Download Vladan Radosavljevic, Ph.D. - Center for Data Analytics and

Vladan Radosavljevic, Ph.D.
Contact
Information
Center for Data Analytics and Biomedical Informatics
office: +1-215-204-5773
Computer and Information Sciences, Temple University
cell: +1-267-252-4617
323 Wachman Hall, 1805 N. Broad St.
[email protected]
Philadelphia, PA 19122, USA
www.dabi.temple.edu/dabi/people/vladan
Research
Interests
Machine Learning, Data Mining, Spatial and Temporal Data Mining, Analysis of Big Data from
Heterogeneous and Partially Observable Sources, Seismic Data Processing, Multivariate Model
Predictive Control, Therapy Optimization, Social Networks Analysis.
Education
Ph.D., Computer and Information Sciences
Temple University, Philadelphia, USA, Advisor: Dr Zoran Obradovic
Thesis: Gaussian Conditional Random Fields in Remote Sensing
GPA: 4 out of 4
2006 – 2011
M.Sc. and B.Sc., Electrical Engineering
University of Belgrade, Belgrade, Serbia, Advisor: Dr Branimir Reljin
GPA: 9.48 out of 10
1997 – 2003
Academic
Appointments
DARPA Postdoctoral Fellow at Temple University
2012 – present
Philadelphia, USA, Mentor: Dr. Zoran Obradovic
• DARPA funded Predictive Modeling of Patient State and Therapy Optimization. Developing model predictive control methods for personalized optimization of therapeutic strategies.
Participated in writing of grant proposal. Published two papers in first six months.
• DARPA funded Prospective Analysis of Large and Complex Partially Observed Temporal
Social Networks. Developing a representationally powerful Gaussian Conditional Random
Field model for analysis of large and complex temporal social networks. Participated in writing
of grant proposal.
Work
Experience
Research Intern at Siemens Corporate Research
May 2011 – August 2011
Princeton, NJ, Mentor: Dr. Justinian Rosca
• Seismic Data Processing. Developed an alternative method for separation of overlapping
simultaneous sources from massive seismic data. The research resulted in a paper and in a
part of an invention.
• Smart Grid Applications. Designed and implemented a web based interactive tool relying on
OpenLayers map interface that visualizes results of assessment of communications technology
options for smart grid applications.
Research Intern at Siemens Corporate Research
May 2010 – August 2010
Princeton, NJ, Mentor: Dr. Mathaeus Dejori
• Long-Term Bridge Performance Program. Applied and evaluated machine learning and statistical methods for outlier detection, missing value imputation, and spatio-temporal prediction
of roadside weather data.
• GPS-based Analysis of Travel Behavior. Designed and implemented a model for map-matching
of large Global Positioning System (GPS) data onto a road map with millions of links. Developed a system for visualization of traffic data. Participated in writing and filling of an
invention disclosure.
Research Assistant at Temple University
2006 – 2011
Philadelphia, PA, Advisor: Dr. Zoran Obradovic
• NSF funded Discriminative Modeling Framework for Mining of Spatio-Temporal Data in Remote Sensing IIS-1117433. Developed methods for making the massive amounts of information
collected by NASAs satellites and ground based sensors more useful by improving the integration and estimation of the data. Created and implemented Gaussian Conditional Random
Field tool for regression on spatio-temporal data. Participated in writing of grant proposals.
Research Assistant at Faculty of Electrical Engineering
2003 – 2008
Belgrade, Serbia, Advisor: Dr. Branimir Reljin
• European Cooperation in the Field of Scientific and Technical Research, COST292 Work
Group 5 project. Worked on semantic analysis, retrieval and conceptualization for high level
annotation of digital audiovisual content.
Publications
[1] Ristovski∗ , K, Radosavljevic∗ , V., Obradovic, Z. ”Continuous Conditional Random Fields
for Efficient Regression in Large Fully Connected Graphs,” Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI-13), July 14-18, 2013, Bellevue, Washington, USA.
*-authors contributed equally
[2] Radosavljevic*, V., Ristovski*, K., Obradovic, Z. ”A Predictive Model for Optimization
of Treatment in Acute Inflammation,” BMC Medical Genomics, in review. *-authors
contributed equally
[3] Djuric, N., Radosavljevic, V., Obradovic, Z., Vucetic, S. ”Gaussian Conditional Random
Fields for Aggregation of Operational Aerosol Retrievals,” IEEE Transactions on Geoscience and Remote Sensing, in review.
[4] Radosavljevic∗ , V., Ristovski∗ , K., Obradovic, Z. ”A Data Mining Approach for Optimization of Acute Inflammation Therapy”, Proc. 2012 IEEE International Conference
on Bioinformatics and Biomedicine (BIBM), Philadelphia, PA, October 2012. *-authors
contributed equally
[5] Ristovski∗ , K, Radosavljevic∗ , V., Obradovic, Z. ”Kernel-based Characterization of Dynamics in a Heterogeneous Population of Septic Patients Under Therapy”, Int’l Conf. Machine Leaning Workshop on Machine Learning for Clinical Data Analysis (ICML Workshop), Edinburgh, Scotland, June 2012. *-authors contributed equally
[6] Claussen, H., Radosavljevic, V., Rosca, J. ”Multi-dimensional Coherence Deblending of
Simultaneous Sources”, Proc. IEEE Intl Geoscience and Remote Sensing Symposium
(IGARSS), Munich, Germany, July 2012.
[7] Djuric, N., Radosavljevic, V., Coric, V., Vucetic, S. ”Travel Speed Forecasting Using
Continuous Conditional Random Fields”, Transportation Research Record: Journal of
the Transportation Research Board, Network Modeling 2011, pp. 131-139, 2011.
[8] Radosavljevic, V., Vucetic, S., Obradovic, Z. ”A Data Mining Technique for Aerosol Retrieval Across Multiple Accuracy Measures”, IEEE Geoscience and Remote Sensing
Letters, vol. 7, no.2, pp. 411-415, 2010.
[9] Jun, G., Ghosh, J., Radosavljevic, V., Obradovic, Z. ”Predicting Ground-Based Aerosol
Optical Depth with Satellite Images via Gaussian Processes”, Proc. International Conference on Knowledge Discovery and Information Retrieval (KDIR), Valencia, Spain, October 2010.
[10] Radosavljevic, V., Vucetic, S., Obradovic, Z. ”Continuous Conditional Random Fields
for Regression in Remote Sensing”, Proc. 19th European Conf. on Artificial Intelligence
(ECAI), Lisbon, Portugal, August 2010.
[11] Radosavljevic, V., Vucetic, S., Obradovic, Z. ”Reduction of Ground-Based Sensor Sites for
Spatio-Temporal Analysis of Aerosols”, Proc. 3rd International Workshop on Knowledge
Discovery from Sensor Data at the 15th ACM SIGKDD Conf. Knowledge Discovery and
Data Mining (ACM SIGKDD Workshop), Paris, France, June 2009.
[12] Radosavljevic, V., Vucetic, S., Obradovic, Z. ”Spatio-Temporal Partitioning for Improving
Aerosol Prediction Accuracy”, Proc. Eight SIAM Int’l Conf. on Data Mining (SDM),
Atlanta, GA, USA, 24-26 April 2008.
[13] Zhuang, W., Radosavljevic, V., Han, B., Obradovic, Z., Vucetic, S. ”Aerosol Optical Depth
Prediction from Satellite Observations by Multiple Instance Regression”, Proc. Eight
SIAM Int’l Conf. on Data Mining (SDM), Atlanta, GA, USA, 24-26 April 2008.
Awards
Outstanding Graduate Teaching Assistant Award
Computer and Information Sciences Department, Temple University, Philadelphia
2010
1st Prize, Graduate Student Project Competition
Computer and Information Sciences Department, Temple University, Philadelphia
2008, 2009
Temple University Graduate Fellowship
Temple University, Philadelphia
2006 – 2010
Fellowship for Postgraduate Students
Serbian Ministry of Science and Technology
2003 – 2008
Award for Excellent Academic Performance
Embassy of Norway, Belgrade
The First Place in Programming, The Third Place in Mathematics
National Competition, Serbia
2001
1996, 1997
Teaching
Experience
Computer and Information Sciences Department
2008 – 2011
Temple University, Philadelphia, PA
• Courses. Program Design and Abstraction (Java), Object-Oriented Programming (Java),
Introduction to Distributed Systems and Networks (C/C++/Java), Computer Programming
in C (C), Project in CIS, Data Structures (Java).
Skills
Programming Languages and Tools
Matlab, Java, Python, C, Hadoop Streaming, Javascript, OpenLayers.