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Sedeeq Al-khazraji

Graduate Research Assistant at R.I.T.

about me

about me

I am a third year Ph.D. student in Computing and Information Science at the Golisano College of Computing and Information Sciences, Rochester Institute of Technology (RIT) under the advisement of Prof. Matt Huenerfauth. My research goal is to build technologies that address real-world problems by integrating data-driven methods and human-computer interaction. I am interested in investigating human needs and challenges that may benefit from advancements in artificial intelligence. My research involves the application of machine learning and analytics research to benefit people with disabilities, especially assistive technologies that model human communication and behavior such as sign language avatars.

  • CAIR
  • LATLab

personal details

Full Name : Sedeeq Al-khazraji
Phone : +1 (585) 406-8767
Email : sha6709@rit.edu

Publications

Publications

2019

Abhishek Mhatre, Sedeeq Al-khazraji, Matt Huenerfauth. 2019 (to appear). "Evaluating Sign Language Animation through Models of Eye Movements." Journal on Technology and Persons with Disabilities, California State University, Northridge.

[To be Available on ScholarWorks]

Abhishek Kannekanti, Sedeeq Al-khazraji, Matt Huenerfauth. 2019 (to appear). "Design and Evaluation of a User-Interface for Authoring Sentences of American Sign Language Animation." 21st International Conference on Human-Computer Interaction, Orlando, Florida, USA.

2018

Sedeeq Al-khazraji, Larwan Berke, Sushant Kafle, Peter Yeung, and Matt Huenerfauth. 2018. "Modeling the Speed and Timing of American Sign Language to Generate Realistic Animations." The 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18), Galway, Ireland.

Best Paper Award.

Conference acceptance rate of 26%

[Available on ACM Digital Library]

Sedeeq Al-khazraji. 2018. "Using Data-Driven Approach for Modeling Timing Parameters of American Sign Language." In Proceedings of the Doctoral Consortium of the 20th ACM International Conference on Multimedia Interaction.

[Available on ACM Digital Library]

Sedeeq Al-khazraji, Sushant Kafle, and Matt Huenerfauth. 2018. "Modeling and Predicting the Location of Pauses for the Generation of Animations of American Sign Language." In Proceedings of the 8th Workshop on the Representation and Processing of Sign Languages: Involving the Language Community, The 11th International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan.

[Available on LREC]

Jigar Gohel, Sedeeq Al-khazraji, Matt Huenerfauth. 2018. "Modeling the Use of Space for Pointing in American Sign Language Animation." Journal on Technology and Persons with Disabilities, California State University, Northridge.

[Available on ScholarWorks]

Dhananjai Hariharan, Sedeeq Al-khazraji, Matt Huenerfauth. 2018. "Evaluation of an English Word Look-Up Tool for Web-Browsing with Sign Language Video for Deaf Readers." Universal Access in Human-Computer Interaction, Lecture Notes in Computer Science.

[Available on Springer]

2017

Sedeeq Al-khazraji and Matt Huenerfauth. 2017. Modeling the Distribution of Spatial Reference Points Established in Space by American Sign Language Signers in a Motion Capture Data Corpus. 10th Annual Graduate Showcase, Rochester, New York, USA. November 3, 2017. Poster Presentation.
Best Poster Award

Sedeeq Al-khazraji and Matt Huenerfauth. 2017. Modeling the Speed and Timing of American Sign Language to Generate Animations. Effective Access Technologies Conference, Rochester, New York, USA. April 21, 2017. Poster Presentation.

Sedeeq Al-khazraji and Matt Huenerfauth. 2017. Modeling the Speed and Timing of American Sign Language to Generate Animations. Move 78 Retreat on Artificial Intelligence, Rochester Institute of Technology, Rochester, New York, USA. February 17, 2017. Poster Presentation.

My Projects

My Projects For a full list of my projects, please check out the detailed Ph.D. projects page and the projects other than my Ph.D. research area.

education

education

Work Experience

Work Experience

Graduate Research Assistant

  • May 2016 - Present

Created predictive models for American Sign Language (ASL) animations using Python and XML. Applied feature engineering on sentence syntax to predict appropriate ASL speeds and timing transitions. Trained classifiers using Python and Matlab to predict natural pauses: Linear-Chain CRF, Tree Based, and SVM models. The final model outperformed the baseline with 80% F1-Score accuracy. Identified appropriate signing speed through a Gradient Boosted Regression Trees model using Python and R. The final model outperformed state-of-the-art rule-based models with a 23.8% lower RMSE score. Visualized the locational distribution of the three most common pointed clusters in ASL. Implemented a Gaussian Mixture Model (GMM) of 3D motion capture data in Python.


Managed and collaborated with a full-stack platform team of user experience researchers, designers, and software engineers. Supervised master students in system GUI design and backend programming of the EMBR system.

Data Analyst Tutor

  • April 2018 - January 2019

Udacity & Dubai Future Foundation: Tutored students on SQL, statistics, and data analysis at the "One Million Arab Coders" initiative.

NSF REU Mentor

  • May 2017 - September 2017

National Science Foundation (NSF-REU): Mentored undergraduate students on research methods and statistics.

Assistant Lecturer

  • April 2010 - November 2014

Taught a wide range of courses in Computer Sciences (Software Programming, Structured Programming, Distributed Databases, Linux Operating System, etc).

Taught industry training workshops on SQL server and C# for government employees.

Served on various university committees.

Software Engineer

  • June 2010 - May 2014

Developed multiple applications for companies and large government organizations, e.g. the Department of Education for the City of Nineveh. Gathered user requirements, defined system functionality, and wrote code in Visual C#, VB.NET, ASP.NET, and C++ using various database management systems (e.g. Microsoft SQL Server). This project increased employee productivity in record automating and improved human resources department functionality.

Software Engineer

  • June 2001 - July 2007

Developed applications for individual customers and small businesses. Gathered user requirements, defined system functionality, and wrote code in Visual Basic and C++ using database management systems such as SQL Server, Oracle, and Microsoft Access.

04 Awards

01 SIGACCESS Best Paper Award
2018

Presented at ACM SIGACCESS Conference on Computers and Accessibility

02 Best Poster Award
2017

R.I.T Graduate Showcase

03 HCED Ph.D. Merit Scholarship
2014

Full scholarship and stipend support for Ph.D. study

04 2nd Rank Award
2004

Ranked 2nd out of 73 students (Top 5%) in the College of Computer Sciences and Mathematics for B.S. study

Timeline

Latest News

2018

December

  • Our paper "Design and Evaluation of a User-Interface for Authoring Sentences of American Sign Language Animation" has been accepted at the HCII 2019.

October

October

October

June

  • Our paper "Modeling the Speed and Timing of American Sign Language to Generate Realistic Animations" was accepted at the ASSETS 2018 conference, and was nominated for a Best Paper Award.

April

January

  • Our workshop paper "Modeling and Predicting the Location of Pauses for the Generation of Animations of American Sign Language" was accepted at the LREC 2018.

2017

November

  • The paper to which I contributed, "Evaluation of an English Word Look-Up Tool for Web-Browsing with Sign Language Video for Deaf Readers," was accepted at HCII 2018.

October

  • Our paper "Modeling the Use of Space for Pointing in American Sign Language Animation" was accepted at the CSUN 2018.

May

May

  • Successfully defended my Ph.D. Research Potential Assesment (RPA).

2016

August

  • Started working as a research assistant at the CAIR lab and LATLab.

skills

Research Interest

Technical Skills

Python
90%
Visualization
85%
VB.NET
90%
R
85%
SQL Server
90%
C#.Net
90%

languages skills

ENGLISH
Arabic
ASL

contact me

contact me

If you have any questions please do not hesitate to contact me.

phone

Phone +1 (585) 406-8767

SkypeSedeeq.al-khazraji

Office


102 Lomb Memorial Drive
70-1620 Computing and Info Sciences
Rochester, NY 14623

Contact me