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Christopher J. Diorio

Christopher J. Diorio

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
40
Citations
6310
World Ranking
4515
National Ranking
1597

Overview

What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Operating system
  • Transistor

His primary areas of study are Electrical engineering, Electronic engineering, Transistor, Computer hardware and Electronic circuit. CMOS is the focus of his Electronic engineering research. His Transistor study combines topics from a wide range of disciplines, such as Synapse, Process and Topology.

His work carried out in the field of Computer hardware brings together such families of science as Wireless, Backscatter, Data link and Signal, Modulation. Radio frequency and Embedded system is closely connected to Controller in his research, which is encompassed under the umbrella topic of Signal. His Electronic circuit research incorporates themes from Fuse, Artificial neural network, Adaptation, Reset and Computation.

His most cited work include:

  • Competitive learning with floating-gate circuits (354 citations)
  • A single-transistor silicon synapse (250 citations)
  • Design of ultra-low-cost UHF RFID tags for supply chain applications (233 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Electronic engineering, Electrical engineering, Computer hardware, Transistor and Electronic circuit. His Electronic engineering research incorporates elements of Radio-frequency identification, Waveform, Signal, Integrated circuit and Antenna. His biological study spans a wide range of topics, including Identifier and Event.

His Electrical engineering study frequently draws connections between related disciplines such as Quantum tunnelling. Christopher J. Diorio combines subjects such as Field, Embedded system, Backscatter and Code with his study of Computer hardware. In his work, EPROM is strongly intertwined with EEPROM, which is a subfield of Transistor.

He most often published in these fields:

  • Electronic engineering (37.78%)
  • Electrical engineering (31.56%)
  • Computer hardware (17.78%)

What were the highlights of his more recent work (between 2012-2020)?

  • Radio-frequency identification (12.44%)
  • Identifier (6.67%)
  • Computer security (10.22%)

In recent papers he was focusing on the following fields of study:

Christopher J. Diorio mostly deals with Radio-frequency identification, Identifier, Computer security, Code and Electrical engineering. His Radio-frequency identification study integrates concerns from other disciplines, such as Layer and Integrated circuit. His Computer security research is multidisciplinary, incorporating elements of Transition and State.

His work deals with themes such as Ticket, Computer hardware and Mobile device, which intersect with Code. His Electrical engineering study frequently links to adjacent areas such as Electronic engineering. His research investigates the connection between Electronic engineering and topics such as Impedance matching that intersect with issues in Biasing and Rectifier.

Between 2012 and 2020, his most popular works were:

  • Powering rfid tags using multiple systhesized-beam rfid readers (187 citations)
  • RFID integrated circuits with antenna contacts on multiple surfaces (24 citations)
  • RFID tag and reader authentication by trusted authority (17 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Electrical engineering
  • Artificial intelligence

Christopher J. Diorio focuses on Radio-frequency identification, Identifier, Electrical engineering, Integrated circuit and Electronic engineering. His Radio-frequency identification research includes themes of Computer network and Trusted authority. His Identifier study combines topics in areas such as Database, Authorization, Path, Code and Reading.

His work on Electrical engineering is being expanded to include thematically relevant topics such as Embedded system. His research in Integrated circuit intersects with topics in Computer hardware and Antenna. As part of his studies on Electronic engineering, Christopher J. Diorio often connects relevant subjects like Layer.

Best Publications

  • RFID reader to select code modules

    Christopher J. Diorio;Kurt E. Sundstrom

  • A single-transistor silicon synapse

    C. Diorio;P. Hasler;A. Minch;C.A. Mead

  • Competitive learning with floating-gate circuits

    D. Hsu;M. Figueroa;C. Diorio

  • Design of ultra-low-cost UHF RFID tags for supply chain applications

    R. Glidden;C. Bockorick;S. Cooper;C. Diorio

  • An autozeroing floating-gate amplifier

    P. Hasler;B.A. Minch;C. Diorio

  • An autonomous implantable computer for neural recording and stimulation in unrestrained primates.

    Jaideep Mavoori;Andrew Jackson;Chris Diorio;Eberhard Fetz

  • Single Transistor Learning Synapses

    Paul E. Hasler;Chris Diorio;Bradley A. Minch;Carver Mead

  • Translinear circuits using subthreshold floating-gate MOS transistors

    Bradley A. Minch;Chris Diorio;Paul Hasler;Carver A. Mead

  • Secure two-way rfid communications

    Christopher J. Diorio;Aanand Esterberg;Todd E. Humes

  • Adaptive circuits using pFET floating-gate devices

    P. Hasler;B.A. Minch;C. Diorio

  • A high-resolution non-volatile analog memory cell

    C. Diorio;S. Mahajan;P. Hasler;B. Minch

  • A 300-MS/s 14-bit digital-to-analog converter in logic CMOS

    J. Hyde;T. Humes;C. Diorio;M. Thomas

  • A simulation model for floating-gate MOS synapse transistors

    K. Rahimi;C. Diorio;C. Hernandez;M.D. Brockhausen

  • Floating-gate semiconductor structures

    Christopher J. Diorio;Todd E. Humes

  • Hidden-articulator Markov models for speech recognition

    Matthew Richardson;Jeff A. Bilmes;Chris Diorio

  • Differential floating gate nonvolatile memories

    Chad A. Lindhorst;Christopher J. Diorio;Troy N. Gilliland;Alberto Pesavento

  • A floating-gate MOS learning array with locally computed weight updates

    C. Diorio;P. Hasler;B.A. Minch;C.A. Mead

  • A 3 $\mu$ W CMOS True Random Number Generator With Adaptive Floating-Gate Offset Cancellation

    J. Holleman;S. Bridges;B.P. Otis;C. Diorio

  • Adaptive CMOS: from biological inspiration to systems-on-a-chip

    C. Diorio;D. Hsu;M. Figueroa

  • Method for implementing a learning function

    Christopher J. Diorio;Paul E. Hasler;Bradley A. Minch;Carver A. Mead

Frequent Co-Authors

Paul Hasler
Paul Hasler Georgia Institute of Technology
Carver A. Mead
Carver A. Mead California Institute of Technology
Brian Otis
Brian Otis University of Washington
Andreas G. Andreou
Andreas G. Andreou Johns Hopkins University

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