Pixellated readout IC: Analysis for single photon infrared detector for fast time of arrival applications. - Farah Fahim; Vala Fathipouri; Grzegorz Deptuch; Hooman Mohseni (ISCAS, 2015)

An Algorithm of an X-ray Hit Allocation to a Single Pixel in a Cluster and Its Test-Circuit Implementation. - Grzegorz Deptuch; Farah Fahim; Pawel Grybos; Jim Hoff; Scott Holm; Piotr Maj; David Peter Siddons; Piotr Kmon; Marcel Trimpl; Tom Zimmerman 002 (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

Dynamically Reconfigurable Data Readout of Pixel Detectors for Automatic Synchronization with Data Acquisition Systems. - Farah Fahim; Simone Bianconi; Jacob Rabinowitz; Siddhartha Joshi; Hooman Mohseni (Sensors, 2020)

A Low-Power, High-Speed Readout for Pixel Detectors Based on an Arbitration Tree. - Farah Fahim; Siddhartha Joshi; Seda Ogrenci-Memik; Hooman Mohseni (IEEE Trans. Very Large Scale Integr. Syst., 2020)

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices. - Farah Fahim; Benjamin Hawks; Christian Herwig; James Hirschauer; Sergo Jindariani; Nhan Tran; Luca P. Carloni; Giuseppe Di Guglielmo; Philip C. Harris; Jeffrey D. Krupa; Dylan S. Rankin; Manuel Blanco Valentin; et al. (CoRR, 2021)

A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC. - Giuseppe Di Guglielmo; Farah Fahim; Christian Herwig; Manuel Blanco Valentin; Javier M. Duarte; Cristian Gingu; Philip C. Harris; James Hirschauer; Martin Kwok; Vladimir Loncar; Yingyi Luo; Llovizna Miranda; et al. (CoRR, 2021)

Applications and Techniques for Fast Machine Learning in Science. - Allison McCarn Deiana; Nhan Tran; Joshua Agar; Michaela Blott; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Scott Hauck; Mia Liu; Mark S. Neubauer; Jennifer Ngadiuba; Seda Ogrenci Memik; et al. (CoRR, 2021)

Neural network accelerator for quantum control. - David Xu 008; A. Baris Özgüler; Giuseppe Di Guglielmo; Nhan Tran; Gabriel N. Perdue; Luca P. Carloni; Farah Fahim (CoRR, 2022)

Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning. - Shamma Nasrin; Maeesha Binte Hashem; Nastaran Darabi; Benjamin Parpillon; Farah Fahim; Wilfred Gomes; Amit Ranjan Trivedi (AICAS, 2023)

On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. - Shruti R. Kulkarni; Aaron R. Young; Prasanna Date; Narasinga Rao Miniskar; Jeffrey S. Vetter; Farah Fahim; Benjamin Parpillon; Jennet Dickinson; Nhan Tran; Jieun Yoo; Corrinne Mills; Morris Swartz; et al. (ICONS, 2023)

A 3D Implementation of Convolutional Neural Network for Fast Inference. - Narasinga Rao Miniskar; Pruek Vanna-Iampikul; Aaron R. Young; Sung Kyu Lim; Frank Liu 001; Jieun Yoo; Corrinne Mills; Nhan Tran; Farah Fahim; Jeffrey S. Vetter (ISCAS, 2023)

Readout IC with 40 MSPS in-pixel ADC for future vertex detector upgrades of Large Hadron Collider. - Benjamin Parpillon; Amit Ranjan Trivedi; Farah Fahim (ISCAS, 2023)

A Cryogenic Readout IC with 100 KSPS in-Pixel ADC for Skipper CCD-in-CMOS Sensors. - Adam Quinn; Manuel Blanco Valentin; Thomas Zimmerman 002; Davide Braga; Seda Ogrenci Memik; Farah Fahim (ISCAS, 2023)

A Sub-Electron-Noise Multi-Channel Cryogenic Skipper-CCD Readout ASIC. - Fabricio Alcalde Bessia; Troy D. England; Hongzhi Sun; Leandro Stefanazzi; Davide Braga; Miguel Sofo Haro; Shaorui Li; Juan Estrada; Farah Fahim (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials. - Jeffrey S. Vetter; Prasanna Date; Farah Fahim; Shruti R. Kulkarni; Petro Maksymovych; A. Alec Talin; Marc González Tallada; Pruek Vanna-Iampikul; Aaron R. Young; David Brooks 001; Yu Cao 001; Gu-Yeon Wei; et al. (Int. J. High Perform. Comput. Appl., 2023)

How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits. - Masoud Mohseni; Artur Scherer; K. Grace Johnson; Oded Wertheim; Matthew Otten; Navid Anjum Aadit; Yuri Alexeev; Kirk M. Bresniker; Kerem Yunus Çamsari; Barbara Chapman; Soumitra Chatterjee; Gebremedhin A. Dagnew; et al. (CoRR, 2024)

Smart pixel sensors: towards on-sensor filtering of pixel clusters with deep learning. - Jieun Yoo; Jennet Dickinson; Morris Swartz; Giuseppe Di Guglielmo; Alice Bean; Douglas Berry; Manuel Blanco Valentin; Karri Dipetrillo; Farah Fahim; Lindsey Gray; James Hirschauer; Shruti R. Kulkarni; et al. (Mach. Learn. Sci. Technol., 2024)

From Signals to Features to Insights: Multi-Level Novelty Detection for Fast Scientific Discovery. - Devashri Naik; Nastaran Darabi; Sina Tayebati; Dinithi Jayasuriya; Shamma Nasrin; Danush Shekar; Corrinne Mills; Benjamin Parpillon; Farah Fahim; Mark S. Neubauer; Amit Ranjan Trivedi (VTS, 2025)

End-to-end workflow for machine learning-based qubit readout with QICK and hls4ml. - Giuseppe Di Guglielmo; Botao Du; Javier Campos; Alexandra Boltasseva; Akash V. Dixit; Farah Fahim; Zhaxylyk Kudyshev; Santiago Lopez; Ruichao Ma; Gabriel N. Perdue; Nhan Tran; Omer Yesilyurt; et al. (CoRR, 2025)

Machine learning for arbitrary single-qubit rotations on an embedded device. - Madhav Narayan Bhat; Marco Russo; Luca P. Carloni; Giuseppe Di Guglielmo; Farah Fahim; Andy C. Y. Li; Gabriel N. Perdue (Quantum Mach. Intell., 2025)