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Events for September

  • Interested in starting a company while at USC?

    Interested in starting a company while at USC?

    Wed, Sep 04, 2024 @ 12:00 PM - 01:00 PM

    Viterbi Technology Innovation and Entrepreneurship

    University Calendar


    Come & hear about programs with over 100k in prizes! Hear from program alumni on their student co founder journey and experience in participating in USC's innovation programming. Hear specicially about the Min Family Challenge and the Maseeh Entrepreneurship Prize Competition. Min Family Challenge - Engineering solutions for Social Impact with a 50k prizeMaseeh Entrepreneurship Prize Competition- Deep Tech  50k prize competition   RSVP 

    Location: Michelson Center for Convergent Bioscience (MCB) - 101

    Audiences: Everyone Is Invited

    Contact: Viterbi TIE

    Event Link: https://cglink.me/2nB/r397841

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  • PhD Dissertation Defense - Nathan Bartley

    Mon, Sep 09, 2024 @ 09:00 AM - 11:00 AM

    Thomas Lord Department of Computer Science

    University Calendar


    Title: Measuring and Mitigating Exposure Bias in Online Social Networks  
     
    Date and Time: Monday, September 9th: 9:00am - 11:00am  
     
    Location: ISI 1135  
     
    Committee Members: Kristina Lerman (Chair)< Mike Ananny, Emilio Ferrara, Fred Morstatter  
     
    Abstract: Online social platforms employ personalized feed algorithms to gather and collate messages from accounts users follow (and increasingly, from accounts they don’t follow). However, the network structure and activity of these observed accounts distorts content’s perceived popularity prior to any personalization. We call this “exposure bias:” our research focuses on quantifying it using diverse metrics, and we evaluate different algorithms that underpin personalized feeds with these metrics. We use empirical X/Twitter data and simulations in a network to assess the influence different feeds have on exposure bias. We describe a greedy algorithm based on network properties that offers insights into how to mitigate exposure bias. 

    Location: Information Science Institute (ISI) - 1135

    Audiences: Everyone Is Invited

    Contact: Nathan Bartley

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  • Co Founder Workshop

    Co Founder Workshop

    Fri, Sep 13, 2024 @ 10:00 AM - 11:30 PM

    Viterbi Technology Innovation and Entrepreneurship

    University Calendar


    Are you participating in a competition this year. Are you ready to find the perfect cofounder match? Join us for a dynamic workshop designed to help you navigate the ins and outs of building a successful entrepreneurial partnership! Whether you're looking for a cofounder now or in the future, or want to strengthen an existing relationship, this event is for you.
    Whats in store? 

    Cofounder Selection Workbook: A step-by-step guide to identifying and evaluating cofounder fit
    Experiential Exercises: Hands-on activities to understand what you’re looking for and what’s in it for them
    Networking: Connect with like-minded entrepreneurial students ready to collaborate.

     
    Oh, and did we mention the ice cream?  Don’t miss out on this sweet opportunity to level up your startup journey!
    <a href="worldlabs.org/event/choose-a-co-founder">RSVP</a>

    Location: 202

    Audiences: Everyone Is Invited

    Contact: Viterbi TIE

    Event Link: https://www.worldlabs.org/event/choose-a-co-founder

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  • AI4Health – Computational Epidemiology During the COVID-19 Pandemic

    AI4Health – Computational Epidemiology During the COVID-19 Pandemic

    Mon, Sep 16, 2024 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    University Calendar


    Abstract: In this talk, Professor Majumder will discuss her recent work in computational epidemiology (comp epi): an interdisciplinary field at the intersection of machine learning, digital data, and public health. With a focus on the COVID-19 pandemic, topics covered will include agent-based models for health policy simulation; smartphone mobility data for health policy evaluation; and search query & news media data for monitoring health misinformation. In particular, the health policies and digital data considered will showcase the role of social justice and social networks in Prof. Majumder’s research. Host: Abigail Horn, Research Assistant Professor of Industrial and Systems Engineering. You may sign up here: https://docs.google.com/spreadsheets/d/1Ygbf_dw_Lz2PHkAhkBZKRG7zauEyMjo5/edit?usp=sharing&ouid=115809796864143943107&rtpof=true&sd=true
    to speak with Professor Majumder via Zoom between 9 am and 10:30 am, and 12 pm and 2 pm. All times Pacific   Speaker Bio Dr. Maimuna (Maia) Majumder (she/they) is an Assistant Professor and Inaugural Peter Szolovits Distinguished Scholar in the Computational Health Informatics Program at Harvard Medical School and Boston Children’s Hospital. Her research applies artificial intelligence & machine learning methods to public health problems, with a focus on infectious disease surveillance using search query, mobile phone, and news & social media data. Since January 2020, Maia and her team have been actively responding to the ongoing COVID-19 pandemic.

    Location:  ONLINE ONLY

    Audiences: Everyone Is Invited

    Contact: Tricia Olmedo

    Event Link: https://usc.zoom.us/j/93936022035?pwd=Ot1rjLPcXteolnG18eVVPJhnrdiBtr.1&from=addon

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  • PhD Thesis Proposal - Hanchen Xie

    Tue, Sep 17, 2024 @ 02:00 PM - 03:00 PM

    Thomas Lord Department of Computer Science

    University Calendar


    Title: Mitigating Environment Misalignments and Discovering Intrinsic Relations via Symbolic Alignment
     
    Date and Time: Tuesday, September 17th, 2024: 2:00pm - 3:00pm
     
    Location: SAL 213
     
    Committee Members: Yue Wang (Chair), Wael AbdAlamgeed (Outisde), Aram Galstyan, Emilio Ferrara, Peter Beerel
     
    Abstract: Modern data-driven machine learning models have achieved remarkable performance on visual recognition tasks, such as object detection and semantic segmentation. Further, when the training data is relatively comprehensive and contains intrinsic relations data, such as object dynamics relations, machine learning models can also discover such relations for downstream tasks, like dynamics prediction. However, unlike data for visual recognition, data that contains comprehensive intrinsic relations can be hard to acquire in many environments (e.g., the real world). As an alternative solution, directly deploying models trained in different environments (e.g., synthetic data) may lead to unsatisfied performance due to environment misalignment challenges. Further, finetuning any pre-trained relations discovery model is also challenging due to the absence of comprehensive data. In this thesis proposal, I will first introduce a set of datasets I designed to investigate the challenge. Then, I will discuss the environment misalignment challenges of conventional machine learning models by using the dynamics prediction tasks as a probe. Following that, I will introduce a promising research direction to mitigate such a challenge by utilizing symbolic space as the common space to align various environments so that the pre-trained relations discovery models can be directly employed and maintain satisfactory performance.
     
    Zoom Link: https://usc.zoom.us/j/93657427715?pwd=Q2M5tyfDp7plVXp77nBU11ll3YB7Ul.1 

    Location: Henry Salvatori Computer Science Center (SAL) - 213

    Audiences: Everyone Is Invited

    Contact: Hanchen Xie

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  • Panel Discussion: Intersection of societal needs and innovation

    Wed, Sep 18, 2024 @ 12:00 PM - 01:00 PM

    Viterbi Technology Innovation and Entrepreneurship

    University Calendar


    Join us for an inspiring panel discussion at USC, where 5 NGO leaders passionate about Sustainable Development Goals (SDGs) will share their insights and support for emerging entrepreneurs and engineers. This event is designed to bridge the gap between innovation and real-world impact, offering students a unique opportunity to engage directly with those who understand real world needs. 
    Through this collaboration, students will gain valuable early access to perspectives that can shape their entrepreneurial journeys, helping them develop solutions that address critical challenges and make a positive difference in communities worldwide. Don’t miss this chance to connect with leaders driving change and learn how you can contribute to a more sustainable future!

    Audiences: Everyone Is Invited

    Contact: Viterbi TIE

    Event Link: https://cglink.me/2nB/r397960

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  • PhD Dissertation Defense - Mianlun Zheng

    Thu, Sep 19, 2024 @ 02:00 PM - 04:00 PM

    Thomas Lord Department of Computer Science

    University Calendar


    Title: Real-time Multi-Resolution Neural Networks for Hand Simulation
     
    Date and Time: Thursday, September 19th, 2024 - 2:00pm - 4:00pm
     
    Location: EEB 539
     
    Committee Members: Jernej Barbic, Oded Stein, and Jay Kuo
     
    Abstract:
    We present a method to simulate the hand’s musculoskeletal organs in any pose within the hand's range of motion. This method produces external hand shapes and internal organ shapes that match ground truth optical scans and medical images (MRI) in multiple scanned poses. Our system models bones, muscles, tendons, joint ligaments, and fat as separate volumetric organs that mechanically interact through contact and attachments. The match to MRI is achieved by incorporating pose-space deformation and plastic strains into the simulation. We evaluated our method by comparing it to optical scans and demonstrated that we qualitatively and quantitatively substantially decreased the error compared to previous work. Furthermore, we proposed a hard real-time machine learning shape deformer that reproduces high-quality shapes of a hero character at multiple levels of detail (LODs) and at fast speeds (a few milliseconds at most), targeting modern real-time applications.

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 539

    Audiences: Everyone Is Invited

    Contact: Mianlun Zheng

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  • DREAM Industry Mentorship speaker series

    Mon, Sep 23, 2024 @ 12:00 PM - 01:00 PM

    USC Viterbi School of Engineering

    University Calendar


    DREAM 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 event features MIT alumnus, Porsche and BMW expert, author, and founder Wayne Dempsey, on his career as an innovative mechanical engineer. 

    More Information: DREAM 9:23 Wayne Dempsey.png

    Location: Ronald Tutor Hall of Engineering (RTH) - 217

    Audiences: Everyone Is Invited

    Contact: Elisabeth Arnold Weiss

    Event Link: https://cglink.me/2nB/r398241

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  • PhD Thesis Proposal - Jesse Zhang

    Tue, Sep 24, 2024 @ 05:00 PM - 06:00 PM

    Thomas Lord Department of Computer Science

    University Calendar


    Title: Scalable Robot Adaptation with Large Pre-trained Models
     
    Date and Time: 09/24/24 - 5:00p - 6:00p
     
    Location: RTH 114
     
    Committee Members: Erdem Biyik, Jesse Thomason, Joseph Lim, Daniel Seita, Somil Basil
     
    Abstract: General robots deployed in the real world need to respond to dynamic environments and constantly learn new tasks. However, current approaches lack the ability to enable them to adapt to these ever-changing environments and tasks at scale, i.e., without extensive human supervision. My thesis proposal aims to tackle this problem by utilizing vast general knowledge stored in Large Pre-trained Models (LPTMs) to enable scalable and efficient robot adaptation. I will cover 3 fundamental paradigms in enabling robot adaptation: using LPTMs to (1) label offline data, (2) guide robots in learning new tasks online, and finally (3) adapt to new agent settings. Through extensive research in the first two paradigms and future thesis work proposed in the third, my proposal aims to produce general algorithms that will lead to robots mastering new tasks in unfamiliar environments with little human supervision.

    Location: Ronald Tutor Hall of Engineering (RTH) - 114

    Audiences: Everyone Is Invited

    Contact: Jesse Zhang

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  • Co Founder Workshop

    Co Founder Workshop

    Fri, Sep 27, 2024 @ 04:00 PM - 05:30 PM

    Viterbi Technology Innovation and Entrepreneurship

    University Calendar


    Are you participating in a competition this year.  Are you looking for your perfect startup partner? Join us for Cofounder Connections, a fast-paced, high-energy workshop where you’ll meet potential cofounders and maybe even find your entrepreneurial soulmate!  What to Expect: Warm-Up Activities that Won’t Make You Groan: Get into the creative mindset to get the conversation rolling. Speed-Meeting: Rotate through quick, focused conversations with like-minded entrepreneurs to find your perfect match. Networking: Connect with fellow students who share your passion for innovation. Don’t miss out on this chance to spark new partnerships and take the first step toward building your dream startup team. Your future cofounder could be just a conversation away!     RSVP

    Location: Ronald Tutor Hall of Engineering (RTH) - 526

    Audiences: Everyone Is Invited

    Contact: Viterbi TIE

    Event Link: https://www.worldlabs.org/event/how-to-choose-a-co-founder-part-2 

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  • DREAM Industry Mentorship speaker series

    Mon, Sep 30, 2024 @ 12:00 PM - 01:00 PM

    USC Viterbi School of Engineering

    University Calendar


    DREAM 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 event features Kim Cooper, founder and trailblazer in VR/AR/XR, on the challenges and opportunities for entrepreneurs at the intersection of art, tech, and design.

    More Information: DREAM flyer 9-30 Kim Cooper.png

    Location: Corwin D. Denney Research Center (DRB) - 146

    Audiences: Everyone Is Invited

    Contact: Elisabeth Arnold Weiss

    Event Link: https://cglink.me/2nB/r399197

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