LINQS

STATISTICAL RELATIONAL LEARNING GROUP @ UMD

LINQS People (In alphabetical order)


Faculty:


Lise Getoor, Ph.D.
getoor AT cs.umd.edu
AVW 3135
http://www.cs.umd.edu/~getoor

Research Interests: My general research interests are in machine learning, reasoning under uncertainty, databases and artificial intelligence. Other topics of interest to me include: data integration, database query optimization and approximate query processing, entity resolution, information extraction, utility elicitation, planning under uncertainty, contraint-based reasoning, abstraction and problem reformulation. The theme of my research is building and using statistical models of structured, semi-structured and unstructured data to do useful things


Postdoctoral Researchers:


Bert Huang, Ph.D.
bert AT cs.umd.edu
AVW 3211
http://www.cs.umd.edu/~bert

Research Interests: My research interests are machine learning, probabilistic inference, large-scale learning, and relational learning. I am particularly interested in theory and application of learning in the presence of network data, looking for principled connections between the rich mathematical theory of graphs and practical learning algorithms.


Angelika Kimmig, Ph.D.
angelika AT cs.umd.edu
AVW 3251
http://people.cs.kuleuven.be/~angelika.kimmig/

Research Interests: My research interests include symbolic AI, reasoning under uncertainty, machine learning, logic programming, and especially combinations thereof such as probabilistic programming and statistical relational learning.


Ph.D. Students:

Stephen Bach
bach AT cs.umd.edu
AVW 3228
http://www.cs.umd.edu/~bach
Research Interests: My research interests are machine learning and artificial intelligence. My work focuses on probabilistic soft logic and its applications. I have a particular interest in structure learning in relational domains.
Benjamin London
blondon AT cs.umd.edu
AVW 3228
http://www.cs.umd.edu/~blondon
Research Interests: My research focuses on machine learning and statistical learning theory in relational, network and other non-i.i.d. domains.
Alex Memory
memory AT cs.umd.edu
AVW 3228
http://www.cs.umd.edu/~amemory
Research Interests: Machine learning, artifcial intelligence, reasoning under uncertainty, ontology alignment, data integration, entity resolution and information extraction.
Hui Miao
hui AT cs.umd.edu
http://www.cs.umd.edu/~hui
AVW 3220
Research Interests: My research interests are data mining and machine learning techniques for large-scale data analytics, and user friendly database management systems that are able to handle extra scale data analytics.
Walaa Eldin Mustafa
walaa AT cs.umd.edu
AVW 3228
http://www.cs.umd.edu/~walaa
Research Interests: My research interests are in database management systems and machine learning, specifically, in aspects of declarative analysis and query optimization for network analysis and relational inference, such as collective classification, link predication and entity resolution.
Shobeir Fakhraei Shobeir Fakhraei
shobeir AT cs.umd.edu
AVW 3126
http://www.cs.umd.edu/~shobeir
Research Interests: My general research interests are in machine learning, data mining, probabilistics graphical models, PSL, biomedical and health informatics, features selection, and datasets with class imbalance problems and missing values.
Jay Pujara
jay AT cs.umd.edu
AVW 3228
http://www.cs.umd.edu/~jay

Research Interests: My current research interests are cost-sensitive classification and active feature acquisition, with a particular focus on feature interdependence and acquisition cost. My goal is to apply this research in large-scale settings, with ongoing work on communication networks such as electronic mail.

Arti Ramesh
artir AT cs.umd.edu
AVW 3228
http://www.umiacs.umd.edu/~artir
Research Interests: I am interested in machine learning, graphical models, information extraction and reasoning under uncertainty and their applications in relational domains.
Theodoros Rekatsinas
thodrek AT cs.umd.edu
AVW 3220
http://www.cs.umd.edu/~thodrek

Research Interests: My research interests focus primarily on machine learning, decision making under uncertainty and their applications to large-scale problems.


Masters Students and Programmers:

Eric Norris
enorris AT cs.umd.edu
AVW 3228
http://www.cs.umd.edu/~enorris
Research Interests: I am interested in PSL, machine learning, and high-performance computing.

Auberon Scott White
whiteau AT cs.umd.edu
http://www.cs.umd.edu/~whiteau/
Research Interests: Machine learning and artificial intelligence, specifically in the entity recognition and linking in written language, information extraction and reasoning under uncertainty


Undergrad Students:

Steven Hill
smhill AT umd.edu
http://www.cs.umd.edu/~smhill/
Research Interest: machine learning, data mining, graphical models, scalability, social network, and bioinformatics.


Alumni:


Stanley Kok, Ph.D.
skok AT cs.umd.edu
http://www.cs.umd.edu/~skok
Research Interests: My research interests are in artificial intelligence, machine learning, and their applications (such as natural language processing, text mining, Web mining, and computational biology).
Current Job details
Title: Assitant Professor
Organization/Lab: Singapore University of Technology and Design
Location: Singapore, Singapore

Lilyana Mihalkova, Ph.D.
lilyanam AT alumni.cs.utexas.edu
http://www.cs.umd.edu/~lily
Research Interests: My research interests are in statistical relational learning and reasoning under uncertainty. I am currently working on, or have recently focused on, structure learning in relational domains, efficient inference, collective classification, transfer learning across relational tasks, applications to problems on the Web.
Current Job details
Title: Software Engineer
Organization/Lab: Google
Location: Santa Monica, USA

Hossam Sharara, graduated with a Ph.D degree in 2012
hossam AT cs.umd.edu
AVW 3228
http://www.cs.umd.edu/~hossam

Research Interests: I am mainly interested in machine learning and data mining in relational domains. More specifically, studying both the properties and the evolution process in dynamic social and affiliation networks.
Current Job details
Title: Software Engineer
Organization/Lab: Google


Galileo Mark S. Namata Jr., graduated with a Ph.D degree in 2012
namatag AT cs.umd.edu
AVW 3228
http://www.cs.umd.edu/~namatag
Research Interests: My current research is in the identification of entities and social network properties from email archives. Specifically, I've been looking into identifying underlying hierarchies and roles from email traffic.
Current Job details
Title: Researcher
Organization/Lab: Verisign


Louis Licamele, graduated with a Ph.D degree in 2012
licamele AT cs.umd.edu
http://www.cs.umd.edu/~licamele
Research Interests: I am interested in Machine Learning, Data Mining and Bioinformatics, with a focus in mining high-throughput data using machine learning methods. Specific tasks that I have worked on include link prediction and classification, entity classification and resolution using relational data, and domain specific feature construction.
Current Job details
Title: Head of Informatics
Organization/Lab: Vanda Pharmaceuticals, Inc
Location: Maryland, USA

Elena Zheleva, graduated with a Ph.D degree in 2011
elena AT cs.umd.edu
http://www.cs.umd.edu/~elena
Research Interests: My research interests lie in applying machine learning models to social and affiliation network problems, such as relational classification, graph generation and link prediction. I also study privacy in the context of social networks, graphical models for social media recommendations, data mining and reputation systems.
Current Job details
Title: Data Scientist
Organization/Lab: LivingSocial
Location: USA

Mustafa Bilgic, graduated with a Ph.D. degree in 2010
mbilgic AT iit.edu
http://www.cs.iit.edu/~mbilgic/
Ph.D. Thesis: Cost-Sensitive Information Acquisition in Structured Domains.
Current Job details
Title: Assistant Professor
Organization/Lab: Illinois Institute of Technology
Location: Chicago, IL


Prithviraj Sen, graduated with a Ph.D. degree in 2009
senp AT us.ibm.com
http://www.cs.umd.edu/~sen
Ph.D. Thesis: Representing and Querying Uncertain Data.
Current Job details
Title: Research Staff Member
Organization/Lab: IBM, Almaden
Location: San Jose, CA

Rezarta Islamaj, graduated with a Ph.D. degree in 2007
rezarta AT cs.umd.edu
http://www.ncbi.nlm.nih.gov/CBBresearch/Fellows/Dogan/
Ph.D. Thesis: Feature Generation and Analysis Applied to Sequence Classification for Splice-Site Prediction.
Current Job details
Title: Research Fellow
Organization/Lab: National Center for Biotechnology Information, National Library of Medicine
Location: Bldg. 38A, 10N03D 8600 Rockville Pike Bethesda, MD 20894 Tel: (301) 435 8769

Indrajit Bhattacharya, graduated with a Ph.D. degree in 2006
indrajitb AT gmail.com
http://www.csa.iisc.ernet.in/~indrajit
Ph.D. Thesis: Collective Entity Resolution in Relational Data.
Current Job details
Title: Assistant Professor
Organization/Lab: Department of Computer Science and Automation Indian Institute of Science
Location: Bangalore, India

Vivek Sehgal, graduated with a M.S. degree in 2007
vivek AT compasslabs.com
http://www.cs.umd.edu/~viveks
Research Interests: mining information from databases, data integration and duplication problem in spatial databases.
Current Job details
Title: Senior Research Engineer (Algorithms)
Organization/Lab: Compass Labs
Location: USA

Former members:

Barna Saha

barna AT cs.umd.edu

http://www.glue.umd.edu/~barna

Research Interests: Algorithms, Combinatorics, Machine Learning, Data Mining.





Samuel Huang

http://www.cs.umd.edu/~srhuang

Research Interests: My current research interests involve Machine Learning and Data Mining, especially as applied to Bioinformatics and Computational Biology.






Hyunmo Kang, Ph.D.

kang AT cs.umd.edu

http://www.cs.umd.edu/~kang

Research Interests: My general interests are (but not limited to) Human Computer Interaction, Information Visualization, User Interface Design and Implementation Personal Information Management, and Information Retrieval.



Wontaek Seo, Ph.D.

wtseo AT cs.umd.edu

http://ai.chosun.ac.kr/~wontagi

Research Interests: Pattern recognition, graphical model, document analysis, character recognition, etc.