
Liana M. Kiff- M.S. Software Engineering, University of MN
- Consultant at Tom Sawyer Software
Liana M. Kiff
- M.S. Software Engineering, University of MN
- Consultant at Tom Sawyer Software
Championing the power of graph-based technologies to improve data analysis and human understanding of complex data.
About
17
Publications
32,938
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528
Citations
Introduction
Liana M. Kiff currently works at Tom Sawyer Software, as a consultant for graph-based technologies. Formerly, Liana was the Director of Solutions at Tom Sawyer Software from 2019-2022. Prior to 2019, Liana worked in the Automation and Control Solutions Division, Honeywell. Liana does application development and applied research in Data Mining, Information Science and Software Engineering.
Skills and Expertise
Current institution
Tom Sawyer Software
Current position
- Consultant
Additional affiliations
January 2019 - present
Tom Sawyer Software
Position
- Manager
Description
- Our Solutions Engineers assist customers in developing graph analytics and visualizations to understand and act on complex data and relationships.
Publications
Publications (17)
As system which contains a vendor-neutral, flexible and efficient alarm grouping and routing algorithm using enterprise level and alarm attributes for filtering. Also, the approach uses rule based alarm assignment to handle diverse alarm signal parameters within large volumes of individual signals coming from multiple sources. Many of the alarm sig...
A method includes receiving into a computer processor a building control subsystem design drawing, and identifying a plurality of objects in the building control subsystem design drawing by comparing the objects to a template of objects. The template of objects includes one or more of a representation of a shape, a color, and a texture. A physical...
The Abnormal Situation Management® Consortium11This research study was sponsored by the Abnormal Situation Management® (ASM®) Consortium. ASM and Abnormal Situation Management are registered trademarks of Honeywell International, Inc. funded a study to investigate procedural execution failures during abnormal situations. The study team analyzed 20...
Home-based patient monitors have limited access for field nurses when they are away from their desktop computers and central monitoring station software. The major consequences of this are delayed responses to patient problems, possibly leading to less effective treatment. Further, nurses' laptops lack mobility and versatility, which often makes it...
This study investigated the optimal button size and spacing for touch screen user interfaces intended for use by older adults.
Current recommendations in the literature are aimed at general audiences and fail to consider the specific needs of older
adults. Three independent variables, button size, button spacing, and manual dexterity were studied i...
The Independent LifeStyle Assistant (I.L.S.A.) is an agent-based monitoring and support system to help elderly people live longer in their homes by reducing caregiver burden. I.L.S.A. is a multiagent system that incorporates a unified sensing model, situation assessments, response planning, real-time responses, and machine learning. This paper desc...
To address the growing needs for care for our aging population, both the public and private sectors are turning to advanced technologies to facilitate or automate aspects of caregiving. The user, who is often an older adult, must now appropriately trust and rely upon the technology to perform its task accurately. However, there is reason to believe...
We have been working on home automation to support eldercare. This is an instance of long term human-automation interaction in very intimate and personal settings with a potentially difficult user population. We report our design philosophy and some of the lessons learned relative to that philosophy from a six month field test with representatives...
The Independent LifeStyle Assistant™ (I.L.S.A.) is an agent-based monitoring and support system to help elderly people to live longer in their homes by reducing caregiver burden. I.L.S.A. is a multiagent system that incorporates a unified sensing model, situation assessments, response planning, real-time responses and machine learning. This paper d...
I.L.S.A.) is an agentbased monitoring and support system to help elderly people to live longer in their homes by reducing caregiver burden.
The Independent LifeStyle AssistantTM (I.L.S.A.) is an agent- based monitoring and support system to help elderly peo- ple to live longer in their homes by reducing caregiver bur- den. I.L.S.A. is a multiagent system that incorporates a uni- fied sensing model, situation assessments, response planning, real-time responses and machine learning. This...
The Independent LifeStyle Assistant™ (I.L.S. A.) is an agent-based monitoring and support system to help elderly people to live longer in their homes by reducing caregiver burden. I.L.S.A. is a multiagent system that incorporates a unified sensing model, situation assessments, response planning, real-time responses and machine learning. This paper...
The Independent LifeStyle Assistant, (I. L. S. A. ) is an agent-based monitoring and support system to help elderly people to live longer in their homes by reducing caregiver burden. I. L. S. A. is a multiagent system that incorporates a uniˉed sensing model, situation assessments, response planning, real-time responses and machine learning. This p...