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SUNMONTUEWEDTHUFRISAT
Events for March 06, 2024
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System Safety SSC 24-2Wed, Mar 06, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
Instruction is given in system safety engineering and management, emphasizing complex, high-technology systems. Engineering methods are illustrated with practical, numerical examples. The principal system safety analysis method is taught with classroom and homework problems. The preparation of a system safety program plan and management of the system safety process in all phases of the system life are examined in depth. A classroom project allows students to apply system safety management and engineering methods while working as a team. Enrichment lectures in special areas of knowledge essential to the system safety process will also be presented. Each student should bring a calculator with statistical functions.
Location: Century Boulevard Building (CBB) - 920
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24ASSC2
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Aircraft Accident Investigation AAI 24-3
Wed, Mar 06, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
The course is designed for individuals who have limited investigation experience. All aspects of the investigation process are addressed, starting with preparation for the investigation through writing the final report. It covers National Transportation Safety Board and International Civil Aviation Organization (ICAO) procedures. Investigative techniques are examined with an emphasis on fixed-wing investigation. Data collection, wreckage reconstruction, and cause analysis are discussed in the classroom and applied in the lab. The USC Aircraft Accident Investigation lab serves as the location for practical exercises. Thirteen aircraft wreckages form the basis of these investigative exercises. The crash laboratory gives the student an opportunity to learn the observation and documentation skills required of accident investigators. The wreckage is examined and reviewed with investigators who have extensive actual real-world investigation experience. Examination techniques and methods are demonstrated along with participative group discussions of actual wreckage examination, reviews of witness interview information, and investigation group personal dynamics discussions.
Location: WESTMINSTER AVENUE BUILDING (WAB) - Unit E
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AAAI3
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EiS Communications Hub Drop-In Hours
Wed, Mar 06, 2024 @ 10:00 AM - 01:00 PM
Viterbi School of Engineering Student Affairs
Workshops & Infosessions
Viterbi Ph.D. students are invited to stop by the EiS Communications Hub for one-on-one instruction for their academic and professional communications tasks. All instruction is provided by Viterbi faculty at the Engineering in Society Program.
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?authuser=0
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EiS Communications Hub Drop-In Hours
Wed, Mar 06, 2024 @ 10:00 AM - 01:00 PM
Engineering in Society Program
Student Activity
Drop-in hours for writing and speaking support for Viterbi Ph.D. students
Location: Ronald Tutor Hall of Engineering (RTH) - 222
Audiences: Everyone Is Invited
Contact: Helen Choi
Event Link: https://sites.google.com/usc.edu/eishub/home
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CS Colloquium: Chang Xiao (Adobe Research) - Augmented Interaction Between Physical and Digital Realm
Wed, Mar 06, 2024 @ 10:00 AM - 11:00 AM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Chang Xiao, Adobe Research
Talk Title: Augmented Interaction Between Physical and Digital Realm
Series: Computer Science Colloquium
Abstract: Today's computing devices, including mobile phones, wearable devices, and VR/AR headsets, have become increasingly powerful and accessible to almost everyone. They offer a direct and immersive interaction with digital worlds. But what if we could use these devices to access interactive physical worlds as well, expanding our interaction space and unlocking greater interactive potential? In this talk, I will discuss our work on integrating both physical and digital systems to create a new computing environment. Leveraging techniques from AI/ML, Computer Vision, and Computational Design, we propose several interactive systems and sensing techniques that provide users with unified, low-cost, tangible, and intuitive experiences. These approaches unlock the potential of using the physical environment as computer interfaces in the era of Extended Reality (XR) and spatial computing, bridging the gap between physical and digital spaces.
This lecture satisfies requirements for CSCI 591: Research Colloquium
Biography: Chang Xiao is currently a Research Scientist at Adobe Research. He obtained his PhD from Columbia University in 2021. His broad interests lie at the intersection of HCI, AI/ML, and AR/VR, with a special focus on leveraging AI/ML to develop novel interaction and sensing techniques. His work has been published in a wide spectrum of top computer science venues, including CHI, UIST, SIGGRAPH, NeurIPS, CVPR, and ICLR. His research has gained impact beyond academia, having been successfully integrated into multiple Adobe products and receiving widespread attention, including media interviews and coverage by CNN, Adweek, CACM, and IEEE Spectrum. During his PhD studies, he received the Snap Research Fellowship and the Cheung-Kong Innovation Doctoral Fellowship.
Host: Heather Culbertson
Location: Olin Hall of Engineering (OHE) - 132
Audiences: Everyone Is Invited
Contact: CS Faculty Affairs
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Careers at BMW
Wed, Mar 06, 2024 @ 11:30 AM - 01:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Careers at BMW (Virtual)
Wednesday, March 6th
11:30 -1
Location: Zoom. Register HERE
This virtual Info session will be lead by the current recruiting intern at Plant 10 in Spartanburg, SC (the largest BMW plant in the America's). We will discuss topics such as activities at Plant Spartanburg (Design, Assembly, Testing, etc.). We will also discuss the career opportunities that BMW has, not just at Plant 10 but worldwide- we offer paid, full-time co-ops and internships to undergraduate and graduate students of all levels all throughout the year, as well as internship opportunities for international students. We also have post-graduate programs built to give a new associate a well-rounded training before starting as a full-time associate. We have over 100 student positions offered every season, with the majority being in a range of engineering and technical disciplines.
Majors of interest: Supply Chain Systems, Industrial Engineering, Mechanical Engineering, Electrical Engineering, IT, and many other related areas of study.
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.eduLocation: Virtual Event
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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PhD Dissertation Defense - Sina Shaham
Wed, Mar 06, 2024 @ 01:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
University Calendar
PhD Dissertation Defense - Sina Shaham
Committee: Prof. Bhaskar Krishnamachari, Prof. Cyrus Shahabi, Prof. Cauligi Raghavendra
Title: Responsible AI in SpatioTemporal Data Processing
Abstract: In this presentation, we systematically investigate the design and development of algorithms to improve privacy and fairness in the processing of spatio-temporal data. Beginning with an essential background introduction and a review of cutting-edge advancements, the discussion progresses to introduce a novel algorithm for safeguarding privacy in the dissemination of Origin-Destination (OD) Matrices. This algorithm, rooted in Differential Privacy (DP) principles, aims to protect user privacy during the collection and sharing of OD-matrices in 2D and higher dimensions. Subsequently, our focus shifts to the domain of user energy consumption, where we develop a methodology that ensures user privacy when disclosing electricity time series to third parties and entities that may not be fully trusted. Following this, we propose an incentive-based program aimed at balancing electricity demand, taking into account socio-economic family attributes and ensuring fair treatment. Through comprehensive evaluations, the presentation demonstrates the progress made over previous works and also sheds light on potential areas for future studies, particularly in the realm of responsible handling of complex spatio-temporal data.
Zoom Link: https://usc.zoom.us/j/98092705100Location: Hughes Aircraft Electrical Engineering Center (EEB) - 539
Audiences: Everyone Is Invited
Contact: CS Events
Event Link: https://usc.zoom.us/j/98092705100
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AME Seminar
Wed, Mar 06, 2024 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Hannah Lu, MIT
Talk Title: Physics-Aware Data-Driven Modeling and Uncertainty Quantification for Large-Scale Environmental Problems
Abstract: Data-driven modeling of complex systems is a rapidly evolving field facilitated by the concurrent rise of data science. To alleviate the prohibitively expensive computational costs of repeated full-model simulations in uncertainty quantification, data-driven modeling is often used to describe the behaviors of the complex system by predicting the quantities of interest directly. In this talk, I will present my contributions to this field with an emphasis on (1) improving model performance by using physics-aware machine learning techniques, (2) quantifying uncertainties in the system’s response, and (3) inferring the key parameters of the physics-based models from measured data. Examples of applications will be focused on large-scale geological carbon sequestration—an important strategy for reducing greenhouse gas emissions to the atmosphere and mitigating climate change. The objective is to develop a convenient computing toolbox to provide more accurate scientific information at cheaper computational costs for better environmental management and decision-making.
Biography: Hannah Lu is a postdoc associate at MIT, affiliated with the Department of Aeronautics and Astronautics, Department of Civil Environmental Engineering, Earth Resources Laboratory and Laboratory for Information and Decision Systems. She obtained her Ph.D. from Energy Science and Engineering at Stanford Doerr School of Sustainability. Her research interests lie in the field of scientific computing, reduced order modeling, uncertainty quantification and machine learning in applications of environmental fluid mechanics. She received EDGE Doctoral Fellowship, Frank G. Miller Fellowship Award and Henry J. Ramey, Jr. Fellowship Award from Stanford University; Student Travel Award from SIAM Conference on UQ; NSF Fellowship from MMLDT-CSET Conference; Travel Grant from NSF-funded HydroML Symposium; and a first-place USNCCM17 Best Presentation Award in postdoc category.
Host: AME Department
More Info: https://ame.usc.edu/seminars/
Webcast: https://usc.zoom.us/j/95892885119?pwd=QXZOZUhrcTJRYk5qZzZwVThrTytVZz09Location: James H. Zumberge Hall Of Science (ZHS) - 252
WebCast Link: https://usc.zoom.us/j/95892885119?pwd=QXZOZUhrcTJRYk5qZzZwVThrTytVZz09
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://ame.usc.edu/seminars/
