Resolving membrane protein dynamics and self-association characteristics by fluorescence fluctuation analysis

This project aims to exploit an analysis of cellular and molecular dynamics which focuses on understanding protein-protein interactions in living cells. It will focus on the development and application of a suite of novel single molecule super-resolution imaging strategies that will address fundamental questions surrounding how the association of specific membrane proteins drives localization and […]

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Using Machine Learning to Decipher Controls Water Quality

Water in the United States is a valuable resource. It is used from everything from drinking water to tourism. However, by the 1970s, many rivers and coastal areas were severely degraded from decades of using water to assimilate pollution. After billions of dollars spent and decades of effort on all levels of government, the increasing […]

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Quantum Optical Experiment to Understand Black Holes

Black holes are very intriguing astronomical objects. They do not emit light, so we can only get indirect evidence about their existence. When it comes down to understanding how they change in time, things get more complicated. Stephen Hawking argued that black holes have a finite lifetime. The question that arises then is, what happens […]

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Antibacterial activity of silicone porphyrins

Porphyrins and phthalocyanines are important biological molecules that, for example, control respiration of plants (chlorophyll helps convert C02 to oxygen) and heme controls the 02/C02 balance in human blood. Such compounds possess many other regulatory roles. In the presence of light some of these compounds convert oxygen into ‘reactive oxygen species’ (ROS). ROS aggressively attack […]

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Forecasting Profitability of Real Estate Assets using Machine Learning

This research project aims at applying machine learning over the existing financial forecasting methods currently employed in the commercial real estate industry. Businesses are actively collecting more data than what can be analyzed effectively using the standard spreadsheet models which have become industry standard over the past few decades. Machine learning algorithms are known to […]

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Development of spinal associative stimulation using motor point stimulation

Studies have shown that delivering combination of two stimulation can improve muscle responses and related nerve function in spinal cord injury patients and able-bodied people. Typically, a painless magnetic stimulation through the scalp over the brain, and electrical stimulation to the knee over a peripheral nerve (a nerve that sends signals to muscles and receives […]

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Development of Carbon Nanotube based Impdance Sensor

The goal of this project is to design a Carbon Nanotube thin film-based sensor for the detection of heart failure biomarkers. The student will participate in the sensor fabrication group. He will learn Micro-fabrication related techniques and knowledge; such as Carbon Nanotube thin film synthesis using Chemical Vapor Deposition, Microfluidic channel fabrication and gold film […]

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BIM-Driven Spatial Planning and Permitting Efficiencies for Municipalities

Recent technological advances in the architecture, engineering, and construction (AEC) industry, including the implementation of Building Information Modelling (BIM) and automated data capturing tools, have enabled the AEC industry to commence its digital journey in the era of big data. Over the last decade, electronic permitting (e-permitting) practices have been introduced in many municipal jurisdictions […]

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