CSE Undergrad News

Hello CSE students!

Details below:

Infant Movements Analysis

Title: Analyzing Infant Movements using Kinect V2 Depth Camera

Description: Cerebral palsy is the most common pediatric movement disorder and is caused by an injury to the brain near the time of birth. However, injuries to the brain near birth often go undetected and the average age of cerebral palsy diagnosis remains 19 months of age. Early detection of cerebral palsy and other developmental disorders is crucial for early intervention and preventing long term movement impairments and musculoskeletal deformities. Prior research has demonstrated that analysis of general or fidgety movements in the first months of life can be a useful predictor of development and cerebral palsy. The main goal of this research is to evaluate if depth or RGB data can be used to detect impaired movements from an early stage using computer vision and machine learning techniques. We will collaborate with Nationwide Children’s Hospital and Seattle Children’s Hospital in all stages of this project.

We are looking for a highly motivated student to assist with development, testing, and data analysis. They will work closely with our research laboratory and clinical partners. The student will earn research credit based on his/her contribution.

Minimum Requirements: Undergraduate or Master’s Students in Computer Science with Computer Vision experience.

To Learn More:

Features for Movement Prediction of Cerebral Palsy

Body Part Tracking of Infants

Method to Predict Infantile Cerebral Palsy

Identification of Fidgety Movements

Optical Flow Applied to Infant Movement

Assessment of Specific Characteristics of Abnormal General Movements

Fetal and Infant Spontaneous General Movements

General Movements as a Predictive Tool of Neurologic Outcomes

If you are interested in this project, please send your resume and a short description of your interest, career goals, and relevant skills to:

Contact name: Bilge Soran & Keshia Peters

Contact email: bilge@cs.washington.edu & rumbek@uw.edu

_____________________________________________________________________________________________________________

Hand Function Analysis

Title: Comparing hand function in cerebral palsy (CP) using Intel Depth Camera

Description: The most common surgical procedure by hand surgeons in cerebral palsy is for the thumb-in-palm deformity. Clinicians often use qualitative means to determine whether or not to use surgical intervention as a treatment. The overall goal of this research is to provide clinicians with objective treatment suggestions based on a quantitative evaluation. Such a system can be achieved by applying machine learning techniques that help distinguish different cases. Sub-goals include testing the system against clinical findings and creating a user friendly GUI for the clinician’s use.

We are looking for a highly motivated student to assist with development, testing, and data analysis. They will work closely with our research laboratory and clinical partners at Gillette Children’s Specialty Healthcare.

Minimum Requirements: Undergraduates in Computer Science with Computer Vision experience. We expect students to be able to commit to a minimum of three quarters and 10 hours/week.

To Learn More:

Upper extremity surgical treatment within cerebral palsy population

If you are interested in this project, please send your resume and a short description of your interest, career goals, and relevant skills to:

Contact name: Bilge Soran & Keshia Peters

Contact email: bilge@cs.washington.edu & rumbek@uw.edu

USC Engineering will host an information session at University of Washington next week.

The deadline for the Mary Gates Research Scholarship is Monday, October 26 at 5 PM.  These scholarships give up to $4000 (2 quarters) directly to UW students who are engaged in research.  Graduating seniors can apply and can receive $2000 for 1 quarter.  Please encourage your outstanding research students to apply.

If it is too late for Autumn Quarter, there will be another round in Winter 2015.

For more information, see:

http://expd.washington.edu/mge/index.htm

Thanks.

Brian

Brian C. Fabien
Associate Dean, Academic Affairs
College of Engineering

Professor, Department of Mechanical Engineering
University of Washington
Seattle, WA 98195
http://www.uwecocar.com
http://www.me.washington.edu/research/faculty/fabien/index.html

Hand Function Analysis and Infant Movements Analysis Research teams looking for ugrads, see below for details.

_______________________________________________________________

Hand Function Analysis

Title: Comparing hand function in cerebral palsy (CP) using Intel Depth Camera

Description: The most common surgical procedure by hand surgeons in cerebral palsy is for the thumb-in-palm deformity. Clinicians often use qualitative means to determine whether or not to use surgical intervention as a treatment. The overall goal of this research is to provide clinicians with objective treatment suggestions based on a quantitative evaluation. Such a system can be achieved by applying machine learning techniques that help distinguish different cases. Sub-goals include testing the system against clinical findings and creating a user friendly GUI for the clinician’s use.

We are looking for a highly motivated student to assist with development, testing, and data analysis. They will work closely with our research laboratory and clinical partners at Gillette Children’s Specialty Healthcare.

Minimum Requirements: Undergraduates in Computer Science with Computer Vision experience. We expect students to be able to commit to a minimum of three quarters and 10 hours/week.

To Learn More:

Upper extremity surgical treatment within cerebral palsy population

If you are interested in this project, please send your resume and a short description of your interest, career goals, and relevant skills to:

Contact name: Bilge Soran & Keshia Peters

Contact email: bilge@cs.washington.edu & rumbek@uw.edu

__________________________________________________________________

Infant Movements Analysis

Title: Analyzing Infant Movements using Kinect V2 Depth Camera

Description: Cerebral palsy is the most common pediatric movement disorder and is caused by an injury to the brain near the time of birth. However, injuries to the brain near birth often go undetected and the average age of cerebral palsy diagnosis remains 19 months of age. Early detection of cerebral palsy and other developmental disorders is crucial for early intervention and preventing long term movement impairments and musculoskeletal deformities. Prior research has demonstrated that analysis of general or fidgety movements in the first months of life can be a useful predictor of development and cerebral palsy. The main goal of this research is to evaluate if depth or RGB data can be used to detect impaired movements from an early stage using computer vision and machine learning techniques. We will collaborate with Nationwide Children’s Hospital and Seattle Children’s Hospital in all stages of this project.

We are looking for a highly motivated student to assist with development, testing, and data analysis. They will work closely with our research laboratory and clinical partners. The student will earn research credit based on his/her contribution.

Minimum Requirements: Undergraduate or Master’s Students in Computer Science with Computer Vision experience.

To Learn More:

Features for Movement Prediction of Cerebral Palsy

Body Part Tracking of Infants

Method to Predict Infantile Cerebral Palsy

Identification of Fidgety Movements

Optical Flow Applied to Infant Movement

Assessment of Specific Characteristics of Abnormal General Movements

Fetal and Infant Spontaneous General Movements

General Movements as a Predictive Tool of Neurologic Outcomes

If you are interested in this project, please send your resume and a short description of your interest, career goals, and relevant skills to:

Contact name: Bilge Soran & Keshia Peters

Contact email: bilge@cs.washington.edu & rumbek@uw.edu

STREAM Tools developer

XML Programmer

General Duties/Description:

• Design of a Microsoft Add-In for ACM to convert their papers into XML form following the Article Authoring Tag Set (http://jats.nlm.nih.gov/articleauthoring/) issued by the National Information Standards Organization (NISO). Will also include collaboration with members in STREAM Tools project.
• Participate in weekly teleconferences with the Director of SEAL, Alexander Mamishev, to discuss progress and updates.

Requirements:

• Knowledge of or interest in ultilizing “System.Xml” package inside Windows system.
• Familiarity with reading and creating XSLT files for WordOpenXml conversion is a plus.

Salary:

Normally, the initial appointment is for credit only. However, as students get involved in the projects, paid positions become available. Projects also provide a better resume for scholarships, fellowships, recommendation letters, and graduate school applications.

How to Apply:

If interested and qualified (again, either high grades or experience), please send your cover letter, unofficial transcript, and resume to Brandon Ngo at ngo12@uw.edu.

Cell Phone Programming

General Duties/Description:

• Participate in the design of apps for sensor projects.
• Participate in weekly team meetings and teleconferences.
• If interested, join research commercialization teams. Topics are reflected at

https://www.dropbox.com/s/zp3k5rjndq19ebx/QuadCharts.pptx?dl=0

Requirements:

• GPA 3.3 or above.
• Familiarity with programming Android and iOS cell phones (details depend on the project.)

Salary:

Normally, the initial appointment is for credit only. However, as students get involved in the projects, paid positions become available. Projects also provide a better resume for scholarships, fellowships, recommendation letters, and graduate school applications.

How to Apply:

If interested and qualified (again, either high grades or experience), please send your cover letter, unofficial transcript, and resume to Alexander Mamishev, mamishev@uw.edu.

General SEAL Lab Info

www.ee.washington.edu/research/seal

e Science Institute:

Undergraduate student needed to assist with developing computational tools to assess the impacts of
climate change on glacier melt.

Tasks will include:
•   deploy PostgreSQL databases to manage environmental datasets
•   develop APIs to serve environmental data through a simple web interface
•   innovate new approaches for querying gridded datasets
•   deploy Azure VM and SaaS tools to support geophysical research

YOU:
•   are a highly-motivated student with strong problem solving skills
•   have strong coding skills using Python and SQL
•   are familiar with cloud computing technologies

WE:
•   are a team of researchers assessing glacier response to climate change
•   are working to integrate cloud technologies into environmental sciences
•    will work with you to design a project that aligns with your studies

For more information, contact Dr. Anthony Arendt: arendta@uw.edu
@aaarendt
ice2ocean

Nano­Optoelectronic Integrated System Engineering (NOISE) Lab is looking for bright and highly motivated undergraduate research assistants to aid in our research in nanophotonics. Undergraduates who demonstrate ample ability and dedication will have the opportunity to earn credit for working in the lab. There is also the potential for undergraduate research assistants to become paid members of the research team. Currently available projects are:

Monte Carlo Modeling of Light Transport through Human Tissue:
Job Description:
Noninvasive diagnostics are highly desirable as they minimize damage done during the operation/procedure. Using light as a diagnostic tool is very valuable for this reason, but the complex nature of how light scatters has prevented scientists from realizing such a diagnostic. A student who is hired under this position will use and expand upon existing code in C and Matlab to further understand how light is scattered through biological tissue by using Monte­Carlo methods.

Expectations:
–       10+ hours a week in lab.
–       Attend group meetings.

Requirements:
–       Previous programming experience.
–       C/C++ programming preferred.
–       Phys 123.
–       Math 308.
–       Math 307.
–       G.P.A. 3.0+, but 3.5+ strongly preferred

2D Material Enabled Nanophotonic Devices:
Job Description:
A student hired under this position will work closely with graduate students and postdoctoral fellows on optoelectronic devices from nanophotonic resonators and a new class of materials that are a single atom thick – 2D materials. The art of finding 2D materials is difficult and time consuming, but the rewards are great as these materials have unique properties that allow for nanowatt L.E.D.s, broadband absorption, amongst many other unique features. Students working under this position will be an active member of building new and exciting optoelectronic devices including .

Expectations:
–       10+ hours a week in lab.
–       Attend group meetings.

Requirements:
–       Completion of at least two quarters of introductory STEM coursework.
­       G.P.A. 3.0+

Inverse Electromagnetic Design:
Job Description:
Nanophotonic resonators are devices that confine light for a long period of time in a specified region that can be on the order of a wavelength of light. These devices are nontrivial to design with the best method being a direct simulation using the Finite Difference Time Domain (FDTD) solver which explicitly solves Maxwell’s equations at each time step, which is time consuming and requires expensive hardware to solve large systems in a reasonable amount of time. Arka’s colleague made significant progress towards a method of specifying the desired field profile and solving for the resonator structure that produces the specified field. We would like to continue this research, but we first must replicate the results already demonstrated. An undergraduate hired for this position will work closely with one of the lab’s graduate students to reproduce the published results.

Expectations:
–       10+ hours a week in lab.
–       Attend group meetings.

Requirements:
–       Previous programming experience.
–       Math 308, or other linear algebra course.
–       Math 307, or other differential equations course.
–       Phys 123.
–       G.P.A. 3.0+, but G.P.A. 3.5+ strongly prefered.

If you are interested in applying to work in our lab please contact Arka at arka@uw.edu with your CV and transcript. You can learn more about our research group at:  http://www.ee.washington.edu/research/amlab/.

********************** Undergrad. Involvement in Research***