If we knew what it was we were doing, it would not be called research, would it?

-- Albert Einstein

Contents

Research Interests | Research Projects | Publications

Teaching | Postdocs & Graduate Students | DiSL | Calendar

Keynotes/Panels/Tutorials/Invited Talks | Professional Services | Interesting Web Links

Important Conferences | DBLP | GT  Digital Library | BibFinder

Short Bio

Prof. Dr. Ling Liu is a full professor in the College of Computing at Georgia Institute of Technology and an elected IEEE Fellow. She directs the research programs in Distributed Data Intensive Systems Lab (DiSL). Her current research interests are centered on data and intelligence powered computing, such as artifical intelligence, machine learning, knowledge discovery and data mining, big data systems and analytics. Concretely, she is interested in developing innovative and efficient learning algorithms and systems for multi-modality of data, as well as algorithms and optimizations for improving performance, availability, security, privacy, trust of data and intelligence powered computing systems and applications, such as cloud and edge computing, distributed computing, Internet of smart things, Mobile computing and location based services, wireless and sensor networked computing, peer to peer and blockchain computing. Prof. Liu has published over 300 international journal and conference articles with high citations at Google scholar. Her research group has produced a number of open source software systems, among which the most popular ones include WebCQ,  XWRAPElite, PeerCrawl, GTMobSIM, SHAPE, NEAT, TripleBit (jointly with Prof. Pingpeng Yuan), MemFlex, MemPipe, XMemPod, AdaTrace, FUSE, Fed-CDP, LRBench, XEnsemble1.0, Data Poisoning in FL.

Prof. Dr. Liu is a recipient of IEEE Computer Society Technical Achievement Award (2012) and an Outstanding Doctoral Thesis Advisor award from Georgia Institute of Technology in 2012. Her research group has been a recipient of the best paper awards from numerous top venues, including ICDCS 2003, WWW 2004, 2005 Pat Goldberg Memorial Best Paper Award, IEEE Cloud 2012, IEEE ICWS 2013, Mobiqutious 2014, APWeb 2015, IEEE/ACM CCGrid 2015, IEEE Symposium on Big Data 2016, IEEE Edge 2017 and IEEE IoT 2017. Prof. Dr. Ling Liu has served as a general chair or a PC chair of numerous IEEE and ACM conferences in data engineering, very large databases, Big data, and distributed computing fields, and most recently, co-PC chair of the 2019 International Conference on World Wide Web. Prof. Liu has been on editorial board of over a dozen international journals, and served as the Editor In Chief of IEEE Transactions on Service Computing (2013-2016). Currently, Prof. Liu is the Editor in Chief of ACM Transactions on Internet Technology (TOIT). Prof. Dr. Liu's current research has been primarily sponsored by NSF, IBM, Intel and CISCO edge computing.

Active Research Projects

I no longer maintain the updated list for my projects here. Interested readers may visit our github website for updated projects.

Big Data powered Artifical Intelligence, Machine Learning, and Cognitive Computing Systems

GTDLBench - Benchmarking Deep Learning Frameworks

LRBench - Benchmarking Learning Rate Policies for Deep Neural Networks

DP Model_Publishing - Differentially Private Model Publishing

CLDP - Condensed Local Differential Privacy for Privacy Preserving Data Collection

GT Attack Pod - GT Attack Pod (MODEF)

DLEdge - Deep Learning on Edge Devices (Intel Sponsored)

NGramCNN - Learning to classify graph objects with a deep convolutional neural network (incl. software download).

AdaTrace - Differentially Private and Attack Resilient Approach to Large Scale Mobile Trajectory Synthesis

DPStar - Differentially Private Publishing of Spatial Trajectories

SI-Cluster - Social Influence Analytics in Heterogeneous Information Networks (software download)

VEPathCluster - Social Influence Analytics in Heterogeneous Information Networks (software download)

GraphLens - Social Influence Analytics in Heterogeneous Information Networks (software download)

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

In Memory Computing Systems and Optimizations

XMemPod

XBigPage

FastSwap

DAHI

MemFlex

MemPipe

Privacy Preserving Data Analytics

Adversarial Deep Learning with Privacy Awareness

PPML - Privacy Preserving Machine Learning

PrivacyGuard - NSF SaTC Medium: Privacy Preserving Computations in Big Data Clouds

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 )

Mobile Internet: Systems, Services, Applications, and Beyond

GTMobiSIM - Mobility Simulation and Trace Generator (GTMobiSIM Visualizer)

MobiEyes - Distributed Computing Architecture and Algorithms for Processing Location Queries

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

Location based Access Control (LBAC) – Secure Location Determination and Verification: Models and Techniques

 

Distributed Computing Systems Research

GTPeers - Peer-to-Peer and Grid Computing Research

HyperBee / Apoidea / PeerCrawl - Peer-to-Peer Web Crawling and Search

SGuard - Secure Guards for Massively Distributed Computing Systems

MedVault - Ensuring Security and Privacy for Electronic Medical Records

Guarding the Next Internet Frontier: Countering Denial of Information

 

Distributed Data Management and Large Scale Enterprise Services

XWrapElite - An Automated Wrapper Generation System for Web Sources

XWrapComposer - A Wrapper Generation System for Extracting Information from Multiple Web Pages

WebCQ - Continual Queries for Information Monitoring on the Web

Privacy-preserving Data Classification using Geometric Transformations

Enterprise Workflow and ServiceOriented Computing

Privacy Preserving in Data Stream and Event Stream Mining

Storage as Service: Architectures and Models for Performance, Failure Resilience, and Security

 

Past Research Projects

PeerCQ - Internet Information Monitoring Using a Peer-to-Peer network

PeerTrust  Trusted Computing in Peer to Peer Systems

TrustMe - Anonimity Support in Distributed Trust Management Systems

Edge Caching Grid for Dynamic Content Delivery

Scientific Data Management and BioComputing

VISTA - Effective Cluster Rendering of Very Large Data Sets and an application of VISTA

iVIBRATE - Interactive Visualization Based Framework for Clustering Large Datasets

BestK: the Critical Clustering Structure in Categorical Datasets

Infosphere - Infopipes Technology for Fresh Information Delivery

THOR - Deep Web Data Extraction

Athena - Web Service Discovery: A Source Biased Approach

OpenCQ - Continual Queries for Logistic Applications

XWrap Original - A Semi-Automated Wrapper Generation System for Structured or Semi-structured Data Sources

Omini - A Fast Object Extraction System for Web Sources

AQR - Distributed Query Routing

Ginga - Adaptive Query Processing with varying resource availabilities and constraints

PageDigest Efficient Encoding Scheme for Web Documents

Sdiff - Structurally aware change detection algorithms for HTML and XML documents

Context Cube - A Context Aware Methodology for Managing and Accessing Sensor Data - GT Aware Home

TAM - Restructuring and Self-Configuring of Transactional Workflow Systems

Diorama/DIOM

EVOLVE

DISIMA

Data Mining and Data Warehousing

 

Courses

I have taught the following courses from 1999 to present. I have also created the course cs6220 (used to be cs8803 BDS since 2015. From 2021, all courses will be made available on Canvas instead.

CS6220: Big Data Systems and Analytics ( From Fall 2021, the course is accessible on canvas, Fall 2020, Fall 2019, Fall 2018, Fall 2017, Fall 2016, Fall 2015)

CS6675/CS4675: Advanced Internet Computing Systems and Application Development ( From Spring 2021 forward, the course is accessible on Canvas, Spring 2020, Spring 2019, Spring 2018, Spring 2017, Spring 2016, Spring 2015, Spring 2014, Spring 2013, Spring 2012,

used to be cs8803 AIA: 2011, 2010, 2009, 2008, Spring 2007, Spring 2006, Spring 2005, Spring 2004)

CS4420: Database System Implementation ( Fall 2014, Fall 2013, Spring 2013, Spring 2005, Spring 2004, Spring 2003)

CS4440: Emerging Database Technologies (Fall 2009, Fall 2008, Fall 2007)

CS1371: Computing for Engineers (Spring 2007)

cs3210 Design of Operating Systems (2011 Fall)

CS4400: Introduction to Database Systems (Spring 2006, Spring 2002, Spring 2000)

I have taught the following courses during 1997-1999 at OGI:

CSE515 Distributed Computing Systems

CSE543/CSE583 Distributed Information Management on the Net

I also supervisee A list of cs7001 mini-projects each year.

Research Groups

Distributed data Intensive Systems Lab (DiSL (very old and need to update))

Systems Research Group

Database Research Group

ML Foundation Research Group

 

Last updated Aug. 18, 2016. Ling Liu (lingliu at cc dot gatech dot edu)