI, Baltimore, April 2016. pdf |
35. O. Torun, S.E. Yuksel, "Using k-way Normalized Cuts to Integrate LiDAR and Hyperspectral Imagery for Segmentation", Hyperspectral Imaging and Sounding of the Environment (HISE), 2016. pdf |
34. H. Irmak, G.B. Akar, S.E. Yuksel, "Hyperspectral Imagery Superresolution", IEEE Signal Processing and Communications Applications Conference (SIU), Zonguldak, May, 2016. pdf |
33. A. Karakaya, S.E. Yuksel, "Target Detection in Hyperspectral Images", IEEE Signal Processing and Communications Applications Conference (SIU), Zonguldak, May, 2016. pdf |
32. E. Oduncu, S.E. Yuksel, "Analyzing the Correlation of Sky-View Factor and Shadow Regions in Hyperspectral Data", IEEE Signal Processing and Communications Applications Conference (SIU), Zonguldak, May, 2016. pdf |
31. M. Salman, S.E. Yuksel, "Hyperspectral Data Classification using Deep Convolutional Neural Networks", IEEE Signal Processing and Communications Applications Conference (SIU), Zonguldak, May, 2016. pdf |
30. H. E. Mutlu, S.E. Yuksel, "Hyperspectral Image Classification via Support Vector Data Description", IEEE Signal Processing and Communications Applications Conference (SIU), Zonguldak, May, 2016. pdf |
29. O. Torun, S.E. Yuksel, "Hyperspectral Image Segmentation Using Normalized Cuts", IEEE Signal Processing and Communications Applications Conference (SIU), Zonguldak, May, 2016. pdf |
28. S.Kucuk and S.E. Yuksel, "Comparison of Rx-Based Anomaly Detectors on Synthetic and Real Hyperspectral Data", IEEE workshop on hyperspectral image and signal processing (WHISPERS), Tokyo, June 2015. pdf |
27. H. Irmak, G. B. Akar and S.E. Yuksel, "A Map-Based Approach to Resolution Enhancement of Hyperspectral Images", IEEE workshop on hyperspectral image and signal processing (WHISPERS), Tokyo, June 2015. pdf |
26. A.S. Aydogdu, S.E. Yuksel, L. Ozparlak, P. U. Hatipoglu, "LWIR and MWIR images dimension reduction and anomaly detection with locally linear embedding", IEEE 23rd Signal Processing and Communications Applications Conference (SIU), Malatya, 2015. pdf Link |
25. K.G. Toker, S.E. Yuksel, "Accelerating classification time in Hyperspectral Images", IEEE 23rd Signal Processing and Communications Applications Conference (SIU), Malatya, 2015. pdf Link |
24. M. Oturak, S.E. Yuksel, "Aircraft Recognition from Satellite Images", IEEE 23rd Signal Processing and Communications Applications Conference (SIU), Malatya, 2015. pdf Link |
23. Mustafa Boyaci, S.E. Yuksel, "Locating the shadow regions in LIDAR data: results on the SHARE 2012 dataset", SPIE Defense and Security: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, April 2015. pdf Link |
22. Erdinc Gunes, S.E. Yuksel, "Effect of endmember clustering on proportion estimation: results on the Share 2012 dataset", SPIE Defense and Security: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, April 2015. pdf Link |
21. S.E. Yuksel , G.B. Akar, S. Ozturk, " Fusion of forward-looking infrared camera and down-looking ground penetrating radar for buried target detection", SPIE Defense and Security: Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XX, Baltimore, April 2015. pdf Link |
20. S. Kucuk and S.E. Yuksel, "Hiperspektral Görüntülerde Son Eleman Tespiti", 7. Savunma Teknolojileri Kongresi (SAVTEK) , June 2014. pdf |
19. S.E. Yuksel, "Endmember Detection using Enhanced Constrained Optimization in Hyperspectral Imaging ", IEEE 22nd Signal Processing and Communications Applications Conference (SIU) , pp. 1023-1026, 2014. pdf link |
18. S.E. Yuksel, J. Bolton, P. Gader, "Landmine Detection With Multiple Instance Hidden Markov Models ", IEEE International Workshop on Machine Learning For Signal Processing (MLSP) , pp. 1-6, September 2012. pdf link |
16. S.E. Yuksel, P. Gader, " Mixture of HMM Experts with Applications to Landmine Detection,", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 6852 – 6855, July 2012. pdf Link |
16. S.E. Yuksel, T. Dubroca, R. Hummel, P. Gader, " An automatic detection software for differential reflection spectroscopy,", SPIE Defense, Security, and Sensing: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery, Vol. 8390, pp. 83900B, May 2012. pdf Link |
15. A. Zare, P. Gader, J. Bolton, S.E. Yuksel, T. Dubroca, R. Close, R. Hummel " Sub-pixel Target Spectra Estimation and Detection Using Functions of Multiple Instances", IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) , pp.1-4, June 2011. pdf Link |
14. S.E. Yuksel , T. Dubroca, R. Hummel, P. Gader, "Spectral Analysis for the Detection of Explosives with Differential Reflectometry", Grace Hopper Conference (GHC) , 2011. |
13. S.E. Yuksel , P. Gader, "Variational Mixture of Experts for Classification with applications to landmine detection ", International Conference on Pattern Recognition (ICPR) , pp. 2981- 2984, 2010. pdf |
12. X. Zhang, S.E. Yuksel , P. Gader, J.Wilson, "Simultaneous Feature and HMM Model Learning for Landmine Detection using Ground Penetrating Radar, " Pattern Recognition in Remote Sensing Workshop (PRRS) , pp. 1-4, 2010. pdf |
11. S.E. Yuksel , P.J. Dobbins, " Engineering Education for the Net Generation: A Case Study of How Students Use Resources in Software Engineering, " International Engineering Education Conference (IEEC) , pp. 179-182, 2010. |
10. S.E. Yuksel , G. Ramachandran, P. Gader, J. Wilson, D. Ho, G. Heo, "Hierarchical methods for landmine detection with wideband electro-magnetic induction and ground penetrating radar multi-sensor systems," IEEE International Geoscience and Remote Sensing Symposium (IGARSS) , vol.2, pp. 177-180, 7-11 July 2008. pdf |
9. A. El-Baz, R. Fahmi, S.E. Yuksel, A.A. Farag, W. Miller, M.A. El-Ghar, T. Eldiasty, " A New CAD System for the Evaluation of Kidney Diseases Using DCE-MRI, " Lecture Notes In Computer Science , Medical Image Computing and Computer-Assisted Intervention, Springer, Vol. 4191, pp. 446-453, 2006. (Engineering Index: EI) pdf Link |
8. A. El-Baz, A.A. Farag, R. Fahmi, S.E. Yuksel , M.A. El-Ghar, T. Eldiasty, " Image Analysis of Renal DCE-MRI for the Detection of Acute Renal Rejection," 18th International Conference on Pattern Recognition (ICPR) , (3) 2006, pp. 822-825. pdf |
7. A. El-baz, A.A. Farag, H. A. El Munim, and S.E. Yuksel , "Level Set Segmentation using Statistical Shape Priors, " Computer Vision and Pattern Recognition Workshop (CVPRW), NY, USA, June 17-18, 2006, pp. 78-85. pdf |
6. A. Farag, A. El-Baz, S.E. Yuksel , M.A. El-Ghar, T. Eldiasty, "A Framework for the Detection of Acute Renal Rejection with Dynamic Contrast Enhanced Magnetic Resonance Imaging, " Proceedings of International Symposium on Biomedical Imaging: Nano to Macro (ISBI), Arlington, Virginia, April 2006, pp.418 - 421. pdf |
5. A. El-Baz, A.A. Farag, S.E. Yuksel , M.A. El-Ghar and T. Eldiasty, "A Novel Approach for the Detection of Acute Rejection with Dynamic Contrast Enhanced Magnetic Resonance Imaging ", 13th European Symposium on Urogenital Radiology (ESUR), September 2006. link |
4. S.E. Yuksel , A. El-Baz, and A.A. Farag, "A Kidney Segmentation Framework for Dynamic Contrast Enhanced Magnetic Resonance Imaging, " Mathematical Methods in Engineering International Symposium (MME), April 2006. |
3. A. El-Baz, S.E. Yuksel, H. Shi, A.A. Farag, M.A. El-Ghar, T. Eldiasty, and M. A. Ghoneim " 2D and 3D Shape Based Segmentation Using Deformable Models, " Lecture Notes In Computer Science , Medical Image Computing and Computer-Assisted Intervention, Springer, Vol. 3750, pp. 821-829, 2005. (Engineering Index: EI) pdf Link |
2. S.E. Yuksel , A. El-Baz, A.A. Farag, M.E.A. El-Ghar, T.A. Eldiasty, and M.A. Ghoneim, "Automatic detection of renal rejection after kidney transplantation, " Proc. of Computer Assisted Radiology and Surgery (CARS), Germany, 2005 , pp.773-778. pdf |
1. A. El-Baz, S.E. Yuksel , S. Elshazly, and A. A. Farag, "Non-rigid registration techniques for automatic follow-up of lung nodules, " Proc. of Computer Assisted Radiology and Surgery (CARS), Berlin, Germany, June 22-25, 2005, pp. 1115-1120. pdf |
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DISSERTATION & THESIS |
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1. S.E. Yuksel, "Context-based classification via data-dependent mixtures of logistic and hidden Markov model classifiers", Doctor of Philosophy, University of Florida, Gainesville, FL, August 2011. pdf |
2. S.E. Yuksel, "Image Processing Methods For the Detection of Acute Rejection After Kidney Transplantation", Master of Science, University of Louisville, KY, December 2005. pdf |
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PROJECTS / FUNDED PROPOSALS |
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14. Principal Investigator, ''Mucilage Detection and Tracking from Multi-Band, Multi-Resolution and Multi-Satellite Data'', Tubitak 1001, Project no: 121G085, Oct. 2021 – July 2022. |
13. Consultant, ''Card Comparison with a Portable Device'', Aselsan - REHIS, 2019-2022. |
12. Consultant, ''Algorithm Development for a Hyperspectral Camera'', Stage Gate 11, Schiphol, Netherlands, April 2017- June 2021. |
11. Principal Investigator, ''Fusion of Hyperspectral Imaging with LiDAR Data'', Tubitak 3501 Career Grant, September 2015- 2017. |
10. Consultant, ''Application of Fusion Methods for Target Detection and Classification using Ground Penetrating Radar'', Tubitak Teydeb 1501 Grant, March 2015 – 2017. |
9. Advisor, ''Unmanned Aerial Vehicle Based Multi Spectral Analysis Study'', Tubitak BÝDEB 2209B(2241A) Industry Oriented Undergraduate Thesis Support Program, Project No: 1139B411502220, October 2015 – May 2016. |
8. Consultant, ''IGT-TUYGUN: Advanced Imaging Technologies Project for Hyperspectral Image Analysis and Target Detection'', Funded by SSM & Havelsan Inc., March 2014- August 2015. |
7. Consultant, ''Data Fusion with Network Capabilities for Decision Support'', Tubitak Teydeb 1507 Grant, 2014-2015. |
6. Consultant, ''Image Processing for Data Matrices'', AGE Inc., 2014. |
5. Researcher, ''Standoff Detection of Explosive Materials by Differential Reflectometry'', National Science Foundation (NSF), USA (01/01/2011 – 15/09/2012), PI: Prof. Rolf Hummel. |
4. Researcher, “Autonomous Mine Detection Systems (AMDS)”, Army Research Office, USA, PI: Prof. Paul Gader. |
3. Researcher, “EXP-LA: Collaborative Research: Optimized Multi-algorithm Systems for Detecting Explosive Objects”, PI: Prof. Paul Gader, National Science Foundation (NSF), USA, 09/01/2007 - 08/31/2010. |
2. Researcher, “EXP-LA: Collaborative Research: Optimized Multi-algorithm Systems for Detecting Explosive Objects”, PI: Prof. Paul Gader, National Science Foundation (NSF), USA, 09/01/2007 - 08/31/2010. |
1. Investigating Researcher, “Image Analysis for Identification of Renal Transplant Rejection”, PI’s: Prof. Aly A. Farag and Tarek El-Diasty, National Science Foundation (NSF) Grant, USA, Budget: 60K. Project Duration: 9/1/06 – 9/1/08. *** I was responsible for a significant amount of the preliminary work to enable the success of the original proposal being accepted by the NSF. |
INVITED TALKS |
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5. Securing our borders: from landmine to explosive detection, Middle East Technical University, Ankara, Turkey, 2012. |
4. Advances in landmine detection, invited talk at the CNEL Lab, Department of Electrical and Computer Engineering, University of Florida, 2012. |
3. When databases meet datamining, Appalachian State University, Boone, NC, 2012. |
2. Context-based classification using mixtures of hidden Markov model classifiers, Opera Solutions, San Diego, 2011. |
1. Traditional and variational mixture of experts, ARCON Cooperation, Boston, 2011. |
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POSTER PRESENTATIONS |
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4. S.E. Yuksel , P. Gader, "Evolution of Clusters for Time-Series Data", Grace Hopper Conference, Atlanta, 2010. |
3. S.E. Yuksel , G. Ramachandran, P. Gader, J. Wilson, D. Ho, G. Heo, "Advances in landmine detection using WEMI and GPR data," NSF Research Day, October 13, 2009. |
2. S.E. Yuksel , G. Ramachandran, P. Gader, J. Wilson, D. Ho, G. Heo, "Hierarchical methods for landmine detection with wideband electro-magnetic induction and ground penetrating radar multi-sensor systems," Google Workshop for Women Engineers, 2008. |
1. S.E. Yuksel , A. El-Baz, A.A. Farag and G.C. Postel, "Automatic detection of renal rejection after kidney transplantation," Research!Louisville, Oct.31-Nov.4, 2005 (1st place award) . |
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