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Anu R. Pradhan
Assistant
Professor,
Department of
Civil, Architectural and Environmental Engineering,
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Student Opportunities Available!!
I am looking for graduate students (with a strong computing background) who are interested in leveraging statistical data mining techniques to solve infrastructure management, transportation and construction engineering problems. Preference will be given to PhD candidates with Masters degree. Exceptional candidates will receive an attractive research assistantship package with full tuition waiver and other benefits. Interested students should contact me by e-mail.
Education
PhD, Civil Engineering,
MS, Civil Engineering,
Research Interests
Multi-Source Data Fusion to Support Infrastructure Management Tasks
Statistical Machine Learning and Data Mining
Artificial Intelligence Planning
Geographical Information System
High Performance Parallel Computing
Sensing devices (e.g., Radio Frequency Identification Devices, Airborne and Terrestrial Light Ranging and Detection (LIDAR))
Courses Taught
CIVE 790/380 Introduction to GIS – Fall 2009
CIVE 615 Infrastructure Condition Assessment – Winter 2010
Journal Publications
1. Akinci, B. Karimi, H., Pradhan, A., Wu, C., Fichtl, F. CAD and GIS Interoperability through Semantic Web Services, ITCcon, Vol. 13, pp. 39-55 (2008)
2. Pradhan, A., Laefer, D.F., Rasdorf, W. J. Infrastructure Management System Framework Requirements for Disasters, Journal of Computing in Civil Engineering, ASCE, Vol 21, Issue 2, pp 90-101 (2007).
3. Laefer, D., and Pradhan, A. Evacuation Route Selection Based on Tree-based Hazards using Light Detection and Ranging and GIS, Journal of Transportation Engineering, ASCE, Vol 132, Issue 4, pp. 312-320 (2006).
4. Laefer, D., Koss, A., Pradhan, A. The Need for Baseline Data
Characteristics for GIS-Based Disaster Management Systems, Journal of Urban
Planning and Development, ASCE, Vol. 132, Issue 3, pp. 115-119 (2006).
5. Pradhan, A., Ergen, E., Akinci, B. Technological Assessment of Radio Frequency Identification Technology for Indoor Localization, Journal of Computing in Civil Engineering, ASCE, Vol 23, Issue 4, pp. 230-238.
Book Chapter
1. Kiziltas, S., Akinci, B., Ergen, E., Tang, P., Pradhan, A.
Field Technologies and their Impact on Management of Supply Chains. Construction
Supply Chain Management Handbook, Edited by OBrien,
W. J., Formoso, C. T., Vrijhoef,
R., London, K.A., CRC Press, 2007, USA.
Conference Proceedings and Symposiums
1. Akinci, B., Pradhan,
A., Kiziltas, S. (2008), Analyses of
Data Sources for Multi-source Data Fusion to Support Project Management Tasks. National
Science Foundation CMMI Grantee Conference, Jan 7-10,
2008,
2. Kiziltas, S.,
Pradhan, A., Akinci, B. (2007). Fusing data
from multiple sources to support project management tasks. International Workshop on Computing in Civil Engineering, ASCE,
July 24-27, 2007,
3. Pradhan, A. and Akinci, B. (2007) A Planning
Based Approach for Fusing Data from Multiple Sources for Productivity
Monitoring. Construction Research
Congress, May6-8, 2007,
4. Akinci,
B. Kiziltas, S., Pradhan, A. (2006) Capturing
and Representing Construction Project Histories for Estimating and Defect
Detection. 13th EG-ICE Workshop, June
25-30, 2006,
5. Kiziltas, S., Pradhan, A., Akinci B. (2006) Developing Integrated
Project Histories by Leveraging Multi-Sensor Data Fusion. Joint
International Conference on Computing and Decision Making in Civil and Building
Engineering, ICCCBE 2006, June
14-16. 2006,
6. Laefer, D., Pradhan, A. (2006) GIS-Based Disaster Management Systems: Cogent Data Framework TRB 85th Annual Meeting Compendium of Papers CD-ROM, Report 06-2076, 2006
7. Pradhan, A., Akinci, B., Garrett, Jr., J. (2009)
Development and Testing of RFID-based Inertial Measurement System for Indoor
Localization, 2009 ASCE
International Workshop on Computing in Civil Engineering, Austin, TX
8. Pradhan, A., Rasdorf. W. J. (2009) GIS and LiDAR Use for Identification of Potential Road Hazard Locations, 2009 ASCE International Workshop on Computing in Civil Engineering, Austin, TX
Publications under Review/Preparation
1. Pradhan, A., Akinci, B. Planning Based Approach for Fusing Data from Multiple Data Sources for Construction Productivity Monitoring (In Review)
2. Pradhan, A., Akinci, B. Formalism for Capturing User Queries and Identifying Applicable Data Sources to Support Construction Productivity Monitoring (In Review)
Affiliations
1. American
Association for Artificial Intelligence
2. Member
of International High IQ Society
3. Member of
National Space Society
4. Member of Phi Kappa Phi Society