Ph.D. Proposal Oral Exam - Uma Parthavi Moravapalle

Event Details

Friday, April 13, 2018

2:00pm - 4:00pm

Room 2448, Klaus

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Event Details

Title:  Mobile Computing Algorithms and Systems for User Aware Optimization of Enterprise Applications


Dr. Sivakumar, Advisor

Dr. Fekri, Chair

Dr. Ramachandran


The objective of the proposed research is to (i) explore the barriers that hinder the productivity of enterprise employees while they perform their job functions on their smartphones and (ii) propose algorithms and systems to optimize these applications for the user. Among the several strategies used by enterprises to boost employee productivity, mobilization, or the ability of an employee to rely on their mobile devices to continue to perform business functions even when away from a Desktop, is seen as a game changer. In spite of the promise shown by mobilization, much of its benefits are yet to be realized. While an average global 2000 enterprise uses 400+ software applications for its business processes, very few of these applications have been successfully deployed for smartphones. Even when the applications are mobilized, users face several barriers in their usage. In this work, we focus on three specific aspects of mobilization: (1) Content sharing: An enterprise employee spends an inordinate amount of time on Email responding to queries and sharing information with co-workers. In this context, we consider automated information suggestions to ease the burden of reply construction on smartphones; (2) Collaboration: Even though many business processes within enterprises require employees to work together in a team and collaborate with each other, very few enterprise mobile apps allow two employees to simultaneously work on an object from two separate devices. In this context, we present Peek, a mobile-to-mobile remote computing protocol for collaboration that allows the users to interact with an application remotely in a responsive manner; (3) Workflow Mobilization: For an employee to successfully perform workflows on her smartphone, not only does a mobile app need to be available, but also her specific workflow has to make the cut through the defeaturization process necessary for mobilization. In this context, we propose a do-it-yourself (DIY) framework wherein users, irrespective of their skills, can mobilize the workflows themselves.

Last revised April 4, 2018