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Events for April 10, 2024
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Aviation Safety Management Systems ASMS 24-4Wed, Apr 10, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
A Safety Management System (SMS) is now required for international commercial aircraft operators, airports, and air traffic services. The International Civil Aviation Organization (ICAO) established the standards and implementing procedures for SMS. All 191 countries that are members of ICAO have established or are establishing regulatory requirements for the implementation of SMS. This course teaches how organizations can establish an SMS within the context of their current safety system that meets the basic international standards of ICAO. The SMS Framework serves as a central foundation for this course.
SMS is a safety system by which an organization takes a more active role in identifying, analyzing, and mitigating safety issues that occur in the normal operation of their organization. SMS requires that organizational management take responsibility for the company’s safety program. The SMS approach requires the safety/quality team to be educated in their duties and responsibilities. This course will give you the essential skills to manage an organizational Safety Management System (SMS). The attendee will be able to manage a Safety Management System that includes risk management, audits, data collection, analysis, and incident investigations.
This course is designed for the individual planning or directing an aviation Safety Management System program. Fundamentals in systems organization and structure provide the individual with the skills and methodology to plan and manage an effective program. Emphasis is placed on understanding the principles of risk management, identifying program development strategies, audits, and applying the knowledge toward effective management systems and interoperability with Quality Assurance.Location: Online
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AASMS4
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Artificial Intelligence System Safety AISYS 24-2
Wed, Apr 10, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
Artificial Intelligence (AI), Machine Learning (ML), and autonomous systems have become pervasive in software applications. However, the implications for AI safety have created new concerns and risk factors, especially for autonomous vehicles. This course thoroughly surveys AI, machine learning, optimization, and autonomous vehicle techniques, followed by safety and hazard analysis methods. Along the way, we will bring clarity to definitions, actual capabilities of AI systems, and the current state of data science. Case studies and real-world incidents will also provide learnings and insights to advance the goal of AI safety.
Location: Century Boulevard Building (CBB) - 920
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AAISYS2
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EiS Communications Hub Drop-In Hours
Wed, Apr 10, 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, Apr 10, 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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Computer Science General Faculty Meeting
Wed, Apr 10, 2024 @ 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: Ronald Tutor Hall of Engineering (RTH) - 526
Audiences: Invited Faculty Only
Contact: Assistant to CS Chair
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AAI-CCI-MHI Seminar on CPS, Wed., April. 10, 2:00 pm, EEB 248: Gioele Zardini
Wed, Apr 10, 2024 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Gioele Zardini, Postdoctoral Researcher
Talk Title: Co-Design of Complex Systems: From Autonomy to Future Mobility
Series: EE598 Seminar Series
Abstract: When designing complex systems, we need to consider multiple trade-offs at various abstraction levels and scales, and choices of single components need to be studied jointly. For instance, the design of future mobility solutions (e.g., autonomous vehicles, micromobility) and the design of the mobility systems they enable are closely coupled. Indeed, knowledge about the intended service of novel mobility solutions would impact their design and deployment process, while insights about their technological development could significantly affect transportation management policies. Optimally co-designing sociotechnical systems is a complex task for at least two reasons. On one hand, the co-design of interconnected systems (e.g., large networks of cyber-physical systems) involves the simultaneous choice of components arising from heterogeneous natures (e.g., hardware vs. software parts) and fields, while satisfying systemic constraints and accounting for multiple objectives. On the other hand, components are connected via collaborative and conflicting interactions between different stakeholders (e.g., within an intermodal mobility system). In this talk, I will present a framework to co-design complex systems, leveraging a monotone theory of co-design and tools from game theory. The framework will be instantiated in the task of designing future mobility systems, all the way from the policies that a city can design, to the autonomy of vehicles as part of an autonomous mobility-on-demand service. Through various case studies, I will show how the proposed approaches allow one to efficiently answer heterogeneous questions, unifying different modeling techniques and promoting interdisciplinarity, modularity, and compositionality. I will then discuss open challenges for compositional systems design optimization, and present my agenda to tackle them.
Biography: Gioele Zardini is a Postdoctoral Scholar in the Department of Aeronautics and Astronautics at Stanford University and an incoming faculty at MIT in Fall 2024.
He received his BSc., MSc., and Ph.D. in Mechanical Engineering with a focus on Robotics, Systems, and Control from ETH Zurich in 2017, 2019, and 2023 respectively. He spent time in Singapore as a researcher at nuTonomy (then Aptiv, now Motional), at Stanford University (working with Marco Pavone), and at MIT (in 2020 working with David Spivak, and in 2023 with Munther Dahleh).
Driven by societal challenges, the goal of his research is to develop efficient computational tools and algorithmic approaches to formulate and solve complex, interconnected system design and autonomous decision-making problems. His research interests include the co-design of sociotechnical systems, compositionality in engineering, applied category theory, decision and control, optimization, and game theory, with applications to intelligent transportation systems, autonomy, and complex networks and infrastructures. He is the creator of Autonomy Talks (an International seminar series promoting a diverse research exchange on autonomy), as well as a lead organizer for the seminal workshops “Compositional Robotics: Mathematics and Tools”, and “Co-Design and Coordination of Future Mobility Systems” at IEEE ICRA and ITSC, respectively. He is the recipient of a paper award at the 4th Applied Category Theory Conference and of the Best Paper Award (1st Place) at the 24th IEEE International Conference on Intelligent Transportation Systems (ITSC). For more details, check out his webpage: https://gioele.science
Host: Pierluigi Nuzzo
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Ariana Perez
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AAI-CCI-MHI Seminar on CPS, Wed., April. 10, 2:00 pm, EEB 248: Gioele Zardini
Wed, Apr 10, 2024 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Gioele Zardini, Postdoctoral Researcher
Talk Title: Co-Design of Complex Systems: From Autonomy to Future Mobility
Abstract: When designing complex systems, we need to consider multiple trade-offs at various abstraction levels and scales, and choices of single components need to be studied jointly. For instance, the design of future mobility solutions (e.g., autonomous vehicles, micromobility) and the design of the mobility systems they enable are closely coupled. Indeed, knowledge about the intended service of novel mobility solutions would impact their design and deployment process, while insights about their technological development could significantly affect transportation management policies. Optimally co-designing sociotechnical systems is a complex task for at least two reasons. On one hand, the co-design of interconnected systems (e.g., large networks of cyber-physical systems) involves the simultaneous choice of components arising from heterogeneous natures (e.g., hardware vs. software parts) and fields, while satisfying systemic constraints and accounting for multiple objectives. On the other hand, components are connected via collaborative and conflicting interactions between different stakeholders (e.g., within an intermodal mobility system). In this talk, I will present a framework to co-design complex systems, leveraging a monotone theory of co-design and tools from game theory. The framework will be instantiated in the task of designing future mobility systems, all the way from the policies that a city can design, to the autonomy of vehicles as part of an autonomous mobility-on-demand service. Through various case studies, I will show how the proposed approaches allow one to efficiently answer heterogeneous questions, unifying different modeling techniques and promoting interdisciplinarity, modularity, and compositionality. I will then discuss open challenges for compositional systems design optimization, and present my agenda to tackle them.
Biography: Gioele Zardini is a Postdoctoral Scholar in the Department of Aeronautics and Astronautics at Stanford University and an incoming faculty at MIT in Fall 2024. He received his BSc., MSc., and Ph.D. in Mechanical Engineering with a focus on Robotics, Systems, and Control from ETH Zurich in 2017, 2019, and 2023 respectively. He spent time in Singapore as a researcher at nuTonomy (then Aptiv, now Motional), at Stanford University (working with Marco Pavone), and at MIT (in 2020 working with David Spivak, and in 2023 with Munther Dahleh). Driven by societal challenges, the goal of his research is to develop efficient computational tools and algorithmic approaches to formulate and solve complex, interconnected system design and autonomous decision-making problems. His research interests include the co-design of sociotechnical systems, compositionality in engineering, applied category theory, decision and control, optimization, and game theory, with applications to intelligent transportation systems, autonomy, and complex networks and infrastructures. He is the creator of Autonomy Talks (an International seminar series promoting a diverse research exchange on autonomy), as well as a lead organizer for the seminal workshops “Compositional Robotics: Mathematics and Tools”, and “Co-Design and Coordination of Future Mobility Systems” at IEEE ICRA and ITSC, respectively. He is the recipient of a paper award at the 4th Applied Category Theory Conference and of the Best Paper Award (1st Place) at the 24th IEEE International Conference on Intelligent Transportation Systems (ITSC). For more details, check out his webpage: https://gioele.science
Host: Pierluigi Nuzzo
Location: 248
Audiences: Everyone Is Invited
Contact: Ariana Perez
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CAIS Seminar: Nowcasting Temporal Trends Using Indirect Surveys
Wed, Apr 10, 2024 @ 02:30 PM - 03:30 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Ajitesh Srivastava, USC CAIS Associate Director & Research Assistant Professor of Electrical and Computer Engineering
Talk Title: CAIS Seminar: Nowcasting Temporal Trends Using Indirect Surveys
Abstract: Indirect surveys, in which respondents provide information about other people they know, have been proposed for estimating (nowcasting) the size of a hidden population where privacy is important or the hidden population is hard to reach. Examples include estimating casualties in an earthquake, conditions among female sex workers, and the prevalence of drug use and infectious diseases. The Network Scaleup Method (NSUM) is the classical approach to developing estimates from indirect surveys, but it was designed for one-shot surveys. Further, it requires certain assumptions and asking for or estimating the number of individuals in each respondent’s network. In recent years, surveys have been increasingly deployed online and can collect data continuously (e.g., COVID-19 surveys on Facebook during much of the pandemic). Conventional NSUM can be applied to these scenarios by analyzing the data independently at each point in time, but this misses the opportunity of leveraging the temporal dimension. We propose to use the responses from indirect surveys collected over time and develop analytical tools (i) to prove that indirect surveys can provide better estimates for the trends of the hidden population over time, as compared to direct surveys and (ii) to identify appropriate temporal aggregations to improve the estimates. We demonstrate through extensive simulations that our approach outperforms traditional NSUM and direct surveying methods. We also empirically demonstrate the superiority of our approach on a real indirect survey dataset of COVID-19 cases.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
RSVP/Register for the Zoom webinar here: https://usc.zoom.us/webinar/register/WN_LkSI20EOQPm5npI_d8w5HA
Biography: Dr. Ajitesh Srivastava is a USC CAIS associate director and Research Assistant Professor of Electrical and Computer Engineering. He earned his PhD in computer science from USC. Dr. Srivastava’s research interests include social networks, algorithms, parallel computing, and machine learning applied to social good, crime, smart grids, and computer architecture.
Host: CAIS
More Info: https://cais.usc.edu/events/nowcasting-temporal-trends-using-indirect-surveys/
Webcast: https://usc.zoom.us/webinar/register/WN_LkSI20EOQPm5npI_d8w5HALocation: HYBRID: CPA 156 & Zoom
WebCast Link: https://usc.zoom.us/webinar/register/WN_LkSI20EOQPm5npI_d8w5HA
Audiences: Everyone Is Invited
Contact: CS Events
Event Link: https://cais.usc.edu/events/nowcasting-temporal-trends-using-indirect-surveys/
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VLP Writing Workshop
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Wed, Apr 10, 2024 @ 03:00 PM - 06:00 PM
Viterbi School of Engineering Student Affairs
Student Activity
- Need help with WRIT 150, WRIT 340, or writing for any other course?- Looking to get feedback on a final essay, project, application or other writing?- Need a hand with your resume and cover letter for Summer job hunting?Then join the VLP for snacks & expert feedback from our Writing Consultant!The Writing Consultant is available for one-on-one writing consultations from during this event. Take advantage of the study space and snacks to power through this finals season!
Location: Ronald Tutor Hall of Engineering (RTH) - 222
Audiences: Everyone Is Invited
Contact: Alex Bronz
Event Link: https://cglink.me/2nB/r396583
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AME Seminar
Wed, Apr 10, 2024 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Michael Posa, University of Pennsylvania
Talk Title: Do we really need all that data? Learning and control for contact-rich manipulation
Abstract: For all the promise of big-data machine learning, what will happen when robots deploy to our homes and workplaces and inevitably encounter new objects, new tasks, and new environments? If a solution to every problem cannot be pre-trained, then robots will need to adapt to this novelty. Can a robot, instead, spend a few seconds to a few minutes gathering information and then accomplish a complex task? Why does it seem that so much data is required, anyway? I will first argue that the hybrid or contact-driven aspects of manipulation clashes with the inductive biases inherent in standard learning methods, driving this current need for large data. I will then show how contact-inspired implicit learning, embedding convex optimization, can reshape the loss landscape and enable more accurate training, better generalization, and ultimately data efficiency. Finally, I will present our latest results on how these learned models can be deployed via real-time multi-contact MPC for dexterous robotic manipulation, where the robot must autonomously make and break contact and initiate stick-slip transitions.
Biography: Michael Posa is an Assistant Professor in Mechanical Engineering and Applied Mechanics at the University of Pennsylvania. He leads the Dynamic Autonomy and Intelligent Robotics (DAIR) lab, a group within the Penn GRASP laboratory. His group focuses on developing computationally tractable algorithms to enable robots to operate both dynamically and safely as they interact with their environments. Michael received his Ph.D. in Electrical Engineering and Computer Science from MIT in 2017 and received his B.S. in Mechanical Engineering from Stanford University in 2007. Before his doctoral studies, he worked as an engineer at Vecna Robotics. He received the NSF CAREER Award in 2023, the RSS Early Career Spotlight in 2023, a Google Faculty Research Award, and a Young Faculty Researcher Award from the Toyota Research Institute. His work has also received awards recognition at TRO, ICRA, Humanoids, and HSCC.
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/
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DREAM Industry Mentorship series- Fireside Chat with Julia Boorstin
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Wed, Apr 10, 2024 @ 04:00 PM - 05:30 PM
USC Viterbi School of Engineering
Receptions & Special Events
DREAM Industry Mentorship speaker series connects students with experienced industry professionals from a variety of tech and destination companies who help them create a vision for their futures, align their careers around purpose, and build character in the context of growth, reinvention, and constant change. Industry mentors discuss how professional challenges present opportunities for character and leadership development.
This special event features a fireside chat with Julia Boorstin, CNBC Senior Media and Tech Correspondent, on her career at the intersection of media and tech with a focus on technological innovation. She will share teachable insights from her new book When Women Lead- What They Achieve, Why They Succeed, and How We Can Learn from Them.
Reception to follow from 5-5:30 in the RTH breezeway.Location: Ronald Tutor Hall of Engineering (RTH) - 217
Audiences: Everyone Is Invited
Contact: Elisabeth Arnold Weiss
Event Link: https://cglink.me/2nB/r396493
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KPMG Information Session
Wed, Apr 10, 2024 @ 06:00 PM - 07:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
About KPMG: KPMG provides Advisory services for organizations in today's most important industries.
Food will be served!
Date: Wednesday, April 10th 2024
Time: 6:00-7:00 pm
Location: RTH211
Please join us in learning more about our specialized group called Infrastructure & Projects Advisory, specifically in the Construction Management space, where we will soon be seeking interns and full-time candidates.
Majors of interest: Civil Engineering; Civil Engineering, Environmental Engineering Emphasis; Civil Engineering, Structural Engineering Emphasis; Civil Engineering, Construction Engineering and Management Emphasis; Civil Engineering, Building Science EmphasisLocation: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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