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Sedeeq Al-khazraji

Research Assistant in R.I.T.

In God we trust. All others must bring data.

Data scientist with a demonstrated ability to deliver valuable insights via data analytics and advanced data-driven methods.

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 : (585) 406-8767
Email : sha6709@rit.edu

Research Interest

skills

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

languages skills

ENGLISH
Arabic
ASL

education

education

My Portfolio

My Portfolio

Modeling Signing Rate for American Sign Language (ASL) Animations

Trained Gradient Boosted Regression Trees model to adjust signing speed in ASL. My model lowered RMSE by 23.8% compared to the state-of-art models.

Modeling and Predicting the Pauses Locations for ASL Animations

Analyzed data of ASL recordings using Python and engineered features based on the sentence syntax, for training and evaluating classification models to predict, where to insert pauses in ASL animations. Trained Linear-Chain CRF, Tree Based, and SVM models. My model outperformed the baseline with 80% F1-Score accuracy.

Analysis of the Performance of Android Advertisement Libraries

I built a framework to evaluate the performance of ad networks. I measure the performance along five dimensions: Memory, CPU, Network, System calls, and Energy. I evaluate the 10 most popular ad networks using my toolchain. This analysis assists Android developers with various developments recommendations.

Modeling the Use of Space for Pointing in American Sign Language Animation

Analyzed the locational distribution of spatial reference points established by an ASL signer in motion captured dataset and modeled them using Gaussian Mixture Model (GMM) in three most common pointed clusters which helped in improving the pointing feature of existing ASL animation tool.

Modeling Pause Duration in American Sign Language (ASL) Animations

Used statistical techniques for hypothesis testing and regression modeling to predict pause duration in ASL animations. Prepared data, detected outliers, transformed data, selected features, and evaluated models in R.

Publications

Publications

2018

Sedeeq Al-khazraji, Larwan Berke, Sushant Kafle, Peter Yeung, and Matt Huenerfauth. 2018 (to appear). "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.
Conference acceptance rate of 25% (preliminary)

[access via 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.

[To be 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.

[access via 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.

[access via ScholarWorks]

Dhananjai Hariharan, Sedeeq Al-khazraji, Matt Huenerfauth. 2018 (to appear). "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.

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.

Work Experience

Work Experience

Graduate Research Assistant.

  • May 2016 - Present

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.

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 2014 - November 2015

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.

03 Awards

01 HCED Ph.D. Merit Scholarship

Full scholarship and stipend support for Ph.D.

02 Second rank in the Dept. of Computer Sciences AWARDs

I ranked 2 of 73 students.

03 Best Poster Award

Modeling the Distribution of Spatial Reference Points Established in Space by American Sign Language Signers in a Motion Capture Data Corpus. The Annual Graduate Showcase, Rochester, New York, USA. November 3, 2017.

Timeline

Latest News

Soon

2018

June

  • Our paper "Modeling the Speed and Timing of American Sign Language to Generate Realistic Animations" was accepted at the ASSETS 2018 conference.

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.

contact me

contact me

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

phone

Mob.(585) 406-8767

SkypeSedeeq.al-khazraji

Office


102 Lomb Memorial Drive
74-1620 Computing and Info Sciences
Rochester, NY 14623

Contact me