Algorithms and Theory

Broadly speaking, the goals of the research are to provide a mathematical understanding of fundamental problems in Computer Science and other application areas. Research interests of the faculty include algorithms for networks and distributed systems, data structure, semantics of programming languages, optimizing compilers, and data compression and image processing. 

 

Xiuzhen (Susan) Cheng

Professor

Department: Computer Science
Phone: (202) 994-9751
Email: cheng@gwu.edu
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Research Interest: Professor Xiuzhen "Susan" Cheng's research spans the broad area of wireless networking and mobile computing. She is currently working on a few projects that tackle the challenges of efficient network resource management, role-based access control and secure communications, dynamic spectrum access, and economically-robust/secure auctions. Professor Cheng is also interested in applying wireless networking to public health. She has been working on target vaccination based on social networks, security and privacy concerns in wireless body area networks, and safety enhancement via vehicle networks.
 


Hyeong-Ah Choi

Professor

Department: Computer Science
Phone: (202) 994-5916
Email: hchoi@gwu.edu
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Research Interest: Professor Hyeong-Ah Choi's research lab centers its activities on graph and optimization algorithms in network problems and on analysis and design of algorithms relevant to modern massive data problems. Current projects include the development of low-complexity algorithms to find underutilized wireless channels in cognitive radio networks and the analysis of modern online education content in finding optimal learning paths.
 


Claire Monteleoni

Associate Professor

Department: Computer Science
Phone:  202-994-6569
Email: cmontel@gwu.edu
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Research Interest:  Professor Claire Monteleoni's Machine Learning Group is concerned with developing principled methods (known as algorithms) to automatically detect patterns in data. In this era of "Big Data," the various forms of complexity inherent in real data sources increasingly pose challenges for machine learning algorithm design. The GW Machine Learning Group works on the design, analysis, and application of machine learning algorithms, motivated by problems in real data sources, including learning from data streams, learning from raw (unlabeled) data, learning from private data, and climate informatics: accelerating discovery in climate science with machine learning.
 


Abdou Youssef

Professor

Department: Computer Science
Phone: (202) 994-0388
Email: ayoussef@gwu.edu
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Research Interest: Professor Abdou Youssef's research interests are search and retrieval, audio-visual data processing, pattern recognition, data error recovery, theory and algorithms. He and his students developed a system for the Federal government to recover from fax errors without retransmission. Recently, he has created for NIST a new math-search engine for its Digital Library of Mathematical Functions (DLMF) intended for scientists, engineers, and all users of mathematics; this search engine is first of its kind and is deployed online at http://dlmf.nist.gov/. Currently, his students and he are working on sentiment-detection in documents that involve reviews of medical devices/procedures and other types of reviews, as well as developing sophistical mathematical search techniques that enable knowledge discovery.