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• University Calendar (11)
• Conferences, Lectures, & Seminars (12)
• Receptions & Special Events (2)

Events for October 25, 2023

• Oct

  25

  PhD Thesis Defense - John Francis

  Wed, Oct 25, 2023 @ 10:00 AM - 12:00 PM

  Thomas Lord Department of Computer Science

  University Calendar

  
  

  PhD Thesis Proposal - John Francis  
   
  Committee Members: Mike Zyda, Carl Kesselman, Jernej Barbic, Scott Fraser, Kate White  
   
  Title: Neural Network Integration of Multiscale and Multimodal Cell Imaging Using Semantic Parts  
   
  Abstract: The structural modeling of cells can be accomplished by integrating images of cellular morphology from multiple scales and modalities using a parts based approach. In this thesis, we demonstrate a method for combining the statistical distribution of structures from x-ray tomography and fluorescence microscopy using neural networks to predict the localization of high resolution components in low resolution modalities by using the single cell as a shared unit of transfer

  Location: Michelson Center for Convergent Bioscience (MCB) - 102

  Audiences: Everyone Is Invited

  Contact: Melissa Ochoa

  Event Link: https://usc.zoom.us/j/5585232420?pwd=QmZSRXI4NkdiMWtXWnp2Q2Q3N1pSdz09

  

• Oct

  25

  PhD Thesis Defense - Georgios Papadimitriou

  Wed, Oct 25, 2023 @ 11:00 AM - 01:00 PM

  Thomas Lord Department of Computer Science

  University Calendar

  
  

  PhD Thesis Defense - Georgios Papadimitriou
  
  Committee Members: Ewa Deelman (chair), Viktor Prasanna, Aiichiro Nakano
  
  Title: Cyberinfrastructure Management For Dynamic Data Driven Applications
  
  Abstract: Computational science today depends on complex, data intensive applications operating on datasets from a variety of scientific instruments. These datasets may be huge in volume, may have high velocity or both, raising a major challenge of how scientists can analyze these datasets. On the other hand, workflows processing these datasets might need to respond to changes in the processing load e.g, increases in data flow, in order to maintain a steady and predictable turnaround time.
  In this thesis we present our efforts to improve the performance of these data intensive application systems. We develop new tools that extend the functionality offered by the CI, and we provide a methodology to capture end to end performance statistics of the data intensive workflows. Additionally, we evaluate how the choices during the acquisition and configuration of resources affect the performance of the data intensive workflows. Finally, we answer the fundamental question of how scientists can manage the CI and apply policies that can help their applications meet their constraints .e.g, turn around time, by avoiding network degradation. We develop methodologies that take place during the planning phase of the workflows, and can reduce their peak network requirements. We also develop active approaches that can be applied and reduce the per workflow network requirements during their execution, using a workflow ensemble manager and application aware software defined flows.
  

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

  Audiences: Everyone Is Invited

  Contact: Melissa Ochoa

  

• Oct

  25

  Computer Science General Faculty Meeting

  Wed, Oct 25, 2023 @ 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