ProfessorsProfessors of Johns Hopkins UniversityAurora Schmidt

Aurora Schmidt

Johns Hopkins University

H-index: 10

North America-United States

About Aurora Schmidt

Aurora Schmidt, With an exceptional h-index of 10 and a recent h-index of 8 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of signal processing, estimation and detection, sensor network coordination, compressed sensing, verification and validation.

His recent articles reflect a diverse array of research interests and contributions to the field:

MACAIF: Machine Learning Auditing for Clinical AI Fairness

A Safety Fallback Controller for Improved Collision Avoidance

Searching for explanations: Testing social scientific methods in synthetic ground-truthed worlds

Envelopes and waves: safe multivehicle collision avoidance for horizontal non-deterministic turns

Critical Mass and Data Integrity Diagnostics of a Twitter Social Contagion Monitor

Formal Verification of Neural Network Controllers for Collision-Free Flight

Method and apparatus for monitoring complex contagion and critical mass in online social media

Good Fences Make Good Neighbors: Using Formally Verified Safe Trajectories to Design a Predictive Geofence Algorithm

Aurora Schmidt Information

University	Johns Hopkins University
Position	Applied Physics Laboratory
Citations(all)	403
Citations(since 2020)	256
Cited By	265
hIndex(all)	10
hIndex(since 2020)	8
i10Index(all)	10
i10Index(since 2020)	7
Email	Access Email
University Profile Page	Johns Hopkins University
Google Scholar	View Google Scholar Profile

Aurora Schmidt Skills & Research Interests

signal processing

estimation and detection

sensor network coordination

compressed sensing

verification and validation

Top articles of Aurora Schmidt

Title	Journal	Author(s)	Publication Date
MACAIF: Machine Learning Auditing for Clinical AI Fairness		Pepita Barnard John Robert Bautista Joshua Krook Anqi Liu Héctor Menéndez ...	2023/7/11
A Safety Fallback Controller for Improved Collision Avoidance		Daniel Genin Elizabeth Dietrich Yanni Kouskoulas Aurora Schmidt Marin Kobilarov ...	2023/6/6
Searching for explanations: Testing social scientific methods in synthetic ground-truthed worlds	Computational and Mathematical Organization Theory	Aurora C Schmidt Christopher J Cameron Corey Lowman Joshua Brulé Amruta J Deshpande ...	2023/3/1
Envelopes and waves: safe multivehicle collision avoidance for horizontal non-deterministic turns	International Journal on Software Tools for Technology Transfer	Yanni Kouskoulas Thyago J Machado Daniel Genin Aurora Schmidt Ivan Papusha ...	2022/6
Critical Mass and Data Integrity Diagnostics of a Twitter Social Contagion Monitor		Amruta Deshpande Vladimir Barash Clayton Fink Christopher Cameron Aurora Schmidt ...	2022/5/30
Formal Verification of Neural Network Controllers for Collision-Free Flight	Software Verification: 13th International Conference, VSTTE 2021, New Haven, CT, USA, October 18–19, 2021, and 14th International Workshop, NSV 2021, Los Angeles, CA, USA, July 18–19, 2021, Revised Selected Papers	Galen Mullins Yanni Kouskoulas Rosa Wu Aurora Schmidt	2022/2/21
Method and apparatus for monitoring complex contagion and critical mass in online social media			2022/7/7
Good Fences Make Good Neighbors: Using Formally Verified Safe Trajectories to Design a Predictive Geofence Algorithm		Yanni Kouskoulas Rosa Wu Joshua Brulé Daniel Genin Aurora Schmidt ...	2021/5/19
A Twitter social contagion monitor		Vladimir Barash Clayton Fink Christopher Cameron Aurora Schmidt Wei Dong ...	2020/12/7
Incorrect by construction: fine tuning neural networks for guaranteed performance on finite sets of examples	arXiv preprint arXiv:2008.01204	Ivan Papusha Rosa Wu Joshua Brulé Yanni Kouskoulas Daniel Genin ...	2020/8/3