Sotabase

Career

· Assistant Professor, Cornell University2015–
· Technical Consultant, Lyft2014–2014
· Postdoctoral Researcher, Dept of MS&E, Stanford University2013–2015
· Intern, Technicolor2011–2011
· Intern, Bell Laboratories2009–2009
· Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering, The University of Texas at Austin2007–2013
· Intern, Lehman Brothers2006–2006
· Bachelor of Technology (BTech), Electrical Engineering, Indian Institute of Technology, Madras2003–2007

Publications (209)

Greedy sensor selection: Leveraging submodularity
IEEE Conference on Decision and Control · 2010
308
cited
Pricing in Ride-Sharing Platforms: A Queueing-Theoretic Approach
ACM Conference on Economics and Computation · 2015
250
cited
Pricing in Ride-Share Platforms: A Queueing-Theoretic Approach
2015
197
cited
Pricing and Optimization in Shared Vehicle Systems: An Approximation Framework
ACM Conference on Economics and Computation · 2016
155
cited
Personalized PageRank Estimation and Search: A Bidirectional Approach
Web Search and Data Mining · 2015
154
cited
Multi-Document Abstractive Summarization Using ILP Based Multi-Sentence Compression
International Joint Conference on Artificial Intelligence · 2015
140
cited
Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault Recovery
IEEE/ACM International Conference on Human-Robot Interaction · 2021
132
cited
FAST-PPR: scaling personalized pagerank estimation for large graphs
Knowledge Discovery and Data Mining · 2014
125
cited
Hierarchical Transfer Learning for Multi-label Text Classification
Annual Meeting of the Association for Computational Linguistics · 2019
99
cited
Understanding topics and sentiment in an online cancer survivor community.
Journal of the National Cancer Institute. Monographs · 2013
99
cited
The Bayesian Prophet: A Low-Regret Framework for Online Decision Making
Measurement and Modeling of Computer Systems · 2018
95
cited
Nanoscale Dynamics of Amyloid β-42 Oligomers As Revealed by High-Speed Atomic Force Microscopy.
ACS Nano · 2017
94
cited
Summarizing Situational Tweets in Crisis Scenario
ACM Conference on Hypertext & Social Media · 2016
80
cited
Dynamic pricing in ridesharing platforms
SeCO Workshops · 2016
67
cited
Online Nash Social Welfare Maximization with Predictions
ACM-SIAM Symposium on Discrete Algorithms · 2020
67
cited
Unbounded Human Learning: Optimal Scheduling for Spaced Repetition
Knowledge Discovery and Data Mining · 2016
62
cited
GeoTxt: a web API to leverage place references in text
Workshop on Geographic Information Retrieval · 2013
60
cited
Greedy learning of Markov network structure
Allerton Conference on Communication, Control, and Computing · 2010
59
cited
From Monetary to Non-Monetary Mechanism Design via Artificial Currencies
ACM Conference on Economics and Computation · 2017
56
cited
Cholesterol in Membranes Facilitates Aggregation of Amyloid β Protein at Physiologically Relevant Concentrations.
ACS Chemical Neuroscience · 2021
53
cited
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Siddhartha Banerjee | Researcher Profile | Sotabase | Sotabase