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Conferences, Lectures, & Seminars
Events for October

  • AME Seminar - no seminar this week

    Wed, Oct 04, 2023 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Audiences: Everyone Is Invited

    Contact: Tessa Yao


    This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.

  • DEI: Women of AME Panel

    Mon, Oct 09, 2023 @ 02:00 PM - 03:00 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Inna Abramova, Eva Kanso, Neda Maghsoodi, Anita Penkova, Emma Singer, Alejandra Uranga, AME

    Talk Title: Women of AME Panel

    Abstract: By popular demand, the women of AME's Faculty are gathering to reflect on and discuss their professional journeys and the influential forces on their various career paths. Join us and partake in this exciting panel.

    Please RSVP at the link below.

    Host: AME Department

    More Info: https://forms.gle/w42u3BK7GDoLcKxy5

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

    Event Link: https://forms.gle/w42u3BK7GDoLcKxy5


    This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.

  • AME Seminar

    Wed, Oct 11, 2023 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Michael Yip, UCSD

    Talk Title: Teaching a Robot to Perform Surgery: From 3D Image Understanding to Deformable Manipulation

    Abstract: Robot manipulation have made massive strides in the past few years, especially in grasping for warehouse logistics, due to the achievements in the computer vision and reinforcement learning communities. One area that has taken off much slower is in understanding how to manipulate deformable objects. For example, surgical robotics are used today via teleoperation from a human-in-the-loop, but replacing the human visual understanding and task performance with an AI remains a lofty and puzzling challenge. How do you build intuition and control of how to deform, stretch, or cut anatomical tissue, find hemorrhages and suction blood and bodily fluids from view, or simply localize your robot within a dynamically changing and deformable world in real-time?

    In this talk, I will discuss our work that originates from trying to automate robotic surgery, but falls towards building new modeling and learning schemes for deformable robot manipulation and visual servoing. I will discuss how we analyze a multimodal spectrum of sensory information to solve real-to-sim and sim-to-real problems, while towing a fine line between physics-based models and the less-explainable yet highly successful latent space embeddings. I will show how these techniques apply not only to automating surgical robots but general robot manipulation in real-world scenes.

    Biography: Michael Yip is an Associate Professor of Electrical and Computer Engineering at UC San Diego, IEEE RAS Distinguished Lecturer, Hellman Fellow, and Director of the Advanced Robotics and Controls Laboratory (ARCLab). His group currently focuses on solving problems in data-efficient and computationally efficient robot control and motion planning through the use of various forms of learning representations from imitation learning and reinforcement learning strategies. These techniques focus on solving problems with visually guided robot manipulation and locomotion on novel, dexterous platforms, including surgical robot manipulators, continuum robots, snake-like robots, and underwater systems. His work has been recognized through several best paper awards and nominations at ICRA and IROS, and RA-L, as well as recognitions including the NSF CAREER award and the NIH Trailblazer award. Dr. Yip was previously a Research Associate with Disney Research Los Angeles in 2014, a Visiting Professor at Stanford University in 2019, and a Visiting Professor with Amazon Robotics' Machine Learning and Computer Vision group in Seattle, WA in 2018. He received a B.Sc. in Mechatronics Engineering from the University of Waterloo, an M.S. in Electrical Engineering from the University of British Columbia, and a Ph.D. in Bioengineering from Stanford University.

    Host: AME Department

    More Info: https://ame.usc.edu/seminars/

    Webcast: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09 Meeting ID: 981 2114 1178 Passcode: NhXrDOqQU8

    Location: Seaver Science Library (SSL) - 202

    WebCast Link: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09 Meeting ID: 981 2114 1178 Passcode: NhXrDOqQU8

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

    Event Link: https://ame.usc.edu/seminars/


    This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.

  • AME Seminar

    Wed, Oct 18, 2023 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Carmel Majidi, Carnegie Mellon University

    Talk Title: Soft-Matter Engineering for Robotics and Wearables

    Abstract: Progress in soft lithography and soft materials integration have led to extraordinary new classes of soft-matter sensors, circuits, and transducers. These material technologies are composed almost entirely out of soft matter -“ elastomers, gels, and conductive fluids like liquid metal -“ and represent the building blocks for machines and electronics that are soft, flexible, and stretchable. Because of their intrinsic compliance and elasticity, such devices can be incorporated into soft, biologically-inspired robots or be worn on the body and operate continuously without impairing natural body motion. In this talk, I will review recent contributions from my research group in creating soft multifunctional materials for wearable electronics and soft robotics using these emerging practices in soft-matter engineering. In particular, I will focus on soft robots powered using shape memory materials and soft material architectures for highly stretchable digital electronics, wearable energy harvesting, and electrically-responsive actuation. When possible, I will show how the design and operation of these soft-matter technologies can be guided by theoretical modeling methods based on principles of mechanics and discrete differential geometry. In addition to presenting my own research in the field, I will also briefly review broader efforts and emerging challenges in utilizing soft multifunctional materials for applications in wearable electronics, bioelectronic interfaces, and soft robotics.

    Biography: Carmel Majidi is the Clarence H. Adamson Professor of Mechanical Engineering at Carnegie Mellon University, where he leads the Soft Machines Lab. His lab is dedicated to the discovery of novel material architectures that allow machines and electronics to be soft, elastically deformable, and biomechanically compatible. Currently, his research is focused on modeling, design, and control of soft robotic systems as well as the developoment of multifunctional materials that exhibit unique combinations of mechanical, electrical, and thermal properties and can function as artificial skin, nervous tissue, and muscle. Carmel has received grants from industry and federal agencies along with early career awards from DARPA, ONR, AFOSR, and NASA to explore challenges in soft-matter engineering and robotics. Prior to arriving at CMU, Prof. Majidi had postdoctoral appointments at Harvard and Princeton Universities and received his PhD in Electrical Engineering at UC Berkeley.

    Host: AME Department

    More Info: https://ame.usc.edu/seminars/

    Webcast: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09 Meeting ID: 981 2114 1178 Passcode: NhXrDOqQU8

    Location: Seaver Science Library (SSL) - 202

    WebCast Link: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09 Meeting ID: 981 2114 1178 Passcode: NhXrDOqQU8

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

    Event Link: https://ame.usc.edu/seminars/


    This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.

  • AME Seminar

    Wed, Oct 25, 2023 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Binil Starly, Arizona State University

    Talk Title: Cyber-Manufacturing: Delivering Manufacturing Services Over Web 3.0

    Abstract: Cybermanufacturing enables the shared use of networked manufacturing infrastructure to deliver manufacturing resources on-demand while maximizing capacity utilization, reducing consumption of natural and material resources, and reducing costs to product design and manufacturing. This talk will highlight three areas where our group has contributed to the understanding of Cybermanufacturing systems -“ 1) With the explosive growth of 3D product models, the data contained in them may be used to democratize access and broaden those who are able to engage in product design and manufacturing; 2) Understanding of manufacturing capability available over the entire US through Natural Language Processing (NLP), and its interface with Large Language Models (like BERT & GPT-4); 3) Identification and Verification of Machines in the context of a Distributed Web of machines. In the future, the digital connection across factories will also lead to Manufacturing Networks that are highly agile, distributed, and resilient while considering the long-term consequences of sustainable industrial performance. Emerging digital technologies such as Pervasive Sensing, Computational Intelligence, Edge-Fog-Cloud Computing, Digital Twins, Smart Automation, Intelligent Collaborative Robots etc., open new possibilities in the design of smart collaborative physical and digital networks of factories.

    Biography: Binil Starly serves as the Founding School Director and Professor in the School of Manufacturing Systems & Networks, one of 8 Schools within the Ira. A. Fulton Schools of Engineering at Arizona State University. He has over 20 years of experience in Digital manufacturing. His laboratory is working on technologies that merge the digital and the physical world towards advancing both discrete and continuous manufacturing. His work is supported by the US National Science Foundation, Department of Energy and the Department of Defense. He has received the NSF CAREER award, SME 20 Most Influential Professors in Smart Manufacturing, SME Young Manufacturing Engineering Award (2011) and numerous teaching awards at the University of Oklahoma and North Carolina State University. His lab website is at: https://www.dimelab.org.

    Host: AME Department

    More Info: https://ame.usc.edu/seminars/

    Webcast: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09 Meeting ID: 981 2114 1178 Passcode: NhXrDOqQU8

    Location: Seaver Science Library (SSL) - 202

    WebCast Link: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09 Meeting ID: 981 2114 1178 Passcode: NhXrDOqQU8

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

    Event Link: https://ame.usc.edu/seminars/


    This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.