Houxuan Guo, Manuel Blanco Valentín, Xiuyuan He, Seda Ogrenci (2025). "Toward Reconfigurable In-Pixel Computing: A Fault-Tolerant Design Flow for Machine Learning Accelerators." 2025 IEEE 33rd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM). 261–267.
Danush Shekar, Ben Weiss, Morris Swartz, Corrinne Mills, Jennet Dickinson, Lindsey Gray, David Jiang, Mohammad Abrar Wadud, Daniel Abadjiev, Anthony Badea, others (2025). "Sensor Co-design for smartpixels." arXiv preprint arXiv:2510.06588.
Jan-Frederik Schulte, Benjamin Ramhorst, Chang Sun, Jovan Mitrevski, Nicolò Ghielmetti, Enrico Lupi, Dimitrios Danopoulos, Vladimir Loncar, Javier Duarte, David Burnette, others (2025). "hls4ml: A flexible, open-source platform for deep learning acceleration on reconfigurable hardware." ACM Transactions on Reconfigurable Technology and Systems.
Jan-Frederik Schulte, Ho Fung Tsoi, Noah Paladino, Abhijith Gandrakota, Sioni Summers, Daniel Diaz, Javier Campos, Enrico Lupi, Philip Harris, Christian Herwig, others (2025). "arXiv: hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware."
Davide Braga, Suyash P Tripathi, Farah Fahim, Manuel B Valentin, Paul Rubinov, Robert F McDermott, John M Martinis, Lou Dal Monte (2025). "An Ultra-Low-Voltage, 16-Channel Current DAC ASIC in 22nm FDSOI for cryogenic SQUID Biasing." SMT 2025.
Benjamin Parpillon, Chinar Syal, Jieun Yoo, M Swartz, G Di Guglielmo, A Bean, D Berry, M Blanco Valentin, K DiPetrillo, A Badea, others (2024). "Smart Pixels: In-pixel AI for on-sensor data filtering." 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD). 1–2.
Carissa Kumar, Emily Pan, Karri Dipetrillo, Anthony Badea, Jennet Dickinson, Jieun Yoo, Morris Swartz, Giuseppe Di Guglielmo, Alice Bean, Douglas Berry, others (2024). "Smart Pixels: Algorithm design and hardware testing for a 28m ROIC for future pixel trackers." APS April Meeting Abstracts. 2024, F14–005.
Jieun Yoo, Jennet Dickinson, Morris Swartz, Giuseppe Di Guglielmo, Alice Bean, Douglas Berry, Manuel Blanco Valentin, Karri DiPetrillo, Farah Fahim, Lindsey Gray, others (2024). "Smart pixel sensors: towards on-sensor filtering of pixel clusters with deep learning." Machine Learning: Science and Technology. 5(3), 035047.
Benjamin Parpillon, Anthony Badea, Chinar Syal, Corrinne Mills, Douglas Berry, Farah Fahim, Giuseppe Di Guglielmo, Jennet Dickinson, Jieun Yoo, Jim Hirschauer, others (2024). "Radiation-Hard Smart-Pixel Detector ASIC ReadOut with Digital AI in 28nm." Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States).
Jennet Dickinson, Rachel Kovach-Fuentes, Lindsey Gray, Morris Swartz, Giuseppe Di Guglielmo, Alice Bean, Doug Berry, Manuel Blanco Valentin, Karri DiPetrillo, Farah Fahim, others (2023). "Smartpixels: Towards on-sensor inference of charged particle track parameters and uncertainties." arXiv preprint arXiv:2312.11676.
A Baris Ozguler, Giuseppe Di Guglielmo, Manuel Blanco Valentín, David Xu, Nhan Tran, Gabriel Perdue, Luca Carloni, Farah Fahim (2023). "Neural network accelerator for universal quantum control." APS March Meeting Abstracts. 2023, F71–006.
Manuel B Valentin, Giuseppe Di Guglielmo, Danny Noonan, Priyanka Dilip, Panpan Huang, Adam Quinn, Thomas Zimmerman, Davide Braga, Seda Ogrenci, Chris Jacobsen, others (2023). "In-pixel AI for lossy data compression at source for X-ray detectors." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 1057, 168665.
Adam Quinn, Manuel B Valentin, Thomas Zimmerman, Davide Braga, Seda Memik, Farah Fahim (2023). "A cryogenic readout ic with 100 ksps in-pixel adc for skipper ccd-in-cmos sensors." 2023 IEEE International Symposium on Circuits and Systems (ISCAS). 1–5.
CR Bom, Bernardo Machado de Oliveira Fraga, Luciana Olivia Dias, Patrick Schubert, M Blanco Valentin, Cristina Furlanetto, Martín Makler, K Teles, M Portes de Albuquerque, R Benton Metcalf (2022). "Developing a victorious strategy to the second strong gravitational lensing data challenge." Monthly Notices of the Royal Astronomical Society. 515(4), 5121–5134.
Farah Fahim, Benjamin Hawks, Christian Herwig, James Hirschauer, Sergo Jindariani, Nhan Tran, Luca P Carloni, Giuseppe Di Guglielmo, Philip Harris, Jeffrey Krupa, others (2021). "John Mamish." Seda Orgrenci-Memik, Thea Aarrestad, Hamza Javed, Vladimir Loncar, Maurizio Pierini, Adrian Alan Pol, Sioni Summers, Javier Duarte, Scott Hauck, Shih-Chieh Hsu, Jennifer Ngadiuba, Mia Liu, Duc Hoang, Edward Kreinar, and Zhenbin Wu.
Farah Fahim, Benjamin Hawks, Christian Herwig, James Hirschauer, Sergo Jindariani, Nhan Tran, Luca P Carloni, Giuseppe Di Guglielmo, Philip Harris, Jeffrey Krupa, others (2021). "hls4ml: An open-source codesign workflow to empower scientific low-power machine learning devices." arXiv preprint arXiv:2103.05579.
F Fahim, B Hawks, C Herwig, J Hirschauer, S Jindariani, N Tran, LP Carloni, G Di Guglielmo, P Harris, J Krupa, others (2021). "hls4ml: An open-source codesign workflow to empower scientific low-power machine learning devices. arXiv." arXiv preprint arXiv:2103.05579.
Clecio R Bom, Manuel Blanco Valentin, Bernardo MO Fraga, Jorge Campos, Bernardo Coutinho, Luciana O Dias, Elisangela L Faria, Marcio P de Albuquerque, Marcelo P de Albuquerque, Maury Duarte Correia (2021). "Bayesian deep networks for absolute permeability and porosity uncertainty prediction from image borehole logs from Brazilian carbonate reservoirs." Journal of Petroleum Science and Engineering. 201, 108361.
Farah Fahim, James Hirschauer, Yingyi Luo, Christian Herwig, Sioni Summers, Philip Harris, Jeffrey Krupa, Duc Hoang, Edward Kreinar, Maurizio Pierini, others (2021). "arXiv: hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices."
Giuseppe Di Guglielmo, Farah Fahim, Christian Herwig, Manuel Blanco Valentin, Javier Duarte, Cristian Gingu, Philip Harris, James Hirschauer, Martin Kwok, Vladimir Loncar, others (2021). "A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC." IEEE Transactions on Nuclear Science. 68(8), 2179–2186.
A Quinn, MB Valentin, T Zimmerman, D Braga, S Li, S Memik, F Fahim (2021). "A Cryogenic Readout IC with 100 KSPS in-Pixel ADC for Skipper CCD-in-CMOS Sensors [Poster]." Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States).
Manuel B Valentin (2020). "Dynamic Table: An easy and user-friendly way to display dynamic data in Python." https://github.com/manuelblancovalentin/DynamicTable.
Luciana Olivia Dias, Clécio R Bom, Elisangela L Faria, Manuel Blanco Valentín, Maury Duarte Correia, Márcio P De Albuquerque, Marcelo P De Albuquerque, Juliana M Coelho (2020). "Automatic detection of fractures and breakouts patterns in acoustic borehole image logs using fast-region convolutional neural networks." Journal of Petroleum Science and Engineering. 191, 107099.
Marcelo P. Albuquerque, Manuel Blanco Valentín, C.R. De Bom, Elisângela L. Faria, Marcio Albuquerque, Maury Correia, Luciana Dias (2019). "Método de Detecção e Caracterização Automática de Breakouts a partir de Imagens de Poços Reservatórios."
R Benton Metcalf, M Meneghetti, Camille Avestruz, Fabio Bellagamba, Clécio R Bom, Emmanuel Bertin, Rémi Cabanac, F Courbin, Andrew Davies, Etienne Decencière, others (2019). "The strong gravitational lens finding challenge." Astronomy & Astrophysics. 625, A119.
CR Bom, J Poh, B Nord, M Blanco-Valentin, LO Dias (2019). "Search for an Exotic S=-2, Q=-2 Baryon Resonance in Proton-Proton Interactions at sqrt s_ NN = 17.3 GeV." Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States).
Clecio Bom, Jason Poh, Brian Nord, Manuel Blanco-Valentin, Luciana Dias (2019). "Deep learning in wide-field surveys: Fast analysis of strong lenses in ground-based cosmic experiments." arXiv preprint arXiv:1911.06341.
Manuel Blanco Valentín, Clécio R Bom, Juliana M Coelho, Maury Duarte Correia, Márcio P De Albuquerque, Marcelo P de Albuquerque, Elisângela L Faria (2019). "A deep residual convolutional neural network for automatic lithological facies identification in Brazilian pre-salt oilfield wellbore image logs." Journal of Petroleum Science and Engineering. 179, 474–503.
M Valentín, C de Bom, M de Albuquerque, ECorreia M Faria (2018). "Ultrasound image acquisition as a didactic tool." Revista Brasileira de Ensino de Física. 40(2).
Manuel Blanco Valentin, Márcio Portes de Albuquerque, Marcelo Portes de Albuquerque, Elisângela L Farias, Clécio Roque De Bom, Maury Duarte Correia, Yann Le Guével (2018). "Porous medium permeability estimation for well imagery and characterization using complex resistivity spectra." NOTAS TÉCNICAS. 8(1).
Manuel Blanco Valentın, Márcio P de Albuquerque, Marcelo P de Albuquerque, Elisângela L Faria, Yann Le Guével, Clécio Roque de Bom, Maury D Correia (2018). "Notas Técnicas CBPF-NT-002/18 fevereiro 2018."
Manuel Blanco Valentin, Clecio R Bom, André Luiz Martins Compan, Maury Duarte Correia, Candida Menezes de Jesus, Anelise de Lima Souza, Marcio P de Albuquerque, Marcelo P de Albuquerque, Elisangela L Faria (2018). "Estimation of permeability and effective porosity logs using deep autoencoders in borehole image logs from the Brazilian pre-salt carbonate." Journal of Petroleum Science and Engineering. 170, 315–330.
Blanco-Valentin, Manuel (2018). "Deep learning methods on geological reservoir borehole log images and applications." Centro Brasileiro de Pesquisas Físicas.
Manuel Blanco Valentín, Clécio R de Bom, Márcio P de Albuquerque, Marcelo P de Albuquerque, Elisângela L Faria, Maury D Correia (2018). "Aquisição de imagens ultrassônicas como experimento didático." Revista Brasileira de Ensino de Física. 40(2), e2503.
Manuel Blanco Valentin, Clécio Roque de Bom, Márcio P de Albuquerque, Marcelo P de Albuquerque, Elisângela L Faria, Maury D Correia (2016). "Texture classification based on spectral analysis and haralick features." Notas Técnicas. 6(1).
Manuel Blanco Valentin, Clecio Roque De Bom, Marcio Portes de Albuquerque, Marcelo Portes de Albuquerque, Elisangela Faria, Maury Duarte Correia, Rodrigo Surmas (2016). "Rock Texture Classification Using Spectral Analysis And Genetically Optimized Texture Features." Computer Vision and Pattern Recognition (CVPR).
Manuel Blanco Valentin, Clecio Roque De Bom, Marcio Portes de Albuquerque, Marcelo Portes de Albuquerque, Elisangela Faria, Maury Duarte Correia, Rodrigo Surmas (2016). "On a method for Rock Classification using Textural Features and Genetic Optimization." arXiv e-prints. arXiv–1607.
Manuel Blanco Valentín (2014). "Desarrollo del sistema electrónico de control de navegación de un barco remolcador a escala." Universitat Politècnica de Catalunya. Escola Universitària d'Enginyeria ….
Farah Fahim (1900). "AI-in-Pixel: Data compression at source."
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA