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Project Title:  FEEDER: Foundations for Engineering Education for Distributed Energy Resources

Area of Reserach: Cyber-Physical Systems,  Networking

Funded by:  National Science Foundation

Description:   FEEDER undertakes research, curriculum development, education and training activities aiming at widespread adoption of distributed renewable energy resources and deployment of smart grid technologies.

http://www.feeder-center.org/people.php#uk

 

 

Project Title: Enhancing Science Through Custom Paths For Trusted Users

Area of Research: Networking

Funded by:  National Science Foundation

Description:  Enables trusted users to authenticate themselves to the network and set up network connections free from middlebox interference while still enforcing middlebox security functionality for normal campus traffic.

 

 

Project Title:  NETSCOPES

Area of Research

Funded by:  National Science Foundation

DescriptionCollaborative Research: CICI: Secure and Resilient Architecture: NetSecOps - Policy-driven, Knowledge-centric, Holistic Network Security Operations Architecture (NETSECOPS) - State-of-the-art campus security operations still heavily rely on human domain experts to interpret high level policy documents, attempt to implement those policies through low level mechanisms, manually implement exceptions to these policies to accommodate scientific workflow requirements, interpret reports and alerts from a variety of security point solutions, and be able to react to security events in near real time on a 24-by-7 basis. This state of affairs is clearly untenable.  We strive to answer these questions:  How can we realize the NETSECOPS Knowledge and Control Framework? Can NETSECOPS be used for knowledge capture and knowledge discovery? Can high level security policies be systematically captured? Are low level mechanisms accurately enforcing high level policies? Can systematic policies be auto-generated? Can general campus access and connectivity control be policy-driven? Can policy exceptions be made for traffic used in (scientific) research computing?
 

 http://selab.netlab.uky.edu/homepage/CICI-Netsecops-webpage.htm

 

 

Project Title:  TraceLab

Area of Research:  Software Verification, validation, and testing, as well as engineering and software maintenance

Funded by:  National Science Foundation

Description: CI-EN: RUI: Collaborative Research: TraceLab Community Infrastructure for Replication, Collaboration, and Innovation (TraceLab) - We will be using TraceLab to reproduce a significant selection of landmark experiments in traceability, feature location, impact analysis, program summarization, testing, and requirements engineering. Our work will (1) provide a baseline against which future work can be evaluated, (2) create publicly available libraries of TraceLabcomponents implementing important algorithms in each domain, and (3) serve as an exemplar for future reproducibility of results.

 

 http://selab.netlab.uky.edu/homepage/Tracelab-2.htm

 

 

Project Title:  PerfLearner

Area of Research:  Software engineering, software testing and debugging , program analysis, software mining

Funded by:  National Science Foundation

Description: PerfLearner is a performance testing and diagnosis tool that can automatically discover performance issues and fix the issues online.

 

 http://cs.uky.edu/~tyu/projects.html

 

 

Project Title:  Descry

Area of Research:  Software engineering, software testing and debugging , program analysis, software mining

Funded by:  National Science Foundation

Description: Descry is an automated testing tool for detecting concurrency issues in software systems running with multiple processes. 

 

 http://cs.uky.edu/~tyu/projects.html

 

 

Project Title:  SimEvo

Area of Research:  Software engineering, software testing and debugging , program analysis, software mining

Funded by:  National Science Foundation

Description: This project aims to develop a regression testing framework that can be applied to real-world complex software systems, focusing on the hardware dependence and concurrent control charac- teristics, throughout their lifetimes. 

 

 http://cs.uky.edu/~tyu/projects.html

 

 

Project Title:  A Scalable Framework for Debugging Large Biological Ontologies

Area of Research:  Knowledge Representation and Reasoning, Graph Mining

Funded by:  National Science Foundation

Description: The main goal of this project is to develop a debugging framework for quality assurance of the Gene Ontology by leveraging both its underlying graph structure and novel term-algebra.

 

 

Project Title:  An Ontology-driven Faceted Query Engine for the Kentucky Cancer Registry

Area of Research:  Cancer Informatics

Funded by:  National Institutes of Health

Description: The main goal of this project is to develop a novel ontology-driven faceted query system to enhance web-based exploration of Kentucky Cancer Registry data.

 

Project Title:  Center for SUDEP Research (CSR) - Information and Data Analytics (IDAC)

Area of Research:  Big Data Analytics, Data Integration and Management

Funded by:  National Institutes of Health

Description: The main goal of this project is to expand and broaden the sharing aned utilization of research resources and data across centers in order to accelerate the understanding of biological mechanisms for SUDEP.