nada attar - Semantic Scholar
NADA ATTAR 1 Devonshire Place, Suite 1205, Boston MA 02109 · [email protected] · www.cs.umb.edu/~nattar RESEARCH INTEREST Cognitive and perceptual processing, data mining, human-computer interaction, information visualization, · interaction styles, machine learning, neural networks, pattern recognition. EDUCATION 2010 – Present
UNIVERSITY OF MASSACHUSETTS - BOSTON Boston, MA Doctor of Philosophy, Visual Attention Laboratory, Computer Science – Computer Science Department Thesis title: Enhancing Cognitive Load Measurement and User Performance in Human Computer Interac· tion Research in cognitive and perceptual processing, human eye movement · Modeling different methods of cognitive task using machine learning methods to enhance pupil-based · memory load estimation Project work involving computational modeling, data mining, machine learning, data analysis, statistics, · and computer vision
2007 – 2009
TUFTS UNIVERSITY Master’s in Computer Science, Graduate School of Engineering Master’s project on human user interfaces and user experience · Coursework in Algorithms, Object-Oriented Programming, Theory of Computation, etc ·
2001 – 2005
KING ABDUL AZIZ UNIVERSITY Jeddah, Saudi Arabia Bachelor’s in Computer Science, Magna Cum Laude Senior project won 1st place: LAN-based scheduling system connecting university faculty computers · 1st place award in web design competition using HTML, CSS, JavaScript, Apache, mySQL, & PHP for · database-driven site to connect the homeless to benefactors
Medford, MA
PROFESSIONAL EXPERIENCE 2010 – 2013
HARVARD UNIVERSITY Cambridge, MA Fellow, Harvard College Observatory, Faculty of Arts and Sciences, Laboratory of Visual Learning, Harvard-Smithsonian Center for Astrophysics Developing a handheld interface to improve learning for Dyslexia and other learning disabilities · Implementing an iPad reader app that uses adjustable settings to improve readability for Dyslexics ·
Summer 2014
IBM RESEARCH THOMAS J. WATSON RESEARCH CENTER Yorktown Heights, NY Research Intern, Customer Experience Lab Developed app that collects data and provides visualizations on client interactions to inform which IBM · products to focus on during on-site visits, and improve customer experience and engagement App presented to Ginni Rommetty, Chairman, President, & CEO of IBM · THINKlab Developed "help" functionality for researcher interaction portal used in IBM Watson THINKLab using · jQuery, and HTML
TECHNICAL SKILLS, HOBBIES, LANGUAGES Technical Skills: C, C++, Objective C, Java, Python, MATLAB, Cocoa, etc · Applications: iOS app, Android app, Google app engine · Hobbies: Equestrianism, home décor, cooking · Languages: English, Arabic · TEACHING SKILLS Spring 2016 2015 – Present
2010 – 2015
UNIVERSITY OF MASSACHUSETTS - BOSTON Lecturer, Computer Science Department . CS210: Intermediate Computing with Data Structures. Description: taught data structures and Algorithms using Java. Instructor and Tutor, Navitas at UMass Boston · Pre-Master’s Program Seminar Tutorial. Description: help students with algorithms, databases, and introduction to Java and Python
Boston, MA
Project Co-supervisor, Visual Attention Laboratory, Computer Science Department Coached students on using an eye-tracker equipment, programming in MATLAB and Objective C ·
Spring & Fall 2008 TUFTS UNIVERSITY Spring 2009 Teaching Assistant (part time), Computer Science Department COMP 11: Introduction to Computer Science. · Description: assisted students with C++ programming lab assignments and projects.
Medford, MA
PROFESSIONAL ACTIVITIES · Founder and President. Computer Science Graduate Students Association (CSGSA), University of Massachusetts Boston, 2015 – present. · Judge (poster session). Second annual intercollegiate Scientista Symposium, Microsoft Office, NY, USA, 2015. Session Chair and Student Volunteer. IEEE 82nd Vehicular Technology Conference: VTC2015, Boston, · USA, 2015. Referee. FIRST LEGO League (FLL) - for Robot Game and Project, Jeddah, Saudi Arabia, 2009 - 2010. · Member of Women in Science at Umass Boston. · CONFERENCE REVIEWER · Cognitive Science Society 2016. RESEARCH AND PUBLICATIONS Journal Articles · Attar, N., Schneps, M & Pomplun, M. Working Memory Load Predicts Visual Search Efficiency: Evidence from a Novel Pupillary Response Paradigm. (under review) Proceedings Attar, N., Wu, C. & Pomplun, M.: The Effect of Immediate Accuracy Feedback in a Multiple-Target Visual · Search Task. In Proceedings of the 36th annual meeting of the cognitive science society, 1868-1873, Quebec, Canada, 2014. Attar N. & Pomplun, M.: From Eye Tracking Data to Interface Design and Comprehension in Reading · Applications. IEEE 2nd International Conference on Human Computer Interactions (ICHCI’16), India, 2016. Attar N., Wu, C., Sia, D. & Pomplun, M.: A Deeper Understanding of Optimal Viewing Position Using Eye · Fixations and Character Recognition on Text-Viewing and Read-ing Tasks. ACM ETRA: 2016 Symposium on Eye Tracking Research & Applications, Charleston, SC, USA, 2016. Attar, N., Fomenky, P., Ding, W. & Pomplun, M.: Improving Cognitive Load Level Detection through Pre· processing Psychological Data by Random Subspace Method. IEEE 2nd International Conference on Human Computer Interactions (ICHCI’16), India, 2016. Abstract Presentations Attar, N., Fomenky, P., Ding, W. & Pomplun, M.: Modeling an Unsupervised Time-Series Learning · Method for Visual Search Leveraging Preprocessed Cognitive load Pupil Data. The 45th annual meeting of the Society for Computers in Psychology (SCiP), Chicago, USA, 2015. · Wu, C., Attar, N., Pomplun, M.: Involuntary semantic bias during search for words and word pairs. The Meeting of Visual Sciences Society, St. Pete Beach, Florida, USA, 2015. Attar, N., Wu, C. & Pomplun, M.: Immediate Feedback During Multiple-Target Visual Search Improves · Accuracy. The Meeting of the Visual Sciences Society, Florida, USA, 2014. Attar, N., Schneps, M. & Pomplun, M.: Pupil Size as Measure of Working Memory Load During Visual · Search. The Meeting of the Visual Sciences Society, Naples, Florida, USA, 2013. · Attar, N., Schneps, M. & Pomplun, M.:Working Memory Load Increase Predicts Visual Search Efficiency. The Meeting of the Visual Sciences Society, Naples, Florida, USA, 2012. Invited Talks Guest Speaker at CS 188SL-01 Science Gateway Seminar - UMass Boston, “Cognitive Load · measurements in Human Computer Interaction”. Feb 9th, 2016. UMass Boston Ph.D. Symposium Colloquium Talk, “Modeling an Unsupervised Time-Series Learning · Method for Visual Search Leveraging Preprocessed Working Memory Pupil Data”. May 28th, 2015.
· ·
UMass Boston Ph.D. Symposium Colloquium Talk, “The Effect of Immediate Accuracy Feedback in a Multiple-Target Visual Search Task”. May 14th, 2014. UMass Boston Ph.D. Symposium Colloquium Talk, “Working Memory Load Increase Predicts Visual Search Efficiency”. May 3rd, 2013.
UNIVERSITY OF MASSACHUSETTS - BOSTON Boston, MA Doctor of Philosophy, Visual Attention Laboratory, Computer Science – Computer Science Department Thesis title: Enhancing Cognitive Load Measurement and User Performance in Human Computer Interac· tion Research in cognitive and perceptual processing, human eye movement · Modeling different methods of cognitive task using machine learning methods to enhance pupil-based · memory load estimation Project work involving computational modeling, data mining, machine learning, data analysis, statistics, · and computer vision
2007 – 2009
TUFTS UNIVERSITY Master’s in Computer Science, Graduate School of Engineering Master’s project on human user interfaces and user experience · Coursework in Algorithms, Object-Oriented Programming, Theory of Computation, etc ·
2001 – 2005
KING ABDUL AZIZ UNIVERSITY Jeddah, Saudi Arabia Bachelor’s in Computer Science, Magna Cum Laude Senior project won 1st place: LAN-based scheduling system connecting university faculty computers · 1st place award in web design competition using HTML, CSS, JavaScript, Apache, mySQL, & PHP for · database-driven site to connect the homeless to benefactors
Medford, MA
PROFESSIONAL EXPERIENCE 2010 – 2013
HARVARD UNIVERSITY Cambridge, MA Fellow, Harvard College Observatory, Faculty of Arts and Sciences, Laboratory of Visual Learning, Harvard-Smithsonian Center for Astrophysics Developing a handheld interface to improve learning for Dyslexia and other learning disabilities · Implementing an iPad reader app that uses adjustable settings to improve readability for Dyslexics ·
Summer 2014
IBM RESEARCH THOMAS J. WATSON RESEARCH CENTER Yorktown Heights, NY Research Intern, Customer Experience Lab Developed app that collects data and provides visualizations on client interactions to inform which IBM · products to focus on during on-site visits, and improve customer experience and engagement App presented to Ginni Rommetty, Chairman, President, & CEO of IBM · THINKlab Developed "help" functionality for researcher interaction portal used in IBM Watson THINKLab using · jQuery, and HTML
TECHNICAL SKILLS, HOBBIES, LANGUAGES Technical Skills: C, C++, Objective C, Java, Python, MATLAB, Cocoa, etc · Applications: iOS app, Android app, Google app engine · Hobbies: Equestrianism, home décor, cooking · Languages: English, Arabic · TEACHING SKILLS Spring 2016 2015 – Present
2010 – 2015
UNIVERSITY OF MASSACHUSETTS - BOSTON Lecturer, Computer Science Department . CS210: Intermediate Computing with Data Structures. Description: taught data structures and Algorithms using Java. Instructor and Tutor, Navitas at UMass Boston · Pre-Master’s Program Seminar Tutorial. Description: help students with algorithms, databases, and introduction to Java and Python
Boston, MA
Project Co-supervisor, Visual Attention Laboratory, Computer Science Department Coached students on using an eye-tracker equipment, programming in MATLAB and Objective C ·
Spring & Fall 2008 TUFTS UNIVERSITY Spring 2009 Teaching Assistant (part time), Computer Science Department COMP 11: Introduction to Computer Science. · Description: assisted students with C++ programming lab assignments and projects.
Medford, MA
PROFESSIONAL ACTIVITIES · Founder and President. Computer Science Graduate Students Association (CSGSA), University of Massachusetts Boston, 2015 – present. · Judge (poster session). Second annual intercollegiate Scientista Symposium, Microsoft Office, NY, USA, 2015. Session Chair and Student Volunteer. IEEE 82nd Vehicular Technology Conference: VTC2015, Boston, · USA, 2015. Referee. FIRST LEGO League (FLL) - for Robot Game and Project, Jeddah, Saudi Arabia, 2009 - 2010. · Member of Women in Science at Umass Boston. · CONFERENCE REVIEWER · Cognitive Science Society 2016. RESEARCH AND PUBLICATIONS Journal Articles · Attar, N., Schneps, M & Pomplun, M. Working Memory Load Predicts Visual Search Efficiency: Evidence from a Novel Pupillary Response Paradigm. (under review) Proceedings Attar, N., Wu, C. & Pomplun, M.: The Effect of Immediate Accuracy Feedback in a Multiple-Target Visual · Search Task. In Proceedings of the 36th annual meeting of the cognitive science society, 1868-1873, Quebec, Canada, 2014. Attar N. & Pomplun, M.: From Eye Tracking Data to Interface Design and Comprehension in Reading · Applications. IEEE 2nd International Conference on Human Computer Interactions (ICHCI’16), India, 2016. Attar N., Wu, C., Sia, D. & Pomplun, M.: A Deeper Understanding of Optimal Viewing Position Using Eye · Fixations and Character Recognition on Text-Viewing and Read-ing Tasks. ACM ETRA: 2016 Symposium on Eye Tracking Research & Applications, Charleston, SC, USA, 2016. Attar, N., Fomenky, P., Ding, W. & Pomplun, M.: Improving Cognitive Load Level Detection through Pre· processing Psychological Data by Random Subspace Method. IEEE 2nd International Conference on Human Computer Interactions (ICHCI’16), India, 2016. Abstract Presentations Attar, N., Fomenky, P., Ding, W. & Pomplun, M.: Modeling an Unsupervised Time-Series Learning · Method for Visual Search Leveraging Preprocessed Cognitive load Pupil Data. The 45th annual meeting of the Society for Computers in Psychology (SCiP), Chicago, USA, 2015. · Wu, C., Attar, N., Pomplun, M.: Involuntary semantic bias during search for words and word pairs. The Meeting of Visual Sciences Society, St. Pete Beach, Florida, USA, 2015. Attar, N., Wu, C. & Pomplun, M.: Immediate Feedback During Multiple-Target Visual Search Improves · Accuracy. The Meeting of the Visual Sciences Society, Florida, USA, 2014. Attar, N., Schneps, M. & Pomplun, M.: Pupil Size as Measure of Working Memory Load During Visual · Search. The Meeting of the Visual Sciences Society, Naples, Florida, USA, 2013. · Attar, N., Schneps, M. & Pomplun, M.:Working Memory Load Increase Predicts Visual Search Efficiency. The Meeting of the Visual Sciences Society, Naples, Florida, USA, 2012. Invited Talks Guest Speaker at CS 188SL-01 Science Gateway Seminar - UMass Boston, “Cognitive Load · measurements in Human Computer Interaction”. Feb 9th, 2016. UMass Boston Ph.D. Symposium Colloquium Talk, “Modeling an Unsupervised Time-Series Learning · Method for Visual Search Leveraging Preprocessed Working Memory Pupil Data”. May 28th, 2015.
· ·
UMass Boston Ph.D. Symposium Colloquium Talk, “The Effect of Immediate Accuracy Feedback in a Multiple-Target Visual Search Task”. May 14th, 2014. UMass Boston Ph.D. Symposium Colloquium Talk, “Working Memory Load Increase Predicts Visual Search Efficiency”. May 3rd, 2013.
