JS

John A Stankovic

Professor
Director, Link Lab
Unit: School of Engineering and Applied Science
Department: Department of Computer Science
Office location and address
151 Engineer's Way
Charlottesville, Virginia 22903
Education
BSEE Brown University, 1970
​M.S. Computer Science, Brown University, 1975
​Ph.D. Computer Science, Brown University, 1979
Context Aware Augmented Reality for Cognitive Assistance in Emergency Medical Services
Source: National Institute of Standards & Technology
May 01, 2021 – April 30, 2024
NRT: A Graduate Traineeship in Cyber Physical Systems
Source: U.S. National Science Foundation (NSF)
September 01, 2018 – August 31, 2023
SCH: INT: Learning and Improving Alzheimer¿s Patient-Caregiver Relationships via Smart Healthcare Technology
Source: U.S. National Science Foundation (NSF)
January 01, 2019 – December 31, 2022
EN-DO Research in Support of Leidos's Strategic Alliance with UVA
Source: Leidos, Inc.
January 01, 2018 – December 31, 2021
2017 NATIONAL WORKSHOP ON BRIDGING THE URBAN-RURAL GAP IN AMERICA
Source: U.S. NSF - Directorate Computer & Info. Sciences
July 01, 2017 – June 30, 2021
Towards Cognitive Assistant Systems for Emergency Response
Source: U.S. DOC - Natl. Institute Standards & Tech. (NIST
June 01, 2017 – May 31, 2021
EN-CS-SCH:INT:Collaborative Research:Monitoring and Modeling Family Eating Dynamics(M2FED):Reducing Obesity Without Focusing on Diet and Activity
Source: U.S. NSF - Directorate Computer & Info. Sciences
September 01, 2015 – August 31, 2020
EN-CS- CPS: Breakthrough: Wearables With Feedback Control
Source: U.S. NSF - Directorate Computer & Info. Sciences
September 01, 2016 – August 31, 2020
EN-CS-CSR:EHS:Small:Collaborative Research:Smart Buttons:Bio-Enabled Wearable Devices
Source: U.S. NSF - Directorate Computer & Info. Sciences
October 01, 2015 – September 30, 2019
Safety for Dementia Patients
Source: Daegu Gyeongbuk Institute of Science and Technolog
November 01, 2012 – December 31, 2017
EN-CS-CSR: Small: Realism in Activity Recognition for Long Term Sensor Network Deployments
Source: U.S. NSF - Directorate Computer & Info. Sciences
September 01, 2013 – August 31, 2017
EN-CS-EAGER:Detecting and Addressing Adverse Dependencies Across Human-in -the-Loop In-Home Medical Apps
Source: U.S. NSF - Directorate Computer & Info. Sciences
June 15, 2015 – May 31, 2017
CPS: Synergy: Collaborative Research: Multiple-Level Predictive Control of Mobile Cyber Physical Systems with Correlated Context
Source: U.S. NSF - Directorate Computer & Info. Sciences
October 01, 2012 – September 30, 2016
Correlates among nocturnal agitation, sleep, and urinary incontinence in dementia
Source: U.S. NIH Institute of Nursing Research
July 01, 2012 – June 30, 2015
CPS: Medium: Collaborative Research: Body Area Sensor Networks
Source: U.S. NSF - Directorate Computer & Info. Sciences
October 01, 2010 – September 30, 2014
CSR: Small: Maintaining System Operation in WIreless Sensor Networks Over Long Lifetimes
Source: U.S. NSF - Directorate Computer & Info. Sciences
September 01, 2010 – August 31, 2014
CS 4501: Special Topics in Computer Science
Credits: 1–3
Content varies annually, depending on instructor interests and the needs of the department. Similar to CS 5501 and CS 7501, but taught strictly at the undergraduate level. Prerequisite: Instructor permission; additional specific requirements vary with topics.
CS 4980: Capstone Research
Credits: 1–3
This course is one option in the CS fourth-year thesis track. Students will seek out a faculty member as an advisor, and do an independent project with said advisor. Instructors can give the 3 credits across multiple semesters, if desired. This course is designed for students who are doing research, and want to use that research for their senior thesis. Note that this track could also be an implementation project, including a group-based project. Prerequisite: CS 2150 or CS 2501 topic DSA2 with a grade of C- or higher, and BSCS major
CS 4993: Independent Study
Credits: 1–3
In-depth study of a computer science or computer engineering problem by an individual student in close consultation with departmental faculty. The study is often either a thorough analysis of an abstract computer science problem or the design, implementation, and analysis of a computer system (software or hardware). Prerequisite: Instructor permission.
CS 4998: Distinguished BA Majors Research
Credits: 3
Required for Distinguished Majors completing the Bachelor of Arts degree in the College of Arts and Sciences. An introduction to computer science research and the writing of a Distinguished Majors thesis. Prerequisites: CS 2150 with a grade of C- or higher and CS BA major status.
CS 6501: Special Topics in Computer Science
Credits: 3
Course content varies by section and is selected to fill timely and special interests and needs of students. See CS 7501 for example topics. May be repeated for credit when topic varies. Prerequisite: Instructor permission.
CS 6890: Industrial Applications
Credits: 1
A graduate student returning from Curricular Practical Training can use this course to claim one credit hour of academic credit after successfully reporting, orally and in writing, a summary of the CPT experience to his/her academic advisor.
CS 7993: Independent Study
Credits: 1–12
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
CS 7995: Supervised Project Research
Credits: 3
Formal record of student commitment to project research for the Master of Computer Science degree under the guidance of a faculty advisor.
CS 8501: Special Topics in Computer Science
Credits: 3
Special Topics in Computer Science
CS 8897: Graduate Teaching Instruction
Credits: 1–12
For master's students who are teaching assistants.
CS 8999: Thesis
Credits: 1–12
Formal record of student commitment to thesis research for the Master of Science degree under the guidance of a faculty advisor. May be repeated as necessary.
CS 9897: Graduate Teaching Instruction
Credits: 1–12
For doctoral students who are teaching assistants.
CS 9999: Dissertation
Credits: 1–12
Formal record of student commitment to doctoral research under the guidance of a faculty advisor. May be repeated as necessary.