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 …
Smart pixel sensor filtering with deep learning
Highly granular pixel detectors allow for increasingly precise measurements of charged particle tracks. Next-generation detectors require that pixel sizes will be further reduced, …
Jieun Yoo
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
Graph Neural Networks for Particle Tracking on FPGAs
The determination of charged particle trajectories in collisions at the CERN Large Hadron Collider (LHC) is an important but challenging problem, especially in the high interaction …
Abdelrahman Elabd
Higgs Boson Discovery
A search for the Standard Model Higgs boson in proton-proton collisions with the ATLAS detector at the LHC is presented. The datasets used correspond to integrated luminosities of …
Atlas Collaboration
Solution to the Solar Neutrino Problem
Solar neutrinos from the decay of $^8$B have been detected at the Sudbury Neutrino Observatory (SNO) via the charged current (CC) reaction on deuterium and by the elastic …
Sudbury Neurtrino Observatory Collaboration
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