Center for Information Science and Technology
Temple University, 304 Wachman Hall (038-24)
1805 N. Broad St., Philadelphia, PA 19122, USA
Office phone: (215)204-5535
Knowledge Discovery in Sequence, Time and Spatial Data, Scientific Data Mining, Text and Web Mining, Machine Learning, Bioinformatics, Artificial Intelligence, Information Theory, Databases, Digital Signal Processing, Linear and Nonlinear Systems.
Undergraduate and advanced courses related to Machine Learning, Data Mining, Bioinformatics, Neural Networks, Databases, Artificial Intelligence, Algorithms, Data Structures.
Ph.D., Electrical Engineering - Systems, Washington State University, 2001
M.S., Electrical Engineering – Communications, University of Novi Sad, Serbia, 1997
B.S., Electrical Engineering – Communications, University of Novi Sad, Serbia, 1994
(since Jul 2002) Assistant Professor at the Computer and Information Sciences Department, College of Science and Technology, Temple University, Philadelphia.
(Sep 2001 - Jun 2002) Visiting Assistant Professor at the Center for Information Sciences and Technology, Temple University, Philadelphia.
(Jan 1998 - Aug 2001) Research Assistant in the Data Analysis and Modeling for Nontrivial Knowledge Discovery in Databases group, Washington State University, Pullman.
(Aug 1997 – May 1999) Teaching Assistant for various courses in the School of Electrical Engineering and Computer Science, Washington State University, Pullman.
(Jan 1995 – Jun 1997) Teaching Assistant at the Department of Theoretical Electrical Engineering, University of Novi Sad, Serbia.
Assistant Professor, Department of Computer and Information Sciences, Temple University, Philadelphia.
CIS071, Spring and Fall 2006, Spring 2007 Introduction to Computing and Computer Programming (Undergraduate Course)
CIS611, Spring 2005 Data Management (Graduate Course).
CIS595, Spring 2005: Bioinformatics (Graduate Course)
CIS616, Spring 2005: Data Management (Graduate Course)
CIS527, Fall 2004: Data Warehousing, Filtering, and Mining (Graduate Course)
CIS525, Spring 2004: Neural Computation (Graduate Course)
CIS526, Fall 2003 - Machine Learning (Graduate Course)
CIS595, Spring 2003 – Bioinformatics (Graduate Course)
CIS670, Fall 2002 – Advanced Topics in Database Systems (Graduate Course)
Visiting Assistant Professor, Department of Computer and Information Sciences, Temple University, Philadelphia, Sep 2001 -Jun 2002.
CIS595, Spring 2002 – Machine Learning (Graduate Course)
CIS350,
Spring 2002 – Introduction to Neural Networks (Undergraduate
Course)
CIS350,
Fall 2001 – Introduction to Data Mining and Knowledge Discovery
(Undergraduate Course)
Teaching
Assistant, School of Electrical Engineering and Computer Science, Washington
State University, Aug 1997 – May 1999.
Program Design and Development, Visual BASIC Programming, Electrical Circuits Laboratory, Electronics (Undergraduate Courses)
Teaching
Assistant, Department of Theoretical Electrical Engineering, University of Novi
Sad, Serbia, Jan 1995 – Jun 1997.
Fundamentals of Electrical Engineering (Undergraduate Course)
Current
Obradovic, Z., Vucetic, S., and Z. Li (Aug. 2006 - Jul. 2009) "Collaborative Research: Data Mining Support for Retrieval and Analysis of Geophysical Parameters," National Science Foundation, $600,404 ($400,207 to Temple University).
Vucetic, S., (Feb 2006 - Feb 2011) "CAREER: Memory-Constrained Predictive Data Mining," National Science Foundation, $450,000.
Soprano, D.R., Soprano, K.J., Obradovic, Z. and Vucetic, S. (Apr 2005 - Dec 2009) "PBX and Retinoic Acid-Dependent Differentiation," National Institutes of Health, $1,125,000.
Obradovic, Z. and Vucetic. S. (Jan 2004 - May 2008) "Applications of Bioinformatics Data Analysis to Cardiovascular and Cancer Research," Pennsylvania Department of Health, $250,000.
Expired
Obradovic, Z. and Vucetic, S. (Aug 2002 - Aug 2006) "ITR/SMALL/Scientific Frontiers: Task-Specific Data Reduction and Mining in Spatial-Temporal Domains," National Science Foundation, Grant 0219736, $210,120.
Obradovic, Z. and Vucetic, S. (Jan 2004 - Jun 2004) "Research Infrastructure and Expertise for Gene Expression Data Analysis," The Pennsylvania Department of Health, $70,000.
Obradovic, Z. and Vucetic, S., (Jun 2004 - Aug 2004) "REU Supplement for ITR: Task-Specific Data Reduction and Mining for Spatial-Temporal Domains," National Science Foundation, $12,000.
Vucetic, S. (Jan 2003 - Jun 2004) "Bioinformatics Approach to Protein Disorder Characterization," Pennsylvania Department of Health, $33,000.
Wolfgang, P., Lakaemper, R., Megalooikonomou, V., Obradovic, Z., and Vucetic, S. (May 2003 - May 2004) "Visualization and Analysis of Commercial Flight Data," Lockheed Martin Corp, $55,000.
Vucetic, S., Han, B., Mi, W., Li, Z., Obradovic, Z., A Data Mining Approach for the Validation of Aerosol Retrievals, IEEE Geoscience and Remote Sensing Letters, accepted.
Krynetskaia, N., Xie, H., Vucetic, S., Obradovic, Z., Krynetskiy, E., High Mobility Group Protein B1 is an Activator of Apoptotic Response to Antimetabolite Drugs, Molecular Pharmacology, Published October 19, 2007; doi: 10.1124/mol.107.041764.
Xie, H., Vucetic, S., Iakoucheva, L.M., Oldfield, C.J., Dunker, A.K., Uversky, V.N., Obradovic, Z., Functional Anthology of Intrinsic Disorder. I. Biological Processes and Functions of Proteins with Long Disordered Regions, Journal of Proteome Research, 6 (5), 1882 -1898, 2007.
Vucetic, S., Xie, H., Iakoucheva, L.M., Oldfield, C.J., Dunker, A.K., Obradovic, Z., Uversky, V.N., Anthology of Intrinsic Disorder. II. Cellular Components, Domains, Technical Terms, Developmental Processes and Coding Sequence Diversities Correlated with Long Disordered Regions, Journal of Proteome Research, 6 (5), 1899 -1916, 2007.
Xie, H., Vucetic, S., Iakoucheva, L.M., Oldfield, C.J., Dunker, A.K., Obradovic, Z., Uversky, V.N., Functional Anthology of Intrinsic Disorder. III. Ligands, Postranslational Modifications and Diseases Associated with Intrinsically Disordered Proteins, Journal of Proteome Research, 6 (5), 1917 -1932, 2007.
Han, B., Obradovic, Z., Hu, Z.Z., Wu, C. H., Vucetic, S., Substring Selection for Biomedical Document Classification, Bioinformatics, Vol. 22 (17), pp. 2136-2142, 2006.
Han, B., Vucetic, S., Braverman, A., Obradovic, Z., A Statistical Complement to Deterministic Algorithms for the Retrieval of Aerosol Optical Thickness from Radiance Data, Engineering Applications of Artificial Intelligence, Vol. 19, No. 7, pp. 787-795, 2006.
Peng, K., Radivojac, P., Vucetic, S., Dunker A.K, Obradovic, Z., Length-Dependent Prediction of Protein Intrinsic Disorder, BMC Bioinformatics, vol. 7 (1), 208, 2006.
Radivojac, P., Vucetic, S., O'Connor, T.R., Uversky, V.N., Obradovic, Z., Dunker, A.K., Calmodulin Signaling: Analysis and Prediction of a Disorder-Dependent Molecular Recognition, Proteins: Structure, Function, and Bioinformatics, vol. 63(2), pp. 398-410, 2006.
Obradovic, Z., Peng, K., Vucetic, S., Radivojac, P., Dunker A.K, Exploiting Heterogeneous Sequence Properties Improves Prediction of Protein Disorder, Proteins: Structure, Function, and Bioinformatics, Vol 61, Suppl 7, pp.176-82, 2005.
Vucetic, S., Obradovic, Z., Collaborative Filtering Using a Regression-Based Approach, Knowledge and Information Systems, Vol. 7, No. 1, pp. 1-22, 2005.
Vucetic, S., Obradovic, Z., Vacic, V., Radivojac, P., Peng, K., Iakoucheva, L.M., Lawson, J.D., Brown, C.J., Sikes, J.G., Newton, C., Dunker, A.K., DisProt: A Database of Protein Disorder, Bioinformatics, Vol. 21, No. 1, pp. xx-xx, 2005.
Obradovic, Z., Peng, K., Vucetic, S., Radivojac, P., Brown C., Dunker
A.K, Prediction of Intrinsic Protein Disorder, Proteins: Structure, Function
and Genetics, Special Issue on CASP5, Vol. 53, Suppl 6, pp. 566-72, 2003.
Vucetic, S., Brown C., Dunker A.K and Obradovic, Z., Flavors of Protein Disorder, Proteins: Structure, Function and Genetics, Vol. 52, pp. 573-584, 2003.
Vucetic,
S., Tomsovic, K. and Obradovic, Z., Discovering Price-Load Relationships
in California’s Electricity Market, IEEE Transactions on Power Systems,
Vol. 16, No. 2, pp. 280-286, 2001.
Vucetic,
S., Fiez, T. and Obradovic, Z., Examination of the Influence of Data
Aggregation and Sampling Density on Spatial Estimation, Water Resources
Research, Vol. 36, No. 12, pp. 3721-3731, 2000.
Xie, H., Midic, U., Vucetic, S., Obradovic, Z., Algorithmic Methods for the Analysis of Gene Expression Data, In A. Nayak and I. Stojmenovic, Editors, Handbook of Applied Algorithms: Solving Scientific, Engineering and Practical Problems, John Wiley & Sons, Inc, in press.
Han, B., Obradovic, Z., Vucetic, S., Using Statistical Methods to Improve Efficiency and Accuracy of Aerosol Retrievals, in Advances in Applied and Computational Mathematics, Vol 2, Nova Science Publisher, in press.
Obradovic, Vucetic, S., Challenges in Scientific Data Mining: Heterogeneous, Biased and Large Samples, In H. Kargupta, A. Joshi, K. Sivakumar, Y. Yesha, Editors, Data Mining: Next Generation Challenges and Future Directions, AAAI/MIT Press, pp. 381-401, 2004.
Peng, K., Obradovic, Z., Vucetic, S., Supervised Learning Under Sample Selection Bias from Protein Structure Databases, in Advances in Applied and Computational Mathematics, Nova Science Publisher, 2006.
Radosavljevic, V., Vucetic, S., Obradovic, Z., Spatio-Temporal Partitioning for Improving Aerosol Prediction Accuracy, Proc. 2008 SIAM Conf. on Data Mining (SDM), Atlanta, GA, 2008.
Radosavljevic, V., Vucetic, S., Obradovic, Z., Aerosol Optical Depth Retrieval by Neural Networks Ensemble with Adaptive Cost Function, 10th Int'l Conf. on Engineering Applications of Neural Networks (EANN), Thessaloniki, Greece, 2007.
Malbasa, V., Vucetic, S., A Reservoir Sampling Algorithm with Adaptive Estimation of Conditional Expectation, Proc. Int'l Joint Conf. on Neural Networks, Orlando, FL, 2007.
Vucetic, S,. Sun, H., Aggregation of Location Attributes for Prediction of Infection Risk, Workshop on Spatial Data Mining: Consolidation and Renewed Bearing, at the 2006 SIAM Conference on Data Mining (SDM), Bethesda, MD, 2006.
Xie, H., Obradovic, Z., Vucetic, S., Mining of Microarray, Proteomics, and Clinical Data for Improved Identification of Chronic Fatigue Syndrome, 6th International Conference for the Critical Assessment of Microarray Data Analysis (CAMDA 2006), Durham, NC, 2006.
Obradovic, Z, Han, B., Xu, Q., Li, Y., Braverman, A., Li, Z., Vucetic, S., Data Mining Support for Aerosol Retrieval and Analysis - Project Summary, Second NASA Data Mining Workshop, Pasadena, CA, 2006.
Han,B., Obradovic, Z., Li, Z., Vucetic, S., Data Mining Support for Improvement of MODIS Aerosol Retrievals, IEEE International Geoscience and Remote Sensing Symposium 2006 (IGARSS), Denver, CO, 2006.
Vucetic, S., A Fast Algorithm for Lossless Compression of Data Tables by Reordering, Data Compression Conference (DCC), Snowbird, Utah, 2006.
Han, B., Vucetic, S., Braverman, A., Obradovic, Z., Construction of an Accurate Geospatial Predictor by Fusion of Global and Local Models, The 8th Int’l Conf. on Information Fusion, Philadelphia, PA, 2005.
Xu, Q., Han, B., Li, Y., Braverman, A., Obradovic, Z., Vucetic, S., Improving Aerosol Retrieval Performance by Integrating AERONET, MISR, and MODIS Data Products, The 8th Int’l Conf. on Information Fusion, Philadelphia, PA, 2005.
Han, B., Vucetic, S., Braverman, A., Obradovic, Z., Integration of Deterministic and Statistical Algorithms for Aerosol Retrieval, The 9th Int'l Conf. on Engineering Applications of Neural Networks (EANN), Lille, France, 2005.
Vucetic , S., Accuracy-Optimized Quantization for High-Dimensional Data Fusion, Data Compression Conference (DCC), Snowbird, Utah, 2005.
Peng, K., Vucetic, S., Obradovic, Z., Correcting Sampling Bias in Structural Genomics through Iterative Selection of Underrepresented Targets, 2005 SIAM Conf. on Data Mining (SDM), Newport Beach, CA, 2005.
Peng, K., Obradovic, Z., Vucetic, S., Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets, 16th European Conference on Artificial Intelligence (ECAI), Valencia, Spain, 2004.
Radivojac, P., Obradovic, Z., Dunker, AK, Vucetic, S., Characterization of Permutation tests for feature selection, 15th European Conference on Machine Learning (ECML), 2004.
Peng, K., Obradovic, Z., Vucetic, S., Exploring Bias in the Protein Data Bank Using Contrast Classifiers, Pacific Symposium on Biocomputing (PSB), Hawaii, 2004.
Peng, K., Vucetic, S., Han, B., Xie, X., Obradovic, Z., Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining, Third IEEE Int'l Conf. on Data Mining (ICDM), Melbourne, FL, 2003.
Han, B., Vucetic, S., and Obradovic, Z., Reranking Medline Citations By Relevance To a Difficult Biological Query," Proc. IASTED Int'l Conf. Neural Networks and Computational Intelligence, Cancun, Mexico, 2003.
Vucetic, S., Pokrajac, D., Xie H. and Obradovic, Z., Detection of Underrepresented Biological Sequences Using Class-Conditional Distribution Models, Proc. 2003 SIAM Conf. on Data Mining (SDM), San Francisco, CA, 2003.
Dunker, A.K., Brown. C.J, Lawson, J.D., Iakoucheva-Sebat, L.M., Vucetic, S. and Obradovic, Z., The Protein Trinity: Structure/Function Relationships that Include Intrinsic Disorder, Proc. 2002 Miami Nature Biotechnology Winter Symp., The Scientific Word, 2(S2), 49-50, 2002.
Vucetic,
S. and Obradovic, Z., Classification on Data with Biased Class
Distribution, 12th European Conference on Machine Learning (ECML), pp. 527-538,
Freiburg, Germany, 2001.
Vucetic,
S., Radivojac, P., Dunker, K., Brown, C., Obradovic, Z., Methods for
Improving Protein Disorder Prediction, Int'l Joint Conf. on Neural Networks
(IJCNN),
pp. 2718-2723, Washington D.C, 2001.
Vucetic,
S. and Obradovic, Z., A Regression-Based Approach for Scaling-Up
Personalized Recommender Systems in E-Commerce, Workshop on Web Mining for
E-Commerce, at the Sixth ACM SIGKDD Int’l Conf. on Knowledge Discovery and
Data Mining (KDD), Boston, MA, 2000.
Vucetic,
S. and Obradovic, Z., Discovering Homogeneous Regions in Spatial Data
through Competition, Proc. 17th Int'l. Conf. on Machine Learning (ICML), pp.
1091-1098, Stanford, CA, 2000.
Vucetic,
S. and Obradovic, Z., Performance Controlled Data Reduction for
Knowledge Discovery in Distributed Databases, Proc. Pacific-Asia Conf. on
Knowledge Discovery and Data Mining (PAKDD), Computer Science Editorial 3, Springer-Verlag,
pp. 29-39, Kyoto, Japan, 2000.
Vucetic,
S. and Obradovic, Z. A Constructive Competitive Regression Method for
Analysis and Modeling of Non-stationary Time Series, Proc. The First Int'l
Workshop on Computational Intelligence in Economics and Finance, at the
Fifth Joint Int’l Conf. on Information Science, vol. 2, pp. 978-981,
Atlantic City, NJ, 2000.
Vucetic,
S., Fiez, T. and Obradovic, Z. A Data Partitioning Scheme for Spatial
Regression, Proc. IEEE/INNS Int'l Conf. on Neural Neural Networks (IJCNN),
Washington D.C., 1999.
Pokrajac,
D., Lazarevic, A., Vucetic, S., Fiez T. and Obradovic Z., Image
Processing in Precision Agriculture, Proc. IEEE Int'l Conf. on
Telecommunications in Modern Satellite, Cable and Broadcasting Services,
vol. 2, pp. 616-619, Nis, Serbia, 1999.
Vucetic,
S., Senk, V. On the Branching Process Analysis of the Average Number of
Computations of the Stack Algorithm, Proc. XLI Yugoslav Conf. on ETRAN,
Zlatibor, 1997.
Radivojac,
P., Vucetic, S. An Improved Trellis Code Search Procedure for Speech
Compression, Proc. XLI Yugoslav Conf. on ETRAN, Zlatibor, 1997.
Emilia L. Oleszak, Xiaoying Zhang, Wan-Lu Lin, S. Lu, J. Robert Chang, Alexander Tsygankov, Christos D. Katsetos, Agustin Legido, Huntley Hardison, Meena Bhattacharje, Glenn Rudner, Dimitri S. Monos, Kang Peng, Slobadan Vucetic, Zoran Obradovic, Sibylle Herzog, Karl Bechter, Chris D. Platsoucas, Immunopathology of Multiple Sclerosis and Psychoses, 9th Psychoimmunology Conference: Neuropsychoimmunology, Gunzburg, Germany, 2007. (Poster)
Vucetic, S., Substring Selection for Biomedical Document Classification, ACM First International Workshop on Text Mining in Bioinformatics, 2006. (Invited Talk)
Hu, Z.Z., Liu, H., Han, B., Huang, H., Mazumder, R., Yuan, X., Obradovic, Z., Vijay-Shanker, K., Vucetic, S., Wu, C.H., Literature Mining at the Protein Information Resource (PIR), International Conference on Intelligent Systems for Molecular Biology, Fortaleza, Brazil, August, 2006. (Poster)
Ruggieri, M., Braverman, A., Obradovic, Z., Patel, D., Vucetic, S., Xie, H., Regulation of Bladder Gene Expression by Outlet Obstruction, Denervation and Urinary Diversion Revealed by Microarray Analysis, 35th Annual Meeting of the International Continence Society, #510, Montréal, Canada, 2005. (Poster)
Xie, H., Vucetic, S., Sun, H., Hegde, P., Obradovic, Z., Characterization of Gene Functional Expression Profiles of Plasmodium Falciparum, Critical Assessment of Microarray Data Analysis, Durham, NC, 2004 (Poster)
Obradovic, Z., Vucetic, S., Peng, K, Han, B., Data Mining for Efficient and Accurate Large Scale Retrieval of Geophysical Parameters, Eos Trans. AGU, 85(47), Fall Meet. Suppl, Abstract NG34A-01, 2004. (Invited Talk)
Vucetic, S., Brown, C. J., Dunker, A.K. and Obradovic, Z., Discovering Flavors of Intrinsically Disordered Regions, 15th Symposium of the Protein Society, Philadelphia, PA, 2001. (Poster)
Drossu, R., Fiez, T., Lazarevic, A., Pokrajac, D., Vucetic, S., Obradovic, Z., Use of Terrain Analysis in Yield Map Interpretation, 1st Int. Conf. on Geographical Information Systems in Agriculture and Forestry, Orlando, FL, 1998. (Poster)
Master's Thesis, Projects and Independent Studies
Masters Projects: Xiaolu Ma (Fall 2002), Bryce Nichols (Fall 2002), Xiaoyong Wu (Spring 2003), Vladimir Vacic (Spring 2004), Tek Lo (Fall 2005).
Master's Thesis: Hao Sun (Fall 2004), Pooja Hedge (Spring 2005), Swetha Nandyala (Spring 2005).
Ph.D. Committees
PhD Committee Member for Nagesh Adluru, Hongbo Xie, Bo Han, Kang Peng, Roland Miezaninko, Predrag Radivojac.
Examining Committee Chair for Ph.D. thesis examination of Kang Peng, Predrag Radivojac.
Current students
Advising Ph.D. students Gregory Johnson, Haidong Shi, Mihajlo Grbovic, Vuk Malbasa, Zhuang Wang
Advising M.S. students Liang Lan
Program committee member:
Invited Session Organizer, Interface 2007.
International Conference on Intelligent Systems for Molecular Biology, 2006, 2007.
IEEE 21st International Conference on Advanced Information Networking and Applications, 2007
ACM CIKM Workshop on Text Mining in Bioinformatics, 2006.
NSF Panel Member - Grant proposal review for CISE Directorate 2004, 2006.
Reviewer for:
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2007.
Pacific Symposium on Biocomputing, 2005, 2006, 2007.
Information Systems, 2006.
IEEE Transactions on Systems, Man and Cybernetics 2003, 2006.
Kentucky Initiative - Grant proposal review 2004, 2005.
Best Technological Innovation Award, Serbian Science Foundation - Grant proposal review, 2005.
Knowledge and Data Engineering, 2005.
International Conference on Machine Learning and Data Mining, 2005.
IEEE Transactions on Neural Networks 2004.
IEEE Transactions on Power Systems 2003, 2005.
SIAM International Conf. on Data Mining, San Francisco, CA, 2003.
International Conference on Intelligent Systems for Molecular Biology, 2002.