Academic Positions

  • Present 2014

    Assistant Professor

    Jordan University of Science and Technology, Computer Science

  • 2014 2013

    Post-Doc Researcher

    Tallinn University, Centre for Educational Technology

  • 2012 2010

    Senior Researcher

    Graz University of Technology, Institute for Information Technology and Computer Media

Education & Training

  • Ph.D. 2012

    Ph.D. in Computer Science

    Graz University of Technology, Austria

  • M.Sc. 2007

    Master of Computer Science

    The University of Jordan, Jordan

  • B.A. 2003

    Bachelor of Computer Science

    Al-Mustansriah University, Baghdad

Honors, Awards and Grants

  • 2015 - 2017
    Faculty Member Research Grant (FMRG)
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    Aspect-based Sentiment Analysis in Arabic Texts.
  • 2012
    Best Paper Award
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    Commended best paper award CAA 2012 (Computer Assisted Conference), UK.
  • 2009
    Best Paper Award
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    Best paper award MIPRO 2009 (Conference Computers in Education).

Laboratory Personel

David A. Doe

Postdoctoral fellow

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James Doe

Postdoctoral fellow

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Nadja Sriram

Postdoctoral fellow

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Davide Doe

Research Assistant

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Pauline Doe

Summer Intern

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James Doe

Postdoctoral fellow

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Great lab Personnel!

If you are interested to join us please don't hesitate to contact us.

Research Projects

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    Aspect Based Sentiment Analysis in Arabic Texts!

    2015 - 2017

    Sentiment Analysis (SA) is concerned with extracting the sentiments conveyed in a piece of text. Employing it to analyze the text comments people post on social media websites can be a more accurate measure of the public’s opinion than public polls. This is of great benefit to many parties including governments, corporations, etc. Despite the large interest in SA, the field is still young as most of the existing works focus on document-level or sentence-level SA. Recently, more effort and time have been dedicated to the more useful and more challenging aspect-based SA (ABSA). ABSA is concerned with analyzing a text (review/comment) written by human and extracting the possibly different sentiments the text convey about different aspects of different entities. This is a very challenging problem. Moreover, the limited existing works focus almost exclusively on English text. To the best of our knowledge, no prior work has addressed the ABSA of Arabic text. This work aims to take the first step into this difficult unchartered domain.

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    Detecting paraphrasing and semantic similarity in Arabic Tweets

    2015 - 2016

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    Evaluating News Affect on Readers

    2014 - 2015

    The rapid increase in digital information has raised great challenges especially when it comes to automated content analysis. The adoption of social media as a communication channel for political views demands automated methods for posts’ tone analysis, sentiment analysis, and emotional affect. This project proposes a novel approach of using aspect-based sentiment analysis in evaluating Arabic news posts affect on readers.

Current Teaching

  • Present 2014

    CS722: NATURAL LANGUAGE PROCESSING

    An introduction to the problems of computing with human languages. Parsing. Semantic representations. Text generation. Lexicography. Discourse. Sublanguage studies. Applications to database interfaces and information retrieval.

  • Present 2013

    CS318: HUMAN-COPUTER INTERACTION

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  • Present 2015

    CS462: Knowledge Engineering & Expert Systems

    Architecture of expert systems, including the structure of knowledge bases and various knowledge representation methods, inference engines and reasoning techniques, and search and exploitation of domain-specific knowledge through heuristic knowledge acquisition. Discussion of expert system shells, and their capabilities and limitations. Projects in specific disciplines using available shells.

Teaching History

  • 2014 2013

    Semantic Computing - Graduate

    Semantic computing is rapidly evolving interdisciplinary research field, in which computer content is structured and organized in a way to better match the user needs and intentions, thus to create more meaningful user experience. The course will provide some insights for the domain of semantic computing enabling the students to understand the aspects related to research, technologies and application domains of the field. The students will use their experience form other elate fields such as natural language analysis, machine learning, intelligent systems, social computing, multimedia semantics, software engineering, and many others to build new experiences related to the field semantic computing in different disciplines. The course covers different topics related to semantic computing based on introduction to the concepts, technology, applications and future of semantic computing. Topics to be covered are mainly categorized into: semantic analysis, semantic languages and integration, semantic applications, and semantic programming and interfaces. More specific topics - such as Tagging and Tag analysis, Linked Data, Semantic Repositories and Semantic Information Retrieval, Ontologies and Semantic Web, Semantic Systems Engineering, and Application Domains are covered in this course.

  • 2014 2013

    User Modeling and Recommender Systems - Graduate

    User modeling is a cross-disciplinary research field that attempts to construct models of human behavior within a specific computer environment. The goal is not to imitate human behavior but to make the machine able to understand what the expectations, goals, knowledge, information needs, and desires of a user are in terms of a specific computing environment. Recommendations utilize the information stored in a user model. Simple examples of a recommendation system are e-commerce sites which make use of the user’s previous purchasing and browsing behavior to recommend new products or personalized news recommendation based on the user's previous news articles read. In this class the focus is on obtaining a general understanding of state of the art user modeling techniques and recommendation mechanisms. The student will learn to critically discuss relevant topics and apply the mechanisms to different domains. They will do a course project where groups of students virtually design a system that explicitly models the user and provide recommendations in a domain chosen by the group. Students will learn about the techniques through presentations; reading/discussing seminal papers in the user modeling and recommendation literature and interactive experiments during the lecture hours. Each student will either write a survey of one chosen topic that relates to the student's interest/background or an implementation of a simple system (eg. mobile application, design prototype).

  • 2014 2014

    CIS302: Fundamentals of Multimedia

    This course presents the fundamental concepts of Multimedia, Text, Audio, Video, Animation.

  • 2014 2014

    CS789:SEMINAR IN ADVANCED COMPUTER SCIENCE TOPICS

    By studying this course students will be taught how to write a proposal, find related material (in the library, on the web, etc), present their work in front of audience, defend their work, know art of writing scientific papers, etc.

At My Office

You can find me at my office located at Jordan University of Science and Technology, Engineering Building, C5-L2.

I am at my office every day, but you may consider a call to fix an appointment.

At My Work

At My Lab