Virtual Undergrad Town Hall: Inferring User Context from Smartphone Data

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September 28, 2017

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Virtual Undergraduate Town Hall

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Overview

During the Virtual Undergraduate Town Hall Event, you will join students from around the world in a virtual mentoring event where you will learn about cutting edge research in the field of computing. You will have the opportunity to ask distinguished computer scientists any questions you might have.

Research Presentation: Inferring User Context from Smartphone Data

Smartphones generate significant information about their users. User context, including location, activities, and preferences, can be inferred through smartphone data. In this talk, Preeti Bhargava will give an overview of common techniques and approaches used for modeling user insights from their smartphone data. Preeti will focus on techniques and challenges of indoor localization and applications in activity recognition.

Mentoring Topic: Graduate School Application and Admission Process

In this discussion, Preeti will describe the preparation needed for going from being a Computer Science undergraduate to a Ph.D. program. She will go into detail on what graduate school is like for Computer Science students including key milestones and how to achieve them.

Post-Discussion Chat: Join Preeti Bhargava & Lori Pollock for a chat to continue the discussion about graduate school applications and admissions, meet fellow students, and share your experiences.

Join us September 28th at 7:00pm ET

Register Today
 

Speakers

Speaker: Preeti Bhargava, Senior Research Engineer, Lithium Technologies

Preeti Bhargava finished her PhD in Computer Science from University of Maryland, College Park in December 2015 where she was advised by Prof. Ashok Agrawala. Her research interests include pervasive and ubiquitous computing, context-aware computing and systems, mobile systems and applications, user modeling, personalization, recommender systems, and Internet of Things. She has published several papers at premier conferences such as WWW, IUI, Mobiquitous and UbiComp.
During her doctoral studies, she interned twice at Samsung Research America where she worked in recommender systems and IoT. Preeti was also a visiting researcher and intern at Xerox Palo Alto Research Center (PARC) where she worked in user interest modeling and personalization. Preeti is the proud recipient of the UMD Ann G Wylie Dissertation Fellowship, the UMD Dean’s Fellowship, the Palantir Scholarship for Women in Technology and several conference travel grants.
Prior to this, Preeti was a Senior Member Technical Staff at Oracle, in the development team for Oracle Web Services Manager. Preeti obtained my Bachelors of Engineering degree in Information Technology from Delhi College of Engineering, Delhi, India in 2007.


Host: Lori Pollock, Professor at the University of Delaware

Participants

All are welcome to participate. Register here.

Logistics

Please join us 15 minutes before the presentation begins, in order to not miss any valuable information. The entire webinar event will last 1 hour. After the webinar we will host an interactive chat among attendees and the speaker, for 30 minutes. The event is broken into five sections:

Preeti Bhargava presents on “Inferring User Context from Smartphone Data”
Open Q&A
Preeti Bhargava discusses “Graduate School Application and Admission Process”
Open Q&A
Interactive chat forum with Preeti Bhargava and attendees

Resources

Are you part of an ACM-W chapter or Women in CS/CSE group? Check out our flyer on how to participate in this webinar event as a group!

Undergraduate Town Hall Flyer

Virtual Undergraduate Town Hall: Speeding up Deep Reinforcement Learning via... Missouri, Iowa, Nebraska, Kansas Women in Computing Conference 2017