About
We are a group of physicists and enginners 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 (senior 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 (graduate 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 (U Chicago), Mira Littman (UChicago), Aidan Nicholas (Uchicago), Emily Pan (U Chicago), Gauri Pradhan (Fermilab intern), Ricardo Silvestre (CU Boulder), Dahai Wen (JHU), Jieun Yoo (UIC), Albert Zhou (Cornell)
Publications
- Arghya Ranjan Das et al, On-chip probabilistic inference for charged-particle tracking at the sensor edge Submitted to PRX Intelligence
- 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
Recent Talks/Posters
- Danush Shekar, Smartpixels: radiation-hard ASICs with on-chip neural networks in 28 nm 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 28 nm 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 28m ROIC for future pixel trackers, APS April Meeting 2024
- Fermilab workshop on Dec. 12, 2023
- Jennet Dickinson, Rachel Kovach-Fuentes, Lindsey Gray, Morris Swartz, Guiseppe 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
Code
- on smart-pix