Artificial Cognition about Unmanned Autonomous Vehicle

My research topic is on the driver behaviors prediction for Unmanned Autonomous Vehicle (UAV) in the complex driving environment. The driver behaviors include lane changing, car following, acceleration, deceleration, etc. The work in this project will focus on establishing two models about lane changing prediction in the high way and the driver behavior prediction in […]

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Evaluating the use of OrthoEvidence as a Decision-Making Tool at an Orthopaedic Surgical Hospital in India

OrthoEvidence gathers the most up-to-date, high-impact literature articles, summarizes them and sends out Advanced Clinical Evidence (ACE) reports to subscribers. A random group of residents in Pune, India at the Sancheti Institute of Orthopaedics and Rehabilitation will have access to the mobile app?s targeted OrthoEvidence ACE reports based on their specialty while the control group […]

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Fluorescence Correlation Spectroscopy as a tool to study the transcription rate of Bicoid targets during Drosophila embryonic development

In embryos, cell differentiation occurs via the formation of spatial gradients of molecules called morphogens, which control the expression of a number of target genes determining cell identity. A common model system to study morphogen is the Bicoid gradient, which determine anterio-posterior patterning in the Drosophila fly. Here we propose to apply novel methods in […]

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Organo-Tellurium Supramolecular Building Blocks

The student will travel to the Federal University of Santa Catarina (UFSC), Florianopolis, Brazil, for 12 weeks to develop the chemical synthesis of new organo-tellurium compounds whose molecules will be used as building blocks for large self-assembled structures with functional properties. This project will combine the expertise of I. Vargas-Baca (McMaster) and A L. Braga, […]

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Dimensionality, performance, and stress testing of multifactor equity models

A global multi-factor equity model had been previously developed. It employs a group of sector indices for different regions using Dow Jones, MSCI, and indices of local stock exchanges. PCA is used to produce independent factor variables, and then specific equities are regressed against the PCA factors. By transforming factors back into real world variables […]

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Estimating Loss Given Default by Mixture Beta Distribution Model

Although beta distribution models are a well-known tool for evaluating the recovery risk of credit instruments, concerns are raised regarding tractability its analysis and simulation. The project attempts to address such concerns by incorporating a mixture beta distribution model. The project will compare the efficiency of the proposed model with the commonly used beta distribution […]

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Congestion Prediction in Energy Networks Using Machine Learning

Energy networks are often very complex which results in highly unpredictable congestion patterns in the physical constraints of the network. Most efforts to model congestion in energy networks are made on toy problems. Here, the objective is to model and predict congestion in a real physical energy network using automated machine learning systems, in particular […]

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Environment and Health

Significant scientific knowledge gaps remain with respect to nuclear power production and impacts on the environment and the community. Four specific research areas for interns have been identified to help resolve some of the issues or gaps in knowledge. The specific areas of research include: (A) determining appropriate thresholds for animal population-level effects, (B) assessing […]

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Assessing comprehensive life history and phenotypic impacts of radiation on a short-lived model of aging and free radical biology: linear versus hormetic dose responses

The goal of our proposal is to clarify the impacts of low doses of radiation on key biological aspects in a short-lived animal model (the cricket). Current assessments of radiation exposure mainly emphasize cancer. Our model will allow us to more broadly assess important features like growth, maturation, survivorship, reproduction and life span as well […]

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A hybrid brain-computer interface (BCI) using tactile stimulus and motor imagery

Brain computer interfaces (BCI) allow for persons with severe motor impairment to communicate with the outside world. These systems work by either providing some stimulus (in the form of sound, touch or visual cues) or asking the user to imagine a certain motion. By analyzing the resulting brain activity using superficial electrodes on the scalp, […]

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Universal surface modification method to encourage cell patterning

Surface modification to promote the patterning of mammalian cells is an important tool in cellular biology. It aids in the development of different tissue engineering scaffolds, biosensors, and validation of high throughput screening assays. Surface modification protocols must be tailored to each individual material which limits the utility of a successful antifouling strategy to individual […]

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