July 18, 2016
On Board Chute Based Image Analyses for Electronic Fishery Monitoring
As fisheries worldwide strive to produce a sustainable seafood supply, systematic monitoring of fish stocks is increasingly important. To obtain accurate fish counts, federal fisheries are increasingly incorporating electronic monitoring into fishery data collection. The goal is to develop a live fish counting, length measurement and species-recognition system, based on the data collected using a…
QoS Enhancement of Wireless Video Networking
This project aims to further improve the quality of service (QoS) techniques for WiMAX/LTE 4G protocol stacks. We are working on a scheduling algorithm based on multiple-input multiple-output (MIMO) for not only transmitting traditional videos, but also transmitting videos with scalable coding. Moreover, the feedback resource allocation algorithm can be extended to a MIMO system…
3D Human Pose Estimation Based on Structure from Motion
This research aims to estimate 3D human pose by utilizing Structure from Motion (SfM), 3D modeling and pose estimation techniques. Structure from Motion is the process of estimating 3D structures from 2D image sequences or videos. In our approach, the camera produces multiple images by shooting video of the target while simultaneously reconstructing both the…
Submodularity for Speech and Language Applications
This project explores the use of submodularity for optimizing applications in speech and language processing, in particular machine translation. Submodular function optimization is used to select the best possible training sets for different types of translation models, tuning sets, language model data and sparse feature sets.
TransPhorm: Improving Access to Multi-Lingual Health Information through Machine Translation
The TransPhorm project is aimed at facilitating the production of multilingual health and safety information materials for individuals with limited English proficiency. We have developed human-computer collaborative translation management systems for public health workflow, domain adaptation methods for machine translation (MT) models and new quantitative frameworks for studying user preferences in MT.
Nanostructure-Enhanced Laser Tweezers
Optical manipulation of particles has broad applications in nanoscience, biological study and biomedicine. Conventional optical tweezers require high optical intensity due to low efficiency in direct conversion from optical energy to mechanical energy. We explore the enhanced field from plasmonic or photonic crystal nanostructures to increase the trapping efficiency and functionality of optical tweezers. Using…
NELT-integrated MEMS for High-accuracy Mass Sensing
In this project, photonic crystal optical tweezers and microfluidic structures are integrated with MEMS resonators. By precisely trapping and positioning the particles on the surface of the MEMS resonators, the mass of the particles can be measured and monitored with high accuracy and repeatability. The technology can be used for living cells and nanoparticles, for…
Quantum Dot Nanophotonics
Thanks to their 3D-confined nanostructures, quantum dots (QDs) have properties that are far superior to the corresponding materials in bulk form, such as high quantum efficiency, size-dependent tunable emission and high sensitivity. We have demonstrated sub-diffraction limit QD waveguides, nanogap QD photodetectors with high sensitivity and spatial resolution, plasmonic-enhanced QD photodetectors with color selectivity and…
Micro-instrumentation by Optical MEMS
We have developed a scanning micro-mirror with an adjustable focal length for endoscope applications. With active focus tracking capability, it allows high-resolution 3D imaging to be achieved with the endoscope system, which can significantly improve the currently limited ability for detecting early and pre-cancers.
Intelligent Compact Optical Sensors (iCOS)
The Internet of Things requires a large number of sensors, which need to be compact and low power while remaining intelligent enough for data processing. Our research is addressing this problem by using nanophotonics, specifically integrated photonics, to achieve an incredibly compact sensor. The challenge with extremely small sensors is achieving high performance. Our research…
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