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Recent Talks/Posters

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

Publications

Jieun Yoo et al, Smart pixel sensors: towards on-sensor filtering of pixel clusters with deep learning Mach. Learn.: Sci. Technol. 5 035047
B. 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

Current members

Cornell University Jennet Dickinson (professor), Ben Weiss (grad student), Albert Zhou (undergrad 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), Dahai Wen (undergrad student)
Oak Ridge National Laboratory: Shruti R. Kulkarni, Aaron Young
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), Eliza Howard (grad student), Daniel Abadjiev (grad student), Mira Littmann (undergrad student), Aidan Nicholas (undergrad student), Eric You (undergrad student)
University of Colorado Boulder: Keith Ulmer (professor), Jannicke Pearkes (postdoc), Ricardo Silvestre (undergrad student)
University of Illinois Chicago: Corrinne Mills (professor), Danush Shekar (grad student), Mohammad Abrar Wadud (postdoc), Jieun Yoo (grad student)
University of Illinois Urbana-Champaign: Mark S. Neubauer (professor), David Jiang (grad student)
University of Kansas: Alice Bean (professor)

Former members & alumni

Gauri Pradhan (Fermilab intern), Rachel Kovach-Fuentes (UChicago Metcalf intern), Manuel Blanco Valentin (Northwestern), Carissa Kumar (U Chicago post-bacc), Emily Pan (U Chicago undergrad)

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