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Events for April 20, 2022
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PhD Defense - Fawad Ahmad
Wed, Apr 20, 2022 @ 08:00 AM - 10:00 PM
Thomas Lord Department of Computer Science
University Calendar
PhD Candidate: Fawad Ahmad
Date: April 20th, 2022
Time: 8 - 10 AM
Title: Towards Building a Live 3D Digital Twin of the World
Committee: Prof. Ramesh Govindan (chair), Prof. Konstantinos Psounis, Prof. Barath Raghavan, Prof. Muhammad Naveed
Zoom Link: https://usc.zoom.us/j/97896459075?pwd=dFJZd1N1aHUyUnlOMkFEQk56VW5zUT09
Abstract:
A live digital twin is a high-fidelity 3D representation of a physical object or scene. This digital representation continuously replicates the physical scene in near real-time. In my dissertation, I build systems that extract and leverage live digital twins of large outdoor areas. A live digital twin creates unprecedented capabilities for both computer and human consumption. It has the potential to improve safety and efficiency for autonomous driving, monitor on-going construction, and enable timely disaster relief operations etc. For humans, it means the possibility of digitally transporting to any place on the globe to live, interact and experience it in 3D like never before.
These capabilities have strict performance and accuracy requirements. Achieving these requirements is not possible today for two reasons: limited wireless bandwidths, and limited on-board compute resources. To this end, my dissertation makes two contributions as follows. First, it builds re-usable perception infrastructure to extract live 3D digital twins with low latency and high accuracy. Second, it builds end-to-end cyber-physical systems that leverage live digital twins to enable some of the capabilities mentioned above. Evaluations show that we can extract twins of large physical areas within less than one second with centimeter level accuracy. Moreover, the cyber-physical systems we build which leverage these twins enable safer and more efficient autonomous driving.WebCast Link: https://usc.zoom.us/j/97896459075?pwd=dFJZd1N1aHUyUnlOMkFEQk56VW5zUT09
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
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CS Undergraduate Web Registration Live Chat AssistanceWed, Apr 20, 2022 @ 09:00 AM - 09:30 AM
Thomas Lord Department of Computer Science
Student Activity
If you are a CS undergraduate with a web registration permit time of 9am today and are having difficulty with web registration, the advisement staff will be available from 9:00am - 9:30am to help troubleshoot your registration questions and issues. Chat with us at https://www.cs.usc.edu/chat/
Audiences: Undergrad
Contact: USC Computer Science
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Computer Science General Faculty Meeting
Wed, Apr 20, 2022 @ 12:00 PM - 02:00 PM
Thomas Lord Department of Computer Science
Receptions & Special Events
Bi-Weekly regular faculty meeting for invited full-time Computer Science faculty only. Event details emailed directly to attendees.
Location: TBD
Audiences: Invited Faculty Only
Contact: Assistant to CS chair
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BCG Coffee Chats Opportunities
Wed, Apr 20, 2022 @ 12:00 PM - 01:30 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Our purpose is to provide a variety of opportunities for students to have their questions answered, learn more about BCG and our recruiting process.
This is an opportunity to ask your initial questions about consulting and BCG. Coffee chats are conducted in small group settings typically with one BCG consultant and multiple students. In-person coffee chats will take place in a coffee shop walking distance to campus. Specific location will be shared in the final confirmation email.
*Students can only sign up for ONE chat*
Wednesday, April 20th 12pm-1:30pm: Virtual Coffee Chats- Click Here to Register: https://talent.bcg.com/Events?folderId=10047024&source=Event
Friday, April 22nd 9am-11:30pm: USC In-Person Coffee Chats- Click Here to Register: https://talent.bcg.com/Events?folderId=10047026&source=Event
External employer-hosted events and activities are not affiliated with the USC Viterbi Career Connections Office. They are posted on Viterbi Career Connections because they may be of interest to members of the Viterbi community. Inclusion of any activity does not indicate USC sponsorship or endorsement of that activity or event. It is the participant's responsibility to apply due diligence, exercise caution when participating, and report concerns to vcareers@usc.edu
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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Center of Autonomy and AI, Center for Cyber-Physical Systems and the Internet of Things, and Ming Hsieh Institute Seminar Series
Wed, Apr 20, 2022 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Bichen Wu, Meta (former Facebook) Reality Labs
Talk Title: Efficient Deep Learning for Computer Vision
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Deep neural networks are empowering increasingly more applications in computer vision. To deploy deep learning to more devices (edge, mobile, AR/VR glasses), we need to tackle numerous challenges to make deep learning more efficient. In this talk, we will focus on two important aspects of efficiency: model efficiency and data efficiency. Improving model efficiency enables packing stronger AI capabilities to devices with limited compute, while better data efficiency unblocks more applications constrained by lack of data. This talk will first introduce the FBNet series of work [1-4], which studies neural architecture search (NAS) methods to automatically develop compute-efficient models to achieve better accuracy-efficiency trade-offs. For data efficiency, this talk will introduce OTTER [5], a data-efficient algorithm that uses language to train vision models to recognize images in a zero-shot manner -- being able to recognize new classes without needing extra labels.
Papers related to this talk:
[1] FBNetV1: Wu, Bichen, et al. "Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019.
[2] FBNetV2: Wan, Alvin, et al. "Fbnetv2: Differentiable neural architecture search for spatial and channel dimensions." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020.
[3] FBNetV3: Dai, Xiaoliang, et al. "FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function." arXiv preprint arXiv:2006.02049 (2020).
[4] FBNetV5: Wu, Bichen, et al. "FBNetV5: Neural Architecture Search for Multiple Tasks in One Run."
[5] OTTER: Wu, Bichen, et al. "Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation."
Biography: Dr. Bichen Wu is a research scientist at Meta (former Facebook) Reality Labs. His research is focused on efficient deep learning algorithms, models, and systems, aiming to bring AI capabilities to massive edge devices and applications. His paper on Neural Architecture Search -- FBNet, is among the top 0.01% highest cited computer science papers published in 2019. He obtained his Ph.D. from Berkeley AI Research, UC Berkeley and his Bachelor of Engineering from Tsinghua University in 2013.
Host: Pierluigi Nuzzo, nuzzo@usc.edu
Webcast: https://usc.zoom.us/webinar/register/WN_zyIBh_1gQLmKpMJG0GyLxwLocation: Online
WebCast Link: https://usc.zoom.us/webinar/register/WN_zyIBh_1gQLmKpMJG0GyLxw
Audiences: Everyone Is Invited
Contact: Talyia White
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Microsoft Devices: Summer 2023 Internships (On-Campus, With Pizza!))
Wed, Apr 20, 2022 @ 05:00 PM - 06:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
This event will be hosted on-campus AND broadcast on Zoom. RSVP in Viterbi Career Gateway to attend in-person OR RSVP on Zoom to attend virtually.
Looking to get a head start on your search for a Summer 2023 internship? Microsoft Devices is excited to host a Trojan Talk where you can come and hear from current Microsoft Devices employees! This is your chance to get ahead of the game for Summer 2023: Learn about the opportunities available within the Microsoft Devices organization and about Microsoft's internship recruitment process so that you can know what to expect once applications open this Summer.
1.April 20th, 5-6 pm
2.Register on Viterbi Career Gateway
Note: We intend for this to be strictly an informational session on what Microsoft Devices has to offer and what students can expect once applications for Summer 2023 open when the cycle begins in the Summer and Fall.
- Targeted Majors: Industrial Systems Engineering, Electrical Engineering, Computer Engineering, CSBA, Mechanical Engineering
-Degree Levels: Targeting anyone who will be eligible for a Summer 2023 internship, such as current Undergrad Freshman and Sophomores or Grad students who will return for at least 1 semester in Fall 2023.
-Recruiting for: Summer 2023 Internships
-Can you offer Visa sponsorship/Are you able to hire a student on CPT or OPT?: Not at this time. However, Internships are offered worldwide.Location: Ronald Tutor Hall of Engineering (RTH) - RTH 211
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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ACM - Maximizing Your Summer Panel
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Wed, Apr 20, 2022 @ 05:30 PM - 06:45 PM
Viterbi School of Engineering Student Organizations
Workshops & Infosessions
Summer is here! Well, almost. Have you decided on a good way to spend it?
Whether you already have plans lined up (like an exciting internship!) or are still figuring it out, ACM can help! Come to our Maximizing Your Summer Panel to hear speakers from CrowdStrike and Tinder about opportunities to look for, tips and tricks on your internship search, what to expect during your experience, or some alternative paths to go down besides internships.
This is a special opportunity to gain some insight from people in the CS industry who can share their wisdom from their own experiences. There will also be plenty of time for you to ask questions, too!
[Time and Date]: Wednesday, April 20, 5:30-6:45pm
[Location]: TBA
[RSVP Link]: bit.ly/maximize-summer-acm
Location: TBA
Audiences: Everyone Is Invited
Contact: Association for Computing Machinery
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