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Events for June 15, 2018
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Meet USC: Admission Presentation, Campus Tour, and Engineering TalkFri, Jun 15, 2018
Viterbi School of Engineering Undergraduate Admission
Workshops & Infosessions
This half day program is designed for prospective first-year students (High School juniors and younger) and family members. Meet USC includes an information session on the University and the Admission process, a student led walking tour of campus, and a meeting with us in the Viterbi School. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering school. Meet USC is designed to answer all of your questions about USC, the application process, and financial aid.
Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m.
Please make sure to check availability and register online for the session you wish to attend. Reservations are required for the Meet USC program.
Also, remember to list an Engineering major as your "intended major" on the webform!
>> Register for a Meet USC SessionLocation: Ronald Tutor Campus Center (TCC) - USC Admission Center
Audiences: Prospective Undergrads and Families
Contact: Viterbi Admission
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PhD Defense - Jiaping Gui
Fri, Jun 15, 2018 @ 09:00 AM - 11:30 AM
Thomas Lord Department of Computer Science
University Calendar
Title: Utilizing User Feedback to Assist Software Developers to Better Use Mobile Ads in Apps
PhD Candidate: Jiaping Gui
June 15th
9am - 11:30am
SAL 322
Committee:
William G.J. Halfond (Chair)
Nenad Medvidovic
Chao Wang
Jyotirmoy Deshmukh
Paul Bogdan (EE department, outside member)
Meiyappan Nagappan (U of Waterloo, outside member)
Abstract:
In the mobile app ecosystem, developers receive ad revenue by placing ads in their apps and releasing them for free. While there is evidence that users do not like ads, we do not know what are the aspects of ads that users dislike nor if they dislike certain aspects of ads more than the others. Therefore, in the first piece of my dissertation work, I analyzed the different ad related topics of ad reviews from users. In order to do this, I investigated app reviews that users gave for apps in the app store that were about ads. I found that most ad complaints were about UI related topics and three topics discussed predominantly were: the frequency with which ads were displayed, the timing of when ads were displayed, and the location of the displayed ads. I also found users reviewed non UI aspects of mobile advertising, such as ads blocking or slowing down the host app's running. Then I quantified different ad metrics corresponding to both UI and non UI ad aspects that were complained about most by end users. In the end, I correlated these quantified ad aspects with app ratings. For non UI ad aspects, I found that complaints about these aspects were significant and could impact the ratings (on a scale of one to five stars) given to an app. For UI ad aspects, I found that lower ratings (with statistical significance) were generally associated with apps that had different visual patterns regarding ad implementation, such as ads in the middle or bottom of the page, and ads in the initial landing page of an app, Based on the results, a set of guidelines were distilled to help app developers more effectively use ads in their apps.
Location: Henry Salvatori Computer Science Center (SAL) - 322
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
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AI Seminar: Scalable Task and Motion Planning for Multi Robot Systems in Obstacle Rich Environments
Fri, Jun 15, 2018 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Wolfgang Hönig, USC
Talk Title: Scalable Task and Motion Planning for Multi Robot Systems in Obstacle Rich Environments
Series: Artificial Intelligence Seminar
Abstract: Motion planning problems have been studied in both the artificial intelligence AI and robotics communities. AI solvers can compute plans for hundreds of simple agents in minutes with suboptimality guarantees, while robotics solutions typically include richer kinodynamic models during planning, but are very slow when many robots and obstacles are taken into account.
We combine the advantages of the two methods by using a two-step approach. First, we use and extend AI solvers for a simplified coordination problem. The output is a discrete plan that cannot be executed on real robots. Second, we apply a computationally efficient post-processing step that creates a continuous plan, taking kinodynamic constraints into account. We show examples for ground robots in a warehouse domain and quadrotors that are tasked with formation change.
Biography: Wolfgang Honig is a Ph.D. student in the ACT Lab at the University of Southern California. He holds a Diploma in Computer Science from the Technical University Dresden, Germany and an M.S. in Computer Science Intelligent Robotics from USC. His research focuses on enabling large teams of physical robots to collaboratively solve real-world tasks by combining methods from artificial intelligence and robotics
Host: Satish Kumar Thittamaranahalli
Location: Information Science Institute (ISI) - 6th Floor Conf Rm-CR# 689
Audiences: Everyone Is Invited
Contact: Peter Zamar
