Projects per year
Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
Layered manufacturing
Engineering & Materials Science
Layered Manufacturing
Mathematics
Discriminant analysis
Engineering & Materials Science
Intersection
Mathematics
Efficient Algorithms
Mathematics
Query
Mathematics
Computational geometry
Engineering & Materials Science
Range Searching
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2004 2019
II-New: Research Infrastructure for Big Spatial and Temp
Mokbel, M. F., Hecht, B. J., Janardan, R. & Shekhar, S.
7/1/15 → 6/30/19
Project: Research project
infrastructure
Layered manufacturing
India
Retrieval
Query
Research Output 1983 2019
Scalable computational geometry in MapReduce
Li, Y., Eldawy, A., Xue, J., Knorozova, N., Mokbel, M. F. & Janardan, R., Jan 1 2019, (Accepted/In press) In : VLDB Journal.Research output: Contribution to journal › Article
Computational geometry
Processing
New bounds for range closest-pair problems
Xue, J., Li, Y., Rahul, S. & Janardan, R., Jun 1 2018, 34th International Symposium on Computational Geometry, SoCG 2018. Toth, C. D. & Speckmann, B. (eds.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, Vol. 99. p. 731-7314 6584 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Data structures
On the separability of stochastic geometric objects, with applications
Xue, J., Li, Y. & Janardan, R., Oct 1 2018, In : Computational Geometry: Theory and Applications. 74, p. 1-20 20 p.Research output: Contribution to journal › Article
Geometric object
Separability
Margin
Computing
Model Uncertainty
1
Citation
(Scopus)
On the arrangement of stochastic lines in R2
Li, Y., Xue, J., Agrawal, A. & Janardan, R., May 1 2017, In : Journal of Discrete Algorithms. 44, p. 1-20 20 p.Research output: Contribution to journal › Article
Arrangement
Line
Probability distributions
Likely
Subsequence
1
Citation
(Scopus)
On the expected diameter, width, and complexity of a stochastic convex-hull
Xue, J., Li, Y. & Janardan, R., Jan 1 2017, Algorithms and Data Structures - 15th International Symposium, WADS 2017, Proceedings. Ellen, F., Kolokolova, A. & Sack, J-R. (eds.). Springer- Verlag, p. 581-592 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10389 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Approximation algorithms
Convex Hull
Polynomials
Combinatorial Complexity
Approximation Algorithms