World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
35
Citations
5703
World Ranking
5518
National Ranking
1891

Overview

Garrett S. Rose is affiliated with the University of Tennessee at Knoxville in the United States. Their research encompasses several fields, focusing primarily on engineering and neuroscience. A significant portion of their work lies in electrical and electronic engineering, cellular and molecular neuroscience, artificial intelligence, cognitive neuroscience, and hardware and architecture.

The scientist's research topics include advanced memory and neural computing, ferroelectric and negative capacitance devices, CCD and CMOS imaging sensors, neuroscience and neural engineering, neural dynamics and brain function, neural networks and reservoir computing, and photoreceptor and optogenetics research.

They have contributed to numerous publications, appearing in a variety of venues. The most frequent publication venues include:

  • arXiv (Cornell University)
  • ACM Journal on Emerging Technologies in Computing Systems
  • 2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS)
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • IEEE Access

Among their recent papers are:

  • Physically Unclonable and Reconfigurable Computing System (PURCS) for Hardware Security Applications, 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • STDP Based Online Learning for a Current-Controlled Memristive Synapse, 2022, 2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS)
  • TCAD Modeling of Resistive-Switching of HfO2 Memristors: Efficient Device-Circuit Co-Design for Neuromorphic Systems, 2021, Frontiers in Nanotechnology
  • Short-Term Facilitation-Then-Depression Enables Adaptive Processing of Sensory Inputs by Ion Channels in Biomolecular Synapses, 2021, ACS Applied Electronic Materials
  • Towards Synaptic Behavior of Nanoscale ReRAM Devices for Neuromorphic Computing Applications, 2020, ACM Journal on Emerging Technologies in Computing Systems

Garrett S. Rose collaborates frequently with several co-authors who appear multiple times in their publications. These include Catherine D. Schuman, Hritom Das, Nishith N. Chakraborty, Ahmedullah Aziz, and Shamiul Alam.

Best Publications

  • A Survey of Neuromorphic Computing and Neural Networks in Hardware.

    Catherine D. Schuman;Thomas E. Potok;Robert M. Patton;J. Douglas Birdwell

  • Fault Analysis-Based Logic Encryption

    Jeyavijayan Rajendran;Huan Zhang;Chi Zhang;Garrett S. Rose

  • Memristor Crossbar-Based Neuromorphic Computing System: A Case Study

    Miao Hu;Hai Li;Yiran Chen;Qing Wu

  • Hardware realization of BSB recall function using memristor crossbar arrays

    Miao Hu;Hai Li;Qing Wu;Garrett S. Rose

  • A Study of Complex Deep Learning Networks on High-Performance, Neuromorphic, and Quantum Computers

    Thomas E. Potok;Catherine Schuman;Steven Young;Robert Patton

  • Memristive Ion Channel-Doped Biomembranes as Synaptic Mimics.

    Joseph S. Najem;Joseph S. Najem;Graham J. Taylor;Ryan J. Weiss;Sakib Hasan

  • Leveraging Memristive Systems in the Construction of Digital Logic Circuits

    G. S. Rose;J. Rajendran;H. Manem;R. Karri

  • Nano Meets Security: Exploring Nanoelectronic Devices for Security Applications

    Jeyavijayan Rajendran;Ramesh Karri;James B. Wendt;Miodrag Potkonjak

  • Nano-PPUF: A Memristor-Based Security Primitive

    Jeyavijayan Rajendran;Garrett S. Rose;Ramesh Karri;Miodrag Potkonjak

  • Design considerations for variation tolerant multilevel CMOS/Nano memristor memory

    Harika Manem;Garrett S. Rose;Xiaoli He;Wei Wang

  • An Energy-Efficient Memristive Threshold Logic Circuit

    J. Rajendran;H. Manem;R. Karri;G. S. Rose

  • A write-time based memristive PUF for hardware security applications

    Garrett S. Rose;Nathan McDonald;Lok-Kwong Yan;Bryant Wysocki

  • A Review of Spiking Neuromorphic Hardware Communication Systems

    Aaron R. Young;Mark E. Dean;James S. Plank;Garrett S. Rose

  • Dynamical nonlinear memory capacitance in biomimetic membranes.

    Joseph S. Najem;Joseph S. Najem;Sakib Hasan;R. Stanley Williams;Ryan J. Weiss

  • A read-monitored write circuit for 1T1M multi-level memristor memories

    Harika Manem;Garrett S. Rose

  • Foundations of memristor based PUF architectures

    Garrett S. Rose;Nathan McDonald;Lok-Kwong Yan;Bryant Wysocki

  • Design Considerations for Multilevel CMOS/Nano Memristive Memory

    H. Manem;J. Rajendran;G. S. Rose

  • Memristor crossbar based hardware realization of BSB recall function

    Miao Hu;Hai Li;Qing Wu;Garrett S. Rose

  • BSB training scheme implementation on memristor-based circuit

    Miao Hu;Hai Li;Yiran Chen;Qing Wu

  • Memristor-Based Neural Logic Blocks for Nonlinearly Separable Functions

    M. Soltiz;D. Kudithipudi;C. Merkel;G. S. Rose

  • Memristor based programmable threshold logic array

    Jeyavijayan Rajendran;Harika Manem;Ramesh Karri;Garrett S. Rose

Frequent Co-Authors

Jeyavijayan Rajendran
Jeyavijayan Rajendran Texas A&M University
Ramesh Karri
Ramesh Karri New York University
Mircea R. Stan
Mircea R. Stan University of Virginia
Qing Wu
Qing Wu United States Air Force Research Laboratory
Hai Li
Hai Li Duke University
Miodrag Potkonjak
Miodrag Potkonjak University of California, Los Angeles
Sung Kyu Lim
Sung Kyu Lim Georgia Institute of Technology
Syed K. Islam
Syed K. Islam University of Tennessee at Knoxville
R. Stanley Williams
R. Stanley Williams Texas A&M University
James M. Tour
James M. Tour Rice University

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