CDS and ECSE Colloquium Series

The Departments of Computer and Data Sciences and Electrical, Computer, and Systems Engineering's Colloquia series brings speakers from academia, national labs and industry to present their research. The colloquia are open to the public; registration is not required.

Fall 2020 Colloquium Schedule

October 20, 2020: Toward Point-of-Care Assessment of Blood Coagulation Using Miniaturized Dielectric Coagulometry

 

October 22: Edge Intelligence - Edge Computing and Artificial Intelligence

 

October 27: Improving the Security of Internet Routing

 

Past Colloquium Speakers

September 1, 2020: Personalized Models of Natural Language

  • Speaker: Julian McAuley, Professor in the Computer Science Department at the University of California, San Diego
  • Additional information: 
  • Time: 11:30 a.m. to 12:30 p.m.
  • Location: Zoom Webinar ID: 862 815 806 Passcode: 914464

 

September 8, 2020: Sensory and Perceptual Computation

  • Speaker: Michael Lewicki, Professor in the Department of Computer and Data Sciences at Case Western Reserve University
  • Additional information: 
  • Time: 11:30 a.m. - 12:30 p.m.
  • Location: Zoom Webinar ID: 862 815 806 Passcode: 914464

 

September 15, 2020: Innovative Machine Learning for Medical Data Analytics

  • Speaker: Shuo Li, Western University, London, Ontario, Canada
  • Additional information: 
  • Time: 11:30 a.m. - 12:30 p.m.
  • Location: Zoom Webinar ID: 862 815 806 Passcode: 914464

 

September 22, 2020: Improving Fault Localization by Integrating Value and Predicate Based Causal Inference Techniques

  • Speaker: Andy Podgurski, Professor in the Department of Computer and Data Sciences at Case Western Reserve University
  • Additional information: 
  • Time: 11:30 a.m. - 12:30 p.m.
  • Location: Zoom Webinar ID: 862 815 806 Passcode: 914464

 

October 13, 2020: Multi-Regularization Reconstruction of One-Dimensional $T_2$ Distributions in Magnetic Resonance Relaxometry

  • Speaker: Chuan Bi, National Institute of Health
  • Additional information:  
  • Time: 11:30 a.m. - 12:30 p.m.
  • Location: Zoom Webinar ID: 862 815 806 Passcode: 914464