Artificial Intelligence
AI research overview
Mark Neubauer
University of Illinois at Urbana-Champaign
Department of Electrical and Computer Engineering
About Me
I am a professor at the University of Illinois. My research is highly interdisciplinary at the intersection of particle physics, AI/ML, and quantum, aiming to understand the universe at its fundamental level and to accelerate scientific discovery through innovation.
Education
PhD in Physics
University of Pennsylvania
1994-09-01 – 2001-06-01
Bachelor of Science in Physics
Kutztown University
1990-09-01 – 1994-06-01
Interests
- High Energy Physics
- Particle Astrophysics
- Artificial Intelligence
- Quantum Machine Learning
- Microelectronics
- Novel Compute Paradigms
Research Areas
Featured Publications
Observation of vector boson scattering
This paper reports the observation of electroweak diboson ($WW/WZ/ZZ$) production in association with a high-mass dijet system, in which final states with one boson decaying …
Atlas Collaboration
Evidential DL for Uncertainties and Anomaly Detection
Current methods commonly used for uncertainty quantification (UQ) in deep learning (DL) models utilize Bayesian methods which are computationally expensive and time-consuming. In …
Explainability of Deep Neural Networks in top quark tagging
Recent developments in the methods of explainable AI (XAI) allow researchers to explore the inner workings of deep neural networks (DNNs), revealing crucial information about …
Fast Machine Learning for Science
In this community review report, we discuss applications and techniques for fast machine learning (ML) in science—the concept of integrating powerful ML methods into the real-time …
Allison Mccarn Deiana
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