Publications
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Hybrid Convolutional Neural Networks for Articulatory and Acoustic Information Based Speech Recognition
This work explores using deep neural networks (DNNs) and convolutional neural networks (CNNs) for mapping speech data into its corresponding articulatory space. Our speech-inversion results indicate that the CNN models…
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High-Resolution Health Monitoring of Track and Rail Systems with Fiber Optic Sensors and High-Frequency Multiplexed Readouts
In this study, we explore the use of Fiber Bragg Gratings (FBGs) and a high resolution, low-cost optical readout developed at PARC to interrogate the acoustic emissions generated by a…
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Developing protocols to support collaborative teacher reflection and professional learning for science argument writing
This white paper describes the development of a suite of teacher reflection protocols that structure generative conversations among teachers about instruction in support of students’ written scientific arguments.
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Examining Teacher Preparation Program Feedback from CSU Systemwide Survey Data: Using the CTQ Completer Survey to Support Data-Driven Continuous Improvement
This report provides background on the Center for Teaching Quality (CTQ) Completer Survey, describing how California State University (CSU) grantees of the New Generation of Educators (NGEI) initiative can use…
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Semantic Instrumentation of Virtual Environments for Training
We discuss an approach in which the virtual environment is semantically instrumented in order to allow for the tracking of and reasoning about open-ended learner activity therein.
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Review of Research on Clinical Practice in Teacher Preparation: What Do We Know and How Can We Advance Knowledge?
We share what research points to in terms of high-quality clinical preparation and recommend a more productive path for future teacher preparation research.
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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.