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Events for November 16, 2021
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New & Continuing MS Student Group Advising Session (CSCI/DSCI)Tue, Nov 16, 2021 @ 10:00 AM - 11:00 AM
Thomas Lord Department of Computer Science
Workshops & Infosessions
If you are a New or Continuing MS student in the Computer Science Department or Data Science Program and have any questions or need assistance, please join us for today's optional group advising session via zoom. Access instructions will be sent to students directly. Note: D-clearance is not granted during advisement sessions. All requests for d-clearance must go through the myViterbi portal.
Location: Zoom
Audiences: Graduate
Contact: USC Computer Sciecne
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CAIS Seminar: Erika Van Buren (First Place for Youth) - Leveraging Data Science to Individualize Extended Foster Care Services: the Youth Success Roadmap Tool
Tue, Nov 16, 2021 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Erika Van Buren, First Place for Youth
Talk Title: Leveraging Data Science to Individualize Extended Foster Care Services: the Youth Success Roadmap Tool
Series: USC Center for Artificial Intelligence in Society (CAIS) Seminar Series
Abstract: In service to a deep commitment to learning and impact, First Place for Youth -“ a service and advocacy organization dedicated to supporting transition age foster youth to achieve self-sufficiency and independence -“ leveraged several years of in-program administrative and follow-up data on youth served to conduct a precision analytics modeling process, and to develop The Youth Success Roadmap Tool (YRT). The YRT is a practitioner-centric, web-based decision-support tool that is used by direct service providers and managers to support high precision programming in the development of action plans, selection of interventions, and decisions about transition needs and timelines with individual youth, with the ultimate goal of helping all young people leave program with life sustaining, living wage employment. This seminar will discuss the findings from the original modeling, the methods utilized to generate the modeling and tool, showcase and describe how the YRT is currently being utilized to increase application of effective, individualized services and the achievement of equitable results with youth.
Register in advance for this webinar at:
https://usc.zoom.us/webinar/register/WN_sDAlPRaaSBCWQvZct9ZuyQ
After registering, attendees will receive a confirmation email containing information about joining the webinar.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Dr. Erika Van Buren serves as the Chief Innovation Officer for First Place for Youth, where she leads evaluation, learning, and national expansion strategies for scaling First Place's influence and impact in service to older foster youth across the country. She crafts and implements the internal and external evaluation agenda for the agency, works closely with program leadership to innovate and roll-out best and evidence-supported strategies to improve practice, and conducts on-going sector building and system-capacity development activities in support of First Place's mission. With over 20 years of experience, she has cultivated expertise in the areas of community mental health and child welfare program development and evaluation, quality improvement and performance management practices and was most recently named as a member of the 11th class of Annie E. Casey Foundation Leadership Fellows.
Host: USC Center for Artificial Intelligence in Society (CAIS)
Webcast: https://usc.zoom.us/webinar/register/WN_sDAlPRaaSBCWQvZct9ZuyQLocation: Online Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN_sDAlPRaaSBCWQvZct9ZuyQ
Audiences: Everyone Is Invited
Contact: Computer Science Department
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PhD Thesis Proposal - Tianye Li
Tue, Nov 16, 2021 @ 12:30 PM - 01:45 PM
Thomas Lord Department of Computer Science
University Calendar
Date and time:
Nov 16, Tuesday, 12:30pm -“ 1:45pm
Committee members:
Prof. Randall Hill (chair)
Prof. Stefan Scherer
Prof. Andrew Nealen (school of cinematic arts)
Prof. Ramesh Govindan
Prof. Stefanos Nikolaidis
Title: Reconstruction and Synthesis for Dynamic Humans and Scenes
Abstract:
An immersive VR/AR experience requires high-quality capture for the humans in expressions and motions as well as the dynamic environment. Traditional capture methods take multiple time-consuming and error-prone steps, which also require manual adjustments from professional artists. This thesis proposal proposes an effective yet time-efficient framework, ToFu, that produces topologically consistent meshes across facial identities and expressions, three orders of magnitude faster than traditional techniques. ToFu further captures displacement maps for pore-level geometric details and facilitates high-quality rendering in the form of albedo and specular reflectance maps. These high-quality assets are readily usable by production studios for avatar creation, animation, and physically-based skin rendering. We further propose Neural 3D Video Synthesis, a general method to capture humans together with the environments in dynamics.
WebCast Link: https://usc.zoom.us/j/4737050753
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
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CS Undergraduate Live Chat Drop-in Advisement
Tue, Nov 16, 2021 @ 01:30 PM - 02:30 PM
Thomas Lord Department of Computer Science
Student Activity
CS Advisors will be available on Tuesdays/Wednesdays/Thursdays this fall from 1:30pm to 2:30pm to assist undergraduates in our four majors (CSCI, CSBA, CSGA, and CECS) via Live Chat. Access the live chat through our website at https://cs.usc.edu/chat
Location: Online - Live Chat
Audiences: Undergrad
Contact: USC Computer Sciecne
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PhD Thesis Proposal - Nada Aldarrab
Tue, Nov 16, 2021 @ 03:00 PM - 05:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Decipherment of Historical Manuscripts
Committee:
Jonathan May (chair)
Aiichiro Nakano
Aram Galstyan
Shrikanth Narayanan
Greg Ver-Steeg
Abstract:
Libraries and archives are filled with enciphered documents from the early modern period. Example documents include encrypted letters, diplomatic correspondences, and books from secret societies. Decipherment of classical ciphers is an essential step to reveal the contents of those historical documents.
This thesis addresses three historical decipherment problems: 1. Automatically transcribing historical documents. 2. Deciphering noisy ciphers and ciphers with an unknown plaintext language. 3. Parsing numerical ciphers. We show how machine translation techniques can be used to help in decipherment and vice versa.
WebCast Link: https://usc.zoom.us/j/99569732690?pwd=a0FoS3dmejI2My93cHhXT0laVjhBQT09
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
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CS Colloquium: Laurel Riek (University of California, San Diego) - Robots in clinic and in the community: supporting wellbeing and health equity
Tue, Nov 16, 2021 @ 03:30 PM - 04:50 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Laurel Riek, University of California, San Diego
Talk Title: Robots in clinic and in the community: supporting wellbeing and health equity
Series: Computer Science Colloquium
Abstract: The pandemic exacerbated inequities faced by people with disabilities and healthcare workers -” both are at high risk of adverse physical and mental health outcomes. Robots alone are not going to fix these major societal problems; however, our work explores how we can design technology to lessen the burden of systemic ableism and healthcare system stress. I will discuss several of our recent projects in acute care and community health contexts. In acute care, we are building hospital-based robots to support the clinical workforce, to support item delivery, telemedicine, and decision support. In community health, we are creating interactive and adaptive systems that aim to extend the reach of cognitive neurorehabilitative therapies, provide respite to overburdened caregivers, and explore how technology might serve as a means for mediating positive interactions during hardship. We focus on building robots that can adaptively team with and longitudinally learn from people, and personalize and tailor their behavior.
Register in advance for this webinar at:
https://usc.zoom.us/webinar/register/WN_BxKfSOStS--ZoudxSavY7w
After registering, attendees will receive a confirmation email containing information about joining the webinar.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Dr. Laurel Riek is a professor in Computer Science and Engineering at the University of California, San Diego, with a joint appointments in the Department of Emergency Medicine, and affiliated with the Contextual Robotics Institute and Design Lab. Dr. Riek directs the Healthcare Robotics Lab and leads research in human-robot teaming and health informatics, with a focus on autonomous robots that work proximately with people. Riek's current research interests include long term learning, robot perception, and personalization; with applications in acute care, neurorehabilitation, and home health. Dr. Riek received a Ph.D. in Computer Science from the University of Cambridge, and B.S. in Logic and Computation from Carnegie Mellon. Riek served as a Senior Artificial Intelligence Engineer and Roboticist at The MITRE Corporation from 2000-2008, working on learning and vision systems for robots, and held the Clare Boothe Luce chair in Computer Science and Engineering at the University of Notre Dame from 2011-2016. Dr. Riek has received the NSF CAREER Award, AFOSR Young Investigator Award, Qualcomm Research Award, and was named one of ASEE's 20 Faculty Under 40. Dr. Riek is the HRI 2023 General Co-Chair and served as the Program Co-Chair for HRI 2020, and serves on the editorial boards of T-RO and THRI.
Host: Stefanos Nikolaidis
Webcast: https://usc.zoom.us/webinar/register/WN_BxKfSOStS--ZoudxSavY7wLocation: Online - Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN_BxKfSOStS--ZoudxSavY7w
Audiences: Everyone Is Invited
Contact: Computer Science Department
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Jian Pei (Simon Fraser University) - Exact, Concise, and Consistent Data Driven Interpretation
Tue, Nov 16, 2021 @ 03:30 PM - 04:30 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Jian Pei, Simon Fraser University
Talk Title: Exact, Concise, and Consistent Data Driven Interpretation
Abstract: Interpretability and explainability are at the core in our pursuit of new knowledge. At the same time, interpretation in data analytics and data mining is challenging in many ways, such as the complexity of models to be interpreted, the difficulty in knowledge elicitation, the expectation of embodying interpretation, and the need of many kinds of knowledge. In this talk, I will present our systematic research on exact, concise, and consistent data driven interpretation for database and data mining tasks. I will illustrate our principles and techniques using various application examples, including skyline queries (aka pareto optima) in databases, semantic OLAP in business intelligence, piece-wise linear neural networks in classification, and KS-tests in statistics. I will also discuss the promises and challenges of data driven interpretation for future work.
Biography: Jian Pei is a Professor in the School of Computing Science at Simon Fraser University. His research focuses on data science, big data, data mining, database systems, and information retrieval. His expertise is in developing effective and efficient data analysis techniques for novel data intensive applications, and transferring his research results to industry products and business practice. He is recognized as a Fellow of the Royal Society of Canada (Canada's national academy), the Canadian Academy of Engineering, ACM, and IEEE. Since 2000, he has published one textbook, two monographs and over 300 research papers in refereed journals and conferences, which have been cited extensively by others. He was the editor-in-chief of the IEEE Transactions of Knowledge and Data Engineering (TKDE) in 2013-16, the chair of ACM SIGKDD in 2017-2021. He received a few prestigious awards, including the 2017 ACM SIGKDD Innovation Award, the 2015 ACM SIGKDD Service Award, the 2014 IEEE ICDM Research Contributions Award, the British Columbia Innovation Council 2005 Young Innovator Award, an IBM Faculty Award, a KDD Best Application Paper Award, and an ICDE Influential Paper Award.
Host: Ellis Horowitz
Location: Ronald Tutor Hall of Engineering (RTH) - 105
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
