World's Best Scientists 2026 revealed!
Yoky Matsuoka

Yoky Matsuoka

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
4268
World Ranking
9428
National Ranking
2652

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Artificial intelligence
  • Electrical engineering

Yoky Matsuoka spends much of his time researching Thermostat, Home automation, HVAC, Control theory and Computer security. His work deals with themes such as Setpoint, Schedule, Real-time computing and Efficient energy use, which intersect with Thermostat. His studies examine the connections between Home automation and genetics, as well as such issues in Embedded system, with regards to Drop and Doorbell.

His Control theory research is multidisciplinary, incorporating elements of Simulation and Enclosure. His Enclosure research incorporates elements of Control engineering and Control. As part of his studies on Computer security, Yoky Matsuoka often connects relevant areas like World Wide Web.

His most cited work include:

  • Security scoring in a smart-sensored home (266 citations)
  • Environmental sensing with a doorbell at a smart-home (154 citations)
  • Dynamic device-associated feedback indicative of responsible device usage (136 citations)

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

His main research concerns Home automation, Thermostat, Real-time computing, Control and HVAC. Yoky Matsuoka has researched Home automation in several fields, including Computer security, Smart device, Embedded system and Doorbell. His Thermostat research includes themes of Schedule, Efficient energy use and Setpoint, Control theory.

His work is dedicated to discovering how Control theory, Enclosure are connected with Phase and other disciplines. He has included themes like Server and Current in his Real-time computing study. His Control study combines topics in areas such as Control engineering, Control theory and Control system.

He most often published in these fields:

  • Home automation (35.00%)
  • Thermostat (33.33%)
  • Real-time computing (23.33%)

What were the highlights of his more recent work (between 2015-2017)?

  • Control (23.33%)
  • Cable gland (3.33%)
  • User Friendly (5.00%)

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

Yoky Matsuoka focuses on Control, Cable gland, User Friendly, Controller and Set. His Control research is multidisciplinary, incorporating elements of Control system, Control theory and Sleep. The concepts of his Cable gland study are interwoven with issues in Installation, Computer hardware and Embedded system.

His Order research spans across into subjects like Control engineering and HVAC control system. His studies in Control engineering integrate themes in fields like Thermostat and Visual feedback. Yoky Matsuoka connects HVAC with Simulation in his study.

Between 2015 and 2017, his most popular works were:

  • HVAC control system encouraging energy efficient user behaviors in plural interactive contexts (16 citations)
  • Devices and methods for determining and acting upon cumulative exposure of a building occupant to a hazardous substance (4 citations)
  • HVAC control system providing user efficiency-versus-comfort settings that is adaptable for both data-connected and data-unconnected scenarios (3 citations)

Best Publications

  • Limited access invitation handling at a smart-home

    Anthony Michael Fadell;Matthew Lee Rogers;Yoky Matsuoka;David Sloo

  • Environmental sensing with a doorbell at a smart-home

    Anthony Michael Fadell;Matthew Lee Rogers;Yoky Matsuoka;David Sloo

  • Dynamic device-associated feedback indicative of responsible device usage

    Anthony Michael Fadell;Yoky Matsuoka;David Sloo;Michael Plitkins

  • Methods for encouraging energy-efficient behaviors based on a network connected thermostat-centric energy efficiency platform

    Isabel Guenette;Yoky Matsuoka;Anthony Michael Fadell;Matthew Lee Rogers

  • Inhibiting deleterious control coupling in an enclosure having multiple HVAC regions

    Yoky Matsuoka;Rangoli Sharan;Anthony Michael Fadell;Matthew Lee Rogers

  • Smart invitation handling at a smart-home

    Anthony Michael Fadell;Matthew Lee Rogers;Yoky Matsuoka;David Sloo

  • Control unit with automatic setback capability

    Yoky Matsuoka;Frank E. Astier;Rangoli Sharan;Anthony Michael Fadell

  • Methods and graphical user interfaces for reporting performance information for an HVAC system controlled by a self-programming network-connected thermostat

    Timo A. Bruck;Evan J. Fisher;James B. Simister;Yoky Matsuoka

  • Energy efficiency promoting schedule learning algorithms for intelligent thermostat

    Yoky Matsuoka;Frank E. Astier;Rangoli Sharan;David Sloo

  • Secure handling of unsupervised package drop off at a smart-home

    Anthony Michael Fadell;Matthew Lee Rogers;Yoky Matsuoka;David Sloo

  • Automated crowdsourced power outage identification and staggering of hvac system restarts

    Andrew Baynes;Scott Mcgaraghan;Anthony M. Fadell;David Sloo

  • Handling security services visitor at a smart-home

    Anthony Michael Fadell;Matthew Lee Rogers;Yoky Matsuoka;David Sloo

  • HVAC controller with user-friendly installation features with wire insertion detection

    Anthony Michael Fadell;Matthew Lee Rogers;David Sloo;Mark D. Stefanski

  • User-relocatable self-learning environmental control device capable of adapting previous learnings to current location in controlled environment

    Yoky Matsuoka;Daniel A. Warren;Anthony M. Fadell;Matthew L. Rogers

  • Handling specific visitor behavior at an entryway to a smart-home

    Anthony Michael Fadell;Matthew Lee Rogers;Yoky Matsuoka;David Sloo

  • Leveraging neighborhood to handle potential visitor at a smart-home

    Anthony Michael Fadell;Matthew Lee Rogers;Yoky Matsuoka;David Sloo

  • Systems and methods for determining or modifying a temperature program based on occupant activity

    Michael Plitkins;Mark D. Stefanski;David Sloo;Yoky Matsuoka

  • Continuous intelligent-control-system update using information requests directed to user devices

    Yoky Matsuoka

  • Hvac schedule establishment in an intelligent, network-connected thermostat

    Yoky Matsuoka;Anthony M. Fadell;Matthew L. Rogers;David Sloo

  • Enclosure cooling using early compressor turn-off with extended fan operation

    Yoky Matsuoka;Mark D. Stefanski;David Sloo

Frequent Co-Authors

Anthony Michael Fadell
Anthony Michael Fadell Build Collective
David Sloo
David Sloo Google (United States)
Mike J. Dixon
Mike J. Dixon University of Waterloo
Shwetak N. Patel
Shwetak N. Patel University of Washington
William H. Greene
William H. Greene New York University

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