Robert Ikeda
I am working on
MathPapa, an automated math tutoring system.
I am also interested in applying deep learning to NLP.
MathPapa iOS Mobile App - Algebra Calculator & Equation Solver
Bio
I was a computer science PhD student at Stanford, graduating Autumn 2012. My
advisor was Jennifer
Widom. My main research project was Panda, a system that uses data provenance to help data analysts debug their workflows.
MathPapa Press Mentions
Here are some articles about my algebra website.
Publications
- Logical Provenance in
Data-Oriented Workflows.
R. Ikeda, A. Das Sarma, and J. Widom.
Proceedings of the 29th
International Conference on Data Engineering, Brisbane, Australia,
April 2013. Long
version of the same paper.
-
Provenance-Based
Debugging and Drill-Down in Data-Oriented Workflows.
R. Ikeda, J. Cho, C. Fang, S. Salihoglu, S. Torikai, and J. Widom.
Proceedings of the 28th International Conference on Data
Engineering, Washington, DC, April 2012. Demonstration description.
-
Provenance-Based Refresh
in Data-Oriented Workflows.
R. Ikeda, S. Salihoglu, J. Widom.
Proceedings of the 20th
ACM Conference on Information and Knowledge Management (CIKM
'11), Glasgow, Scotland, October 2011.
-
Provenance for Generalized
Map and Reduce Workflows.
R. Ikeda, H. Park, J. Widom.
CIDR 2011.
-
RAMP: A System for
Capturing and Tracing Provenance in MapReduce Workflows.
H. Park, R. Ikeda, and J. Widom.
VLDB 2011. Demonstration
description. (Also presented in Hadoop Summit 2011, Santa Clara,
California, June 2011.)
-
Panda: A System for
Provenance and Data.
R. Ikeda and J. Widom.
IEEE Data Engineering Bulletin,
Special Issue on Data Provenance, 33(3), September 2010. (Note: A
shorter version of this paper appeared in TaPP '10.)
Past Projects
-
DB-Class Exercises: I developed the checking software and interactive workbenches for all of the automatically checked exercises
in Prof. Widom's Fall 2011 public class on databases, now hosted by Coursera.
-
PyClaycloud
was a side project
for sharing and rapidly prototyping Python scripts.
It runs on Google App Engine.
CV (pdf)
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