Faculty

Institution

Unit

Venue

Bibhudatta Sahoo

Professor

University at Buffalo

Affiliations

School of Engineering and Applied Sciences

Department of Electrical Engineering

Bibhudatta Sahoo is currently serving as an Electrical Engineering Professor at University At Buffalo.

Honors

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Experiences

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Education

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Bibhudatta Sahoo

University at Buffalo

Professor

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electrical engineering power electronics engineering digital signal processing electronics systems engineering signal processing machine learning deep learning microelectronics computer engineering vlsi technology analog design audio signal processing analog-to-digital converters semiconductors field programmable gate array microwave technology solid-state electronics low-power electronics circuit design analytical instrumentation instrumentation engineering industrial electronics switched-capacitor converters time-domain modeling integrated circuits wireless sensor networks vlsi circuit manufacturing technology electronic packaging microwave engineering noise reduction electronic circuits vlsi design cognitive radio vlsi architecture wireless lan eeg signal processing semiconductor devices semiconductor technology ion beam instrumentation sparse neural network embedded machine learning convolutional neural networks benchmark studies electronic engineering advanced packaging (semiconductors) component technology radio frequency medical electronics emerging memory technologies low noise amplifier real-valued fft architectures low-throughput applications time-interleaved adcs bandwidth mismatch closed-form expression neural network reference scaling technique temperature dependence binary input image multi-band pll split-sar adc optimum redundancy performance limits bio-inspired computation neuromorphic engineering analog behavioral modeling communication circuit

Notable Scholarly Works

Notable Federal Grants

Collaborators

Closed Form Expression of Input Matching of a Wideband Single-Ended to Differential Lna. (2024)

Sanchari DasBibhu Datta Sahoo

computer sciencenanotechnologyclosed form expressiondifferential lnainput matching

Mefet-Based Cam/Tcam for Memory-Augmented Neural Networks. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits (2024)

Sai SanjeetJonathan BirdBibhu Datta Sahoo

neural engineeringcomputer sciencemachine learningembedded systemscomputer engineeringemerging memory technologiesmemory-augmented neural networkselectrical engineering

SPIKEPIPE: Accelerated Training of Spiking Neural Networks via Inter-Layer Pipelining and Multiprocessor Scheduling. IEEE transactions on circuits and systems for artificial intelligence. (2024)

Sai SanjeetBibhu Datta SahooKeshab K. Parhi

deep learningcomputer sciencemachine learningneural networksaccelerated trainingmultiprocessor schedulinginter-layer pipelining

A Low Power Cyclic Adc Architecture Using Reference Scaling Technique. (2023)

Kousik DasSenorita DebBibhu Datta Sahoo

neuroimagingreference scaling techniqueelectrical engineering

An Extended Range Divider Technique for Multi-Band Pll. Journal of low power electronics and applications (2023)

Rizwan Shaik PeerlaAshudeb DuttaBibhu Datta Sahoo

power electronicselectronicsmulti-band pllmicroelectronicsapplied physicslow-power electronicselectrical engineering

Energy-Efficient Fpga Implementation of Power-Of-2 Weights-Based Convolutional Neural Networks With Low Bit-Precision Input Images. IEEE transactions on circuits and systems. II, Express briefs (2023)

Sai SanjeetBibhu Datta SahooMasahiro Fujita

deep learningpower electronicsembedded machine learningelectronicsmachine learningcomputer engineeringsystems engineeringenergy efficiencycomputer visionfield programmable gate arrayindustrial electronicselectrical engineering

Generalized Sampling-Based Multi-Channel Sampling of Signals Realized With Pure Delay Analog Filters and Digital Fir Reconstruction Filters. IEEE transactions on circuits and systems. II, Express briefs (2023)

Bibhu Datta SahooGabriele Manganaro

audio signal processingpower electronicsengineeringelectronicsdigital signal processingoptoelectronicselectronic engineeringsignal processingmicroelectronicsindustrial electronicsbiomedical engineeringelectrical engineering

Iir Filter-Based Spiking Neural Network. 2022 IEEE International Symposium on Circuits and Systems (ISCAS) (2023)

Sai SanjeetRahul K. MeenaBibhu Datta SahooKeshab K. ParhiMasahiro Fujita

deep learningcomputer sciencemachine learningsparse neural networkneural network

Johnson Counter-Based Multiphase Generation for Vco-Based Adc for Direct Digitization of Low Amplitude Sensor Signals. IEEE transactions on instrumentation and measurement (2023)

Shruti KonwarBibhu Datta Sahoo

optoelectronicsdigital signal processingsignal processingmedical electronicsmicroelectronicsvlsi technologyaudio signal processingpower electronicsinstrumentation engineeringelectronicsdirect digitizationsolid-state electronicselectrical engineeringanalytical instrumentationmaterials sciencemicrowave technologyinstrumentationsystems engineeringanalog-to-digital convertersvco-based adc

Noise Resilience of Reduced Precision Neural Networks. (2023)

Sai SanjeetSannidhi BoppanaBibhu Datta SahooMasahiro Fujita

deep learningcomputer sciencenoise resilience

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Bibhudatta Sahoo

Professor

University at Buffalo

Affiliations

School of Engineering and Applied Sciences

Department of Electrical Engineering

Bibhudatta Sahoo is currently serving as an Electrical Engineering Professor at University At Buffalo.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Bibhudatta Sahoo

University at Buffalo

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Closed Form Expression of Input Matching of a Wideband Single-Ended to Differential Lna. (2024)

Sanchari DasBibhu Datta Sahoo

computer sciencenanotechnologyclosed form expressiondifferential lnainput matching

Mefet-Based Cam/Tcam for Memory-Augmented Neural Networks. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits (2024)

Sai SanjeetJonathan BirdBibhu Datta Sahoo

neural engineeringcomputer sciencemachine learningembedded systemscomputer engineeringemerging memory technologiesmemory-augmented neural networkselectrical engineering

SPIKEPIPE: Accelerated Training of Spiking Neural Networks via Inter-Layer Pipelining and Multiprocessor Scheduling. IEEE transactions on circuits and systems for artificial intelligence. (2024)

Sai SanjeetBibhu Datta SahooKeshab K. Parhi

deep learningcomputer sciencemachine learningneural networksaccelerated trainingmultiprocessor schedulinginter-layer pipelining

A Low Power Cyclic Adc Architecture Using Reference Scaling Technique. (2023)

Kousik DasSenorita DebBibhu Datta Sahoo

neuroimagingreference scaling techniqueelectrical engineering

An Extended Range Divider Technique for Multi-Band Pll. Journal of low power electronics and applications (2023)

Rizwan Shaik PeerlaAshudeb DuttaBibhu Datta Sahoo

power electronicselectronicsmulti-band pllmicroelectronicsapplied physicslow-power electronicselectrical engineering

Sai SanjeetBibhu Datta SahooMasahiro Fujita

Bibhu Datta SahooGabriele Manganaro

Iir Filter-Based Spiking Neural Network. 2022 IEEE International Symposium on Circuits and Systems (ISCAS) (2023)

Sai SanjeetRahul K. MeenaBibhu Datta SahooKeshab K. ParhiMasahiro Fujita

deep learningcomputer sciencemachine learningsparse neural networkneural network

Johnson Counter-Based Multiphase Generation for Vco-Based Adc for Direct Digitization of Low Amplitude Sensor Signals. IEEE transactions on instrumentation and measurement (2023)

Shruti KonwarBibhu Datta Sahoo

Noise Resilience of Reduced Precision Neural Networks. (2023)

Sai SanjeetSannidhi BoppanaBibhu Datta SahooMasahiro Fujita

deep learningcomputer sciencenoise resilience

1
2
3
10 / page

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Institution

University of Delaware

computer engineering

neuromorphic engineering

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University of California, Los Angeles

vlsi circuit

analog design

Vanessa Chen

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industrial informatics

iot system

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Gu-Yeon Wei

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