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Events for November 15, 2022
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PhD Thesis Proposal - Ali Alotaibi
Tue, Nov 15, 2022 @ 08:00 AM - 10:00 PM
Thomas Lord Department of Computer Science
University Calendar
PhD Candidate: Ali Alotaibi
Title: Automated Repair of Layout Accessibility Issues in Mobile Applications
Time: Tuesday, November 15, 8:00 AM-10:00 AM PST
Committee: William GJ Halfond (chair), Murali Annavaram, Nenad Medvidovic, Mukund Raghothaman, and Chao Wang.
Abstract:
An increasing number of people are now dependent on mobile devices to access data and complete essential tasks. For people with disabilities, mobile apps that violate accessibility guidelines can prevent them from carrying out these activities. Layout accessibility issues are among the top accessibility issues in mobile applications. These issues impact the accessibility of mobile apps and make them difficult to use, especially for older people and people with disabilities. Unfortunately, existing techniques are limited in helping developers debug these issues. These techniques are only capable of detecting the issues. Therefore, the repair of layout accessibility issues remains a manual process.
Automated repair of layout accessibility issues is complicated by several challenges. First, a repair must account for multiple issues holistically in order to preserve the relative consistency of the original app design. Second, due to the complex relationship between UI components, there is no clear way of identifying the set of elements and properties that needs to be modified for a given issue. Third, assuming the relevant views and properties can be identified, the number of possible changes that need to be considered grows exponentially as more elements and properties need to be considered. Finally,
a change in one element can create cascading changes that lead to further problems in other areas of the UI. Together, these challenges make a seemingly simple repair difficult to achieve. In this thesis proposal, I propose an automated framework for repairing layout accessibility issues in mobile applications.
Zoom Link: https://usc.zoom.us/j/98863735277?pwd=MTVITkNqY2dQdmhKWWRkRElWeVppUT09
WebCast Link: https://usc.zoom.us/j/98863735277?pwd=MTVITkNqY2dQdmhKWWRkRElWeVppUT09
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
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Healthcare Labor ManagementTue, Nov 15, 2022 @ 11:00 AM - 12:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: TBD, TBD
Talk Title: Healthcare Labor Management
Abstract: The USC Viterbi School of Engineering's Healthcare Labor Management course offered in partnership with the Institute of Industrial and Systems Engineers (IISE) will provide an understanding and overview of critical aspects of designing and executing a comprehensive labor management program.
Host: Executive Education
More Info: https://viterbiexeced.usc.edu/healthcare-labor-management-course-page/
Audiences: Registered Attendees
Contact: Corporate and Professional Programs
Event Link: https://viterbiexeced.usc.edu/healthcare-labor-management-course-page/
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PhD Defense - Aaron Chan
Tue, Nov 15, 2022 @ 03:00 PM - 05:00 PM
Thomas Lord Department of Computer Science
University Calendar
PhD Candidate: Aaron Chan
Title: Generating and Utilizing Machine Explanations for Trustworthy NLP
Time: Tuesday, November 15, 3:00PM-5:00PM PST
Committee: Xiang Ren (chair), Robin Jia, Jesse Thomason, Bistra Dilkina, Morteza Dehghani
Abstract:
Neural language models (LMs) have yielded remarkable success on a wide range of natural language processing (NLP) tasks. However, LMs sometimes exhibit undesirable behavior, which can be difficult to resolve due to LMs' opaque reasoning processes. This lack of transparency poses serious concerns about LMs' trustworthiness in high-stakes decision-making, thus motivating the use of machine explanations to automatically interpret how LMs make their predictions. In my thesis, I argue that building human trust in NLP systems requires being able to: (A) generate machine explanations for LM behavior faithfully and plausibly and (B) utilize machine explanations to improve LM generalization and decision-making. First, to address (A), I propose UNIREX, a unified learning framework for jointly optimizing machine explanations with respect to both faithfulness and plausibility, without compromising the LM's task performance. Second, for (B), I introduce ER-Test, a framework for evaluating the out-of-distribution generalization ability of LMs that are regularized via strongly-supervised machine explanations. Third, to further support (B), I present SalKG, an algorithm for improving LM generalization by regularizing LMs via weakly-supervised machine explanations. Finally, I discuss several future directions for achieving (A) and (B).
Zoom Link: https://usc.zoom.us/j/95606515253?pwd=QzBvaVVpcWtYSFhVYzVoUi9tdHBRdz09
WebCast Link: : https://usc.zoom.us/j/95606515253?pwd=QzBvaVVpcWtYSFhVYzVoUi9tdHBRdz09
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
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Photonics seminar speaker - Jeffrey Moses, Tuesday, November 15th at 3pm in MCB 102
Tue, Nov 15, 2022 @ 03:00 PM - 04:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Jeffrey Moses, Cornell University
Talk Title: Tackling longstanding challenges in ultrafast nonlinear optics via foreign but familiar physics
Series: Photonics Seminar Series
Abstract: Silicon-Optical nonlinearities have expanded the optics and photonics toolset for applications as diverse as high intensity laser science, quantum information processing, and the imaging and spectroscopy of biological systems. Key to many applications is use of the nonlinear polarizability of materials to couple photons between optical fields, giving rise to amplification and frequency conversion methods that expand the reach of lasers and other photon sources, both classical and non-classical. Other applications use light 'self-effects' to guide, switch, and modulate. However, optical nonlinearities are often small, and even when large enough, the spatiotemporal and spectral inhomogeneities in nonlinear optical systems can severely hamper the efficiency and bandwidth of power flow between waves.
Our group has been seeking ways to 'trick' nonlinear systems into modes of evolution that can avoid the normal limiting behaviors or to make use of unconventional nonlinear interactions. I'll discuss a few of these that possess familiar physics that are somewhat foreign to optical light pulses, such as rapid adiabatic passage in optical frequency conversion, oscillation damping in parametric (i.e., lossless) wave mixing, and nonlinear optical interactions involving coherent phonon coupling. And I will present some technologies that they can enable, including efficient parametric amplifiers, dispersion-free octave-spanning frequency up- and down-converters, strong cross-phase modulation, and the removal of spectral distinguishability.
Biography: Jeff Moses joined the faculty at Cornell University in 2014, where he leads the Ultrafast Phenomena and Technologies Group in the School of Applied and Engineering Physics. He received his B.S. from Yale and Ph.D. from Cornell, with both degrees in applied physics, and spent several years at the Optics & Quantum Electronics Group in the Research Laboratory of Electronics at MIT as a postdoctoral associate and research scientist. He has received the US National Science Foundation CAREER award and was an Air Force Office of Scientific Research Young Investigator.
Host: Mercedeh Khajavikhan, Michelle Povinelli, Constantine Sideris; Hossein Hashemi; Wade Hsu; Mengjie Yu; Wei Wu; Tony Levi; Alan E. Willner; Andrea Martin Armani
More Information: Jeffery Moses Flyer.pdf
Location: Michelson Center for Convergent Bioscience (MCB) - 102
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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Epstein Institute - ISE 651 Seminar
Tue, Nov 15, 2022 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Robert Hildebrand, Assistant Professor, Grado Dept. of Industrial & Systems Engineering, Virginia Tech
Talk Title: Redistricting, Gerrymandering, and Mixed Integer Nonlinear Programming
Host: Prof. Suvrajeet Sen
More Information: November 15, 2022.pdf
Location: Ethel Percy Andrus Gerontology Center (GER) - GER 206
Audiences: Everyone Is Invited
Contact: Grace Owh
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MFD Seminar With Professor Lily Cheung
Tue, Nov 15, 2022 @ 04:00 PM - 05:20 PM
Mork Family Department of Chemical Engineering and Materials Science
Conferences, Lectures, & Seminars
Speaker: Professor Lily Cheung, Assistant Professor, School of Chemical and Biomolecular Engineering, Georgia Institute of Technology
Talk Title: MFD Seminar With Professor Lily Cheung
Biography: Research Interests:
-Engineering of genetically encoded biosensors
-Quantitative fluorescence microscopy and image analysis
-Computational models of gene regulatory networks
-Transcriptional regulation and developmental biology of plants
The goal of the Cheung lab is to bring quantitative techniques and mathematical modeling to plants in order to gain systems-level insight into their physiology and development, particularly to understand how metabolic and gene regulatory networks interact to control homeostasis and growth.
Host: Professor Finley, Mork Family Department of Chemical Engineering and Materials Science
Location: James H. Zumberge Hall Of Science (ZHS) - 352
Audiences: Everyone Is Invited
Contact: Anthony Tritto
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Boeing Information Session - Production and Industrial Engineering Careers (Viterbi, On-Campus)
Tue, Nov 15, 2022 @ 06:00 PM - 07:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Production and Industrial Engineering Careers
Date: Tuesday, November 15
Time: 6:00 p.m. - 7:00 p.m.
Location: Ronald Tutor Hall (RTH) 211
Register on Viterbi Career Gateway
An inclusive workplace built around ideas, respect and innovation â” that is what you will find here. Join us and help build the future.
Attend this event to learn about production and industrial engineering careers at the world's largest aerospace manufacturer.
All majors and class levels are welcome to attend. Boeing is hiring for internships and full-time positions.
Boeing attendees will include:
Kevin Stigerts: Chief Engineer, BCA Equipment & Tool Engineering
Everly Manzana: Industrial Engineer, BCA Supplier Management Operations
Mike Beazer: Sr. Manager, Production & Industrial engineering
Mark Webb: Director, Production Profitability
What majors and class levels are you interested in connecting with? All
Can you offer Visa sponsorship? Are you able to hire a student on CPT or OPT? NoLocation: 211
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
