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Susan Lysecky Phones & Addresses

  • Marana, AZ
  • Tucson, AZ
  • Irvine, CA
  • Hemet, CA
  • 8604 N Moonfire Dr, Tucson, AZ 85743 (520) 572-6427

Work

Position: Craftsman/Blue Collar

Education

Degree: High school graduate or higher

Resumes

Resumes

Susan Lysecky Photo 1

Director Of Content

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Location:
8604 north Moonfire Dr, Tucson, AZ 85743
Industry:
E-Learning
Work:
Zybooks
Director of Content

Zybooks May 2014 - Nov 14, 2016
Senior Content Engineer

The University of Arizona 2006 - May 2014
Assistant Professor
Education:
University of California, Riverside 2003 - 2006
Doctorates, Doctor of Philosophy, Computer Science, Philosophy
University of California, Riverside 2001 - 2003
Master of Science, Masters
University of California, Riverside 1996 - 2001
Bachelors, Bachelor of Science
Skills:
Higher Education
Latex
Algorithms
Simulations
Data Analysis
C++
Programming
Computer Architecture
C
Technical Writing
Embedded Systems
Vhdl
Verilog
Computer Science
Interests:
Photograph
Kids
Cooking
Gardening
Traveling
Electronics
Home Improvement
Reading
Gourmet Cooking
Sports
Music
Automobiles
Golf
Travel
Movies
Home Decoration
Languages:
English
Susan Lysecky Photo 2

Susan Lysecky

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Location:
Tucson, AZ

Business Records

Name / Title
Company / Classification
Phones & Addresses
Susan Lysecky
ACOMNI, LLC
2102 N Forbes Blvd #106, Tucson, AZ 85745
8604 N Moonfire Dr, Tucson, AZ 85743

Publications

Us Patents

Embedded Systems Building Blocks

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US Patent:
20060095893, May 4, 2006
Filed:
May 10, 2005
Appl. No.:
11/127035
Inventors:
Frank Vahid - Corona CA, US
Susan Lysecky - Hemet CA, US
Assignee:
The Regents of the University of California a California Corporation - Oakland CA
International Classification:
G06F 9/44
US Classification:
717109000
Abstract:
Stand-alone modules or blocks for use in creating low-power sensor-based monitor/control systems. Each module performs a pre-defined function, and when included in a monitor/control network operates as a node on the network and automatically communicates with one or more connected nodes using a uni-directional packet-based protocol. One class of such predefined nodes communicates Boolean values, for example, with input sensor nodes detecting the presence or absence of environmental phenomena (e.g., motion, light, sound, water, button presses, etc.), intermediate nodes transforming those Boolean values using combinational or sequential logic, and output nodes converting the resulting Boolean values to environmental phenomena (e.g., beeping, light, electric relay activation, etc.) or to data for further processing by a computer. Another class of nodes communicates integer or number values.

Data-Driven Hvac Optimization

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US Patent:
20150378373, Dec 31, 2015
Filed:
Jun 25, 2014
Appl. No.:
14/314704
Inventors:
- Tucson AZ, US
Xiao Qin - Tucson AZ, US
Susan Lysecky - Tucson AZ, US
International Classification:
G05D 23/19
Abstract:
A system and method for data-driven HVAC optimization for outputting HVAC setpoints to a thermostat and determining a predicted HVAC usage of an HVAC unit based on the HVAC setpoints and an outdoor temperature. The system may further determine and output a predicted cost of the HVAC unit heating or cooling a structure based on the HVAC setpoints. The system may further select optimized HVAC setpoints such that the predicted cost is less than or equal to a user defined cost constraint and minimize deviation from user-preferred HVAC setpoints.
Susan J Lysecky from Marana, AZ, age ~45 Get Report