search

UMD     This Site





The Washington Statistical Society (WSS) has chosen Mathematics Ph.D. candidate Xuze Zhang as the 2023 University of Maryland outstanding graduate student for Statistics and Mathematics. The award presentation is in Washington, D.C. on June 21.

Zhang is being honored for his Ph.D. thesis work, which covers two different topics, “Extension of the density ratio model to time series,” and “Applications of lagged coherence in brain research.”

He is a student of ISR-affiliated Professor Benjamin Kedem (Math), and previously earned an M.A. in Statistics with Kedem in 2018.

Congratulations, Xuze Zhang!

 



Related Articles:
Journal names statistical work on environmental extremes to its 'selected articles' list
Radon estimation model is featured as Wiley 'Layman's Abstract'
AR framework can model rare dynamic phenomena and extreme events
A novel statistical idea: 'Down-Up' sequences that 'capture' small tail probabilities
76 Undergrads Recognized at Annual Honors & Awards Celebration
‘Priming’ helps the brain understand language even with poor-quality speech signals
New UMD Division of Research video highlights work of Simon, Anderson
Two ECE Graduate Students Win 2023 UMD Three Minute Thesis Competition
Ghodssi invited speaker at NIMH workshop on sensor technologies to capture the complexity of behavior
Autism Research Resonates in Hearing-Focused Project

June 20, 2023


«Previous Story  

 

 

Current Headlines

Alireza Khaligh Named IEEE Fellow

REACH Student Wins Prestigious ARO Scholars Award

University of Maryland Represented at International Forum

Small Business Connections Help Meet Researcher Needs

UMD Engineering & HII Partner to Accelerate Defense Technologies

Tian Honored with Oral Presentation Award at MicroTAS 2025

10th Annual Paint Branch Distinguished Lecture in Applied Physics 

Innovative Engineering Course Has ‘Wicked’ Tie-in

Engineering at Maryland magazine solves for excellence

Meet the Clark Scholars Class of ’29

 
 
Back to top  
Home Clark School Home UMD Home