Recent Publications

Book

  • K. M. Iftekharuddin and A. A. S. Awwal, Field Guide to Image Processing, SPIE Press, ISBN: 9780819490216, 21 March, 2012. (http://spie.org/x648.html?product_id=923354&origin_id=x647). Reprint: 2016.

Invited Book Chapters

  • M. A. Witherow and K. M. Iftekharuddin, “Fundamentals of 3D Human Face Imaging and Automated Expression Analysis”, Field Guide to Education of Optics: A Tribute to John Greivenkamp, SPIE. In Press (August 21, 2022).
  • K. M. Iftekharuddin, “Brain Tumor Classification Using 3D Convolutional Neural Network”, pp. 335-342, (with L. Pei, L. Vidyaratne, W-W. Hsu, and M. M. Rahman), Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, Editors: Alessandro Crimi and Spyridon Bakas, Revised Selected Papers, Part II, ISSN 0302-9743 ISSN 1611-3349 (electronic), Lecture Notes in Computer Science, ISBN 978-3-030-46642-8 ISBN 978-3-030-46643-5 (eBook), https://doi.org/10.1007/978-3-030-46643-5, 2020.
  • K. M. Iftekharuddin, “Glioblastoma Survival Prediction”, pp. 508-342, (with Z. Shboul, M. Alam, L. Vidyaratne, and L. Pei), Glioblastoma Survival Prediction, Editors: Alessandro Crimi, Spyridon Bakas, Hugo Kuijf, Farahi Keyvan Mauricio Reyes and Theo van Walsam, Revised Selected Papers, Part II, ISSN 0302-9743 ISSN 1611-3349 (electronic), Lecture Notes in Computer Science, ISBN 978-3-030- 11725-2 ISBN 978-3-030- 11726-9 (eBook), https://doi.org/10.1007/978-3-030-11726-9, 2019.
  • K. M. Iftekharuddin, “Fractal-based diagnosis and segmentation of brain tumors”, (with S. M. Reza and A. Islam), The Fractal Geometry of the Brain, Editor: Antonio Di Ieva, Springer, 2016.
  • K. M. Iftekharuddin, “Efficacy of Texture Features for Brain Tumor Segmentation”, (with S. Ahmed), World Scientific, In: Horizons in Cancer Research. Volume 46, ISBN 978-1-61209-922-4, Editor: Hiroto S. Watanabe, Nova Science Publishers, Inc., 2011.
  • K. M. Iftekharuddin, CNS Tumor Prediction Using Gene Expression Data Part I , (with A. Islam, E. Olusegun George, and D. J. Russomanno), Encyclopedia of Artificial Intelligence. Editors: Juan R. Rabuñal, Julian Dorado, Alejandro Pazos, IGI Global, ISBN 978-1-59904-849-9, July 2008.
  • K. M. Iftekharuddin, CNS Tumor Prediction Using Gene Expression Data Part II, (with A. Islam, E. Olusegun George, and D. J. Russomanno), Encyclopedia of Artificial Intelligence. Editors: Juan R. Rabuñal, Julian Dorado, Alejandro Pazos, IGI Global, ISBN 978-1-59904-849-9, July 2008.
  • K. M. Iftekharuddin, A biologically inspired dynamic model for object recognition, (with Y. Li and F. Siddiqui), Neurodynamics of Cognition and Consciousness, Edited by Perlovsky, Leonid I.; Kozma, Robert, Springer, ISBN: 978-3-540-73266-2, 2007
  • K. M. Iftekharuddin, Multiresolution-fractal analysis of medical images, (with C. Parra), Handbook of Neural Engineering edited by Metin Akay, Part I, Chapter 9, Wiley/IEEE Press, ISBN: 978-0-470-05669-1, 2007.
  • K. M. Iftekharuddin, Techniques in Fractal Analysis and Their Applications in Brain MRI, Medical Imaging Systems: Technology and Applications, Edited by Cornelius T. Leondes, Vol. 1: Analysis and Computational Methods, World Scientific Publications, ISBN 981-256-993-6, 2005.
  • K. M. Iftekharuddin, Electronic Imaging: Image post processing and electronic distribution, (with F. Ahmed), Encyclopedia of Modern Optics, edited by Robert D. Guenther, Duncan G. Steel and Leopold Bayvel, Vol. 1, pp. 206-218, Elsevier, Oxford, ISBN 0-12-227600-0, 2004.
  • K. M. Iftekharuddin, Optical interconnection technology, (with M. A. Karim), Advances in Imaging and Electron Physics, Vol. 102, pp. 235-273, Academic Press, Tampa, FL, 1998.

Invited Keynote Talks & Conference Papers

  • K. M. Iftekharuddin, “Recent experience with computational modeling for medical image analysis,” Proc. SPIE 10751, Optics and Photonics for Information Processing XII, 107510K, September, 2018.
  • K. M. Iftekharuddin, “Contemporary deep learning for pattern recognition”, Invited Lecture, 5th International Conference on Signal Processing and Integrated Networks (SPIN), http://amity.edu/spin2018/default.asp, Delhi, India, Feb. 22 -23, 2018.
  • K. M. Iftekharuddin, “Quantitative MR Image Analysis for Brian Tumor”, Invited Keynote Talk, VipImage – VI ECCOMAS Thematic Conference On Computational Vision And Medical Image Processing, https://paginas.fe.up.pt/~vipimage/, Porto, Portugal, October 18-20, 2017.
  • K. M. Iftekharuddin, “Texture analysis for brain tumor”, Global Engage’s 3rd Pathology Congress: USA (http://www.global-engage.com/wp-content/uploads/2017/03/Digital-Pathology-USA.pdf), Chicago July 10 -11, 2017.
  • K. M. Iftekharuddin, M. Alam and L. Vidyaratne, “Contemporary deep recurrent learning for recognition”, Optical Pattern Recognition, SPIE International Conference on Defense and Commercial Sensing, San Jose, April, 2017.
  • S. Reza and K. M. Iftekharuddin, “Multiclass Abnormal Brain Tissue Segmentation Using Texture Features”
  • Proceedings of NCI-MICCAI BRATS ( http://martinos.org/qtim/miccai2013/proc_brats_2013.pdf) , Japan, 2013.
  • K. M. Iftekharuddin, “Texture Models for Brain Tumor Segmentation”, Invited Talk, OSA Optics and Imaging Congress, Quantitative Medical Imaging, June 2013.
  • K. M. Iftekharuddin, “Advances in brain tumor segmentation”, Invited keynote talk, 15th International Conference on Computer and Information Technology (ICCIT’12), Chittagong, Bangladesh, December 2012.
  • S. Ahmed and K. M. Iftekharuddin,” ‘An information theoretic framework for MRI preprocessing, multi-class feature selection and segmentation of PF tumors”, Special Session in Biomedical Signal Processing, IEEE Proc. On Forty sixth Asilomar Conference on Signals, Systems and Computers, pp. xx – xx, 2012.
  • K. M. Iftekharuddin and Y. Li, “A Biologically Inspired Reinforcement Learning Approach to Transformation Invariant Image Recognition”, Invited workshop on Biologically-inspired Computational Vision, IJCNN, Orlando, FL, 2007.
  • K. M. Iftekharuddin, J. Zheng, A. Islam, R. J. Ogg, and F. Laningham, “Brain Tumor Detection in MRI: Methodology and Statistical Validation” Invited paper, Proc. of IEEE Asilomar’06: Special Session in Biomedical Signal and Image Processing, Pacific Grove, CA. Oct. 29 – Nov. 1, 2006.
  • A. Islam, K. M. Iftekharuddin, and E. O. George, “Gene Expression-based CNS Tumor Prototype for Automatic Tumor Detection” Invited paper, Proc. of IEEE Asilomar’06: Special Session in Computer Aided Diagnosis, Pacific Grove, CA. Oct. 29 – Nov. 1, 2006.
  • K. M. Iftekharuddin, “Techniques in Biologically Inspired Computational Vision”, Invited paper, Proc. of SPIE Conference on Optics and Photonics in Global Homeland Security, pp. 109-119, Vol. 5781, Orlando, March 2005.
  • K. M. Iftekharuddin, “Biologically Inspired Computing”, Invited Keynote Paper, 6th International Conference on Computer and Information Technology (ICCIT’03), Dhaka, Bangladesh, December 2003.
  • K. M. Iftekharuddin, “Advances in optical pattern recognition: analysis, algorithms and implementation”, Invited Paper, OSA Annual Meeting, October, Orlando, 2002.
  • K. M. Iftekharuddin “Optical Interconnection Network for Switching”, Invited Paper, ITCon’01, SPIE, August, Denver, 2001.

Journal Papers

  • M. S. Sadique, M.M. Rahman, A. G. Temtam, W. Farzana, and K. M. Iftekharuddin, “Brain Tumor Segmentation using Neural Ordinary Differential Equations with UNet-Context Encoding Network”, In press, 2023.
  • M. A. Witherow, M. D. Samad, N. Diawara, H. Y. Bar, and K. M. Iftekharuddin, “Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features,” arXiv preprint arXiv:2209.08614, 2022.
  • L. Vidyaratne, M. Alam, A. Glandon, A. Shabalina, C. Tenant and K. M. Iftekharuddin,“ “Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information”, IEEE Transaction on Neural Networks and Learning Systems, To Appear, 2022.
  • N. Sadeghzadehyazdi, T. Batabyal, A. Glandon, N. Dhar, B. Familoni, K. M. Iftekharuddin and S. T. Acton, “Using Skeleton Correction to Improve Flash Lidar-based Gait Recognition”, Applied Artificial Intelligence, DOI: 10.1080/08839514.2022.2043525, 2022
  • L. Vidyaratne, A. Carpenter, T. Powers, C. Tennant, K. M. Iftekharuddin, Md M. Rahman, and A. S Shabalina, “Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification at Jefferson Laboratory”, Frontiers in Artificial Intelligence, section Big Data and AI in High Energy Physics, https://doi.org/10.3389/frai.2021.718950. 03 January 2022.
  • Z. A. Shboul, N. Diawara, A. Vossough, J. Y Chen and K. M. Iftekharuddin. “Joint Modeling of RNAseq and Radiomics Data for Glioma Molecular Characterization and Prediction”, Frontiers in Medicine, section Translational Medicine, https://doi.org/10.3389/fmed.2021.705071. 19 August 2021.
  • L. Pei, K. A Jones, Z. A. Shboul, J. Y Chen and K. M. Iftekharuddin, “Deep Learning for Glioma Classification and Grading Using Pathology and Molecular Data”, Frontiers in Oncology, section Neuro-Oncology and Neurosurgical Oncology, Frontiers in Oncology, https://doi.org/10.3389/fonc.2021.668694. 01 July 2021.
  • C. Dolph, C. Minwalla, L. J. Glaab, M. J. Logan, B. D. Allen and K. M. Iftekharuddin, “Detection and Tracking of Aircraft from Small Unmanned Aerial Systems”, Journal of Aerospace Information Systems, https://doi.org/10.2514/1.I010911. Published Online:13 Apr 2021.
  • N. Petrick, S. Akbar, K. H. Cha, S. Nofech-Mozes, B. Sahiner, M. A. Gavrielides, J. Kalpathy-Cramer, K. Drukker, A. L. Martel, BreastPathQ Challenge Group, “SPIE-AAPM-NCI BreastPathQ Challenge: An image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment”, Journal of Medical Imaging, 8(3):034501. doi: 10.1117/1.JMI.8.3.034501. Epub. May 8, 2021.
  • L. Pei, L. Vidyaratne, M. M. Rahman, and K. M. Iftekharuddin, “Context Aware Deep Learning for Brain Tumor Segmentation, Subtype Classification, and Survival Prediction Using Radiology Images”, Nature Scientific Reports, 10, 19726. https://doi.org/10.1038/s41598-020-74419-9, 2020.
  • M. Elbakary, H. Abdelghaffar, K. Afrifa, H. Hesham, M. Cetin, K. M. Iftekharuddin, “Aerosol tracking using lidar-based atmospheric profiling and Bayesian estimation”, Optics and Laser Technology, 128, 106248, 2020.
  • C. Tennant, A. Shabalina, A. Carpenter, L. Vidyaratne and K. M. Iftekahurdidn, “Superconducting Radio-Frequency Cavity Fault Classification Using Machine Learning at Jefferson Laboratory”, Phys. Rev. Accel. Beams, 23, 114601 – 30 November 2020.
  • M. Alqawba, N. Diawara, K. Afrifa, M. Cetin, and K. M. Iftekahruddin, “Statistical analysis and comparison of optical classification of atmospheric aerosol lidar data”. Trans Eng Comput Sci. 2020;2(1):119.
  • M. Alam, M. Samad, L. Vidyanathane, A. Glandon, and K. M. Iftekharuddin, “Survey on Deep Neural Networks in Speech and Vision Systems”, Neurocomputing, Vol. 417, pp. 302-321, 2020.
  • Z. Shboul, J. Chen, and K. M. Iftekharuddin, “Prediction of Molecular Mutations in Diffuse Low-Grade Gliomas using MR Imaging Features”, Nature Scientific Reports, 10, Article number: 3711, 2020.
  • L. Pei, S. Bakas, A. Vossough, S. M. S. Reza, C. Davatzikos, and K. M. Iftekharuddin, “Longitudinal brain tumor segmentation prediction in MRI using feature and label fusion”, Biomedical Signal Processing & Control, Vol. 55, p. 101648, 2020.
  • N. Kumar, R. Verma, D. Anand, Y. Zhou, O. F. Onder, E. Tsougenis, H. Chen, P-A. Heng, J. Li, Z. Hu, Y. Wang, N. A. Koohbanani, M. Jahanifar, N. Z. Tajeddin, A. Gooya, N. Rajpoot, X. Ren, S. Zhou, Q. Wang, D. Shen, C-K Yang, C-H. Weng, W-H. Yu, C-Y. Yeh, S. Yang, S. Xu, P. H. Yeung, P. Sun, A. Mahbod, G. Schaefer, I. Ellinger, R. Ecker, O. Smedby, C. Wang, B. Chidester, T-V. Ton, M-T. Tran, J. Ma, M. N. Do, S. Graham, Q. D. Vu, J. T. Kwak, A. Gunda, R. Chunduri, C. Hu, X. Zhou, D. Lotfi, R. Safdari, A. Kascenas, A. O’Neil, D. Eschweiler, J. Stegmaier, Y. Cui, B. Yin, K. Chen, X. Tian, P. Gruening, E. Barth, E. Arbel, I. Remer, A. Ben-Dor, E. Sirazitdinova, M. Kohl, S. Braunewell, Y. Li, X. Xie, L. Shen, J. Ma, K. D. Baksi, M. A. Khan, J. Choo, A. Colomer, V. Naranjo, L. Pei, K. M. Iftekharuddin, K. Roy, D. Bhattacharjee, A. Pedraza, M. G. Bueno, S. Devanathan, S. Radhakrishnan, P. Koduganty, Z. Wu, G. Cai, X. Liu, Y.Wang, and A. Sethi, “A Multi-organ Nucleus Segmentation Challenge”, IEEE Transactions on Medical Imaging, Vol. 99, p. 1, 2019.
  • Z. A. Shboul, M. Alam, L. Vidyaratne, L. Pei, M. Elbakary, and K. M. Iftekharuddin, “Feature-guided Deep Radiomics for Glioblastoma Patient Survival Prediction”, Frontiers in Neuroscience, 20 September, https://doi.org/10.3389/fnins.2019.00966, 2019.
  • M. Samad, N. Diawara, C. Taylor, J. Bobzien, J. Harrington, and K. M. Iftekharuddin, “A Pilot Study to Identify Autism Related Traits in Spontaneous Facial Actions Using Computer Vision”, Research in Autism Spectrum Disorders, Vol. 65, pp. 14-24, 2019.
  • S. M. S. Reza, M. D. Samad, Z. A. Shboul, K. A. Jones, and K. M. Iftekharuddin, “Glioma grading using structural magnetic resonance imaging and molecular data”, Journal of Medical Imaging, Apr;6(2):024501. doi: 10.1117/1 2019.
  • M. Alam, L. Vidyaratne and K. M. Iftekharuddin, “Novel Deep Generative Simultaneous Recurrent Model for Efficient Representation Learning Systems Neural Networks”, Special Issue on “Deep Reinforcement Learning”, Neural Networks, pp. 12-22, 2018. (Acceptance Rate: 18%).
  • M. A. Witherow, C. Sazara, I. M. Winter-Arboleda, M. I. Elbakary, M. Cetin and K. M. Iftekharuddin, “Floodwater detection on roadways from crowdsourced images”, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization”, DOI: 10.1080/21681163.2018.1488223, 2018.
  • M. Samad, N. Diawara, J. Bobzien, J. Harrington, M. Witherow, and K. M. Iftekharuddin, ” A Feasibility Study of Autism Behavioral Markers in Spontaneous Facial, Visual, and Hand Movement Response Data,” IEEE Transactions on Neural Systems & Rehabilitation Engineering, Vol. 26(2), pp. 353-361, 2018.
  • M. Alam, L. Vidyaratne and K. M. Iftekharuddin, “Sparse Simultaneous Recurrent Deep Learning for Robust Facial Expression Recognition,” IEEE Transaction on Neural Networks and Learning Systems, vol. PP, no. 99, pp. 1-12, 2018.
  • P. Y. Kim, P. Davey, G. Hollo, K. M. Iftekharuddin, “Selective Fusion of Structural and Functional Data for Glaucoma Detection and Progression Prediction “, Journal for Modeling in Ophthalmology, Vol. 3, pp. 82-99, 2017.
  • L. Vidiyaratne and K. M. Iftekharuddin, “Real-Time Epileptic Seizure Detection Using EEG”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 25, pp: 2146-2156, 2017.
  • O. Maier, B. H. Menze, J. von der Gablentz, L. Häni, M. P. Heinrich, M. Liebrand, S. Winzeck, A Basit, P. Bentley, L. Chen, D. Christiaens, F. Dutil, K. Egger, C. Feng , B. Glocker , M. Götz, T. Haeck,, H-L. Halme, M, Havaei, K. M. Iftekharuddin, P-M Jodoin, K. Kamnitsas, E. Kellner, A. Korvenoja, H. Larochelle, C. Ledig, J-H Lee, F. Maes., Q. Mahmood, K. H. Maier-Hein, R. McKinley, J Muschelli , C. Pal , L. Pei , J. R. Rangarajan, S. M. S. Reza , D. Robben, D. Rueckert, E. Salli, P. Suetens, C-Wei Wang, M. Wilms , J. S. Kirschke, U. M. Krämer, T. F. Münte, P. Schramm, R. Wiest, H. Handels, M. Reyes , “ISLES 2015 – A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI”, To Appear, Vol. 35, pp. 250-269, Medical Image Analysis, 2017.
  • L. Vidiyaratne and K. M. Iftekharuddin, “Real-Time Epileptic Seizure Detection Using EEG”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, To appear, 2017.
  • E. E. Bron, M. Smits, W. M van der Flier; H. Vrenken; F. Barkhof; P. Scheltens; J. M Papma; R. M Steketee; C. M. Orellana; R. Meijboom; M. Pinto; J. R Meireles; C. Garrett; A. J Bastos-Leite; A. Abdulkadir; O. Ronneberger; N. Amoroso; R. Bellotti; D. Cárdenas-Peña; A. M Álvarez-Meza; C. V Dolph; K. M. Iftekharuddin; S. F Eskildsen; P. Coupé; V. S Fonov; K. Franke; C. Gaser; C. Ledig; R. Guerrero; T. Tong; K. R Gray; E. Moradi; J. Tohka; A. Routier; S. Durrleman; A. Sarica; G. Di Fatta; F. Sensi; A. Chincarini; G. M Smith; Z. V Stoyanov; L. Sørensen; M. Nielsen; S. Tangaro; P. Inglese; C. Wachinger; M. Reuter; J. C van Swieten; W. J Niessen; and S. Klein, “Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge”, To appear, Neuroimage, 2016.
  • M. Samad and K. Iftekharuddin, “Frenet frame-based generalized space curve representation for pose invariant Classification and Recognition of 3D Face”. Vol. 46, pp. 522-533, IEEE Trans. on Human-Machine Systems, 2016.
  • E. Oguslu, G. Zhou, Z. Zheng, K. Iftekharuddin, and J. Li, “Sparse coding based dense feature representation model for hyperspectral image classification”, Journal of Electronic Imaging, Vol. 24(6), 063009, 2015.
  • M. D. Samad, J. L. Bobzien , J. W. Harrington, and K. M. Iftekharuddin, “Non-intrusive Optical Imaging of Face to Probe Physiological Traits in Autism Spectrum Disorder”, Optics and Laser Technology, Vol. 77, pp. 221-228, 2015.
  • B. H. Menze, A. Jakaby, S. Bauery, J. Kalpathy-Cramery, K. Farahaniy, J. Kirbyy,Y. Burreny, N. Porzy, J.S. Slotboomy, R. Wiesty, L. Lancziy, E. Gerstnery, M.-A. Webery, T. Arbel, B. B. Avants, N. Ayache, P. Buendia, D. L. Collins, N. Cordier, J. J. Corso, A. Criminisi, T. Das, H. Delingette, C. Demiralp, C. R. Durst, M. Dojat, S. Doyle, J. Festa, F. Forbes, E. Geremia, B. Glocker, P. Golland, X. Guo, A.Hamamci, K. M. Iftekharuddin, R. Jena, N. M. John,. E. Konukoglu, D. Lashkari, J. A. Mariz, R. Meier, S. Pereira, D. Precup, S. J. Price, T. R. Raviv, S. M. S. Reza, M. Ryan, D. Sarikaya, L. Schwartz, H-C. Shin, J. Shotton, C. A. Silva, N. Sousa, N. K. Subbanna, G. Szekely, T. J. Taylor, O. M. Thomas, N. J. Tustison, G. Unal, F. Vasseur, M. Wintermark, D. H. Ye, L. Zhao, B. Zhao, D. Zikic, M. Prastaway, M. Reyesyz, K. V. Leemput, “The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)”, IEEE Transactions On Medical Imaging, Vol. 34, pp. 1993-2024, 2015.
  • J. Flora, D. Lochtefeld, D. Bruening and K. M. Iftekharuddin, “Improved Gender Classification Using Non- Pathological Gait Kinematics in Full Motion Video”, IEEE Transactions on Human-Machine Systems, Vol. 45, No. 3, pp. 304-314, 2015.
  • S. Sen, N. Dawara, and K. M. Iftekharuddin, “Statistical Pattern Recognition Using Gaussian Copula”, Journal of Statistical Theory and Practice, DOI: 10.1080/15598608.2015.1008607, Feb. 2015.
  • M. I. Elbakary and K. M. Iftekharuddin, “Shadow Detection of Man-Made Buildings in High-Resolution Panchromatic Satellite Images”, IEEE Transaction on Geoscience and Remote Sensing, Vol. 52, No. 9, pp. 5374-5386, 2014.
  • A. Islam, S. Reza, and K. M. Iftekharuddin, “Multi-fractal texture estimation for detection and segmentation of brain tumors,” IEEE Transactions on Biomedical Engineering, Vol. 60(11), pp. 3204-3215, 2013. (Consistently ranked within among the 25 most downloaded articles since November 2013: http://ieeexplore.ieee.org/xpl/topAccessedArticles.jsp?punumber=10).
  • A. Yousef, K. M. Iftekharuddin, M. A. Karim, “Shoreline extraction from LiDAR DEM data and aerial images”, Optical Engineering, Optical Engineering, 2013; 53(1):011006. doi: 10.1117/1.OE.53.1.011006.
  • A. Beghdadi, M.-C. Larabi, A. Bouzerdoum, K.M. Iftekharuddin, “A survey of perceptual image processing methods”, Signal Processing: Image Communication, Vol. 28, Issue 8, pp. 811-831, 2013. (2nd most downloaded paper: http://www.journals.elsevier.com/signal-processing-image-communication/most-downloaded-articles/)
  • A. Beghdadi, A. Bouzerdoum, K. M. Iftekharuddin, M.-C. Larabi, “Biologically inspired approaches for visual information processing and analysis”, Signal Processing: Image Communication, Vol. 28, Issue 8, pp. 809-810, 2013.
  • M. M. Khan, K. M. Iftekharuddin, E. McCracken, K. Islam; S. Bhurtel, L. Wang and R. Kozma, “Autonomous Wireless Radar Sensor Mote for Target Material Classification”, Digital Signal Processing, Vol. 23(3), pp. 722-735, 2013.
  • P. Y. Kim, K. M. Iftekharuddin, P. G. Davey, M. Tóth, A. Garas, G. Holló, and E. A. Essock, “Novel Fractal Feature-Based Multiclass Glaucoma Detection and Progression Prediction”, IEEE Journal of Biomedical and Health Informatics, Vol.17(2), pp.269-276, 2013.
  • R. Kozma, L. Wang, K. M. Iftekharuddin, E. McCracken, M. Khan, K. Islam, S. R Bhurtel, R. M. Demirer, “Multi-Modal Radar-Enabled Sensor System Integrating COTS Technology for Surveillance and Tracking”, Sensors, Vol. 12(2), pp.1336-1351, 2012.
  • K. M. Iftekharuddin, “Transformation Invariant On-Line Target Recognition”, IEEE Transactions on Neural Networks, Vol. 22, pp. 906-918, 2011.
  • S. Ahmed, K. M. Iftekharuddin and A. Vossough, “Efficacy of Texture, Shape, and Intensity Feature Fusion for Posterior-Fossa Tumor Segmentation in MRI”, IEEE Transactions on Information Technology in Biomedicine, Vol. 15, pp. 206-213, 2011.
  • A. Islam, K. M Iftekharuddin and O. E George, Gene expression based prototype for automatic tumor prediction”, BMC Bioinformatics, 12 (Suppl 7):A15doi:10.1186/1471-2105-12-S7-A15, 2011
  • F. Julia, K. M. Iftekharuddin and A. Islam, “Dialog Act Classification Using Acoustic and Discourse Information of MapTask Data”, International Journal of Computational Intelligence and Applications, Vol. 9, No. 4, pp. 289–311, 2010.
  • Y. Ren, K. M. Iftekharuddin, and E. White, “Large-Scale Pose Invariant Face Recognition Using Cellular Simultaneous Recurrent Network”, Applied Optics, Special Issue in convergence in Optical and Digital Pattern Recognition, Vol. 49, p. B92, 2010.
  • F. H. C. Tivive, A. Bouzerdoum, S. L. Phung and K. M. Iftekharuddin, “Adaptive Hierarchical Architecture for Visual Recognition, Applied Optics, Special Issue in convergence in Optical and Digital Pattern Recognition, Vol. 49, p. B2, 2010.
  • A. Awwal, K. Iftekharuddin, M. A. Karim, M. Neifeld and D. A Stork, “Convergence in Optical and Digital Pattern Recognition”, Applied Optics, Vol. 49, p. DPR1, 2010.
  • J. Shaik and K. M. Iftekharuddin, “Automatic Detection and Tracking of Targets in Infrared Images”, Optics & Laser Technology, Vol. 4, pp. 832–842, 2009.
  • K. M. Iftekharuddin, J. Zheng, M. A. Islam, and R. J. Ogg, “Fractal-based Brain Tumor Detection in Multimodal MRI”, Invited Paper for special issue on Emergent Applications of Fractals and Wavelets in Biology and Bio-medicine in Applied Mathematics and Computation, Vol. 207, pp. 23-42, 2009.
  • K. M. Iftekharuddin and N. Frigui, “A Robust Spatial Domain Binary Signature Watermarking Technique”, International Journal of Tomography and Statistics, Vol. 11(W09), pp. 13- 34, 2008.
  • K. M. Iftekharuddin, Y. Li and F. Siddiqui, “Biologically inspired computational model for automatic target recognition, ” SIG Newsletter of International Neural Networks Society (INNS), Vol. 5, No. 1, pp. 7-10, 2007.
  • J. Zook and K. M. Iftekharuddin, “Statistical analysis of fractal-based techniques in brain tumor detection”, Magnetic Resonance Imaging, Vol. 23(5), pp. 671-678, 2005.
  • K. M. Iftekharuddin and M. A Razzaque, “Analytical derivation of distortion constraints and their verification in a learning vector quantization-based target recognition system”, Vol. 44, p. 067202, Optical Engineering, 2005.
  • J. S. Shaik and K. M. Iftekharuddin, “Detection and tracking of rotated and scaled targets by use of Hilbert-wavelet transform”, Applied Optics, Vol. 42, pp. 4718-4735, 2003.
  • A. A. S. Awwal, K. M. Iftekharuddin, M. A. Karim and R. D. Juday, “Optical pattern recognition algorithms, architectures and applications: introduction to feature issue”, Guest editorial, Applied Optics, Vol. 42, pp. 4647-4687, 2003.
  • K. M. Iftekharuddin, W. Jia and R. Marsh, “A fractal analysis of tumor in brain MR images”, Machine Vision and Application, Vol. 13, pp. 352-362, 2003.
  • K. M. Iftekharuddin, “Harmonic wavelet joint transform correlator: analysis, algorithm and application to image de-noising”, Optical Engineering, Vol. 41, pp. 3307-3315, 2002.
  • K. M. Iftekharuddin, C. Rentala and A. Dani, “Determination of exact rotation angle and classification for rotated images”, Vol. 34, pp. 313-327, Optics and Laser Technology, 2002.
  • A. A. S. Awwal and K. M. Iftekharuddin “Optical Computing Systems, Materials and Devices”, Guest Editorial, Vol. 40, pp. 2369 – 2370, Optical Engineering, November 2001.
  • K. M. Iftekharuddin, A. A. S. Awwal and M. A. Salam, “A Signed Digit Adder Using Electronically Addressable Spatial Light Modulator”, Vol. 40, pp. 2442 – 2445, Optical Engineering, November 2001.
  • K. M. Iftekharuddin and A. A. S. Awwal, “Optical Computing Arithmetic and Systems”, Guest Editorial, Optics and Laser Technology, Vol. 38, pp. 389 – 390, September, 2000.
  • K. M. Iftekharuddin and M. A. Razzaque, “Modified signed-digit trinary addition using synthetic wavelet filter”, Optics and Laser Technology, Vol. 38, pp. 413 – 420, September, 2000.
  • K. M. Iftekharuddin, “Orthogonal wavelets in nonlinear speckle reduction for improved target recognition”, Optical Engineering, Vol. 39, pp. 1211-1217, 2000.
  • A. A. S. Awwal and K. M. Iftekharuddin, “Guest Editorial: Optical Engineering Special Issue on Computer Arithmetic for Optical Computing,” Optical Engineering, pp. 400-402, Vol. 38, March 1999.
  • K. M. Iftekharuddin, A. A. S. Awwal and A. M. Chowdhury, “Characterization of Intensity-Coded Multivalued Logic Circuit Implementation”, Vol. 38, pp. 508-513, Optical Engineering (Special section on computer arithmetic for optical computing), March, 1999.
  • A. A. S. Awwal and K. M. Iftekharuddin, “A Graphical Approach for Multiple Valued Logic Minimization”, Vol. 38, pp. 462-467, Optical Engineering (Special section on computer arithmetic for optical computing), March 1999.
  • S. Diab, M. A. Karim and K. M. Iftekharuddin, “Scale and translation-invariant detection of targets varying in fine details”, Optical Engineering, (Special issue on Recognition Techniques), Vol. 37, pp. 876 – 883, 1998.
  • K. Das, K. M. Iftekharuddin, and M. A. Karim, “Heterodyne detection using hexagonal pixel geometry”, Applied Optics, Vol. 36, pp. 7023 -7027, 1997.
  • K. M. Iftekharuddin, M. A. Karim and A. A. S. Awwal, “Optimization of Amplitude-Modulated Inverse filter”,J. of Mathl. Comput. Modeling, Vol. 24, pp. 103-112, 1996.
  • K. M. Iftekharuddin, T. Tuthill, M. A. Karim and K. Jemili, “Wavelet pre-processed amplitude modulated phase-only filter for recognition applications”, Optical Engineering, Vol. 35, pp. 2088-2093, 1996.
  • K. M. Iftekharuddin, F. Ahmed and M. A. Karim, “Amplitude-coupled MACE for automatic target recognition applications”, Optical Engineering, Vol. 35, pp. 1009-1014, 1996.
  • K. M. Iftekharuddin, M. A. Karim, P. W. Eloe and A. A. S. Awwal, “Discritized amplitude-modulated phase-only filter”, Optics and Laser Technol., (Special issue on optical image processing), Vol. 28, pp. 93-100, 1996.
  • K. M. Iftekharuddin, T. Schechinger, K. Jemili and M. A. Karim, “A feature-based wavelet neural net for optical character recognition”, Optical Engineering, (Special section on Remote Sensing and Image processing), Vol. 35, pp. 3143 – 3150, 1995.
  • M. S. Alam, M. A. Karim, S. H. Zheng and K. M. Iftekharuddin, “Study of field-of-view overlap for night vision application “, Microwave and Optics Technol. Lett., Vol. 8, pp. 190-193, 1995.
  • K. M. Iftekharuddin, K. Jemili and M. A. Karim, “Comparison between optical interconnection processors: Folded perfect shuffle and 3-D butterfly”, Optics and Laser Technol. (Special issue on Optical Computing), Vol. 26, pp. 265 – 270, 1994.
  • K. M. Iftekharuddin and M. A. Karim, “Butterfly interconnection network: design of multipliers, flip-flop and shift register”, Applied Optics (Special issue on Optical Computing), Vol. 33, pp. 1457-1462, 1994.
  • K. M. Iftekharuddin and M. A. Karim, “Detection of noise-free and noisy signal: effect of different staring focal-plane-array pixel geometry”, Optical Engineering (Special section on tracking, pointing and acquisition), Vol. 32, pp. 2649-2656, 1993.
  • K. M. Iftekharuddin and M., A. Karim, “Heterodyne detection using a diffraction-free beam: background noise effect”, Applied Optics, Vol. 32, pp. 3144-3148, 1993.
  • K. M. Iftekharuddin, A. A. S. Awwal and M. A. Karim, “Gaussian-to-bessel beam transformation using a split refracting system”, Applied Optics, Vol. 32, pp. 2252-2256, 1993.
  • M. S. Alam, K. M. Iftekharuddin and M. A. Karim, “Polarization-encoded optical shadow casting: edge detection using Roberts operator”, Microwave and Optics Technol. Lett., Vol. 6, pp. 190-193, 1993.
  • K. M. Iftekharuddin and M. A. Karim, “Heterodyne detection using a diffraction-free beam: tilt and offset effects”, Applied Optics, Vol. 31, pp. 4853-4856, 1992.
  • M. Samad, N. Diawara, J. Bobzien, J. Harrington, and K. Iftekharuddin, “Behavioral markers in facial and visual responses for Autism Spectrum Disorders.” IEEE Trans. on Cognitive and Developmental Systems, (Under Review).
  • M. Samad, J. Bobzien, J. Harrington, and K. Iftekharuddin, Quantification of Oddity in Spontaneous Facial Actions of Individuals with Neurodevelopmental Disorders IEEE transaction on Affective Computing, (Under preparation).

Published Book Review

  • Pattern Recognition and Neural Networks, B. D. Ripley; Cambridge University Press, New York, NY., Optics and Photonics News, pp. 66, Vol. 7, Oct. 1996.

Technical Reports

  • Collaborative Research: High Performance Cellular Simultaneous Recurrent Network based Recognition, Year 2 Report (Award Number: 1310353), NSF, May 2015.
  • Collaborative Research: High Performance Cellular Simultaneous Recurrent Network based Pattern Recognition, Year 1 Report (Award Number: 1310353), NSF, April 2014.
  • Full Motion Video Analysis for Improved Gender Classification Using Non- Pathological Gait Kinematics, ASEE/AFOSR Summer Faculty Fellowship Program (SFFP), Final Report, September, 2013.
  • Overhead Image Segmentation, Final Report, Lawrence Livermore National Laboratory, September 2013.
  • Digital Receiver Technology, Final Report, US Navy, July 2013.
  • Multiresolution-Fractal Modeling of Brain Tumor, Year 1 report, NIH, Grant#1R15CA115464, June 2011.
  • Improving medical utility of fractal-based techniques in detecting small cancerous and hard-to-detect abnormalities, Final report, Faculty Research Grant, August, 2008.
  • Grid-to-grid neural networks for innovative pose invariant face recognition, Year 1 report, NSF, Grant # ECCS-0715116, February, 2008.
  • A multiresolution wavelet-fractal approach to abnormal tissue identification in brain MR images, Year 3 report to the Whitaker Foundation, Grant# RG-01-0125, November, 2004.
  • A multiresolution wavelet-fractal approach to abnormal tissue identification in brain MR images, Year 2 report to the Whitaker Foundation, Grant# RG-01-0125, November, 2003.
  • Developing Effective Strategies and Performance Metrics for Automatic Target Recognition, Grant# 43004-CI, Interim Report to the ARO, September, 2003.
  • A multiresolution wavelet-fractal approach to abnormal tissue identification in brain MR images, Year 1 report to the Whitaker Foundation, Grant# RG-01-0125, November, 2002.
  • Attention-driven Object Recognition, Final Report, AFOSR Grant# F33615-01-C-1985, Wright Patterson AF Lab, Sensor Directorate, December, 2001.
  • A biologically inspired object recognition model, Final Summer Faculty Report, Wright Patterson AF Lab, Sensor Directorate, August 2000.
  • Data analysis and algorithm development for smart bearings – phase II, Interim Report, Timken Research, June 2000.
  • A fractal analysis of tumor in brain MR images, Final Report, NIH SEED IDeA grant, March, 2000.
  • A proposal for cross-compiler integration in improvement of the course: Computer Organization (COMP/EE 374), Final Report, NDSU Faculty Development committee, December 1999.
  • The Application of Neural Networks to Traffic Engineering, Advanced Traffic Analysis Center – Phase I, Upper Great Plains Transportation Institute (UGPTI), North Dakota State University, October, 1999.
  • Data analysis and algorithm development for smart bearings – phase I, Annual Report, Timken Research, December 1999.
  • Data collection and prototype algorithm development for condition monitoring of automotive bearing, NDE and Sensor Technology – Timken Research, Project No. 0010126, August 1998.

Conference Publications (Note: All IEEE and SPIE Medical Imaging conference papers are peer reviewed)

  • F. Ilgin, M. A. Witherow, K. M. Iftekharuddin. “Comparison of machine learning methods for classification of alexithymia in individuals with and without autism from eye-tracking data.” Proc. SPIE Optics+Photonics 2023, August 20-24, 2023, San Diego, California, USA
  • M. M. Rahman, L. Vidyaratne, A. Carpenter,  C. Tennant,  and K. Iftekharuddin, “Uncertainty Aware Deep Learning for Fault Prediction Using Multivariate Time Series Signals”,  International Joint Conference on Neural Networks (IJCNN), June 18 – 23, 2023,  Queensland, Australia.
  • J. Zalameda, M. Witherow, A. Glandon, J. Aguilera, K. M. Iftekharuddin. “Attack Assessment and Augmented Identity Recognition for Human Skeleton Data.” International Joint Conference on Neural Networks (IJCNN), June 18 – 23, 2023,  Queensland, Australia.
  • A. Glandon, J. Zalameda, K. M. Iftekharuddin. “Transfer learning using infrared and optical full motion video data for gender classification.” In Press (May 30, 2023). SPIE, 2023.
  • J. Zalameda, A. Glandon, K. M. Iftekharuddin. “Adaptive critic network for person tracking using 3D skeleton data”. In Press (May 30, 2023). SPIE, 2023.
  • M. S. Sadique, W. Farzana, A. Temtam, and K. M. Iftekharuddin “Class activation mapping and uncertainty estimation in multi-organ segmentation”, Proc. SPIE 12465, Medical Imaging 2023: Computer-Aided Diagnosis, 124650V (7 April 2023); https://doi.org/10.1117/12.2655508
  • A. Temtam, L. Ma, F. Gerard Moeller, M. S. Sadique, and K. M. Iftekharuddin. “Opioid use disorder prediction using machine learning of fMRI data.” In Medical Imaging 2023: Computer-Aided Diagnosis, vol. 12465, pp. 142-146. SPIE, 2023.
  • M. M. Rahman, K. M. Iftekharuddin, A. Carpenter, T. S. McGurkin, C. Tennant, L. S. Vidyaratne. “Real-Time Cavity Fault Prediction in CEBAF Using Deep Learning”, NAPAC 2022, Albuquerque, NM, USA, 07-12 August 2022, doi:10.18429/JACoW-NAPAC2022-WEPA29.
  • M. S. Sadique , M. M. Rahman, W. Farzana, A. Glandon, A. G. Temtam, and K. M. Iftekharuddin. “Abdominal Multi-Organ Segmentation of CT Images with nnUNet”, Consortium paper of Abdominal Multi-Organ Segmentation Challenge, 2022.
  • M. S. Sadique, M. M. Rahman, W. Farzana, A. Glandon, A. G. Temtam, and K. M. Iftekharuddin. “Automated Abdominal Multi-organ Segmentation using Cross-Modality (CT and MRI) with nnUNet?”, Consortium paper of Abdominal Multi-Organ Segmentation Challenge, 2022.
  • W. Farzana, A. G. Temtam, Z. A. Shboul, M. M. Rahman, M.S. Sadique, K.M. Iftekharuddin. (2022). Radiogenomic Prediction of MGMT Using Deep Learning with Bayesian Optimized Hyperparameters. In: Crimi, A., Bakas, S. (eds) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2021. Lecture Notes in Computer Science, vol 12963. Springer, Cham. https://doi.org/10.1007/978-3-031-09002-8_32
  • J. G. Zalameda, B. Kruse, A. M. Glandon, M. A. Witherow, S. Shetty, and K. M. Iftekharuddin, “Generalized Adversarial and Hierarchical Co-occurrence Network based Synthetic Skeleton Generation and Human Identity Recognition”, International Joint Conference on Neural Networks. In Press (July 23, 2022).
  • M. A. Witherow, M. D. Samad, N. Diawara, and K. M. Iftekharuddin, “Transfer Learning and Facial Landmark Feature Fusion for Classification of Child Facial Expressions,” SPIE Optical Engineering + Applications, 2022, OPO. In Press (August 21, 2022).
  • M. S. Sadique, A. Temtam, E. Lappinen, and K. M. Iftekharuddin. “Radiomic texture feature descriptor to distinguish recurrent brain tumor from radiation necrosis using multimodal MRI.” In Medical Imaging 2022: Computer-Aided Diagnosis, vol. 12033, pp. 654-660. SPIE, 2022.
  • W. Farzana, Z. A. Shboul, A. Temtam, and K. M. Iftekharuddin. “Uncertainty estimation in classification of MGMT using radiogenomics for glioblastoma patients.” In Medical Imaging 2022: Computer-Aided Diagnosis, vol. 12033, pp. 365-371. SPIE, 2022.
  • A. Temtam, E. J Cruz, H. Okhravi, D. Strock, M. Sternick and K. M. Iftekharuddin1, “Advanced Machine Learning Approach to Increase Diagnostic Accuracy in Atypical Alzheimer’s Disease Cases” Accepted to Alzheimer’s Association International Conference (AAIC) 2022.
  • M. M. Rahman, Sadique, M.S., Temtam, A.G., Farzana, W., Vidyaratne, L., Iftekharuddin, K.M. (2022). “Brain Tumor Segmentation Using UNet-Context Encoding Network”. In: Crimi, A., Bakas, S. (eds) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2021. Lecture Notes in Computer Science, vol 12962. Springer, Cham. https://doi.org/10.1007/978-3-031-08999-2_40.
  • W. Farzana, A. Temtam, M. M. Rahman, M. S. Sadique, and K. M. Iftekharuddin.” Radiogenomic Prediction of MGMT Status using Transfer Learning” Vision Lab, ECE, Old Dominion University. Accepted to RSNA-ASNR-MICCAI BraTS 2021 challenge.
  • L. Vidyaratne, R. Suleiman, C. Tennant, D. Turner, K. Iftekharuddin, Md. Monibor Rahman, “Initial Studies of Cavity fault Prediction at Jefferson Laboratory,” 18th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS 2021), Shanghai, China, Oct 14-22, 2021.
  • A. Carpenter, L. Vidyaratne, C. Tennant, R. Suleiman, D. Turner, K. Iftekharuddin, Md. Monibor Rahman, “Using AI for Management of Field Emission in SRF Linacs,” 18th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS 2021), Shanghai, China, Oct 14-22, 2021.
  • M. Samad, R. Hossain and K. M. Iftekharuddin, “Dynamic Perturbation of Weights for Improved Data Reconstruction in Unsupervised Learning. in Proc. Of 2021 International Joint Conference on Neural Networks (IJCNN) and IEEE, July 2021.
  • M. Elbakary and K. M. Iftekharuddin “COVID-19 detection using image analysis methods on CT images”, Proc. SPIE 11596, Medical Imaging 2021: Image Processing, 115963G https://doi.org/10.1117/12.2581667; February 2021.
  • C. Dolph, C. Minwalla, L. J. Glaab, B. D. Allen, and K. Iftekharuddin, “Monocular Ranging for Small Unmanned Aerial Systems in the Far-Field”, Proceedings of AIAA 2021-0524 Session: Autonomy IV – Autonomous Flight, DOI link: https://doi.org/10.2514/6.2021-0524, January 2021.
  • M. A. Witherow, W. J. Shields, M. D. Samad, and K. M. Iftekharuddin, “Learning latent expression labels of child facial expression images through data-limited domain adaptation and transfer learning,” Proc. SPIE 11511, Applications of Machine Learning 2020, 115110E, August 2020.
  • M. Navarro, A. Glandon, N. K. Dhar, and K. M. Iftekharuddin, “Gender classification of full-body biological motion of aperiodic actions using machine learning,” Proc. SPIE 11509, Optics and Photonics for Information Processing XIV, 1150904, August 2020.
  • E. Snow, M. Alam, A. Glandon, and K. M. Iftekharuddin, “End-to-end Multimodel Deep Learning for Malware Classification”, in Proc. Of 2019 International Joint Conference on Neural Networks (IJCNN) and IEEE, July 2020.
  • L. Pei, Vidyaratne, M. Rahman, and K. M. Iftekharuddin “Deep learning with context encoding for semantic brain tumor segmentation and patient survival prediction”, Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 113140H (16 March 2020); https://doi.org/10.1117/12.2550693
  • Z. A. Shboul, and K. M. Iftekharuddin, “Efficacy of radiomics and genomics in predicting TP53 mutations in diffuse lower grade glioma”, Proc. SPIE. 10950, Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, Houston, February 2020.
  • C. Dolph, L. Glaab, B. Allen, M. Consiglio and K. Iftekharuddin, “An Improved Far-Field Small Unmanned Aerial System Optical Detection Algorithm,” in Digital Avionic Systems Conference, San Diego, 2019.
  • N. Sadeghzadehyazdi, T. Batabyal, A. Glandon, N. K. Dhar, B. O. Familoni, K. M. Iftekharuddin, S. T. Acton, “Glidar3DJ:A view-invariant gait identification via flash lidar data correction”, 2019 IEEE International Conference on Image Processing, Sept 22-25, Taipei, Taiwan, 2019.
  • A. Carpenter, T. Powers, Y. Roblin, A. Solopova, C. Tennant, L. Vidyaratne, K. Iftekharuddin, “Initial Implementation of a Machine Learning System for SRF Cavity Fault Classification at CEBAF”, ICALEPCS 2019.
  • A. Solopova, A. Carpenter, K. Iftekharuddin, T. Powers, Y. Roblin, C. Tennant, and L. Vidyaratne, SRF cavity fault classification using machine learning at CEBAF. In 10th Int. Particle Accelerator Conf. (IPAC’19), Melbourne, Australia, (pp. 1167-1170). JACOW Publishing, Geneva, Switzerland, 2019.
  • M. A. Witherow, M. D. Samad, and K. M. Iftekharuddin, “Transfer Learning Approach to Multiclass Classification of Child Facial Expressions,” in SPIE Optics and Photonics 2019: Signal, Image, and Data Processing, San Diego, CA, 2019.
  • A. Glandon, L. Vidyaratne, N. Sadeghzadehyazdi, N. Dhar, J. Familoni, S. Acton and K. Iftekharuddin, ” 3D Skeleton Estimation and Human Identity Recognition Using Lidar Full Motion Video,” in Proc. Of 2019 International Joint Conference on Neural Networks (IJCNN) and IEEE, July 2019.
  • C. M. Kuzio, A. Dinh, C. Stone, L. Vidyaratne, and K. M. Iftekharuddin, “Computational Modeling of Trust Factors in Imaging Data Using Reinforcement Learning”, Conference on Applications of Machine Learning, SPIE Optics + Photonics Symposium, San Diego, CA, August 2019.
  • A. Solopova, A. Carpenter, T. Powers, Y. Roblin, C. Tennant, L. Vidyaratne, K. Iftekharuddin, “SRF Cavity Fault Classificaiton Using Machine Learning at CEBAF”, 10th Int. Particle Accelerator Conf., Melbourne, Australia, JACoW Publishing, 2019.
  • Z. Shboul, and K. M. Iftekharuddin, “Prediction of low-grade glioma progression using MR imaging”, Proc. SPIE. 10950, Medical Imaging: Computer-Aided Diagnosis, San Diego, February 2019.
  • K. M. Iftekharuddin, Z. A. Shboul, “Recent experience with computational modeling for medical image analysis,” Proc. SPIE 10751, SPIE Optics and Photonics for Information Processing XII, 107510K, September, 2018.
  • Z. Shboul, L. Vidyaratne, M. Alam, and K. M. Iftekharuddin, “Glioblastoma and Survival Prediction,” Brain Lesion (BrainLes) workshop, a satellite event of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Springer, Cham, pp. 358-368, February 17 2018.
  • M. Alam, L. Vidyaratne and K. M. Iftekharuddin, “Efficient Learning of Data Distribution using Simultaneous Recurrent Belief Network”, IEEE World Congress on Computational Intelligence (WCCI), International Joint Conference on, Rio De Jenerio, Brazil, July 2018.
  • A. Glandon, S. Ullah, L. Vidyaratne, M. Alam, C. Xin and K. M. Iftekharuddin, “Prediction of Spatial Spectrum in Cognitive Radio using Cellular Simultaneous Recurrent Networks”, IEEE World Congress on Computational Intelligence (WCCI), International Joint Conference on, Rio De Jenerio, Brazil, July 2018.
  • L. Vidyaratne , M. Alam, Z. Shboul and K. M. Iftekharuddin, “Deep Learning and Texture Based Semantic Label Fusion for Brain Tumor Segmentation”, Proc. of SPIE Medical Imaging, Medical Imaging 2018: Houston, February 2018.
  • M. A. Witherow, M. I. Elbakary, M. Cetin, and K. M. Iftekharuddin, “Analysis of Crowdsourced Images for Flooding Detection”, VipImage – VI ECCOMAS Thematic Conference On Computational Vision And Medical Image Processing, Porto, Portugal, October, 2017.
  • D. Bussey, A. Glandon, L. Vidyaratne, M. Alam, and K. M. Iftekharuddin. “Convolutional neural network transfer learning for robust face recognition in NAO humanoid robot.” In Computational Intelligence (SSCI), 2017 IEEE Symposium Series on, pp. 1-7. IEEE, 2017.
  • A. H. Hawes and K. M. Iftekharuddin, “An Improved Silhouette for Human Pose Estimation”, Published in SPIE Proceedings Vol. 10395: Optics and Photonics for Information Processing XI, September 2017.
  • M. I. Elbakary, H. M. Abdelghaffar, K. Afrifa, H. A. Rakha, M. Cetin, K. M. Iftekharuddin, Aerosol detection using lidar-based atmospheric profiling”, Published in SPIE Proceedings Vol. 10395: Optics and Photonics for Information Processing XI, September 2017.
  • Z. A. Shboul, L. Vidyaratne, M. Alam, and K. M. Iftekharuddin, “Glioblastoma and Survival Prediction”, LNCS proceedings of the BrainLes Workshop for MICCAI, Springer, 2017.
  • L. Vidyaratne, M. Alam, J. K. Anderson, and K. M. Iftekharuddin, “Constrained versus Unconstrained Learning in Generalized Recurrent Network for Image Processing”, Neural Networks (IJCNN), 2014 International Joint Conference on, pp., 2017.
  • C. V. Dolph, M. Alam, Z. Shboul, M. D. Samad, and K. M. Iftekharuddin, “Deep Learning of Texture and Structural Features for Multiclass Alzheimer’s Disease Classification,” In Neural Networks (IJCNN), International Joint Conference on, IEEE, pp. 2259-2266, 2017.
  • M. Z. Alom, M. Alam, T. M. Taha, and K. M. Iftekharuddin, “Object Recognition using Cellular Simultaneous Recurrent Networks and Convolutional Neural Network,” In Neural Networks (IJCNN), International Joint Conference on, IEEE, pp. 2873-2880, 2017.
  • L. Pei, S. Reza, W. Lei, C. Davatzikos, and K. M. Iftekharuddin, “Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRI”, Proc. of SPIE Medical Imaging, Medical Imaging 2017: Orlando, February 2017.
  • M. I. Elbakary, K. M. Iftekharuddin, R. De Young, and K. Afrifa, “Aerosol Detection Methods in Lidar-Based Atmospheric Profiling”, SPIE International Conference on Optics and Photonics for Information Processing X, San Diego, August 2016.
  • L. Vidyaratne, A. Glandon, M. Alam and K. M. Iftekharuddin, “Deep Recurrent Neural Network for Seizure Detection”, IEEE World Congress on Computational Intelligence (WCCI), , International Joint Conference on, Vancouver, Canada, 2016.
  • M. Alam, L. Vidyaratne, and K. M. Iftekharuddin, “Efficient Feature Extraction with Simultaneous Recurrent Network for Metric Learning “, IEEE World Congress on Computational Intelligence (WCCI), , International Joint Conference on, Vancouver, Canada, 2016.
  • C. M. Williams, K. M. Iftekharuddin, “Gender Classification of Running using Full Body Kinematics”, Proc. SPIE, Geospatial Information Fusion and Video Analytics and Motion Imagery for ISR and Situational Awareness, to Appear, 2016.
  • M. S. Alam, L. S. Vidyaratne, A. Glandon and K. M. Iftekharuddin, “Deep SRN for Robust Object Recognition: A Case Study with NAO Humanoid Robot”, IEEE Southeast Con, Norfolk, April 2016.
  • S. M. Reza and K. M. Iftekharuddin, “Glioma Grading Using Cell Nuclei Morphologic Features in Digital Pathology Images”, Proc. of SPIE Medical Imaging, Medical Imaging 2016: Orlando, February 2016.
  • M. Samad, J. Bobzien, J. Harrington, and K. M. Iftekharuddin, “Analysis of Oddity in Facial Physiology of Children with Autism using 3D Imaging”, Proc. Of IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2015. (19% acceptance rate for regular papers in 2015).
  • L. Pei, S. Reza, and K. M. Iftekharuddin, “Improved Brain Tumor Growth Prediction and Segmentation in Longitudinal Brain MRI”, Proc. Of IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2015. (18% acceptance rate for short papers in 2015).
  • M. Alam, L. Vidyanathan and K. M. Iftekharuddin, “Novel Hierarchical Cellular Simultaneous Recurrent Neural Network for Object Detection”, Neural Networks (IJCNN), 2014 International Joint Conference on, pp., 2015.
  • M. Alam, L. Vidyaratne, and K. M. Iftekharuddin, “Novel cellular recurrent deep network for image registration”, SPIE International Conference on Optics and Photonics for Information Processing IX, San Diego, August 2015
  • S. Reza, R. Mays, and K. M. Iftekharuddin, “Multi-fractal Detrended Texture Feature for Brain Tumor Classification”, Proc. of SPIE Medical Imaging, Medical Imaging 2015: Orlando, February 2015.
  • L. Vidyanathan, M. Alam, J. K. Anderson and K. M. Iftekharuddin, “Improved training of cellular SRN using Unscented Kalman Filtering for ADP”, Neural Networks (IJCNN), 2014 International Joint Conference on, pp.993- 1000, 2014.
  • J. B. Flora; D. F. Lochtefeld; K. M. Iftekharuddin, “Full-motion video analysis for improved gender classification.”, Proc. SPIE 9089, Geospatial Information Fusion and Video Analytics IV; and Motion Imagery for ISR and Situational Awareness II, 90890Q; doi: 10.1117/12.2053390, 2014.
  • M. D. Samad and K. M. Iftekharuddin, “Radial curve-based classification and localization of features for 3D facial expressions”. Proc. SPIE 9117, Three-Dimensional Imaging, Visualization, and Display, doi:10.1117/12.2053428, 2014.
  • P. Duraisamy, A. H. Yousef , K. M. Iftekharuddin;, “Novel metrics for object discrimination in overhead real and synthetic color images”. Proc. SPIE 9088, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX, 908810, doi:10.1117/12.2052887, 2014.
  • S. Reza, K. M. Iftekharuddin, “Multi-fractal texture features for brain tumor and edema segmentation”, in Medical Imaging 2014: Computer-Aided Diagnosis, Stephen Aylward; Lubomir M. Hadjiiski, Editors, Proceedings of SPIE Vol. 9035, 903503, 2014.
  • A. Yousef., J. Flora, K. M. Iftekharuddin, “Highway traffic segmentation using super-resolution and Gaussian mixture model”. Proc. SPIE 8855, Optics and Photonics for Information Processing VII, 88550G; doi: 10.1117/12.2026438, 2013.
  • S. Reza and K. M. Iftekharuddin, “Multiclass abnormal brain tissue segmentation using texture features,”In Proceedings MICCAI-BRATS, pp. 38-42, 2013.
  • K. Anderson and K. M. Iftekharuddin, “Learning Topological Image Transforms Using Cellular Simultaneous Recurrent Networks IEEE Proc. of International Joint Conference on Neural Networks, Dallas, 2013.
  • K. M. Iftekharuddin, “Texture Models for Brain Tumor Segmentation”, Proc. Of OSA Optics and Imaging Congress, Washington DC, 2013.
  • A. H. Yousef, K.M. Iftekharuddin, and M. A. Karim, “A new morphology algorithm for shoreline extraction from DEM data”, Proc. of SPIE Defense, Security, and Sensing, Baltimore, 2013.
  • A. H. Yousef, K.M. Iftekharuddin, and M. A. Karim, “Toward aerosols LiDAR scattering plots clustering and analysis”, Proc. of SPIE Defense, Security, and Sensing, Baltimore, 2013.
  • M. D. Samad, K.M. Iftekharuddin, “Recognition of facial expression from variable quality 3D pose data”, Proc. of SPIE Defense, Security, and Sensing, Baltimore, 2013.
  • S. Ahmed and K. M. Iftekharuddin,” ‘An information theoretic framework for MRI preprocessing, multiclass feature selection and segmentation of PF tumors”, IEEE Proc. On Forty sixth Asilomar Conference on Signals, Systems and Computers, pp. xx – xx, 2012.
  • M. S. Arslan, M. I. Elbakary, S. Reza and K. M. Iftekharuddin,” Intensity-based registration and fusion of thermal and visual facial-images”, Proc. of 57th SPIE Annual Meeting, Vol. 8498, pp. 8498 OC0- OC9, San Diego, CA, 2012.
  • T. Salan and K. M. Iftekharuddin, “Large pose invariant face recognition using cellular simultaneous neural network”, Proc. Of IEEE World Congress on Computational Intelligence (WCCI’12), Brisbane, Australia 2012.
  • C. Chen, C. Chang, J. Li, J. Allen, X. Huang, G. Zheng and K. M. Iftekharuddin, “Estimating Exhaust Emissions based on Automated Video Traffic Systems”, The 4th International Forum on Systems and Mechatronics August 6-9, Virginia Beach, 2012
  • E. Oguslu, K. Iftekharuddin and J. Li, “Sparse coding for hyperspectral images using random dictionary and soft thresholding,”, SPIE Proc. Of Visual Information Processing XXI, Vol. 8399, May 2012.
  • S. Ahmed and K. M. Iftekharuddin, “Multiclass Feature Selection for Improved Pediatric Brain Tumor Segmentation”, Proc. of SPIE Medical Imaging, Medical Imaging 2012: San Diego, February 2012.
  • K. M. Iftekharuddin, S. Ahmed and J. Hossen, “Multiresolution Texture Models for Brain Tumor Segmentation in MRI”, 33rd Annual International IEEE EMBS Conference, Boston, MA, August 2011.
  • K. M. Iftekharuddin, M. M. R. Khan, E. McCracken, L. Wang, and R. Kozma, “Autonomous wireless radar sensor mote integrating a Doppler radar into a sensor mote and its application in surveillance and target material classification”, Proc. of 56th SPIE Annual Meeting, Vol. 8134, 813403, San Diego, CA, 2011.
  • S. Patti and K. M. Iftekharuddin, “Analysis of gene expression variation in GBM recurrence”, Summit on Systems Biology 2011 Molecular Networks and Disease, Richmond, VA, June 2011.
  • K. Rice, T. M. Taha, R. Miller, K. M. Iftekharuddin, K. Anderson, and T. Salan, “Accelerating CSRN based face recognition on an NVIDIA GPGPU,” Infotech@Aerospace Conference, March 2011 (Invited paper).
  • P. Y. Kim, K. M. Iftekharuddin, P. Gunvant, M. Tóth, A. Garas, G. Holló and E. A. Essock, “Feature-based Glaucomatous Progression Prediction Using Scanning Laser Polarimetry Data”, Proc. of SPIE Medical Imaging, Medical Imaging 2011: Orlando, FL, February 2011.
  • P. Gunvant, P. Y. Kim, K. M. Iftekharuddin, and E. A. Essock, “Identifying Glaucoma with Multi-fractal Features from Optical Coherence Tomography”, Proc. of SPIE Medical Imaging, Medical Imaging 2011: Orlando, FL, February 2011.
  • W. White, K. Iftekharuddin and S. Bouzerdoum, “Improved Dynamic Learning in the Maze Traversal Problem via Clustering”, Proc. Of IEEE World Congress on Computational Intelligence (WCCI’10), Barcelona, Spain, 2010.
  • K. Iftekharuddin and J. K. Anderson, “Image registration under affine transformation using cellular simultaneous recurrent networks”, Proc. of 55th SPIE Annual Meeting, Vol. 7797, San Diego, CA, 2010
  • S. Slack and K. Iftekharuddin, “Wide Angle IR detection Through a Conical Mirror: Some Preliminary Results”, Proc. of Optical Society of America Topical Meeting in Digital Image Processing and Application, Tucson, AZ, 2010.
  • R. Kozma, L. Wang, K. M. Iftekharuddin, E. McCracken, M. Khan, K. Islam, R. M. Demirer, “Multi-Modal Sensor System Integrating COTS Technology for Surveillance and Tracking, IEEE International Radar Conference, RADAR2010, Washington DC, 2010.
  • P. Y. Kim, K. M. Iftekharuddin, P. Gunvant, M. Tóth, G. Holló and E.A. Essock, “Efficacy of Fractal Analysis in Identifying Glaucomatous Damage”, Proc. of SPIE Medical Imaging, Medical Imaging 2010: San Diego, CA February 2010.
  • P. Gunvant, P. Kim, M. Tóth, G. Holló, E. A. Essock, K. Iftekharuddin, “Predicting Visual Field Loss in Glaucomatous Patients Using Fast–Fourier Analysis (FFA) of GDx-VCC Scanning Laser Polarimetry”, Annual Meeting of ARVO/International Society for Imaging in the Eye, Fort Lauderdale, Florida, 2010.
  • K. Anderson, K. M. Iftekharuddin, P. Kim, “Gray Scale Image Registration Using Cellular Simultaneous Recurrent Neural Networks”, Pages: 74420 C1 – C12, Proc. of 54th SPIE Annual Meeting, Vol. 7442, San Diego, CA 2009.
  • Y. Ren, K. Anderson, K. M. Iftekharuddin, P. Kim, E. White, ”Pose invariant face recognition using Cellular Simultaneous Recurrent Networks”, IEEE Proc. of International Joint Conference on Neural Networks, Page(s):2634 – 2641, 2009.
  • K. Anderson, K. Iftekharuddin, E. White, P. Kim. “Binary Image Registration using Cellular Simultaneous Recurrent Networks“, IEEE Computational Intelligence for Multimedia Signal and Vision Processing, CIMSVP ’09. IEEE Symposium on, Page(s):61 – 67, 2009.
  • Y. Ren, K. Iftekharuddin, E. White. “Recurrent Network-Based Face Recognition Using Image Sequences”, IEEE Computational Intelligence for Multimedia Signal and Vision Processing, CIMSVP ’09. IEEE Symposium on, Page(s):41 – 46, 2009.
  • S. Ahmed , K. M. Iftekharuddin, R. J. Ogg, and F. H. Laningham, “Efficacy of texture, shape and intensity features for robust posterior-fossa tumor segmentation in MRI”, Proc. of SPIE Medical Imaging, Medical Imaging 2009: Computer-Aided Diagnosis, Maryellen L. Giger, Nico Karssemeijer, Editors, Vol. , 7260, San Diego, CA February 2009.
  • K. Anderson, K. M. Iftekharuddin and B. Montgomery, “Single Camera Based Object Detection and Tracking for Mobile Robots”, Proc. of 53rd SPIE Annual Meeting, Vol. 7072, San Diego, CA 2008.
  • F. N. Julia and K. M. Iftekharuddin, “Dialog Act Classification using Acoustic and Discourse Information of MapTask Data”, Proc. Of IEEE World Congress on Computational Intelligence (WCCI’08), Hong Kong, pp. 1473-1480, 2008.
  • K. M. Iftekharuddin and Y. Li, “A Biologically-Inspired Computational Model for Transformation Invariant Target Recognition”, Proc. Of IEEE World Congress on Computational Intelligence (WCCI’08), Hong Kong, pp. 1050-1057, 2008.
  • A. Islam, K. M. Iftekharuddin and E. O. George; “Class Specific Gene Expression Estimation and Classification in Microarray Data”, Proc. Of IEEE World Congress on Computational Intelligence (WCCI’08), pp. 1679-1686, Hong Kong, 2008.
  • A. Islam , K. M. Iftekharuddin, R. J. Ogg , F. H. Laningham, and B. Sivakumar, “Multifractal modeling, segmentation, prediction and statistical validation of posterior fossa tumors”, Proc. of SPIE Medical Imaging, Medical Imaging 2008: Computer-Aided Diagnosis, Maryellen L. Giger, Nico Karssemeijer, Editors, Vol. 6915, 69153C, San Diego, CA February 2008.
  • K. M. Iftekharuddin, Y. Li and F. Siddiqui, “A Biologically Inspired Neural Network Model to Transformation Invariant Object Recognition”, Proc. of 52nd SPIE Annual Meeting, pp. 66950O-1 – 66950O-12, Vol. 6695, San Diego, CA 2007.
  • K. M. Iftekharuddin, J. Zheng, M. A. Islam, R. J. Ogg, and F. Lanningham, “Brain Tumor Detection in MRI: Technique and Statistical Validation”, IEEE Proc. On Fortieth Asilomar Conference on Signals, Systems and Computers, pp. 1983 – 1987, 2006.
  • A. Islam, K. M. Iftekharuddin, and E. O. George, “Gene Expression Based CNS Tumor Prototype for Automatic Tumor Detection”, IEEE Proc. On Fortieth Asilomar Conference on Signals, Systems and Computers, pp. 846 – 850, 2006.
  • K. M. Iftekharuddin and Y. Li, “A reinforcement learning approach in rotated image recognition and its convergence analysis”, Proc. of 51st SPIE Annual Meeting, Vol. 6310, San Diego, CA 2006.
  • A. Islam and K. M. Iftekharuddin and D. J. Russomanno, “ Visualizing Differentially Expressed Genes”, Proc. of 51st SPIE Annual Meeting, Vol. 6310, San Diego, CA 2006.
  • F. Siddiqui and K. M. Iftekharuddin, “Multiresolution Object Recognition using Dual Heuristic Programming”, Proc. Of IEEE World Congress on Computational Intelligence (WCCI’06), pp. 8378 – 8384, Vancouver, Canada, July 2006.
  • A. Islam, K. M. Iftekharuddin and D. R. Russumanno, “Marker Gene Selection Evaluation Using Parallel Coordinates”, Proc. of the Bioinformatics, Las Vegas, pp. 302 – 306, June 2006.
  • A. Islam, K. M. Iftekharuddin and S. M. Salem, “Learning an Image Lexicon”, Proc. of the IEEE SoutheastCon, pp. 302 – 306, March 31 – April 2, 2006.
  • F. N. Julia, and K. M. Iftekharuddin, “Detection of Emotional Expressions in Speech” Proc. of the IEEE SoutheastCon, pp. 307 – 312, March 31 – April 2, 2006.
  • H. Azhar, K. M. Iftekahruddin and R. Kozma, “A Chaos Synchronization-Based Dynamic Vision Model for Image Segmentation”, Proc. Of IEEE International Joint Conference on Neural Networks (IJCNN’05), Montreal, July 2005.
  • H. Azhar, K. M. Iftekahruddin, R. Kozma and A. Admala, “Natural Image Classification in Non Linear Network Model”, Proc. of 50th SPIE Annual Meeting, Vol. 5970 , pp. 59070P-1 – P11, San Diego, CA 2005.
  • K. M. Iftekharuddin, M. Islam, J. Shaik, C. Parra, and R. Ogg, “Automatic Brain-Tumor Detection in MRI: Methodology and Statistical Validation”, SPIE Medical Imaging, Vol. 5747, pp. 2012-2022, San Diego, CA February 2005.
  • K. M. Iftekharuddin and J. Shaik, “Probabilistic detection and tracking of IR targets”, Proc. of 48th SPIE annual meeting in Photonic Devices and Algorithms, Vol. 5556, San Diego, CA, August 2004.
  • K. M. Iftekharuddin and T. Widjanarko, “Reinforcement Learning in Multiresolution Object Recognition”, Proc. Of IEEE International Joint Conference on Neural Networks (IJCNN’04), pp. 1085-1090, Budapest, Hungary, July 2004.
  • K. M. Iftekharuddin, Y. Sun and H. Azhar, “A Fractal Based Medical Image Analysis Interface for Tumor Detection, Joint BECON/BISTIC Symposium, Biomedical Informatics for Clinical Decision Support, NIH, June 21 – 22, 2004.
  • C. Parra and K. M. Iftekharuddin, “Improved Multiresolution-Fractal Feature Extraction for Tumor Detection in MR Images”, 2nd International Conference of Computational Harmonic Analysis, Nashville, TN May 2004.
  • H. Azhar and K. M. Iftekharuddin, “Biology Inspired Automatic Segmentation of Brain Images with Chaos Synchronization” 2nd International Conference of Computational Harmonic Analysis, Nashville, TN May 2004.
  • C. Parra, K. M. Iftekharuddin and R. Kozma, “Automated brain data segmentation and pattern recognition using ANN”, Proc. Of 2nd Intl. Cong. On Computational Intelligence, Robotics and Autonomous Systems (CIRAS’03), Singapore, December 2003.
  • K. M. Iftekharuddin and P. Medapally, “Segmentation of Brain Tissue and Tumor Area from 2D MRI Images, Using Pulse Coupled Neural Network”, 2003 BMES Annual Fall Meeting, Nashville, TN, October 2003.
  • K. M. Iftekharuddin, J. Zook and D. Rendon, “An automated statistical analysis of fractal-based algorithms for brain tumor detection”, 2003 BMES Annual Fall Meeting, Nashville, TN, October 2003.
  • K. M. Iftekharuddin and C. Parra, “Multiresolution-fractal feature extraction and tumor detection: analytical modeling and implementation”, Proc. of SPIE 47th annual meeting in wavelets, Vol. 5207, pp. 801-812, San Diego, CA, August 2003.
  • M. S. Alam, H. Kettani, M. Huq, J. Khan, A. A. S. Awwal and K. M. Iftekharuddin, “Fringe-adjusted JTC Based Target Detection and Tracking Using Subframes from a Video Sequence” SPIE 47th annual meeting in Photonic Devices and Algorithms, San Diego, CA, August 2003.
  • K. M. Iftekharuddin and J. Shaik, “Distorted IR target detection and tracking using composite filters”, SPIE 47th annual meeting in Photonic Devices and Algorithms, pp. 73-84, Vol. 5201, San Diego, CA, August 2003.
  • J. S. Shaik and K. M. Iftekharuddin, “Automated Tracking and Classification of Infrared Images”, pp. 147-158, Proc. Of IEEE International Joint Conference on Neural Networks (IJCNN’03), Portland, OR, July 2003.
  • K. M. Iftekharuddin, C. Parra and D. Rendon, “Wavelet-based computation of the fractal dimension on fBm images”, pp. 533-536, Proc. of 1st IEEE EMBS conference on Neural Engineering, Capri Island, Italy, March, 2003.
  • K. M. Iftekharuddin, M. Prajna , S. Samanth and M. Indhukuri, “Mega voltage image segmentation and ambient noise removal”, Proc. of 2nd Joint Conf., of IEEE EMBS-BMES, October, 2002.
  • K. M. Iftekharuddin and J. Shaik, A. A. S. Awwal and M. S. Alam, “Hilbert-wavelet transform for recognition of image rotation”, pp. 147-158, Vol. 4788, Proc. of SPIE, Seattle, WA, July 2002
  • A. A. S. Awwal, K. S. Gudmundsson, M. Tabrez, M. Rahman, M. S. Alam and K. M. Iftekharuddin, “New metric for 3D optical pattern recognition system”, pp. 183-190, Vol. 4788, Proc. of SPIE, Seattle, WA, July 2002.
  • K. M. Iftekharuddin and R. Malhotra, “Role of multiresolution attention in automated object recognition”, Proc. Of IEEE World Congress on Computational Intelligence, pp. 2255-2260, Honolulu, Hawaii, May, 2002.
  • J. B. Gregga, G. J. Power and K. M. Iftekharuddin, “Correlators for rank order shape similarity measurement”, Aerosense, Orlando, Vol. 4734, April, 2002.
  • K. M. Iftekharuddin and G. Power, “A biological model for distortion-invariant target recognition”, Proc. of IEEE International Joint Conference on Neural Networks (IJCNN’01), pp. 559 –564, July 2001, IEEE Press, Washington DC.
  • K. M. Iftekharuddin, “Intra-class classification of tumor in brain MR images”, SPIE Annual Meeting, July 2001, San Diego, CA.
  • K. M. Iftekharuddin and R. N. Pyda, “Image search over the net”, International Conference on Intelligent Multimedia and Distance education, pp. 62-67, John Wiley & Sons, Fargo, ND, June 2001.
  • K. M. Iftekharuddin and A. Dani, “An Efficient Target Recognition System for Rotated Synthetic Aperture Radar Images”, Artificial Neural Networks in Engineering (ANNIE) ’00 Proceedings, ASME Press Series, St. Louis, MO, November, 2000
  • K. M. Iftekharuddin and M. A. Razzaque, “Constraints in distortion invariant target recognition system simulation”, Vol. 4414, SPIE’s International Symposium on Optical Science, Engineering and Instrumentation Proceedings, San Diego, CA, July, 2000.
  • K. M. Iftekharuddin, W. Jia and R. Marsh, “A fractal analysis approach to identification of tumor in brain MR images”, Proc. Of Eng. Med. Biol. Soc., Proc. of the 22nd Annual. Intl. Conference of the IEEE. 4:3064–3066, July 2000.
  • M. A. Razzaque and K. M. Iftekharuddin, ” Characterization of joint harmonic wavelet transform (JHWT) in image de-noising”. Vol. xxx, SPIE Proceedings on Optical Pattern Recognition IX, Orlando, FL, April 2000.
  • K. M. Iftekharuddin and C. Rentala, “Determination of the exact angle of rotation in target recognition applications”, Artificial Neural Networks in Engineering (ANNIE) ’99 Proceedings, ASME Press Series, St. Louis, MO, November, 1999.
  • K. M. Iftekharuddin and S. Obowa, “An integrated visual workbench for sensor signal analysis”, International Symposium on Intelligent Multimedia and Distance Education (ISIMADE’99) Proceedings, Baden-Baden, Germany, August 1999.
  • C. Rentala and K. M. Iftekharuddin, “Detection of targets varying in fine details, rotation and translation”, Vol. 3805, SPIE’s International Symposium on Optical Science, Engineering and Instrumentation Proceedings, Denver, CO, July, 1999.
  • K. M. Iftekharuddin, “A harmonic wavelet joint transform correlator for improved target recognition”, Proceedings of the International Conference on Imaging Science, Systems and Technology (CISST’99), Las Vegas, NV, June 1999.
  • K. M. Iftekharuddin, “Nonlinear speckle reduction using orthogonal wavelets”, SPIE Proceedings on Wavelet Applications, April 1998, Orlando, FL.
  • S. Diab M. A. Karim and K. M. Iftekharuddin, “Scale and translation-invariant detection of targets varying in fine details”, SPIE proceedings on Tracking, Vol. ….. , SPIE Proceedings on Image Exploitation and Target Recognition, April 1997, Orlando, FL.
  • K. M. Iftekharuddin, S. Diab and M. A. Karim, “Smart detection of targets varying in fine details”, Proceedings of Optical Society of America (OSA), Oct. 1996, Rochester, NY.
  • K. Das, K. M. Iftekharuddin, and M. A. Karim, “Heterodyne detection using hexagonal pixel geometry”, Proceedings OSA, Oct., 1996, Rochester, NY.
  • K. M. Iftekharuddin, T. Tuthill and M. A. Karim, “Wavelet packet-based nonlinear speckle reduction in optical synthetic aperture radar image analysis”, SPIE Proceedings on Wavelet Applications-II, Vol. 2762, April 1996, Orlando, FL.
  • K. M. Iftekharuddin and K. Das, “Heterodyne Detection for Staring Hexagonal Detector Array”, Proceedings of National Aerospace and Electronics Conference (NAECON), May 1996, Dayton, OH.
  • L. T. Brekka, V. Maksimovic, C. Picardel and K. M. Iftekharuddin, “Risk Management and System Engineering Discipline”, Proceedings of NAECON, May 1996, Dayton, OH.
  • K. M. Iftekharuddin, M. Purpura and M. A. Karim, “A radial basis wavelet neural net for character recognition purposes”, Proceedings of OSA, Sept. 1995, Portland, OR.
  • K. M. Iftekharuddin, K. Jemili and M. A. Karim, “A neural-wavelet feature-based character recognition system”, Proceedings of NAECON, May 1995, Dayton, OH.
  • K. M. Iftekharuddin, M. A. Karim and K. Jemili, “Wavelet pre-processed amplitude-modulated phase-only filter for target recognition”, SPIE Proceedings on Wavelet Applications-II, Vol. 2471, April 1995, Orlando, FL.
  • K. M. Iftekharuddin, M. A. Karim and A. A. S. Awwal, “Performance analysis of trinary amplitude binary phase only filter”, NAECON, May 1994, Dayton, OH.
  • K. M. Iftekharuddin, A. A. S. Awwal and M. A. Karim, “A robust feature extracted Amplitude-Modulated Phase-Only filter-based character recognition system”, Proceedings of OSA, Oct. 1993, Toronto, Canada.
  • K. M. Iftekharuddin, A. A. S. Awwal and M. A. Karim, “The performance analysis of the Amplitude-Modulated Phase-Only filter”, Proceedings of OSA, Oct. 1993, Toronto, Canada.
  • K. M. Iftekharuddin, A. A. S. Awwal, A. K. Cherri and M. A. Karim, “Generalized technique for laser beam diameter measurement using an aperiodic-periodic ruling”, Proceedings of OSA, Oct. 1993, Toronto, Canada.
  • J. U. Ahmed, A. A. S. Awwal, M. A. Karim and K. M. Iftekharuddin, “Practical implementation of an Amplitude-Modulated Phase-Only filter”, Proceedings of OSA, Oct. 1993, Toronto, Canada.
  • K. M. Iftekharuddin and M. A. Karim, “Acquisition of noise-free and noisy signal: effect of different pixel geometry”, Proceedings of NAECON, May 1993, Dayton, OH.
  • K. M. Iftekharuddin, K. Jemili and M. A. Karim, “Comparison between optical interconnection processors: Folded perfect shuffle and 3-D butterfly”, Proceedings of NAECON, May 1993, Dayton, OH.
  • K. M. Iftekharuddin and M. A. Karim, “Design of 2×2 bit multiplier and nxn bit PIPO shift register using butterfly interconnection network”, Proceedings of OSA, Oct. 1992, Albuquerque, NM.
  • K. M. Iftekharuddin and M. A. Karim, “Effect of background radiation noise on heterodyne detection efficiency using diffraction-free beam”, Proceedings of OSA, Oct. 1992, Albuquerque, NM.
  • K. M. Iftekharuddin, A. A. S. Awwal and M. A. Karim, “Design of some computational building blocks using soliton based GEO module”, Proceedings of OSA, Oct. 1992, Albuquerque, NM.
  • M. S. Alam, K. M. Iftekharuddin and M. A. Karim, “Edge-detection using polarization based optical shadow casting”, Proceedings of OSA, Oct. 1992, Albuquerque, NM.
  • K. M. Iftekharuddin, A. A. S. Awwal and M. A. Karim, “A systematic approach to find the possible minimum minterms in MSD binary addition”, Proceedings of NAECON, May 1992, Dayton, OH.
  • M. S. Alam, S. H. Zheng, K. M. Iftekharuddin and M. A. Karim, “Study of field-of-view overlap for night vision application”, Proceedings of NAECON, May 1992, Dayton, OH.
  • K. M. Iftekharuddin, A. A. S. Awwal and M. A. Karim, “Design of refracting system for generating a diffraction-free beam”, Proceedings of OSA, Oct. 1991, San Jose, CA.

Invited Presentations/Seminars

  • Role of texture in brain tumor segmentation and classification”, Indiana University Purdue University, November, 2013.
  • NIH Funding: Faculty Panel and Workshop”, Invited panelist on ODU Office of Research Faculty Workshop, September, 2013.
  • Human Characterization in Full Motion Video”, Wright Patterson Air Force Lab, July, 2013.
  • Brain Tumor Detection, and Prediction”, University of Paris 13, May 2012.
  • Bio-inspired Automatic Target Recognition”, MITRE workshop on Homeland Security, July, 2011.
  • Distortion invariant face recognition”, University of Paris 13, Paris, April 2011.
  • Brain tumor Growth: Computational Simulation”, Bioinformatics Seminar, Bioinformatics program, University of Memphis, April, 2011.
  • Statistical methods in brain tumor segmentation”, University of Denver, March, 2011.
  • Detection, Prediction and Statistical Validation of Pediatric Brain Tumor”, Lawrence Livermore National Lab, October, 2010.
  • Bio-motivated Face Recognition”, University of Dayton, August 2010.
  • Efficacy of texture, shape and intensity features in PF tumor segmentation”, Bioinformatics Seminar, Bioinformatics program, University of Memphis, April, 2010.
  • Challenges in face recognition and a few promising techniques”, Cognitive Science Seminar, IIS, University of Memphis, November, 2009.
  • Modeling of Gene Expression Based -Tumor Prototype for Automatic Tumor Prediction”, Bioinformatics Seminar, Bioinformatics program, University of Memphis, April, 2009.
  • Detection of posterior fossa brain tumor”, Diagnostic Imaging Department, St. Jude’s Children’s’ Hospital, February, 2009.
  • Bio-motivated Computing”, Telecommunications and Information Technology Research Institute (TITRI), University of Wollongong, Australia, July 2008.
  • Biologically Inspired ATR in Distortion” AF Workshop on Intelligent Sensory Data Processing and Imaging in Dynamic Battlefield Scenarios, FedEx Institute of Technology, University of Memphis, November 2007.
  • Automatic Target Recognition”, CEO Forum of Memphis, October 2006.
  • Reinforcement Learning”, Learning Technology Seminar, Department of Psychology, University of Memphis, February, 2006.
  • Fractal analysis of brain tumor”, Department of Physics, University of Memphis, October, 2003.
  • Progress in neural ATR”, Department of Electrical and Computer Engineering, University of South Alabama, December, 2002.
  • Brain tumor analysis”, Department of Biomedical Engineering, UT/UM joint graduate program, July, 2002.
  • Speckle reduction using orthogonal wavelets” Image Science and Machine Vision Group, The Oak Ridge National Laboratory. March 2001.
  • Neural and Synthetic Techniques in ATR”, Department of Electrical and Computer Engineering, University of South Alabama, November, 2001.
  • A fractal analysis approach to identification of tumor in brain MR images”, Department of Biomedical Imaging, St. Jude Research Hospital, October 2000.
  • Intelligent Systems and Image Processing Research Overview”, Department of Physics, Temple University, November 2000.