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Donald E. Brown
Full Professor, School of Data Science, University of Virginia, Charlottesville
Joined
July 2019
Names
Donald E. Brown
(Preferred)
,
Donald Brown
,
Donald E Brown
,
Don Brown
,
D Brown
,
DE Brown
Emails
****@virginia.edu
(Confirmed)
,
****@virginia.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
LinkedIn
Career & Education History
Full Professor
School of Data Science,
University of Virginia, Charlottesville
(virginia.edu)
1996
–
Present
Associate Professor
Systems & Information Engineering,
University of Virginia, Charlottesville
(virginia.edu)
1990
–
1996
Assistant Professor
Systems & Information Engineering,
University of Virginia, Charlottesville
(virginia.edu)
1985
–
1990
PhD student
Industrial & Operations Engineering,
University of Michigan - Ann Arbor
(umich.edu)
1981
–
1984
Advisors, Relations & Conflicts
PhD Advisee
Payden McBee
2021
–
2023
Coworker
Phil Bourne
2017
–
2023
PhD Advisee
James Jablonski
2019
–
2022
PhD Advisee
Karmran Kowsari
2016
–
2022
PhD Advisee
Sodiq Aderwole
2015
–
2021
PhD Advisee
Kamran Kowsar
2016
–
2020
Expertise
Machine Learning
2014
–
Present
Time series analysis
1995
–
Present
Time Series Modeling
1990
–
Present
Data Fusion
1985
–
Present
Data fusion
1985
–
Present
Publications
Can Vision-Language Models Count? A Synthetic Benchmark and Analysis of Attention-Based Interventions
Saurav Sengupta
,
Nazanin Moradinasab
,
Jiebei Liu
,
Donald E. Brown
CVPR 2026 Workshop CogVL Oral
Readers:
Everyone
Pre-training Segmentation Models for Histopathology
Payden McBee
,
Nazanin Moradinasab
,
Donald E Brown
,
Sana Syed
Published: 28 Apr 2023, Last Modified: 30 May 2023
MIDL 2023 Short paper track Poster
Readers:
Everyone
Assessing Deep Learning Methodologies for Automatic Segmentation of the Velopharyngeal Mechanism
Jiebei Liu
,
Donald E Brown
,
Kazlin Mason
,
Stephen Baek
Published: 28 Apr 2023, Last Modified: 28 Apr 2023
MIDL 2023 Short paper track Poster
Readers:
Everyone
Label-Efficient Contrastive Learning-Based Model for Nuclei Detection and Classification in 3D Cardiovascular Immunofluorescent Images
Nazanin Moradinasab
,
Rebecca A. Deaton
,
Laura S. Shankman
,
Gary K. Owens
,
Donald E. Brown
Published: 01 Jan 2023, Last Modified: 24 Oct 2023
MILLanD@MICCAI 2023
Readers:
Everyone
The intersection of video capsule endoscopy and artificial intelligence: addressing unique challenges using machine learning
Shan Guleria
,
Benjamin Schwartz
,
Yash Sharma
,
Philip Fernandez
,
James A. Jablonski
,
Sodiq Adewole
,
Sanjana Srivastava
,
Fisher Rhoads
,
Michael D. Porter
,
Michelle Yeghyayan
,
Dylan Hyatt
,
Andrew Copland
,
Lubaina Ehsan
,
Donald E. Brown
,
Sana Syed
Published: 01 Jan 2023, Last Modified: 13 Nov 2023
CoRR 2023
Readers:
Everyone
Label-efficient Contrastive Learning-based model for nuclei detection and classification in 3D Cardiovascular Immunofluorescent Images
Nazanin Moradinasab
,
Rebecca A. Deaton
,
Laura S. Shankman
,
Gary K. Owens
,
Donald E. Brown
Published: 01 Jan 2023, Last Modified: 13 Nov 2023
CoRR 2023
Readers:
Everyone
Classifying Mathematics Teacher Questions to Support Mathematical Discourse
Debajyoti Datta
,
James P. Bywater
,
Maria Phillips
,
Sarah Lilly
,
Jennifer L. Chiu
,
Ginger S. Watson
,
Donald E. Brown
Published: 01 Jan 2023, Last Modified: 13 Nov 2023
AIED (Posters/Late Breaking Results/...) 2023
Readers:
Everyone
Uncertainty Quantification for Eosinophil Segmentation
Kevin Lin
,
Donald E. Brown
,
Sana Syed
,
Adam Greene
Published: 01 Jan 2023, Last Modified: 13 Nov 2023
CoRR 2023
Readers:
Everyone
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images
Nazanin Moradinasab
,
Yash Sharma
,
Laura S. Shankman
,
Gary K. Owens
,
Donald E. Brown
Published: 01 Jan 2022, Last Modified: 24 Oct 2023
MLHC 2022
Readers:
Everyone
Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data
Donald E. Brown
,
Suchetha Sharma
,
James A. Jablonski
,
Arthur Weltman
Published: 01 Jan 2022, Last Modified: 13 Nov 2023
BioData Min. 2022
Readers:
Everyone
View all 176 publications
Co-Authors
Aaron Gu
Adam Greene
Ahmed Abbasi
Aidong Zhang
Alexis Catalano
Allen L. Barker
Aman Shrivastava
Amy Mathers
Andrew Copland
Andrew R. Spillane
Ann John
Antonia de Medinaceli
April Celeste R. Leviton
Arthur Weltman
Barrett Barnes
Beatrice C. Amadi
Benjamin Greenawald
Benjamin J. Lobo
Benjamin Schwartz
Benjamin Shpringer
Bernard G. Duren
Bernard P. Markowicz
Brendan Bowman
Brian An
Brian Hashemi
View all 255 co-authors