If we knew what it was we were doing,
it would not be called research, would it?
-- Albert Einstein
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Prof. Dr. Ling Liu is a Professor in the College of Computing
at Georgia Institute of Technology. There she directs the research programs in Distributed Data Intensive Systems Lab (DiSL), examining
performance, security, privacy, and data management issues in building large
scale distributed computing systems. Prof. Liu and the DiSL
research group have been working on various aspects of distributed data
intensive systems, ranging from Big Data technology, Cloud Computing and cloud datacenters, decentralized and social network computing, mobile and location based services, sensor network and event stream
processing, to service oriented computing and architectures. She has published
over 300 international journal and conference articles.
Her research group has produced a number of open source
software systems, among which the most popular ones include WebCQ, XWRAPElite, PeerCrawl, GTMobSIM, and SHAPEi.
Prof. Dr. Liu is a co-recipient of the best paper award from a number of conferences and organizaitons, including ICDCS 2003, WWW 2004, 2005 Pat
Goldberg Memorial Best Paper Award, IEEE Cloud 2012, IEEE ICWS 2013.
Prof. Liu is an elected IEEE Fellow and a recipient of IEEE Computer Society Technical Achievement Award in 2012 and an Outstanding Doctoral Thesis Advisor award from Georgia Institute of Technology.
In addition to services as general chair and PC chairs of numerous IEEE and ACM conferences in data engineering, very large databases and distributed computing fields, Prof. Liu has served on editorial board of over a dozen international journals. Currently Prof. Liu is the editor in chief of IEEE Transactions on Service Computing, and serves on the editorial board of half dozen international journals, including ACM Transactions on Internet Technology (TOIT), ACM Transactions on Web (TWEB), Distributed and Parallel Databases (Springer), Journal of Parallel and Distributed Computing (JPDC). Prof. Dr. Liu's current research is primarily sponsored by NSF, IBM, and Intel.
Prof. Dr. Ling
Liu is an internationally recognized expert in the areas of
Big data systems and data analysis, Cloud computing and cloud datacenters, Database Systems, Distributed Computing, Internet Computing Systems, and Service oriented
In addition to services as general chair and PC chairs of numerous IEEE and ACM conferences in data engineering, very large databases and distributed computing fields, Prof. Liu has
servered or is serving on editorial boards of several international journals, including ACM Transactions on Internet Technology (TOIT), ACM Transactions on Web (TWEB), IEEE Transactions on Knowledge and Data Engineering (TKDE), Int. Journal of Very Large Databases (VLDB Journal), Distributed and Parallel Databases (Springer), Journal of Parallel and Distributed Computing (JPDC).
Currently Prof. Liu is the editor in chief of IEEE Transactions on Service Computing (TSC).
Prof. Dr. Liu’s research is primarily sponsored by NSF, DoE, DARPA, IBM, and HP.
Big Data Processing and Data Analytics as a Service
SHAPE - Semantic Hash Partitioning for Distributed Processing of big RDF datasets
TripleBit - A Fast and Compact RDF Store
NEAT - Trajectory Clustering and Spatial Pattern Mining
Privacy and Security of EHR and eHealth Systems
PPN - NSF NetSE Medium: Privacy Preserving Information Networks and Services for eHealthcare Systems and `Applications
MedVault - NSF CyberTrust Medium: Ensuring Security & Privacy for Medical Data (News)
Mobile Internet: Systems, Services, Applications, and Beyond
GTMobiSIM - Mobility Simulation and Trace Generator
MobiEyes - Distributed Computing Architecture and Algorithms for Processing
GeoGrid / GeoCast
- Decentralized Service Architecture for Mobile Location-based Information Delivery and Dissemination
Location Privacy - Location Privacy in Mobile
Computing Systems and Applications
Spatial Alarms / mTriggers – High Performance Architecture and Models for
Scalable Processing of Location Triggers
Distributed Computing Systems Research
- Peer-to-Peer and Grid Computing Research
- Secure Guards for Massively Distributed Computing Systems
- Ensuring Security and Privacy for Electronic Medical Records
Distributed Data Management and Large Scale Enterprise Services
- An Automated Wrapper Generation System for Web Sources
XWrapComposer - A Wrapper Generation System for
Extracting Information from Multiple Web Pages
- Continual Queries for Information Monitoring on the Web
Past Research Projects
- Internet Information Monitoring Using a Peer-to-Peer network
PeerTrust Trusted Computing in Peer to Peer
- Anonimity Support in Distributed Trust Management
VISTA - Effective Cluster
Rendering of Very Large Data Sets and an application of VISTA
iVIBRATE - Interactive
Visualization Based Framework for Clustering Large Datasets
the Critical Clustering Structure in Categorical Datasets
- Infopipes Technology for Fresh Information Delivery
THOR - Deep Web Data
Athena - Web Service
Discovery: A Source Biased Approach
- Continual Queries for Logistic Applications
Original - A Semi-Automated Wrapper Generation System for Structured or
Semi-structured Data Sources
- A Fast Object Extraction System for Web Sources
AQR - Distributed Query
- Adaptive Query Processing with varying resource
availabilities and constraints
Efficient Encoding Scheme for Web Documents
- Structurally aware change detection algorithms for HTML and XML documents
Context Cube - A
Context Aware Methodology for Managing and Accessing Sensor Data - GT Aware
Restructuring and Self-Configuring of Transactional Workflow Systems
I have taught the following courses
from 1999 to present. In Fall 2015, I am teaching a new course on Big Data Systems and Analytics (cs8803 BDS).
I also supervisee A list of cs7001
mini-projects each year.
Last updated Dec. 15, 2010. Ling Liu (lingliu
at cc dot gatech dot edu)