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Sedeeq Al-khazraji

Research Assistant in 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
  • R.I.T.

personal details

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

Publications

Publications

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 projects page.

Modeling Speed & Timing of American Sign Language (ASL) Animations

Using motion-capture data recorded from humans to train machine learning models to predict realistic timing parameters for ASL animation.

Automatic Speech Recognition (ASR) for Meeting

Developing a research tool that investigates the automatic captioning benefit between hearing and hard-of-hearing (D/HH) individuals in group meetings.

Modeling the Use of Space for Pointing in ASL Animations

Analyzed the locational distribution of spatial reference points established by an ASL signer and modeled them using Gaussian Mixture Model (GMM) which helped in improving the pointing feature of ASL animation tool.

education

education

Work Experience

Work Experience

Graduate Research Assistant.

  • May 2016 - Present

Conducted research on modeling 3D motion data of human movements, based on a large dataset of recordings of people performing American Sign Language (ASL), to create predictive models of aspects of human movement, which can be used to synthesis ASL animations.

Completed individual research projects in the areas of feature engineering, optimization, classification, regression, clustering, and visualization – using Python, R, and SQL – in courses on Quantitative Foundations, Statistical Machine Learning, Regression Analysis, and Intro to Big Data.

Data Analyst Tutor.

  • April 2018 - August 2018

One Million Arab Coders, [Udacity & Dubai Future Foundation]. Tutoring students on SQL, statistics, and data analysis.

NSF REU Mentor

  • May 2017 - Aug 2017

National Science Foundation (NSF-REU) Mentored undergraduate students in Summer 2017 on research methods and statistics.

Assistant Lecturer

  • April 2005 - November 2014

Taught courses in Computer Science, e.g. Software Programming, Structured Programming, Distributed Databases, and Linux Operating System. Served on various university committees.

Software Engineer.

  • Jun 2010 - 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#, Visual Basic, and ASP.NET, Matlab, and C++, using various database management systems (e.g. Microsoft SQL Server).

Software Engineer.

  • Jun 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 2018 SIGACCESS Best Paper Award

ACM SIGACCESS Conference on Computers and Accessibility

02 HCED Ph.D. Merit Scholarship (2014)

Full scholarship and stipend support for Ph.D.

03 2nd Rank Award (2004)

Rank: 2/73 (Top 5%)

04 Best Poster Award (2017)

R.I.T Graduate Showcase.

Timeline

Latest News

2018

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 that I am pleased to have contributed to "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
90%
Matlab
85%
R
85%
SQL Server
90%
C#.Net
85%

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