human-computer interaction

Position type: LURA, USRA

Position title:  Research Assistant/summer researcher

Professor: Dr. Robert Allison

Number of positions available: 2

Contact: allison@cse.yorku.ca

Summary of project:  Students will help design, develop and conduct experiments related to human-computer interaction in virtual environments and digital media. In our lab we have a wide range of apparatus to study human perception in computer-mediated worlds including a new and unique fully immersive virtual environment display. The student would develop interactive 3D virtual worlds and conduct experiments to study self-motion perception, visual perception and human computer interaction in these virtual worlds. In particular, working with a senior graduate student or postdoctoral fellow, the successful applicant would model 3D environments, render them in a virtual reality or other digital media display, develop/implement interaction methods to control and interact with the simulation, and/or develop and run experimental scenarios to investigate these issues with human participants.

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Robot building

Position type: LURA, USRA

Position title:  Research Assistant/summer researcher

Professor: Dr. Michael Jenkin

Number of positions available: 2

Contact: jenkin@eecs.yorku.ca

Summary of project: 

This project is a ‘robot building’ project in which the successful applicant will design and build an unmanned surface robot. Based on a design similar to the Clearpath Kingfisher Mark 1 robot, this robot will use two pontoons and underwater thrusters to perform point to point operations in small bodies of water (e.g., Stong Pond). The interested student will be self motivated, have a background in computer science/engineering and have an interest in the development of unmanned vehicles.

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Detection of ice or droplet on a surface

Position type: LURA

Position title:  Research Assistant/summer researcher

Professor: Dr. Alidad Amirfazli

Number of positions available: 1

Contact: Alidad2@yorku.ca

Summary of project: 

Title: Detection of ice or droplet on a surface

The idea of this project is to detect the formation of ice of a surface, or presence of a drop on a surface from its thermal signature. The application of such study is plenty from anti-ice detection systems for wind turbines or aircrafts to development of compact condensers. The student will be engaged in analyzing the temperature changes detected from embedded sensor due to presence of a droplet or ice on the surface compared to a bare surface. The project involves building a suitable test apparatus to allow conducting experiments. Programing for signal analysis through Matlab or similar platform. Conducting tests. Data analysis and reporting/presentation. This project will take place at Surface Engineering Lab under supervision of Prof. Amirfazli.

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Application of Attentive Sensing to Distance Learning.

Position title: Research Assistant/summer researcher

Professor: James Elder

Number of positions available: 2

Contact: jelder@yorku.ca

Summary of project:  Video cameras generate massive quantities of data, but using these data effectively requires intelligent software and hardware.  Inspired by the human visual attention and oculomotor systems, our laboratory has invented and patented a series of attentive sensor devices that automatically orients an attentive camera to capture the most important details in a scene.

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Embedded Attentive Sensing

Position title: Research Assistant/summer researcher

Professor: James Elder

Number of positions available: 2

Contact: jelder@yorku.ca

Summary of project: Video cameras generate massive quantities of data, but using these data effectively requires intelligent software and hardware. Inspired by the human visual attention and oculomotor systems, our laboratory has invented and patented a series of attentive sensor devices that automatically orient an attentive camera to capture the most important details in a scene. Last summer, the applicant, Ryan Dowling, co-invented a new form of this sensor that is even faster and more accurate than our previous prototypes.

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Application of Attentive Sensing to Sports Videography

Position title: Research Assistant/summer researcher

Professor: James Elder

Number of positions available: 2

Contact: jelder@yorku.ca

Summary of project: Video cameras generate massive quantities of data, but using these data effectively requires intelligent software and hardware. Inspired by the human visual attention and oculomotor systems, our laboratory has invented and patented a series of attentive sensor devices that automatically orient an attentive camera to capture the most important details in a scene. Last summer, we invented a new form of this sensor that is even faster and more accurate than our previous prototypes.

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Application of Attentive Sensing to Sports Videography

Position title: Research Assistant/summer researcher

Professor: James Elder

Number of positions available: 2

Contact: jelder@yorku.ca

Summary of project: Video cameras generate massive quantities of data, but using these data effectively requires intelligent software and hardware. Inspired by the human visual attention and oculomotor systems, our laboratory has invented and patented a series of attentive sensor devices that automatically orient an attentive camera to capture the most important details in a scene. Last summer, we invented a new form of this sensor that is even faster and more accurate than our previous prototypes.

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deep geological repositories

Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Dr. Magdalena Krol

Number of positions available: 2

Contact: magdalena.krol@lassonde.yorku.ca

Summary of project: Several countries, including Canada, Finland, Switzerland, and the United Sates are studying long- term solutions for the storage of used nuclear fuel. Current designs include the use of deep geological repositories (DGRs) that would be located several hundred meters below ground level. In general, DGR locations are chosen for their geologically stable conditions, as well as, their ability to minimize the transport of compounds in and out of the repository.

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Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Gerd Grau

Number of positions available: 1

Contact: grau@eecs.yorku.ca, 416-736-2100 x70127

Summary of project: Printed electronics is an emerging technology to fabricate microelectronic devices. The use of printing techniques offers several advantages over traditional microfabrication technology, which is used to fabricate systems such as silicon chips and displays today. These traditional methods achieve very high performance, however, at a high cost. Printing allows microelectronics to be fabricated at significantly lower cost especially for large-area systems due to high fabrication speeds and because printing is a type of additive manufacturing. In addition, printed electronics can be fabricated on novel substrates such as plastic or paper.

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Machine learning for printed electronics


effect of similitude laws on pertinent material composition

Position type: NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Dr. S. J. Pantazopoulou

Number of positions available: 2

Contact: pantazo@yorku.ca

Summary of project: The teaching shake table of the department of Civil Engineering is to be used for demonstration of principles of Structural Dynamics in Undergraduate and Graduate Teaching. To this end, scalled specimens that obey the laws of similitude will be built and tested on the shake table, each designed to strategically illustrate important structural engineering behavior patterns and concepts. These will involve models of structure-foundation-soil assemblies of bridges, nuclear power plants and tall structures intended to study the interaction of the structure with its foundation during earthquake response. 

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Ultra High Performance Concrete

Position type: NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Dr. S. J. Pantazopoulou

Number of positions available: 2

Contact: pantazo@yorku.ca

Summary of project: Ultra High Performance Concrete contains as an essential component mass reinforcement in the form of fine short fibers, either made of steel or other synthetic materials. The strength of the final product depends to a great extent on the tensile strength of the fiber – however fiber manufacturers provide the nominal technical data of the fibers (strength in tension and elongation capacity) whereas UHPC manufacturers have no means of assessing the actual strength.

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sustainable development

Position type: NSERC USRA, LURA

Position title:  Research Assistant/summer researcher

Professor: Usman T Khan

Number of positions available: 2

Contact: Usman.Khan@Lassonde.yorku.ca

Summary of project: Globally, the number of people living in urban areas is increasing, and this trend is projected to continue in the future creating numerous sustainable development challenges. Future cities will have a higher risk of floods due a combination of: climate change - which will increase the frequency of extreme precipitation; and urbanisation - which will increase impermeable surfaces (such as roofs, roads, parking lots). Both factors contribute to more flooding.

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Micro-Braiding Machine 

Position type: NSERC USRA, LURA

Position title:  Research Assistant/summer researcher

Professor: Dr. Garrett Melenka

Number of positions available: 1

Contact: gmelenka@yorku.ca

Summary of project: Natural fiber (NF) and bioplastics/bio-resins can be adapted to braided composite (BC) manufacturing. Combining NF and bioplastics/bio-resins with braiding will lead to a sustainable, automated, near-net-shape fabrication method with configurable material properties. Bio-based composites are an emerging alternative to conventional composites that can be produced sustainably while yielding comparable mechanical
properties.

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braided composites

Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor:  Dr. Garrett Melenka and Dr. Gerd Grau

Number of positions available: 1

Contact: gmelenka@yorku.ca, grau@eecs.yorku.ca

Summary of project: Braiding is a high rate fabrication method of structural composites for applications ranging from bridges to high-performance bike frames. It produces near-net-shape structures by interlacing continuous fibers into a pre-form architecture. Braided composites are created by impregnating the braid pre-form in a matrix material. Braiding is an attractive manufacturing method since a variety of matrix, fiber and braid geometries can be used to tailor mechanical properties. BC offer improved impact resistance and energy absorption characteristics over conventional laminated composite structures.

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Digital Image Correlation and Particle Image Velocimetry

Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor:  Dr. Garrett Melenka  

Number of positions available: 1

Contact: gmelenka@yorku.ca 

Summary of project: Cameras can be used to perform highly accurate engineering measurements. Two measurement methods that use cameras include Digital Image Correlation (DIC) and Particle Image Velocimetry (PIV).DIC is used for strain measurement while PIV is used for fluid flow measurements. A small table top demonstration unit is required for instructing best practices to perform DIC and PIV measurements.

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development of a new fabrication strategy

Position type:  NSERC USRA

Position title:  Research Assistant/summer researcher

Professor:  Dr. Siu Ning (Sunny) Leung

Number of positions available: 1

Contact: leungsun@yorku.ca

Summary of project: This research project will focus on the development of a new fabrication strategy to manufacture a new family of multifunctional materials that can be used in flexible and wearable electronics. Wearable electronics are electronic devices that can be worn by a person either internally (e.g., implants) or externally (e.g., sensory accessories).

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photovoltaic (PV) cells

Position type:  NSERC USRA, LURA

Position title: Research Assistant/summer researcher

Professor:  Paul O’Brien

Number of positions available: 1

Contact: paul.obrien@lassonde.yorku.ca

Summary of project: Electric power generated from photovoltaic (PV) cells will play a key role in meeting future renewable energy demands as its installed-cost has already been reduced to ~$1/W. However, photovoltaic farms increase competition for land space that is required for agricultural production. Competition for land can be reduced through agrivoltaics, whereby land is co-developed for both PV energy production and agriculture.

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triboelectric nanogenerator to harvest mechanical energy

Position type:  NSERC USRA

Position title:  Research Assistant/summer researcher

Professor:  Dr. Siu Ning (Sunny) Leung

Number of positions available: 1

Contact: leungsun@yorku.ca

Summary of project: This research project will focus on the design and fabrication of a new family of triboelectric nanogenerator to harvest mechanical energy and convert it into electricity. Triboelectrification is a commonly observed effect in our daily life and is usually viewed as a negative effect (e.g., electrostatic shock). Recently, great attention has been devoted to taking advantage of the charge transfer during periodic contact and separation as well as rubbing of a pair of triboelectric friction materials.

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Wind tunnels

Position type: LURA, NSERC USRA

Position title: Research Assistant/summer researcher

Professor: Ronald Hanson

Number of positions available: 1

Contact: hansonre@yorku.ca

Summary of project: Wind tunnels can be found in many different shapes and sizes.  However, the purpose is generally the same, to generate a controlled flow of air. The main components include  (a) Test section, (b) Settling chamber, (c) Contraction area, (d) Diffuser(s), (e) Blower/Fan, (f) Turning vanes, (g) flow conditioning, and (h) heat exchanger.  A major advantage of a closed-loop system is internal flow seeding for optical-based measurements.

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Safety performance of traffic

Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Dr. Peter Park

Number of positions available: 1

Contact: Peter.park@lassonde.yorku.ca; x44080

Summary of project: The summer research project includes the following three specific objectives to search for an advanced utilization of existing surface infrastructure and to enhance the overall operational and safety performance of traffic along selected arterials and freeways in GTHA.

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sustainable integrated system

Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Ahmed Eldyasti

Number of positions available: 2

Contact: Ahmed.Eldyasti@Lassonde.yorku.ca, Ext. 31329

Summary of project: Depleted energy resources, increasing worldwide energy demand, and global climate change, mainly caused by anthropogenic activities of fossil fuels, can be detrimental to economic development, particularly in areas of high-energy consumption such as North America. Notwithstanding the fact that numerous efforts have been devoted to develop bio-based fuels, chemicals, and energy, it remains a major challenge to develop and optimize a sustainable integrated system that is capable of offering effective and integrated functions, (i.e. biodegradation, biomass-liquid separation, and biomass retention) along with a substantial production of different biochemicals at low-energy consumptions.

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Development of a Brain Neural Interface

Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Hossein Kassiri

Number of positions available: 2

Contact: Hossein@eecs.yorku.ca

Summary of project:  Brian injury is the leading cause of death and disability in North America. The annual cost of hospitalization alone is 31 billion dollars. This is partly due to the fact that there is currently no validated method for monitoring of the brain activity in the ER (emergency room). As such, the “wait and see” approach results in lost opportunities to treat brain injury complications, thus contributing to poor outcome and increasing the
length of hospital stay.

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Implantable Optogenetic Neurostimulator

Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Hossein Kassiri

Number of positions available: 2

Contact: Hossein@eecs.yorku.ca

Summary of project:   Over the past decade, brain electrical stimulation has been shown as an alternative solution for patients with neurological disorders who are refractory to drugs or brain surgery. However, electrical stimulation methods strongly suffers from lack of
spatial resolution and specificity. Moreover, electrical stimulation is often five-to-six orders of magnitude larger than the field potential signals that could be used for detecting brain activity. This feed-forward cross-contamination pathway makes closing the electrical feedback loop challenging for both research and therapy systems.

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multi-modal monitoring of brain activity

Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Hossein Kassiri

Number of positions available: 2

Contact: Hossein@eecs.yorku.ca

Summary of project: Monitoring and treatment of neurological disorders using a microelectronic brain implant has been investigated as a promising alternative for patients who are refractory to existing pharmacological solutions. The implanted system is required to record neural activity at high spatial resolution, process recorded signals, and trigger responsive action to control an undesired neurological event such as seizure.

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Wireless Powering of Implantable Medical Devices

Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Hossein Kassiri

Number of positions available: 2

Contact: Hossein@eecs.yorku.ca

Summary of project: 

Development of wireless data and power telemetry links for implantable brain machine interfaces: Epilepsy, Parkinson and Alzheimer’s disease are a few examples of neurological disorders that affect over 100 million people across the world. Many of these patients cannot be cured by pharmacological treatments or brain surgery, and their only option is brain machine interfaces (BMIs) that are used to monitor brain activity and suppress undesired neurological events using detection-triggered electrical stimulation.

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pilot programs in innovation and creativity

Position type: LURA

Position title:  Research Assistant/summer researcher

Professor: Dr. Andrew Maxwell

Number of positions available: 3

Contact: bestmax@yorku.ca

Summary of project:  BEST’s mandate is transform the STEM educational experience at Lassonde, and use our innovative activities in this area to attract students to York. We have piloted the bootcamp with a small cohort of CWSF finalists and incoming Lassonde students, and the online eCampus course with a limited number of York region students. Based on the feedback from our pilot programs and our partner organizations, in the Summer of 2018, we plan to expand these programs, in partnership with YSC, SHAD, and other universities across Canada and the US, to scale up our impact across the country, expanding beyond our traditional mandate.

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CROWDSOURCE BATHYMETRIC DATA COLLECTION PLATFORM

Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Dr. Mojgan Jadidi and Dr. Costas Armenakis

Number of positions available: 1

Contact: mjadidi@yorku.ca and armenc@yorku.ca

Summary of project: Crowd-Sourced Bathymetry (CSB) is envisioned by a certain number of International Hydrographic Organization (IHO) member states to supplement hydrographic databases with measurements from ships of opportunity. Canada envisions developing a crowd-sourced approach to face the huge challenge of collecting hydrographic data in the Northern Canada maritime areas.

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City 3D Database Design and Development

Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Dr. Mojgan Jadidi

Number of positions available: 1

Contact: mjadidi@yorku.ca

Summary of project: 3D virtual city space is a key characteristic of smart cities. The future of smart cities holds great potential for open 3D data while such data acts as a foundation to building 3D information coupled with stream data from Internet of Things (IoT) sensors. Having a comprehensive 3D data structure that can deal with dynamic and real time city space visualization is emergent in this regard.

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Big Transit Data Analytical System

Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Dr. Mojgan Jadidi

Number of positions available: 1

Contact: mjadidi@yorku.ca

Summary of project: Big data analysis requires the integration of multiple sources of data (static and streaming), belonging to different types (geospatial, textual, temporal and numerical), and detection of any apparent patterns, concepts or features within the data sets. Monitoring the operation of a day in a transit system is one such big data case. With the rapid growth of computing power and intense increase of AVL (Automatic Vehicle Location) data collection and storage capability, Go Transit, like any other organization, has collected a vast amount of data about its business operation. This data needs to be mined to find useful information for business and service improvement.

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Global Navigation Satellite System (GNSS)

Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Dr. Sunil Bisnath

Number of positions available: 1

Contact: sunil.bisnath@lassonde.yorku.ca, 416.736.2100 x 20556

Summary of project: To support Global Navigation Satellite System (GNSS) measurement processing algorithm development.  The project will involve assisting on-going research to significantly enhance the positioning and navigation performance of new GNSS chips for commercial and safety-of-life applications by means of measurement processing algorithm improvements.

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Testing and Modelling of the Elastomers in Tension at High Strain Rates

Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Dr. Alex Czekanski

Number of positions available: 1

Contact:  Alex.czekanski@lassonde.yorku.ca

Summary of project: The mechanical response of elastomers are greatly dependent on the applied strain rate. Nonlinear constitutive models can be used to model the response of the Elastomers at high strain rates. Experimentally testing the stress strain response of elastomers sample is used to derive the model parameters. To test elastomers at high strain rates a modified Kolsky tension bar is developed at IDEA-Lab.

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Deep Learning Approaches to Extract Information from Web data

Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Dr. Hui Jiang

Number of positions available: 2

Contact:  hj@cse.yorku.ca

Summary of project: Deep neural networks (DNNs) have achieved huge successes in many pattern classification tasks, including speech recognition, computer vision, and machine translation. In this project, the student will study DNN-based models for an interesting natural language processing (NLP) task, selecting from word embedding, language modelling, paraphrase, information extraction, coreference resolution, language understanding and inference, probabilistic reasoning. More specifically, the student will implement text pre-processing, training data preparation, neural model training and performance evaluation for the selected NLP task based on some standard corpora.

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Low-Cost alternative to Metallic Additive Manufacturing

Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Dr. Alex Czekanski

Number of positions available: 1

Contact:  Alex.czekanski@lassonde.yorku.ca

Summary of project: Additive manufacturing is a rapidly evolving technology, due to the flexibility it provides in manufacturing complex components. This technology has seen great leaps in the production of polymer based components due to relatively low melting temperatures, and the cost of polymers. However, there is still lack of a low cost alternative for metallic additive manufacturing, due in part to the high melting temperature and material cost.

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Aging Effect on the mechanical performance of 3D printed elastomers

Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Dr. Alex Czekanski

Number of positions available: 1

Contact:  Alex.czekanski@lassonde.yorku.ca

Summary of project: Fused deposition modelling in 3D printed is rapidly gaining popularity for the purpose of rapid prototyping. The mechanical strength of the products fabricated from this technique in which layers of materials are deposited on by one, is dependent on the selection of printing parameters. Moreover, elastomer materials are also known to show dependence on the applied rate of loading. Elastomeric products fabricated from 3D printing for dynamic application may respond differently than the bulk material properties with time.

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Characterization and Optimization of an Elastomer Based Soft Actuator

Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Dr. Alex Czekanski

Number of positions available: 1

Contact:  Alex.czekanski@lassonde.yorku.ca

Summary of project: 

Inspired by natural muscle, a key challenge in soft robotics is to develop self-contained electrically driven soft actuators with high strain density. Various characteristics of existing technologies, such as the high voltages required to trigger electroactive polymers (>1KV), low strain (<10%) of shape memory alloys and the need for external compressors and pressure-regulating components for hydraulic or pneumatic fluidic elastomer actuators, limit their practicality for untethered applications.

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SYSTEMS BIOLOGY: CELLS AS A COMMUNICATION SYSTEM

Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Dr. Andrew Eckford

Number of positions available: 1

Contact: aeckford@yorku.ca

Summary of project:  In systems biology, biological “components” (like cells) are reprogrammed to perform specific tasks. In this project, we will consider how cells can be used as part of a communication system: for example, the cells may be used to amplify a chemical signal. When used in this way, the cells must expend energy, diverting energy from other important tasks such as searching for food and basic metabolism; as a result, the cells may die. This sets up a tradeoff: on the one hand, we want to send our signals as quickly as possible; on the other hand, if we over-use the communication, it may fail. In collaboration with another research group, we will quantify this tradeoff and develop strategies for keeping the channel alive for as long as possible, thereby maximizing the amount of information that can be sent.

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Unmanned vehicle system for indoor suveillance

Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Dr. Jinjun SHan

Number of positions available: 1

Contact: jjshan@yorku.ca

Summary of project: This project is to develop an unmanned vehicle system for indoor surveillance and monitoring applications. A mobile robot has been purchased with stereo vision system for control and navigation research.

Through these activities, the student will gain experience in control and navigation system design, hardware and software development, etc. These experiences will be very helpful for the student's future study and work.

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Wireless non-contactable electrocardiogram sensor

Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Dr. Peter Lian

Number of positions available: 4

Contact: peterlian@eecs.yorku.ca

Summary of project: 

This project aims to develop a wireless non-contactable electrocardiogram (ECG) sensor that is able to non-invasively monitor changes in cardiac function of heart patients. Non-contactable ECG sensing means to measure ECG (or heart beats) without attaching multiple electrodes on the chest. Such sensors are more acceptable by patients, which may improve care compliance. It is also possible to provide real-time information remotely to doctors when the patient needs attention or help, especially for HF patient.

Heart failure (HF) is a growing epidemic in Canada. It is a significant health issue for hundreds of thousands of Canadians and their families, and its reach is expanding according the 2016 Report on the Health of Canadians from HEART & STROKE Foundation.  600,000 Canadians are living with HF. 50,000 Canadians are diagnosed each year with the HF. One in two Canadians has been touched by the HF. HF costs more than $2.8 billion per year. Heart failure, in simple terms, arises due to damaged valves or heart muscles. HF normally leads to reduced pumping capacity of the heart that can reduce exercise capacity and cause fatigue. HF can also result in an imbalance of blood pressure leading to fluid retention in the body, particularly congestion in the lungs, which can cause breathlessness. An acute episode of breathlessness typically sends the HF patient to the emergency department. The patient then spends on average five days in the hospital to stabilize his/her condition but remains susceptible to future decompensation. Prior to discharge, patient gets some time to learn a huge list of HF self-care instructions, which is usually overwhelming to the sick patient. This in turn leads to poor self-care at home and poor compliance to medication and diet, which are common causes for the patient’s HF rehospitalization. Thus, the rehospitalization rate is high, in the range of 14% to 24%, in Canada. With the proposed wireless non-contactable ECG sensors, it is possible to monitor the heart condition of HF patients during daily activities, which may achieve better compliance to self-care instructions and reduce the HF rehospitalizatio

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Machine learning algorithms for biosignals

Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Dr. Peter Lian

Number of positions available: 4

Contact: peterlian@eecs.yorku.ca

Summary of project: 

This project aims to develop a machine learning algorithms to extract heart rate information from biosignals recorded by wireless wearable electrocardiogram (ECG) sensors. The biosignals recorded by a wearable biomedical sensor normally contain motion artefacts and other noises, which greatly reduce the diagnostic value of these recordings. Traditionally, the recorded biosignals are processed by digital signal processing algorithms to remove noises before extracting useful information. With the advancement of machine learning techniques, it is possible to extract useful information directly from noise corrupted biosignals. These algorithms are very useful in detecting heart condition from ECG signals. Knowing the heart condition will be a great help for patients with cardiovascular diseases, especially for heart failure (HF) patients. Heart failure is a growing epidemic in Canada. It is a significant health issue for hundreds of thousands of Canadians and their families, and its reach is expanding according the 2016 Report on the Health of Canadians from HEART & STROKE Foundation.  600,000 Canadians are living with HF. 50,000 Canadians are diagnosed each year with the HF. One in two Canadians has been touched by the HF. HF costs more than $2.8 billion per year. HF, in simple terms, arises due to damaged valves or heart muscles. HF normally leads to reduced pumping capacity of the heart (cardiac output) that can reduce exercise capacity and cause fatigue. HF can also result in an imbalance of blood pressure leading to fluid retention in the body, particularly congestion in the lungs, which can cause breathlessness. An acute episode of breathlessness typically sends the HF patient to the emergency department. The patient then spends on average five days in the hospital to stabilize his/her condition but remains susceptible to future decompensation. Prior to discharge, patient gets some time to learn a huge list of HF self-care instructions, which is usually overwhelming to the sick patient. This in turn leads to poor self-care at home and poor compliance to medication and diet, which are common causes for the patient’s HF rehospitalization. Thus, the rehospitalization rate is high, in the range of 14% to 24%, in Canada.  With the machine learning based heart rate detection algorithm and wearable wireless sensors, it is possible to allow doctor to remotely access patient’s heart condition, which may provide just-in-time help for patient. It will also empower patient, their home-caregivers and practitioners to achieve better home care, and reduce rehosptialization rate.

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Position type: LURA, NSERC USRA

Position title:  Research Assistant/summer researcher

Professor: Dr. Magdalena Krol

Number of positions available: 1

Contact: magdalena.krol@lassonde.yorku.ca

Summary of project:  One of the largest impediments to the sustainability of urban areas is the presence of brownfield sites, abandoned or underutilized sites where industrial and commercial activity has contaminated soil and groundwater resources. These contaminated sites are unable to be re-developed and may potentially contaminate drinking water supplies, putting human and ecological health at risk. Currently, there are approximately 20,000-30,000 contaminated brownfield sites in Canada and at least 450,000 sites in the U.S.

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sustainability of urban areas