Brain to Machine Interface Based on EEG Signals

Brain to machine interface (BMI) is a research topic aiming to develop more direct interface between a human brain and a machine. The research is primarily motivated by desire to help humans who are in need of assistance or repair of theircognitive, sensory, or motor functions. In general, BMI is designed to be either invasive […]

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Risk Sharing Contracts Between Healthcare Payer and Pharmaceutical Drug Manufacturers

In this project we analyze how a government healthcare provider should negotiate a risk-sharing contract with pharmaceutical drug manufacturers. The objective of the study is to examine how a government healthcare payer should set the terms of pay-for-performance contracts with multiple drug or pharmaceutical manufacturers. The study builds on existing work by Mahjoub, Odegaard, and […]

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Instrumentation and Debugging of Real-time Systems

Software testing and debugging take up between 30 and 50% of the development cost in embedded systems. Despite this large percentage and the associated enormous costs, only little attention has been devoted to debugging of embedded real-time systems. Apart from in-circuit emulators for standalone systems, ad-hoc methods such as blinking lights to indicate errors and […]

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Analysis of cost of international public health interventions

There are two sets of literature estimating the cost of health interventions in different countries.However, actual program cost data are not available for all programs (whereas it is easier to generate estimates using the “ingredients approach”).  In this project, we will undertake a literature review to match actual program costs to those predicted by the […]

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Electric Vehicle Components Modeling

Vehicle electrification poses considerable challenges on chassis architecture, design of vehicle control and power management systems. Moreover, it tends to induce variations in the sprung and unsprung masses and load distributions. A combination of these has a significant impact on vehicle system dynamics and stability. Thus, development of next-generation electric vehicles(EV) necessitates a systematic exploration […]

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Identification of parameters in delay differential equations

Mathematical modelling is the process of creating mathematical models describing the behavior of physical systems. Mathematical models of many physical systems (e.g., engineering, biological, economical, and environmental) are governed by ordinary differential equations [1].  These differential equations are usually nonlinear, and parameters might appear both linearly and nonlinearly in these equations.  Delay differential equations are […]

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FPGA-based Design, Evaluation and Prototyping of Power Management Strategies for Multi-core Processors

Single chip multi-core processors have become the de-facto computational platform for application domains ranging from low-power mobile and embedded devices to high-end server products that form the backbone of the worldwide information technology (IT) infrastructure. Power management has always been an issue in the mobile computing space, and with the alarmingly increasing rates of energy […]

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High Performance GPU Cluster Computing: Astronomical DSP

Graphical Processing Units (GPU)’s have matured, and now provide the highest computational performance per dollar.  To be scalable, a tighly coupled cluster of GPU’s must support efficient implementations of real world algorithms. This project will implement a software signal processing pipeline using GPU architectures.  CITA is currently acquiring a major GPU cluster, which will be […]

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Determination of vessel wall shear stress in the cerebral vasculature using magnetic resonance imaging and computational fluid dynamics

Our project consists of a combination of magnetic resonance imaging (MRI) and numerical simulations to model the blood flow dynamics in major cerebral arteries. In doing so, we hope to determine the shear stresses that are inflicted on the vessel walls of the brain, which should correlate with the vessel’s ability to dilate in response […]

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Biological Physics: Neuronal structural dynamics

Our laboratory is interested in developing imaging software and instrumentation that will allow us to measure the spatial dynamics of growing neuronal structures in a small, transparent, model organism called C. elegans. C. elegans is a small nematode (round worm) with a uniquely simple nervous system—it contains only 302 neurons and the connectivity between these […]

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