Publications
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GPU Performance Prediction using Representation Learning
We propose a representation learning approach to address the high level of contention among thousands of parallel threads in GPU activity prediction models.
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Connected Freight Rail Stock: A Modular Approach Integrating Sensors, Actors and Cyber Physical Systems for Operational Advantages and Condition Based Maintenance
This paper describes the basis of such a system including the power supply, intra-train communications, sensing and cloud-based analytics.
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Low Precision Neural Networks using Subband Decomposition
In this paper, we present a unique approach using lower precision weights for more efficient and faster training phase.
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Achieving Differential Privacy in Secure Multiparty Data Aggregation Protocols on Star Networks
We consider the problem of privacy-preserving data aggregation in a star network topology, i.e., several untrusting participants connected to a single aggregator.
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Transient electronics based on frangible stress-engineered glass substrates
We present an approach to transience electronics where transience is achieved by fracturing electronic components into small pieces and widely dispersing the fragments over a large area.
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Mapping the Hypocretin/Orexin Neuronal System: An Unexpectedly Productive Journey
Early in 1998, we (and others) described the same hypothalamic neuropeptides, respectively called the hypocretins or orexins, which were discovered using two different approaches.
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Measuring Student Learning in Introductory Block-Based Programming: Examining Misconceptions of Loops, Variables, and Boolean Logic
This research aims to develop assessment items for measuring student understanding in introductory CS classrooms in middle school using a principled approach for assessment design.
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Learner Modeling for Adaptive Scaffolding in a Computational Thinking-Based Science Learning Environment
We develop a learner modeling and adaptive scaffolding framework for CTSiM –an open ended learning environment that supports synergistic learning of science and Computational Thinking for middle school students.
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Impact of the National Writing Project’s College-Ready Writers Program in High-Need Rural Districts
This paper reports on a district-randomized controlled trial of the National Writing Project’s College-Ready Writers Program (CRWP), implemented in high-need rural districts in 10 states.
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Speech recognition in unseen and noisy channel conditions
This work investigates robust features, feature-space maximum likelihood linear regression (fMLLR) transform, and deep convolutional nets to address the problem of unseen channel and noise conditions in speech recognition.
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Toward human-assisted lexical unit discovery without text resources
This work addresses lexical unit discovery for languages without (usable) written resources.
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Zeroizing Attacks on Indistinguishability Obfuscation over CLT13
In this work, we describe a new polynomial-time attack on the multilinear maps of Coron, Lepoint, and Tibouchi, when used in candidate indistinguishability obfuscation schemes.