World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
58
Citations
16791
World Ranking
1822
National Ranking
722

Research.com Recognitions

  • 2015 - IEEE Fellow For contributions to the design of digitally-assisted analog integrated circuits

Overview

Boris Murmann is affiliated with the University of Hawaii at Manoa in the United States. Their research primarily spans the field of Engineering, with a particular focus on Electrical and Electronic Engineering, Biomedical Engineering, Artificial Intelligence, Molecular Biology, and Computer Vision and Pattern Recognition.

Their work covers a variety of specialized topics, including:

  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Analog and Mixed-Signal Circuit Design
  • CCD and CMOS Imaging Sensors
  • Advanced biosensing and bioanalysis techniques
  • Neuroscience and Neural Engineering
  • Advanced Neural Network Applications

Some of the recent papers authored or co-authored by Boris Murmann are:

  • Mixed-Signal Computing for Deep Neural Network Inference, 2020, IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • Power-saving design opportunities for wireless intracortical brain-computer interfaces, 2020, Nature Biomedical Engineering
  • Accelerated Electron Transfer in Nanostructured Electrodes Improves the Sensitivity of Electrochemical Biosensors, 2021, Advanced Science
  • CHIMERA: A 0.92-TOPS, 2.2-TOPS/W Edge AI Accelerator With 2-MByte On-Chip Foundry Resistive RAM for Efficient Training and Inference, 2022, IEEE Journal of Solid-State Circuits
  • Analog IC Design Using Precomputed Lookup Tables: Challenges and Solutions, 2020, IEEE Access

Boris Murmann's frequent co-authors include:

  • Dante G. Muratore
  • Vladimir Kesler
  • Pumiao Yan
  • E. J. Chichilnisky
  • Kaiyu Fu

Their publications are often featured in the following venues:

  • IEEE Journal of Solid-State Circuits
  • IEEE Solid-State Circuits Magazine
  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Boris Murmann has also contributed to published books, including a book titled NANO-CHIPS 2030 released by Springer Nature in 2020.

Recognition for their work includes being named an IEEE Fellow in 2015 for contributions to the design of digitally-assisted analog integrated circuits.

Best Publications

  • Skin electronics from scalable fabrication of an intrinsically stretchable transistor array.

    Sihong Wang;Jie Xu;Weichen Wang;Ging-Ji Nathan Wang

  • Highly stretchable, transparent, and conductive polymer

    Yue Wang;Zhenan Bao

  • Highly stretchable polymer semiconductor films through the nanoconfinement effect

    Jie Xu;Sihong Wang;Ging Ji Nathan Wang;Chenxin Zhu

  • A 12-GS/s 81-mW 5-bit Time-Interleaved Flash ADC With Background Timing Skew Calibration

    M El-Chammas;B Murmann

  • A 12-bit 75-MS/s pipelined ADC using open-loop residue amplification

    B. Murmann;B.E. Boser

  • Convolutional Neural Networks using Logarithmic Data Representation

    Daisuke Miyashita;Edward H. Lee;Boris Murmann

  • Matrix-insensitive protein assays push the limits of biosensors in medicine

    Richard S Gaster;Drew A Hall;Carsten H Nielsen;Carsten H Nielsen;Carsten H Nielsen;Sebastian J Osterfeld

  • Multi-scale ordering in highly stretchable polymer semiconducting films.

    Jie Xu;Jie Xu;Hung-Chin Wu;Chenxin Zhu;Anatol Ehrlich

  • Stretchable temperature-sensing circuits with strain suppression based on carbon nanotube transistors

    Chenxin Zhu;Alex Chortos;Yue Wang;Raphael Pfattner

  • A/D converter trends: Power dissipation, scaling and digitally assisted architectures

    B. Murmann

  • HermesE: A 96-Channel Full Data Rate Direct Neural Interface in 0.13 $\mu$ m CMOS

    Hua Gao;R. M. Walker;P. Nuyujukian;K. A. A. Makinwa

  • An always-on 3.8μJ/86% CIFAR-10 mixed-signal binary CNN processor with all memory on chip in 28nm CMOS

    Daniel Bankman;Lita Yang;Bert Moons;Marian Verhelst

  • An Analysis of Latch Comparator Offset Due to Load Capacitor Mismatch

    A. Nikoozadeh;B. Murmann

  • GMR biosensor arrays: A system perspective

    D.A. Hall;R.S. Gaster;T. Lin;S.J. Osterfeld

  • Digitally Assisted Analog Circuits

    B. Murmann

  • A 12-Bit 75-MS/s Pipelined ADC Using Incomplete Settling

    E. Iroaga;B. Murmann

  • Power Dissipation Bounds for High-Speed Nyquist Analog-to-Digital Converters

    T. Sundstrom;B. Murmann;C. Svensson

  • Systematic Design of Analog CMOS Circuits: Using Pre-Computed Lookup Tables

    Unknown

  • LogNet: Energy-efficient neural networks using logarithmic computation

    Edward H. Lee;Daisuke Miyashita;Elaina Chai;Boris Murmann

  • Impact of Scaling on Analog Performance and Associated Modeling Needs

    B. Murmann;P. Nikaeen;D.J. Connelly;R.W. Dutton

  • General Analysis on the Impact of Phase-Skew in Time-Interleaved ADCs

    M. El-Chammas;B. Murmann

  • A 9.4-bit, 50-MS/s, 1.44-mW Pipelined ADC Using Dynamic Source Follower Residue Amplification

    J. Hu;N. Dolev;B. Murmann

  • An Always-On 3.8 $\mu$ J/86% CIFAR-10 Mixed-Signal Binary CNN Processor With All Memory on Chip in 28-nm CMOS

    Daniel Bankman;Lita Yang;Bert Moons;Marian Verhelst

Frequent Co-Authors

Zhenan Bao
Zhenan Bao Stanford University
Thomas W. Kenny
Thomas W. Kenny Stanford University
Rob N. Candler
Rob N. Candler University of California, Los Angeles
Shan X. Wang
Shan X. Wang Stanford University
Hagen Klauk
Hagen Klauk Max Planck Institute for Solid State Research
Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science
Ute Zschieschang
Ute Zschieschang Max Planck Institute for Solid State Research
Xiaodan Gu
Xiaodan Gu University of Southern Mississippi
Sihong Wang
Sihong Wang University of Chicago

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