Defense - PhD in Statistics: Meijia Wang
Friday, January 26, 2024
4:00 PM
Virtual Meeting Link: https://asu.zoom.us/j/7549591436
Title: Computational Challenges in BART Modeling: Extrapolation, Classification and Causal Inference
Marina Mancuso, Applied Mathematics PhD
Thursday, November 2
4:30 PM AZ/MST
WXLR A206 Wexler Hall (Tempe)
Virtual Meeting Link: https://asu.zoom.us/j/88683751926
Candidate: Keenan Eikenberry, Applied Mathematics PhD
October 25, 2023
1:00 PM AZ/MST
Wexler Hall (Tempe) WXLR A206
Virtual Meeting Link: https://asu.zoom.us/j/84656951284
Candidate: Shuyi Li, Statistics PhD
Friday, September 22, 2023
1:00 PM
WXLR A104 (Tempe)
Virtual Meeting Link: https://asu.zoom.us/j/83481226926
Title: Bayesian Spatiotemporal Modeling and Uncertainty Quantification
Esther Boyle, PhD Statistics
Monday, September 18
12:00 PM
WXLR 113 (Tempe)
Virtual Meeting Link: https://asu.zoom.us/j/82757231409
Title: Spatio-Temporal Methods for Analysis of Implications of Natural Hazard Risk
Candidate: Nikolay Krantsevich
Monday, July 31, 2023
9:00 AM
WXLR A546 or virtual via Zoom:
https://asu.zoom.us/j/81901180525?pwd=b0pZaTJyUThvSEtyUUxOQ3lXcmRSZz09
Title: Tree Ensemble Algorithms for Causal Machine Learning
Candidate: Jordan Dworaczyk
Friday, June 23, 2023
1:00 PM
WXLR A102 or virtual via Zoom:
https://asu.zoom.us/j/83079377454
Title: Variable Projection Method for Semi-Blind Deconvolution with Mixed Gaussian Kernels
Candidate: Axel La Salle
Friday, June 23, 2023
9:00 AM
WXLR A206 or virtual via Zoom:
https://asu.zoom.us/j/86033016854
Title: On Stochastic Modeling Applications to Cybersecurity: Loss, Attack, and Detection
Candidate: Adel Mohammed S Alatawi
Monday, June 26, 2023
9:00 AM
WXLR A206 or virtual via Zoom:
https://asu.zoom.us/j/8077965318
Title: Mathematical Assessment of the Transmission Dynamics and Control of MERS-CoV and SARS-CoV-2 in the Kingdom of Saudi Arabia
Candidate: Axel La Salle
Friday, June 23, 2023
9:00 AM
WXLR A206 and Virtual via Zoom:
https://asu.zoom.us/j/86033016854
Title: On Stochastic Modeling Applications to Cybersecurity: Loss, Attack, and Detection