Intelligent Mobile Systems for Social Good

Abstract:  Smartphones and wearables have become omnipresent in our day-to-day life, with a rapidly growing list of embedded sensors. This ubiquitous presence along with the recent AI advances make mobile devices an attractive tool for learning more about the individuals carrying them and their environment. My research focuses on developing machine-learning/artificial intelligence algorithms that open up new sensing capabilities for mobile devices and using them to build intelligent systems. In this talk, I will discuss some of my projects that aim to improve our quality of life. Specifically, I will demonstrate how we can build a ubiquitous accessibility digital map; where the indoor/outdoor spaces are automatically updated with the various accessibility features and marked with assessment of their accessibility levels for the different disability types; such as vision-impairment, wheel-chaired, etc. I will also discuss how we can estimate the value of a person’s spatio-temporal data, in the context of strong privacy, where the location data is only available from end users via purchase. Knowledge of this value is important to the widely emerging location-based services, that depend on the user’s passive spatio-temporal data, such as digital-map updates, road networks, traffic state estimation, and geo-targeted advertising. Finally, I will conclude the talk by outlining future research directions built upon my current work.

Biography:  Heba Aly is a Ph.D. candidate in Computer Science at the University of Maryland, College Park. Her research interests are in the broad area of intelligent systems, spatial systems, mobile computing and mobile/wireless sensing. In particular, she is interested in leveraging AI-based algorithms with the ubiquitous sensor-rich mobile devices (e.g. smartphones & smartwatches) to build intelligent systems that can help improve people's well-being. This includes a wide range of application domains e.g. digital maps construction, ubiquitous indoor/outdoor localization, health-care, wearables, and geo-target advertising, among others.

Heba’s work has been recognized by a number of awards including the best paper award in ACM SIGSPATIAL’13, the COMESA innovation awards 2014/2015, the best poster award from N2Women in ACM MobiCom’16, and the best paper award runner-up in ACM SIGSPATIAL’18, among others. Additionally, she was awarded multiple fellowships and grants including the University of Maryland Graduate School Dean's fellowship in 2016 and 2015 and Google's Women Techmakers scholarship in 2017. For her early achievements, Heba was selected as one of the rising stars in networking and communications by N2Women in 2017.



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Media Contact: Wang-Chien Lee



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