Geetika Tewari Lakshmanan
Geetika Tewari Lakshmanan
Senior Software Engineer, Amazon
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
Firefly-inspired sensor network synchronicity with realistic radio effects
G Werner-Allen, G Tewari, A Patel, M Welsh, R Nagpal
Proceedings of the 3rd international conference on Embedded networked sensor …, 2005
Predictive Analytics for Semi-Structured Case Oriented Processes
FP Curbera, S Duan, P Keyser, R Khalaf, GT Lakshmanan
US Patent App. 12/879,747, 2012
Placement strategies for internet-scale data stream systems
GT Lakshmanan, Y Li, R Strom
IEEE Internet Computing 12 (6), 50-60, 2008
A markov prediction model for data-driven semi-structured business processes
GT Lakshmanan, D Shamsi, YN Doganata, M Unuvar, R Khalaf
Knowledge and Information Systems 42 (1), 97-126, 2015
Investigating clinical care pathways correlated with outcomes
GT Lakshmanan, S Rozsnyai, F Wang
Business process management, 323-338, 2013
Meshing genus-1 point clouds using discrete one-forms
G Tewari, C Gotsman, SJ Gortler
Computers & Graphics 30 (6), 917-926, 2006
A stratified approach for supporting high throughput event processing applications
GT Lakshmanan, YG Rabinovich, O Etzion
Proceedings of the Third ACM International Conference on Distributed Event …, 2009
Leveraging path information to generate predictions for parallel business processes
M Unuvar, GT Lakshmanan, YN Doganata
Knowledge and Information Systems 47 (2), 433-461, 2016
Signal-specialized parameterization for piecewise linear reconstruction
G Tewari, J Snyder, PV Sander, SJ Gortler, H Hoppe
Proceedings of the 2004 Eurographics/ACM SIGGRAPH symposium on Geometry …, 2004
Discovering event correlation rules for semi-structured business processes
S Rozsnyai, A Slominski, GT Lakshmanan
Proceedings of the 5th ACM international conference on Distributed event …, 2011
Managing connections between real world and virtual world communities
GT Lakshmanan, MA Oberhofer
US Patent 8,862,482, 2014
Knowledge discovery in the blogosphere: Approaches and challenges
G Lakshmanan, M Oberhofer
IEEE internet computing 14 (2), 24-32, 2010
Generating predictions from a probabilistic process model
GT Lakshmanan, YN Doganata, D Shamsi
US Patent 8,756,171, 2014
Method for decentralized load distribution in an event-driven system using localized migration between physically connected nodes and load exchange protocol preventing …
GT Lakshmanan, YG Rabinovich, RJ Schloss
US Patent 8,479,216, 2013
Leveraging process-mining techniques
GT Lakshmanan, R Khalaf
IT Professional 15 (5), 22-30, 2012
Decentralized load distribution to reduce power and/or cooling costs in an event-driven system
GT Lakshmanan, YG Rabinovich, RJ Schloss
US Patent 8,479,215, 2013
Predictive analytics for semi-structured case oriented business processes
GT Lakshmanan, S Duan, PT Keyser, F Curbera, R Khalaf
International conference on business process management, 640-651, 2010
Biologically-inspired distributed middleware management for stream processing systems
GT Lakshmanan, RE Strom
ACM/IFIP/USENIX International Conference on Distributed Systems Platforms …, 2008
Dynamic storage and retrieval of process graphs representative of business processes and extraction of formal process models therefrom
FP Curbera, PT Keyser, R Khalaf, GT Lakshmanan
US Patent 8,676,818, 2014
Linking virtual worlds and collaboration platforms bi-directionally using a central identity management system
GT Lakshmanan, MA Oberhofer
US Patent 8,484,288, 2013
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