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Dive into the research topics where Ashraf Gaffar is active.

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Featured researches published by Ashraf Gaffar.


ieee international conference semantic computing | 2017

Exploring Double Subjectivity through News Frames in Online News Sources: A Network Approach

Loretta H. Cheeks; Ashraf Gaffar

The Internet is a major source of online news content. Current efforts are made to unlock latent meaning in online news content using advanced language processing tools and machine intelligence. This necessitates exploring the internal structure of news narratives to cope with the challenges posed by limitations of existing tools. This article explores the conceptualization of Double Subjectivity in news frames as deployed by online news sources. We propose a new perspective by exploring a) a News Frame Issues Network that is useful for describing the structure of online news media and b) formulating an influence model for understanding the dynamics of bias that underpins Double Subjectivity. This research has the potential to inform more intelligent conclusions about narrative text meaning (or semantics) to address real-world socio-environmental issues. We use water insecurity in the Southwestern United States as our contextual case. Our experimental evaluation shows the proposed network and model is an effective approach for advancing what we know about the production of language in narrative text where subjectivity exist.


frontiers in education conference | 2015

Building faculty expertise in outcome-based education curriculum design

Srividya K. Bansal; Ashraf Gaffar; Odesma Dalrymple

An information technology (IT) tool that can guide STEM educators through the complex task of course design development, ensure tight alignment between various components of an instructional module, and provide relevant information about research-based pedagogical and assessment strategies will be of great value. A team of researchers is engaged in a User-Centered Design (UCD) approach to develop the Instructional Module Development System (IMODS), i.e., a software program that facilitates course design. In this paper the authors present the high-level design of the IMODS and demonstrate its use in the development of the curriculum for an introductory software engineering course.


121st ASEE Annual Conference and Exposition: 360 Degrees of Engineering Education | 2014

User Research for the Instructional Module Development (IMOD) System

Odesma Dalrymple; Srividya K. Bansal; Ashraf Gaffar


ieee international conference on cloud computing technology and science | 2013

The Failure and Success of Unstructured Data Reuse a Pragmatic Analysis

Ashraf Gaffar; Abdessamad Tridane; Eman Monir Darwish


ubiquitous intelligence and computing | 2017

Undesign: Future consideration on end-of-life of driver cars

Ashraf Gaffar; Shokoufeh Monjezi Kouchak


ubiquitous intelligence and computing | 2017

The future of brain-computer interaction: How future cars will interact with their passengers

Giuseppe Edwardo Thum; Ashraf Gaffar


ubiquitous intelligence and computing | 2017

Determinism in future cars: Why autonomous trucks are easier to design

Shokoufeh Monjezi Kouchak; Ashraf Gaffar


ubiquitous intelligence and computing | 2017

Social dilemma of autonomous cars a critical analysis

Manju Bisht; John D. Abbott; Ashraf Gaffar


ubiquitous intelligence and computing | 2017

Quantitative driving safety assessment using interaction design benchmarking

Ashraf Gaffar; Shokoufeh Monjezi Kouchak


ubiquitous intelligence and computing | 2017

Autonomous trucking: The interplay between design and business constraints

John D. Abbott; Ashraf Gaffar; Manju Bisht

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John D. Abbott

Arizona State University

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Manju Bisht

Arizona State University

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Abdessamad Tridane

United Arab Emirates University

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