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
‘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
Discovering a digital biomarker for post-stroke cognitive problems

June 20, 2023


«Previous Story  

 

 

Current Headlines

Khaligh Honored With Linda Clement Outstanding Advisor Award

UMD Launches Institute Focused on Ethical AI Development

Remembering Rance Cleaveland (1961-2024)

Dinesh Manocha Inducted into IEEE VGTC Virtual Reality Academy

ECE Ph.D. Student Ayooluwa (“Ayo”) Ajiboye Recognized at APEC 2024

Balachandran, Cameron, Yu Receive 2024 MURI Award

UMD, Booz Allen Hamilton Announce Collaboration with MMEC

New Research Suggests Gossip “Not Always a Bad Thing”

Ingestible Capsule Technology Research on Front Cover of Journal

Governor’s Cabinet Meeting Features Peek into Southern Maryland Research and Collaboration

 
 
Back to top  
Home Clark School Home UMD Home