smartpixels

About

We are a group of physicists and engineers designing, building, and testing silicon tracking detectors with embedded intelligence for future high energy physics experiments.

Current members

• Cornell University: Jennet Dickinson (professor), Ben Weiss (grad student)
• Fermi National Accelerator Laboratory: Douglas Berry (scientist), Giuseppe Di Guglielmo (principal engineer), Farah Fahim, Abhijith Gandrakota (postdoc), Lindsey Gray (scientist), James Hirschauer (scientist), Ron Lipton (scientist), Benjamin Parpillon, Chinar Syal, Nhan Tran (scientist)
• Johns Hopkins University: Petar Maksimovic (professor), Morris Swartz (professor)
• Northeastern University: Nick Manganelli (postdoc)
• Purdue University: Miaoyuan Liu (professor), Arghya Ranjan Das (grad student), Shiqi Kuang (grad student)
• University of Chicago: Karri DiPetrillo (professor), Anthony Badea (Schmidt AI in Science postdoctoral fellow), Benjamin Roberts (postdoc), Eliza Howard (grad student), Daniel Abadjiev (grad student), Eric You (undergrad student)
• University of Colorado Boulder: Keith Ulmer (professor), Jannicke Pearkes (postdoc)
• University of Illinois Chicago: Corrinne Mills (professor), Harshul Gupta (grad student), Danush Shekar (grad student), Amit Trivedi (professor), Mohammad Abrar Wadud (postdoc)
• University of Illinois Urbana-Champaign: Mark S. Neubauer (professor), David Jiang (grad student)

Former members & alumni

• Manuel Blanco Valentin (Northwestern), Gauri Pradhan (Fermilab intern), Rachel Kovach-Fuentes (UChicago Metcalf intern), Carissa Kumar (UChicago), Mira Littman (UChicago), Aidan Nicholas (UChicago), Emily Pan (UChicago), Ricardo Silvestre (CU Boulder), Dahai Wen (JHU), Jieun Yoo (UIC), Albert Zhou (Cornell)

Publications

• Benjamin Parpillon et al., In-pixel integration of signal processing and AI/ML based data filtering for particle tracking detectors , Submitted to IEEE TNS
• Arghya Ranjan Das et al., On-chip probabilistic inference for charged-particle tracking at the sensor edge Submitted to PRX Intelligence
• Danush Shekar et al., Robustness of the smartpixels classifier for different simulated sensor geometries and non-ideal detector conditions NIM-A, 2026
• Jieun Yoo et al., Smart pixel sensors: towards on-sensor filtering of pixel clusters with deep learning Mach. Learn.: Sci. Technol. 5 035047
• Benjamin Parpillon, A. R. Trivedi and F. Fahim, "Readout IC with 40 MSPS in-pixel ADC for future vertex detector upgrades of Large Hadron Collider," 2023 IEEE International Symposium on Circuits and Systems (ISCAS), Monterey, CA, USA, 2023, pp. 1-5, doi: 10.1109/ISCAS46773.2023.10182033.
• Shruti R. Kulkarni et al., "On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments", ICONS 23 Proceedings of the 2023 International Conference on Neuromorphic Systems, Aug. 2023, https://doi.org/10.1145/3589737.3605976
• Narasinga Rao Miniskar et al., "A 3D Implementation of Convolutional Neural Network for Fast Inference", 2023 IEEE International Symposium on Circuits and Systems (ISCAS)

Other

• Benjamin Parpillon et al., Smart Pixels: In-pixel AI for on-sensor data filtering , arXiv, 2024
• J. Dickinson et al., Smartpixels: Towards on-sensor inference of charged particle track parameters and uncertainties , arXiv, 2023

Recent Talks/Posters

• Danush Shekar, Smartpixels: radiation-hard ASICs with on-chip neural networks in 28nm CMOS, TIPP 2026, Feb 2026
• Danush Shekar, AI on ASICs: Smartpixels, EPIGRAPHY 2026, Jan 2026
• Jennet Dickinson, On-sensor regression of particle kinematics, CPAD 2025, Oct 2025
• Danush Shekar, Smartpixels: Developing ASICs for high-energy particle detectors with on-chip neural networks in 28nm CMOS, CPAD 2025, Oct 2025
• Benjamin Weiss and Jannicke Pearkes, Smartpixels: Intelligent pixel detectors: Towards a radiation hard ASIC with on-chip machine learning in 28nm CMOS, Fast Machine Learning for Science Conference 2025, Sept. 2025
• Jennet Dickinson, Smartpixels HFCC Monthly Meeting, June 2025
• Danush Shekar, Sensor co-design for Smartpixels, CPAD 2024, Nov 2024
• Corrinne Mills, Smart Pixels: Towards radiation hard ASIC with on-chip machine learning in 28nm CMOS, CPAD 2024, Nov 2024
• David Jiang, Smart Pixels: A Machine Learning Approach Towards Data Reduction in Next-Generation Particle Detectors, Poster presented at Fast Machine Learning for Science Conference 2024, Oct. 2024
• Jieun Yoo, Smart Pixels: Towards radiation hard ASIC with on-chip machine learning in 28nm CMOS, Fast Machine Learning for Science Conference 2024, Oct. 2024
• Benjamin Parpillon, Radiation-Hard Smart-Pixel Detector ASIC ReadOut with Digital AI in 28nm, poster presented at TWEPP 2024, Oct. 2024
• Jannicke Pearkes, Smartpixels with data reduction at the source, NGT workshop: hls4ml HEP Community Forum, Sept. 2024
• Jieun Yoo, Smart pixel sensors for the HL-LHC US Korea Conference (UKC) 2024, Aug. 2024
• Anthony Badea, Intelligent pixel detectors: towards a radiation hard ASIC with on-chip machine learning in 28nm CMOS, ICHEP, July 2024
• Jieun Yoo, Abhijith Gandrakota, Lindsey Gray, Morris Swartz, et al., Smart Pixel Sensors for the HL-LHC, New Perspectives, July 2024
• Carissa N. Kumar, Smart Pixels: Algorithm design and hardware testing for a 28nm ROIC for future pixel trackers, APS April Meeting 2024
• Fermilab workshop on Dec. 12, 2023
• Jennet Dickinson, Rachel Kovach-Fuentes, Lindsey Gray, Morris Swartz, Giuseppe Di Guglielmo et al., Smartpixels: Towards on-sensor inference of charged particle track parameters and uncertainties Poster presented at NeurIPS 2023 Workshop: Machine Learning and the Physical Sciences, Dec. 2023
• Benjamin Parpillon, Readout IC R&D for future Phase III High Luminosity Upgrade of the LHC, CPAD Workshop, Nov. 2023
• Jieun Yoo, Front-end neural network filtering implemented in a silicon pixel detector, CPAD Workshop, Nov. 2023
• Giuseppe Di Guglielmo, Smart pixel sensors: towards on-sensor filtering of pixel clusters with deep learning, Fast Machine Learning for Science @ ICCAD, Nov. 2023
• Shruti R. Kulkarni, Neuromorphic Computing for On-Sensor Data Filtering on Smart-Pixels, Fast Machine Learning for Science, Sept. 2023
• Rachel Kovach-Fuentes, Smartpixels: on-pixel featurization for single layer silicon tracking, Fast Machine Learning for Science, Sept. 2023
• Jennet Dickinson, Smart pixels with data reduction at source, Third MODE Workshop on Differentiable Programming for Experiment Design, July 2023
• Jennet Dickinson and Lindsey Gray, Smart pixels for single-silicon-layer tracking with ML, International Workshop on Linear Colliders, May 2023
• Jennet Dickinson, On-chip intelligence and real-time data-processing, P5 Town Hall Meeting, April 2023
• Jennet Dickinson, Smart pixels with data reduction at source, CPAD Workshop 2022

Data on Zenodo

• Smart pixel dataset
• Smartpixels co-design datasets
• Smartpixels 16x16 datasets

Code

• on smart-pix