Bogdan Penkovsky

Computer Science · Physical Sciences

8h-index1.1kcitations24works0.02yr avg
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Research Topics

Neural Networks and Reservoir Computing(14), Advanced Memory and Neural Computing(12), Ferroelectric and Negative Capacitance Devices(8), Optical Network Technologies(5), Neural Networks and Applications(4)

Publications24 total

Exploring polymer classification with a hybrid single-photon quantum approach
arXiv (Cornell University)·2025Open Access
Exploring polymer classification with a hybrid single-photon quantum approach
ArXiv.org·2025Open Access
Experimental evaluation of digitally verifiable photonic computing for blockchain and cryptocurrency
Optica·2023· 27 citedOpen Access
Photonic Quantum Computing For Polymer Classification
arXiv (Cornell University)·2022Open Access
Experimental evaluation of digitally-verifiable photonic computing for blockchain and cryptocurrency
arXiv (Cornell University)·2022· 5 citedOpen Access
Hardware-Efficient Stochastic Binary CNN Architectures for Near-Sensor Computing
Frontiers in Neuroscience·2022· 6 citedOpen Access
LightHash: Experimental Evaluation of a Photonic Cryptocurrency
Conference on Lasers and Electro-Optics·2022· 2 cited
Reservoir computing with biocompatible organic electrochemical networks for brain-inspired biosignal classification
Science Advances·2021· 163 citedOpen Access
Wavelength-Division Multiplexed Optical Cryptocurrency
Conference on Lasers and Electro-Optics·2021Open Access
In-Memory Resistive RAM Implementation of Binarized Neural Networks for\n Medical Applications
arXiv (Cornell University)·2020Open Access
In-Memory Resistive RAM Implementation of Binarized Neural Networks for Medical Applications
2020Open Access
Digital Biologically Plausible Implementation of Binarized Neural Networks With Differential Hafnium Oxide Resistive Memory Arrays
Frontiers in Neuroscience·2020· 5 citedOpen Access
Optical Proof of Work
arXiv (Cornell University)·2019Open Access
Implementing Binarized Neural Networks with Magnetoresistive RAM without\n Error Correction
arXiv (Cornell University)·2019Open Access
Digital Biologically Plausible Implementation of Binarized Neural\n Networks with Differential Hafnium Oxide Resistive Memory Arrays
arXiv (Cornell University)·2019Open Access
Stochastic Computing for Hardware Implementation of Binarized Neural Networks
arXiv (Cornell University)·2019Open Access
Stochastic Computing for Hardware Implementation of Binarized Neural Networks
IEEE Access·2019· 44 citedOpen Access
Tutorial: Photonic neural networks in delay systems
Journal of Applied Physics·2018· 161 citedOpen Access
Two-dimensional spatiotemporal complexity in dual-delayed nonlinear feedback systems: Chimeras and dissipative solitons
Chaos An Interdisciplinary Journal of Nonlinear Science·2018· 30 citedOpen Access
Efficient Design of Hardware-Enabled Recurrent Neural Networks.
arXiv (Cornell University)·2018Open Access
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Frequent Co-authors

Damien Querlioz(8), Tifenn Hirtzlin(7), Jacques‐Olivier Klein(7), Jean‐Michel Portal(6), Laurent Larger(5), Michael Dubrovsky(5), Yuri Maistrenko(4), M. Bocquet(4), Sunil Pai(4), Marshall Ball(4), Nathnael Abebe(4), Olav Solgaard(4), David A. B. Miller(4), E. Nowak(4), Elisa Vianello(4), Daniel Brunner(3), Tae‐Won Park(3), Maziyar Milanizadeh(3), Francesco Morichetti(3), Andrea Melloni(3)