Paul Simmerling

Paul Simmerling

Physics Research Assistant

University of Connecticut

Jefferson National Lab

About Me

Paul Simmerling is a graduate from the University of Connecticut (UConn) where he received dual degrees in Electrical Engineering and Physics. His research interests include high-energy physics, the application of deep learning, and the development of novel detector systems.

He is currently a member of Professor Kyungseon Joo’s group at UConn. This work involves nuclear physics analyses with CLAS12 at Jefferson National Lab, and the development of the Electron-Ion Collider at Brookhaven National Lab.

Outside of academics, Paul is an avid hiker, rock climber, and mountain biker.

Download my resumé/CV.

Interests
  • Experimental High-Energy Physics
  • Artificial Intelligence
  • Detector Design & Development
Education
  • B.S. in Physics, 2021

    University of Connecticut

  • B.S.E. in Electrical Engineering, 2021

    University of Connecticut

Relevant Experience

 
 
 
 
 
University of Connecticut
Physics Research Assistant
University of Connecticut
Jan 2019 – Present Storrs, CT

Performing nuclear physics research with CLAS12 at JLab and the EIC at BNL.

Current Projects include:

  • Investigating coherent J/$\psi$ production and deeply virtual Compton scattering at the EIC.
  • Developing new methods for fast event generation with neural networks.
  • Designing deep learning models for improved particle identification at CLAS12.
  • Creating ASIC high-luminosity adaptors for the MicroMegas at CLAS12.
  • Using Geant4 to simulate synchrotron radiation in the EIC’s electron beamline.

Past work:

  • Created a physics-based data analysis procedure to detect the $\phi$ meson from $ep\rightarrow epK^+K^-$ scattering in CLAS12.
  • Improved legacy Java, Python, and C++ codes to be dynamic and multi-threaded. Decreased user-workload by 90%.
  • Characterized the single-photon response in the photomultiplier tubes used on the CLAS12 RICH detector with the CERN ROOT C++ package.
 
 
 
 
 
University of Connecticut
Undergraduate Teaching Assistant
University of Connecticut
Jan 2021 – May 2021 Storrs, CT

Course Catalog Description for ECE 3101: Signals & Systems:

Representation of signals in the time and frequency domains. Fourier series. Fourier and Laplace transform methods for analysis of linear systems. Introduction to state space models. Introduction to sampling and discrete systems analysis via z transforms.

Responsibilities:

  • Led a weekly hour-long discussion where the concepts were reinforced using examples.
  • Held weekly office hours.
  • Created exam solutions and graded student submissions.
  • Taught Matlab basics.
 
 
 
 
 
University of Connecticut
Team Lead (Senior Design)
University of Connecticut
Sep 2020 – May 2021 Storrs, CT

Led a team of 6 students (3 EE, 3 CSE) to design and manufacture a test-bed with passenger vehicle driving dynamics to use a deep neural network for path planning and obstacle avoidance.

Responsibilities:

  • Communication with the sponsor/client, Mitsubishi Electric Research Laboratories.
  • Led bi-weekly meetings and allocated tasks to the other students.
  • Qualified the camera and LIDAR for use with the robot/neural net.
  • Designed the ROS nodes and underlying backend for distributed computing.
  • Developed the software and algorithms used to control the robot.
 
 
 
 
 
DIII-D National Fusion Facility
Nuclear Fusion Research Intern
DIII-D National Fusion Facility
Jun 2019 – Aug 2019 San Diego, CA

Worked in the electron cyclotron heating and current drive (ECH/ECCD) group to carry out performance measurements on the new 3.2 MW Top Launch waveguide. This experience was a part of the Department of Energy (DOE) funded Science Undergraduate Laboratory Internships (SULI) program.

Responsibilities:

  • Measured RF leakages from the DC break and other components in Top Launch and observed how RF power densities changed with injection modes and plasma conditions.
    • Built a teflon water shield to attenuate the RF leakage from the DC break and protect sensitive equipment.
  • Used infrared measurements of the Top Launch beam to characterize the injected Gaussian profile, power realized, and divergence.
  • Quantified the polarization dependence of the calibration load which allowed for purchasing a new load.

Recent Publications

More Publications »

(2021). Detecting the Phi Meson in CLAS12. OpenCommons@UConn.

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(2021). Path Planning with Deep Neural Networks. OpenCommons@UConn.

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(2020). Performance of Components of the DIII-D ECCD Top Launch System. APS Division of Plasma Physics Meeting Abstracts.

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(2020). Status and Plans for the DIII-D ECH/ECCD System. IEEE Transactions on Plasma Science.

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(2019). Performance Measurements on the ECH/ECCD Top Launch System on the DIII-D Tokamak. APS Division of Plasma Physics Meeting Abstracts.

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Notable Skills

Python
Java
C/C++
Linux OS
Altium & Circuit Design
Microcontrollers