Pankaj K. Agarwal, RJR Nabisco Professor of Computer Science and Professor of Mathematics and Chair of Computer Science and Faculty Network Member of The Energy Initiative and Bass Fellow of Computer Science

Computational and combinatorial geometry, computational biology, robotics, spatial databases, geographic molecular information systems, and data structures.

Contact Info:

Education:

Ph.D.	New York University	1989
MS in Computer Science	University of California, Santa Barbara	1986
M.S.	University of California at Santa Cruz	1986
Bachelor of Engineering in Electronics and Communication	University of Roorkee	1982
B.S.E.E.	Indian Institute of Technology (India)	1982

Specialties:

Algorithms

Research Interests:

Computational and combinatorial geometry, computational biology, robotics, spatial databases, geographic molecular information systems, and data structures.

Keywords:

Adaptation, Biological • Algorithms • Amino Acid Sequence • Approximation algorithms • Base Pair Mismatch • Bayes Theorem • Biodiversity • Chromosome Mapping • Computational Biology • Data Interpretation, Statistical • DNA Transposable Elements • Ecology • Ecosystem • Forecasting • Models, Biological • Models, Chemical • Models, Molecular • Models, Statistical • Models, Theoretical • Navigation • Plant Transpiration • Plants • Protein Conformation • Proteins • Sensitivity and Specificity • Sequence Alignment • Sequence Analysis, DNA • Sequence Analysis, Protein • Software • Species Specificity • Stochastic Processes • Time Factors • Visibility

Postdocs Mentored

• Lars Arge (2002)  
• Julien Basch (2002)  
• Jeff Erickson (2002)  
• Sariel Har-Peled (2002)  

Recent Publications   (More Publications)

1. Lowe, A; Agarwal, PK, Flood-risk analysis on terrains under the multiflow-direction model, Gis: Proceedings of the Acm International Symposium on Advances in Geographic Information Systems (November, 2018), pp. 53-62, ACM Press, ISBN 9781450358897 [doi]  [abs]
2. Agarwal, PK; Kyle, FOX; Salzman, O, An efficient algorithm for computing high-quality paths amid polygonal obstacles, Acm Transactions on Algorithms, vol. 14 no. 4 (August, 2018), pp. 1-21, Association for Computing Machinery (ACM) [doi]  [abs]
3. Agarwal, PK; Kaplan, H; Sharir, M, Union of hypercubes and 3D minkowski sums with random sizes, Leibniz International Proceedings in Informatics, Lipics, vol. 107 (July, 2018), ISBN 9783959770767 [doi]  [abs]
4. Agarwal, PK; Kumar, N; Sintos, S; Suri, S, Range-max queries on uncertain data, Journal of Computer and System Sciences, vol. 94 (June, 2018), pp. 118-134, Elsevier BV [doi]  [abs]
5. Agarwal, PK; Arge, L; Staals, F, Improved dynamic geodesic nearest neighbor searching in a simple polygon, Leibniz International Proceedings in Informatics, Lipics, vol. 99 (June, 2018), pp. 41-414 [doi]  [abs]

Recent Grant Support

• Training Program in Wireless Intelligent Sensor Networks (WISeNet), National Science Foundation, DGE-1068871, 2011/09-2018/08.      
• III: Medium: Collaborative Research: Database Research for Computational Journalism, National Science Foundation, IIS-1408846, 2014/09-2017/08.