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Events for October 21, 2024
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PhD Dissertation Defense - Han Zhang
Mon, Oct 21, 2024 @ 09:30 AM - 11:30 AM
Thomas Lord Department of Computer Science
University Calendar
Title: Speeding up Multi-Objective Search Algorithms
Date: Oct 21, 2024
Location: SAL- Henry Salvatori Computer Science Center 213
Time: 9:30 AM - 11:30 PM
Committee members: Satish Kumar, Sven Koenig, Bistra Dilkina, Satyandra Kumar Gupta, Ariel Felner
Abstract: The multi-objective search problem is the problem of finding paths from a start state to a goal state in a graph where each edge is annotated with multiple costs. A typical task of multi-objective search is to find the Pareto frontier, that is, the set of all undominated paths from the start state to the goal state. This problem is important for many applications, such as transporting hazardous materials, where travel distance and risk are two costs that need to be considered. While researchers have developed various techniques over the past years for speeding up single-objective searches on large graphs, many of them have not been investigated in the context of multi-objective search. In this thesis, I hypothesize that one can speed up multi-objective search algorithms by applying insights gained from single-objective search algorithms after proper generalization. Specifically, I consider the following four classes of techniques that have been used to speed up single-objective search algorithms, namely, (1) by trading off solution quality with efficiency, (2) by anytime search, (3) by preprocessing techniques, and (4) by efficient data structures for time-consuming operations. We validate this hypothesis by introducing various new multi-objective search algorithms and speed-up techniques.Location: Henry Salvatori Computer Science Center (SAL) - 213
Audiences: Everyone Is Invited
Contact: Ellecia Williams
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EiS Communications Hub - Tutoring for Engineering Ph.D. Students
Mon, Oct 21, 2024 @ 10:00 AM - 12:00 PM
Viterbi School of Engineering Student Affairs
Workshops & Infosessions
Come to the EiS Communications Hub for one-on-one tutoring from Viterbi faculty for Ph.D. writing and speaking projects!
Location: Ronald Tutor Hall of Engineering (RTH) - 222A
Audiences: Viterbi Ph.D. Students
Contact: Helen Choi
Event Link: https://sites.google.com/usc.edu/eishub/home
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2024 Kickoff Mixer USC-Amazon Center on Trustworthy AI
Mon, Oct 21, 2024 @ 01:00 PM - 06:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Workshops & Infosessions
The USC + Amazon Center on Secure & Trusted Machine Leaning is hosting its 4th Kickoff Meeting on Monday, October 21, 2024, from 1:00 p.m. – 6:00 p.m. The event will take place in the Electrical Engineering Building, EEB132. There will be a keynote talk, research presentations from the projects that were selected for 2024-2025 and from the Amazon PhD fellows, and opportunities to speak with USC faculty and Amazon scientists. REGISTER HERE: https://forms.gle/qRaqtef1BHyNRCfB9
More Information: 2024 USC-Amazon Kickoff Meeting-2.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Ariana Perez
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PhD Thesis Proposal - Weizhao Jin
Mon, Oct 21, 2024 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Efficiency in Privacy-Preserving Computation Via Domain Knowledge
Date and Time: 10/21/24 - 2:00p - 3:00p
Location: DMC 103
Committee Members: Srivatsan Ravi, Bhaskar Krishnamachari, Harsha V. Madhyastha, Fred Morstatter
Abstract: In recent years, the importance of privacy has grown significantly due to the increasing reliance on user data for building server-side applications and services. To comply with expanding privacy regulations such as GDPR, service providers have adopted privacy-preserving primitives that maintain computational functionality while ensuring user privacy. However, a key challenge lies in integrating these privacy-preserving techniques, such as homomorphic encryption and multi-party computation, into application protocols in a way that balances the efficiency and feasibility of deployment. My thesis proposal investigates two distinct domains emphasizing privacy-preserving computation variants and proposes practical domain-knowledge-based solutions to address challenges related to overhead and protocol complexity for efficient privacy in machine learning and in networks/IoT.Location: DMC 103
Audiences: Everyone Is Invited
Contact: Felante' Charlemagne
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CSC/CommNetS-MHI Seminar: Murat Arcak
Mon, Oct 21, 2024 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Murat Arcak, Professor of Electrical Engineering and Computer Sciences | University of California, Berkeley
Talk Title: Data-Driven Approaches for Estimating Reachable Sets in Complex Dynamical Systems
Series: CSC/CommNetS-MHI Seminar Series
Abstract: The computation of reachable sets is essential for characterizing and verifying the behavior of safety-critical systems. However, many practical systems are high-dimensional and analytically intractable, making the exact computation of reachable sets difficult or impossible. We propose a data-driven approach that uses a finite ensemble of sample trajectories to estimate reachable sets with probabilistic accuracy guarantees. This method is broadly applicable and computationally advantageous, as the main cost comes from simulating a predetermined number of trajectories, which can be parallelized to reduce computation time. We first present a method that uses scenario optimization to construct reachable set estimates as approximate solutions to chance-constrained optimization problems. Next, we use a class of polynomials derived from empirical moment matrices, whose sublevel sets act as nonconvex estimates of the reachable set. These data-driven methods offer scalable solutions for estimating reachable sets in systems with complex dynamics.
Biography: Murat Arcak is a professor at the University of California, Berkeley, where he holds the Robert M. Saunders Endowed Chair. He has a primary appointment in Electrical Engineering and Computer Sciences, and a courtesy appointment in Mechanical Engineering. He earned his B.S. degree in Electrical Engineering from BoÄaziçi University, Istanbul, Turkey, in 1996, and his M.S. and Ph.D. degrees from the University of California, Santa Barbara, in 1997 and 2000. His research focuses on dynamical systems and control theory, with applications in multi-agent systems and transportation. He received a CAREER Award from the National Science Foundation in 2003, the Donald P. Eckman Award from the American Automatic Control Council in 2006, the Control and Systems Theory Prize from the Society for Industrial and Applied Mathematics (SIAM) in 2007, and the Antonio Ruberti Young Researcher Prize from the IEEE Control Systems Society in 2014. He is a member of ACM and SIAM, and a fellow of both IEEE and the International Federation of Automatic Control (IFAC)
Host: Dr. Lars Lindemann, llindema@usc.edu
More Information: 2024.10.21 CSC Seminar - Murat Arcak.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 248
Audiences: Everyone Is Invited
Contact: Miki Arlen
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Apple: Careers In Hardware and Silicon Engineering
Mon, Oct 21, 2024 @ 05:30 PM - 06:30 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
This event is for Viterbi Engineering students only. You must register on Handshake to attend.
Majors: ECE, EE, and CS
Meet Mahdi Seddinghnezhad (Sr Director, CPU team) from Apple during this recruiting session!
You will get to know about different career paths in Hardware and Silicon Engineering in Apple. We will give a summary of various functions within Hardware Technology within Apple. We will also have a panel discussion where students can ask questions to experts from different fields in Apple
We will have a 1:1 interaction as time permits and collect resumes from students for intent / full time positions
Event Agenda:
Presentation on “Apple Engineering Careers in HW”
Panel Discussion
Hear from Apple engineers about their education and career journeys
Ask questions about your path and opportunities at Apple
Student / Apple 1:1 interaction (Resumes welcome)
IMPORTANT: Event check-in is first come, first serve and event capacity is 319 people. If you are signing up for the event, it is the expectation that you attend the event or cancel if you are no longer able to attend.Location: Mark Taper Hall Of Humanities (THH) -
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
Event Link: https://usc.joinhandshake.com/