David Donald Pokrajac

Room: 104 Grossley Hall
Office Phone: 1-302-857-7412
Laboratory: 104 Grossley Hall
Personal Page: tesla.cis.desu.edu
Institution: Temple University
Location: Philadelphia, PA
Degree: Ph.D. in Computer Science (2002)

I started my research activities in the field of signal processing and telecommunications and worked on interference surpression in direct sequence spread spectrum systems (DS-SS). Later, as part of my graduate studies at Washington State University and Temple University, I worked on spatial and spatial-temporal data mining.
At Delaware State University, I work in several fields, and collaborate with researchers from areas including physics, biology, applied mathematics and environmental sciences. I am an author of more than 120 papers (journal and conference publications), one patent, one provisional patent and several book chapters.

Video analytics represents important part of my research at DSU, and has been funded from several past and current Department of Defense grants. In collaboration with Temple University, we developed two novel methods for motion detection. With collaborators from Honeywell, I worked on several techniques for detection of unusual activity on surveillance videos. Currently, we are working on GPU implementation of statistical methods for detection of unusual behavior.

In the field of machine learning and data mining, I am especially interested in incremental algorithms for outlier detection, unsupervised learning, and feature extraction and have expertise in a broad range of classification and regression techniques. I am an author of incremental LOF and incremental COF algorithms.

Medical imaging simulation and analysis is part of DSU ongoing collaboration with University of Pennsylvania. In this effort, we developed a novel algorithm for simulation of breast anatomy with quadratic empiric complexity, that provided for significant speedup and made possible simulation at unprecedented resolutions (e.g., 25um voxels). A provisional patent is filled out of this work.

The following list of publications include journal and conference papers from 2008 on. In addition, we filled the following IP:

Z. Obradovic, T. Fiez, A. Lazarevic, S. Vucetic, D. Pokrajac, R. L. Hoskinson: Systems and Methods for Knowledge Discovery in Spatial Data, US Patent 6,865,582, Date March 8, 2005.

D. Pokrajac, P. Bakic, A. D. Maidment, Method for Simulation of Multi-dimensional Spatial Regions, US Provisional Patent, Application number 61511227, filed July 25, 2011.

Field(s) of Interest:

Video analytics, medical image simulation and analysis, machine learning, data mining, theory of algorithms


  1. M. Petkovic, D. Pokrajac, L. Latecki  2012 , Spherical coverage verification  ,Applied Mathematics and Computation  218 , 9699-9715 .
  2. D. Pokrajac, A. Maidment, P. Bakic  2012 , Optimized Generation of High Resolution Breast Anthropomorphic Software Phantoms  ,Medical Physics  39 , 2290-3002 .
  3. T. Vance, D. Pokrajac, A. Lazarevic, A. Marcano, Y. Markushin, S. McDaniel and N. Melikechi  2010 , Classification of LIBS Protein Spectra Using Multilayer Perceptrons  ,Transactions on Mass-Data Analysis of Images and Signals  2 , IBAI Publishing .
  4. M. A. Reiter, M. Saintil, Z. Yang, D. Pokrajac  2009 , Derivation of a GIS-based watershed-scale conceptual model for the St. Jones River Delaware from habitat-scale conceptual models  ,Journal of Environmental Management  90 , Elsevier .
  5. D. Milovic, M. Stefanovic, D. Pokrajac  2009 , Stochastic approach for output SINR computation at SC diversity systems with correlated Nakagami-m fading  ,European Transactions on Telecommunications  20 , Wiley .
  6. V. Aleksandrovic, M. Milovanovic, D. Pokrajac  2008 , Towards Serbian National Sound Archives-Information System for Storage, Access and Retrieval of Restored Sound Recordings  ,Review of the National Center for Digitization  13 , Faculty of Mathematics, Belgrade , 41-48 .
  7. V. Megalooikonomou, D. Kontos, D. Pokrajac, A. Lazarevic, Z. Obradovic  2008 , An Adaptive Partitioning Approach for Mining Discriminant Regions in 3D Image Data  ,Journal of Intelligent Information Systems  31 , Springer , 217-242 .

Conference Proceedings

  1. J. Chui, R. Zeng, D. Pokrajac, S. Park, K. J. Myers, A. D. A. Maidment, P. R. Bakic  2013 , Two methods for simulation of dense tissue distribution in software breast phantoms  ,in Proc. of SPIE 8668 .
  2. F. Chen, D. Pokrajac, X. Shi, F. Liu, A. D. Maidment, P. Bakic  2012 , Simulation of Three Materials Partial Volume Averaging in a Software Breast Phantom  ,in Proc. Breast Imaging (IWDM) (LNCS)  7631 , Springer , 149-156 .
  3. J. Chu, D. Pokrajac, A. D. Maidment, P. Bakic  2012 , Towards Breast Anatomy Simulation using GPU  ,in Proc. Breast Imaging (IWDM), Lecture Notes in Computer Science (LNCS)  7361 , Springer , 506-513 .
  4. F. Chen, D. Pokrajac, F. Liu, A. D. Maidment, P. Bakic  2012 , Partial Volume Effect Simulation in Software Breast Phantoms  ,in Proc. SPIE 2012 Medical Imaging  8313 , SPIE , 83134U .
  5. J. Chui, D. Pokrajac, A. D. Maidment, P. Bakic  2012 , Roadmap for Efficient Parallelization of Breast Anatomy Simulation  ,in Proc. SPIE 2012 Medical Imaging  8313 , SPIE , 83134T1–83134T10 .
  6. F. Contijoch, J. M. Lynch, D. Pokrajac, A. D. Maidment, P. Bakic  2012 , Shape Analysis of Simulated Breast Anatomical Structures  ,in Proc. SPIE 2012 Medical Imaging  8313 , 83134J-1- 83134J-12 .
  7. T. Ferretti, D. Pokrajac, D. Strbac  2011 , Descriptors of Topographical Depressions: A Dimension Reducing Approach  ,in Proc. TELSIKS 2011 , IEEE , 559-562 .
  8. Dragoljub Pokrajac, Janko Milutinovic, Marko Petkovic, Keith Offen  2010 , Genetic Algorithms and Sequential Quadratic Programming for Uniform Placement of Points on Hypersphere  ,in Proc. SAUM .
  9. Janko Milutinovic, Dragoljub Pokrajac, Sam Kennerly  2010 , GA Optimization of Point Placement on a Hypersphere  ,in Proc. ICNPAA: 8th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences .
  10. Dragoljub Pokrajac, Tia Vance, Aleksandar Lazarevic, Aristides Marcano, Yuri Markushin, Noureddine Melikechi, Natasa Reljin  2010 , Performance of Multilayer Perceptrons for Classification of LIBS Protein Spectra  ,in Proc. NEUREL .
  11. T.Vance, N. Reljin, A. Lazarevic, D. Pokrajac, V. Kecman, N. Melikechi, A. Marcano, Y. Markushin, S. McDaniel  2010 , Classification of LIBS Protein Spectra using Support Vector Machines and Adaptive Local Hyperplanes  ,in Proc. IJCNN (International joint conference on neural networks) .
  12. N. Reljin, N. Pejcic, D. Pokrajac, A. Lazarevic, L. J. Latecki, T. Vance  2010 , Small Moving Targets Detection using Outlier Detection Algorithms  ,in Proc. SPIE Signal and Data Processing on Small Targets  7698 , SPIE .
  13. D.Pokrajac, C. Borcean, A. Johnson, A. Hobbs, L. Agodio, S. Nieves, M. Balbes, L. McCauley, J. Tice, N. Dare, J. McKie, B. Lombardo, BJ Self, J. Austin  2009 , Evaluation of Automated License Plate Reader Accuracy  ,in Proc. TELSIKS , IEEE , 217 - 220 .
  14. D. Pokrajac, N. Reljin, N. Pejcic, T. Vance, S. McDaniel, A. Lazarevic, R. Miezianko  2009 , Detection of suspicious activity using incremental outlier detection algorithms  ,in Proc. SPIE Signal and Data Processing on Small Targets  7445 , SPIE .
  15. N. Pejcic, N. Reljin, S.McDaniel, D. Pokrajac, A.Lazarevic  2009 , Detection of Moving Objects using Incremental Connectivity Outlier Factor Algorithm  ,in ACM-SE 47 Proceedings of the 47th Annual Southeast Regional Conference , ACM .
  16. A. Lazarevic, D. Pokrajac, A. Marcano, and N. Melikechi  2009 , Support Vector Machine based Classification of Fast Fourier Transform Spectroscopy of Proteins  ,in Proc. SPIE Photonic West  7169 , SPIE .
  17. R. Miezianko, D. Pokrajac  2008 , Detecting changes in multilayered orthoimages with spatiotemporal texture blocks  ,in Proc. 19th International Conference on Pattern Recognition, ICPR 2008 , 1-4 .
  18. N. Reljin, D. Pokrajac  2008 , Classification of performers using support vector machines  ,in Proc. NEUREL 2008 , IEEE , 165-169 .
  19. D. Pokrajac, N. Reljin, N. Pejcic, A. Lazarevic  2008 , Incremental Connectivity-Based Outlier Factor Algorithm  ,in Proc. 2008 international conference on Visions of Computer Science .
  20. N. Reljin, D. Pokrajac  2008 , The Application of Support Vector Machines for Classification of Audio Signals  ,in Proc. ICEST .
  21. R. Miezianko, D. Pokrajac  2008 , Localization of detected objects in multi-camera network  ,in Proc. ICIP 2008. 15th IEEE International Conference on Image Processing , IEEE , 2376- 2379 .
  22. R.Miezianko, D. Pokrajac  2008 , People Detection in Low-resolution Infrared Videos  ,in CVPRW '08. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops , IEEE , 1-6 .
  23. R. Miezianko, D. Pokrajac  2008 , Texture Dissimilarity Measures for Background Change Detection  ,in Proc. Image Analysis and Recognition, 5th International Conference, ICIAR, LNCS  5112 , Springer , 680-687 .
  24. R. Miezianko, D. Pokrajac  2008 , Detecting and Recognizing Abandoned Objects in Crowded Environments  ,in Proc. 6th International Conference, ICVS, LNCS  5008 , Springer , 241-250 .
  25. M. Petkovic, D. Pokrajac, L. J. Latecki, A. Lazarevic, N. Reljin, J. Milutinovic  2008 , Algorithms for Spherical Coverage Verification  ,in Proc. ICM .
  26. D. Pokrajac, M. Petkovic, L. J. Latecki, A. Lazarevic, N. Reljin, J. Milutinovic  2008 , Computational Geometry Issues of Reverse Nearest Neighbor Algorithm  ,in Proc. 7th Annual Hawaii International Conference on Statistics, Mathematics and Related Fields .

Book Articles

  1. N. Reljin, D. Pokrajac, and M. Reiter  2011 , Adaptive filters for processing water level data  ,Adaptive Filtering , INTECH .
  2. A. Marcano, D. Pokrajac, A. Lazarevic, M. Smith,Y. Markushin and N. Melikechi  2011 , Statistical Analysis for Automatic Identification of Ovarian Cancer Protein-Biomarkers Based on Fast Fourier Transform Infrared Spectroscopy  ,Fourier Transforms—New Analytical Approaches and FTIR Strategies, Practical skills , INTECH .
  3. D. Pokrajac  2007 , Autobiography in spoken words , DP, Belgrade .
  4. L. J. Latecki, R. Miezianko, D. Pokrajac, S. Gao  2006 , Selective Hypothesis Tracking in Surveillance Videos  ,Advances in Applied and Computational Mathematics , Nova Science Publishers .