Publications
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Structural and optical characterization of AlGaN multiple quantum wells grown on semipolar (20-21) bulk AlN substrate
Heterostructures of AlGaN with multiple quantum wells were grown by MOVPE on semipolar (20-21) bulk AlN substrates.
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Building Code for the Internet of Things
In this document, we focus on the challenges associated with composing systems, rather than building individual programs or devices.
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Principled Assessment of Student Learning in High School Computer Science
In the US, the new K12 CS Framework and aligned CSTA standards, and the Common Core State Standards and Next Generation Science Standards all include guidance related to computational thinking…
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RF Energy Harvesting Peel-and-Stick Sensors
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Peel-and-Stick Sensors Powered by Directed RF Energy
PARC is developing a low-cost system of peel-and-stick wireless sensors that will enable widespread building environmental sensor deployment with the potential to deliver up to 30% energy savings.
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Chat it up: Backchanneling to promote reflective practice among in-service teachers
This study examined the nature and quality of peer feedback exchanged in the digital medium and gauged graduate students’ impressions of the technology, with potential for carryover into their professional…
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Automated Image Analysis and Classification Tool Based on Computer Vision Deep Learning Technologies
We present a rapid underwater video and automated image analysis tool using computer vision deep learning technologies.
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Advances in Automated Stock Assessment Based on Computer Vision Deep Learning Technologies
We present a rapid fish assessment method leveraging computer vision deep learning technologies to provide both (1) rapid fish annotation and (2) fish classification with fish counting.
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BitNet: Bit-Regularized Deep Neural Networks
We present a novel optimization strategy for training neural networks which we call "BitNet". Our key idea is to limit the expressive power of the network by dynamically controlling the…
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Filament Extension Atomization of Polymer Melts: A Novel Approach for Generating Powders for Selective Laser Sintering
Leveraging on recent developments on PARCs Filament Extension Atomizer (FEA), we present a novel approach for generating micron-sized powders out of a wide range of thermoplastics, for use in selective…
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A Framework for Using Hypothesis-Driven Approaches to Support Data-Driven Learning Analytics in Measuring Computational Thinking in Block-Based Programming Environments
The goal of this research is to explore hypothesis-driven approaches that can be combined with data-driven ones to better interpret student actions and processes in log data captured from block-based…
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Leveraging Deep Neural Network Activation Entropy to Cope with Unseen Data in Speech Recognition
This work aims to estimate the propagation of such distortion in the form of network activation entropy, which is measured over a short-time running window on the activation from each…