Dr Dragoljub Pokrajac-Pokie
Assistant professor

RESEARCH

Research Interests:

	Homeland Security/ Video Surveillance
	Signal Processing
	Databases
	Classification of Medical Images
	Computational Geometry
	Bioinformatics
	Data Mining
	Statistics
	Machine Learning

Current Grants:

	NEW! Creation of the Center for Research and Education in Optical Sciences and Applications (CREOSA) at Delaware State University, NSF, PI of the subproject
	Delaware State University Applied Mathematics Research Center, DOD/DoA, Co-PI
	MRI, Acquisition of a High Performance Computational Cluster at an HBCU for the Support of a Research and Research Training in Computer Science, Engineering and Physics, NSF, Co-PI
	Seeds of Success: A Comprehensive Program for the Retention, Quality Training, and Advancement of STEM Students, NSF, Senior personnel--Project Leader
	Delaware IDeA Network of Biomedical Research Excellence, NIH, Affiliated Faculty

Selected Papers:

Homeland Security/Video Surveillance/Data Mining

NEW!D. Pokrajac, A. Lazarevic, L.J. Latecki, “Incremental Local Outlier Detection for Data Streams,” accepted for IEEE Symposium on Computational Intelligence and Data Mining, 2007, draft.

L. J. Latecki, R. Miezianko, V. Megalooikonomou, D. Pokrajac, “Using Spatiotemporal Blocks to Reduce the Uncertainty in Detecting and Tracking Moving Objects in Video,” International Journal of Intelligent Systems Technologies and Applications, Vol. 1, No 3-4, pp. 376-392, 2006.

V. Zeljkovic, D. Pokrajac, “Improved Spatial-Temporal Moving Object Detection Method Resistant to Noise,” In Proc. ICEST 2006.

V. Zeljkovic, D. Pokrajac, “Motion Detection Based Multimedia Supported Intelligent Video Surveillance System,” In Proc. 48^th International Symposium ELMAR-2006.
L. J. Latecki, R. Miezianko, D. Pokrajac, “Reliability of Motion Features in Surveillance Videos,” Integrated Computer- Aided Engineering, 2005.

L. J. Latecki, R. Miezianko, D.Pokrajac, “Tracking Motion Objects in Infrared Videos,” in Proc. AVSS 2005.

D. Pokrajac, V. Zeljkovic, L.J. Latecki, “Spatial-Temporal Algorithm for Moving Objects Detection in Infra Red Video Sequences,” In Proc. TELSIKS 2005.

V. Zeljkovic, D. Pokrajac, “Improved Illumination Independent Moving Object Detection Algorithm in Infrared Video Sequences”, In Proc. ICEST 2005.

L. J. Latecki, R. Miezianko, D.Pokrajac, “Activity and Motion Detection Based on Measuring Texture Change,” 5th Industrial Conference on Data Mining ICDM´2005, Leipzig, 2005.

V. Zeljkovic, D. Pokrajac, L. J. Latecki “Noise-Robust Spatial-Temporal Algorithm for Moving Object Detection,” In Proc. 49th ETRAN, 2005.

D. Pokrajac, V. Zeljkovic, L. J. Latecki, “Noise-Resilient Detection of Moving Objects Based on Spatial-Temporal Blocks,” In Proc. 47^th International Symposium ELMAR-2005 focused on Multimedia Systems and Applications, 2005.

V. Zeljkovic, D. Pokrajac, A. Dorado, and E. Izquierdo, “Application of the Improved Illumination Independent Moving Object Detection Algorithm on the Real Video Sequence,” In Proc. 6^th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2005.

L. J. Latecki, R. Miezianko, D.Pokrajac, “Instantaneous Reliability Assessment of Motion Features in Surveillance Videos Presentation,” IS&T/SPIE Symposium on Electronic Imaging, 2005.

D. Pokrajac, L. J. Latecki, R. Miezianko, “Evaluating Reliability of Motion Features in Surveillance Videos,” NIST Performance Metrics for Intelligent Systems Workshop (PerMIS ’04), 2004.

L. J. Latecki, R. Miezianko, D. Pokrajac, “Motion Detection Based on Local Variation of Spatiotemporal Texture,” OTCBVS04, 2004.

D. Pokrajac, L. J. Latecki, “Entropy-Based Approach for Detecting Feature Reliability,” 48^th ETRAN, 2004.

D. Pokrajac, L. J. Latecki. “Spatiotemporal Blocks-Based Moving Objects Identification and Tracking,” Joint International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS), 2003.

Databases

D. Pokrajac, M. Rasamny, “Interactive Virtual Expert System for Advising,” Proc. 36^th ASEE/IEEE Frontiers in Education

Conference, 2006.

D. Pokrajac, H.Patel, M.Rasamny, “Inheritance Constraints Implementation in PostgreSQL,“ 48^th ETRAN, 2004.

H.Patel, F.Hudnall, N.Cenat,T.King, M.Rasamny, D.Pokrajac, “Interactive Virtual Expert System for Advising (InVEStA),” ADMI’04, 2004.

Classification of Medical Images

D. Pokrajac, V. Megalooikonomou, A. Lazarevic, D. Kontos, Z. Obradovic, “Applying Spatial Distribution Analysis Techniques to Classification of 3D Medical Images,” Artificial Intelligence in Medicine, Vol. 33, pp. 261-280, 2005.

D. Kontos, V. Megalooikonomou, D. Pokrajac, A. Lazarevic, Z. Obradovic, O. B. Boyko, J. Ford, F. Makedon, A. J. Saykin, “Extraction of Discriminative Functional MRI Activation Patterns and an Application to Alzheimer’s Disease,” MICCAI, 2004.

V. Megalooikonomou, D. Kontos, D. Pokrajac, A. Lazarevic, Z. Obradovic, O. Boyko, A. Saykin, J. Ford, F. Makedon. "Classification and Mining of Brain Image Data Using Adaptive Recursive Partitioning Methods: Application to Alzheimer Disease and Brain Activation Patterns," OHBM'03 (Organization for Human Brain Mapping), 2003.

Bioinformatics

D. Pokrajac, A. Lazarevic, “Unsupervised Neural Networks In Data Mining,” accepted to Facta

Universitatis, Ser. Elect. and Energ.

D. Pokrajac, A.Lazarevic, T.Singleton, Z.Obradovic, “Localized Neural Network Based Distributional Learning for Knowledge Discovery in Protein Databases,“ Proc. International Joint Conference on Neural Networks, 2004.

S.Vucetic, D. Pokrajac, H. Xie, and Z.Obradovic “Detection of Unusual Biological Sequences Using Class-Conditional Distribution Models,” Third SIAM International Conference on Data Mining, 2003.

Telecommunications and signal processing

NEW!Z. Peric, J. Nikolic, D. Pokrajac, “Hybrid Scalar Quantizer for the Laplacian Source,” WSEAS Transactions on Communications, Vol. 6, No 1, pp. 60-65, 2007.

N. Robinson, D. Pokrajac, M. Harrington, K. Patel, “Analysis of Mollusk Brain Signals Recorded by a Multi-Electrode Array,” In Proc. 50th ETRAN, 2006.

Z. Peric, J. Nikolic, D. Pokrajac, “Construction of Optimal Scalar Quantizers for Laplacian Source, “ International Scientific Journal of Computing, 2006.

Z. Peric, J. Nikolic, D. Pokrajac, “Optimal Designing Scalar Quantizers using a Hybrid Quantization Method for the Laplacian Source,” Proc. WSEAS 2006.

Z. Peric, J. Nikolic, D. Pokrajac, “Analysis of Support region for Laplacian Source’s Scalar Quantizers,” Proc. TELSIKS 2005.