HS
Unit: School of Engineering and Applied Science
Department: Department of Computer Science
Office location and address
Rice Hall 303
85 Engineers Way
Charlottesville,
Virginia
22903
Education
B.S. Tongji University, 2000
M.S. Wayne State University, 2004
Ph.D. Wayne State University, 2006
M.S. Wayne State University, 2004
Ph.D. Wayne State University, 2006
Biography
Haiying Shen received her BS degree in Computer Science and Engineering from Tongji University, China in 2000, and her MS and Ph.D. degrees in Computer Engineering from Wayne State University in 2004 and 2006, respectively. She was a faculty member in the Department of Computer Science and Computer Engineering at University of Arkansas from 2006 to 2009, and was a faculty member in the Department of Electrical and Computer Engineering at Clemson University from 2009 to 2016. She joined the University of Virginia Department as an Associate Professor in 2016. She was a recipient of the TCSC Mid-career Award 2015, IBM Faculty Award 2015, NSF CAREER Award 2013, Sigma Xi Clemson Chapter Young Investigator of the Year Award 2013, Microsoft Faculty Fellowship Award 2010, Award for Faculty Excellence of Clemson University 2010, and Undergraduate Mentor Thesis Award of University of Arkansas in 2009. She is a subject area editor for the Scalable Computing Journal, and an associate editor for the International Journal of Parallel, Emergent and Distributes Systems (IJPEDS) and for the Journal of Information Science and Engineering. She is also a program committee member of many leading conferences, and the former program co-chair for a number of international conferences.
Publications
Sponsored Awards
Cloud-based Patient Outcomes Platform for Chronic Rhinosinusitis
Source: American Rhinologic Society
July 01, 2021 – June 30, 2024
SPX: Integrating Persistent Memory in the Cloud
Source: U.S. National Science Foundation (NSF)
October 01, 2018 – September 30, 2023
User Behavior-aware Real-Time Safety Enhancement in Vehicular Networks
Source: George Mason University
December 01, 2021 – December 31, 2022
Secure Federated Learning for Autonomous Vehicles in the NextG Networks
Source: Virginia Polytechnic Institute and State Universit
January 01, 2022 – December 31, 2022
Phase II Data-driven Cyber-Attack Control in Communication between Autonomous Vehicles and Infrastructure for 5G-assisted Transportation Cyber Physical Systems
Source: Commonwealth Cyber Initiative
April 01, 2022 – September 30, 2022
Experiential Learning Through Conducting Data-driven Adversarial Attack Creation and Control in Connected Autonomous Vehicle Cyber Physical Systems
Source: Commonwealth Cyber Initiative
May 01, 2021 – August 30, 2022
Exploring Mobile Ad Hoc Networks (MANETs) to Enable Connected Transportation Services
Source: U.S. Department Of Transportation
August 21, 2019 – August 20, 2022
CVN Experiential Learning Through Conducting Data-Driven Deep Learning Adversarial Attack Detection in Connected Autonomous Vehicles
Source: Commonwealth Cyber Initiative
September 16, 2021 – July 30, 2022
A Real-Time Dependency Network Approach to Quantifying Risks and Ripple Effects from Cyberttacks in Defense Shipbuilding and Repair Supply Networks
Source: Old Dominion University Research Foundation
July 01, 2021 – June 30, 2022
Machine Learning based Disinformation Detection and Its Human Trust in Autonomous Vehicle Systems
Source: Virginia Polytechnic Institute and State Universit
June 01, 2021 – May 31, 2022
Data-driven Cyber-Attack Control in Communication between Autonomous Vehicles and Infrastructure for 5G-assisted Transportation Cyber Physical Systems
Source: Commonwealth Cyber Initiative
November 08, 2021 – February 25, 2022
Organizing CSSI PI Meeting - Towards a National Cyberinfrastructure Ecosystem
Source: U.S. National Science Foundation (NSF)
April 01, 2020 – March 31, 2021
CIF21 DIBBs: PD: Building High-Availability Data
Source: U.S. National Science Foundation (NSF)
August 01, 2017 – July 31, 2020
EN-CS-CAREER: A New Efficient and Cooperative Large-Scale Distributed Data Sharing System
Source: U.S. National Science Foundation (NSF)
February 01, 2017 – January 31, 2020
Identifying "Under the Radar" Attacks
Source: Akamai Technologies, Inc.
February 01, 2019 – October 31, 2019
EN-CS Application Characterization for Adaptive Computing Platform Determination for Computational and Data-Enabled Science and Engineering
Source: U.S. NSF - Directorate For Engineering
August 15, 2016 – August 31, 2019
2017-2018 IBM PhD Fellowship
Source: IBM, Inc.
August 18, 2017 – May 30, 2018
Courses
Credits: 3
Investigates the architectural foundations of the various cloud platforms, as well as examining both current cloud computing platforms and modern cloud research. Student assignments utilize the major cloud platforms. Prerequisite: CS 2150 with grade of C- or higher.
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 with a grade of C- or higher
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.
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 or CS 2501 topic DSA2 with a grade of C- or higher, and BSCS major
Credits: 3
This course introduces a basic grounding in designing and implementing cloud systems. It aims to acquaint students with principles and technologies of server clusters, virtualized datacenters, Internet clouds, and applications. Students will gain hands-on experience on public cloud such as Amazon EC2. Prerequisites: CS2150 Program and Data Representation or CS 111x Introduction to Programming, CS 4457 Computer Networks or equivalent background.
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.
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.
Credits: 1–12
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
Credits: 3
Formal record of student commitment to project research for the Master of Computer Science degree under the guidance of a faculty advisor.
Credits: 1–12
For master's students who are teaching assistants.
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.
Credits: 1–12
For doctoral students who are teaching assistants.
Credits: 1–12
Formal record of student commitment to doctoral research under the guidance of a faculty advisor. May be repeated as necessary.
Honors
Microsoft Research Faculty Fellow JULY 13, 2010
NSF CAREER Award 2013
IBM Faculty Award 2015
The Sigma Xi Clemson Chapter Young Investigator of the Year Award 2013