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La, Richard J.

Richard J. La
Professor
ECE, ISR
2403 A.V. Williams Bldg.
Email: 
Phone: 
(301) 405-4914

Research Interests 

Dr. La's research interests include congestion control in the Internet, resource allocations in wireless networks, network performance modeling, and application of game theory. He has taught both undergraduate andgraduate course at UMCP on commuication networks and probability and random processes.

Background 

Richard J. La is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Maryland at College Park. He received the B.S. in Electrical Engineering from the University of Maryland at College Park in 1994, and the M.S. and Ph.D in Electrical Engineering from the University of California at Berkeley in 1997 and 2004, respectively. Before joining the department he was a member of systems engineering group at Alcatel U.S.A. and the mathematics of communication networks group at Motorola Inc.

He is a member of IEEE and has served on the technical program committee for IEEE ICC, ACM MobiHoc, and Wireless Internet.

Honors and Awards 

    •    NSF Faculty Early Career Development (CAREER) Award (2003)
 

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Munday, Waks, and Collaborators’ Research Featured on Cover of Advanced Optical Materials
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ECE Names 2017-2018 Distinguished Dissertation Fellows
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Hacking Tomorrow's Tech World
Technica was founded at UMD in 2015 to provide support for stronger gender diversification in tech. April 17, 2018

UMD Celebrates Invention of Year Winners, Ventures, and Partnerships at 'Innovate Maryland'
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Ulukus named Anthony Ephremides Professor in Information Sciences and Systems
The chaired professorship provides annual support for a faculty member in the field of Information Sciences and Systems in the Department of Electrical and Computer Engineering.  April 17, 2018

Four Clark School Professors Receive Competitive DURIP Grants
DURIP supports university research in technical areas of interest to the Department of Defense. April 13, 2018

Dinesh Manocha Elected AAAI Fellow
Manocha has been recognized for his significant contributions to robotics and multi-agent simulation. April 11, 2018

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This paper published in PNAS develops a signal processing framework for extracting dynamic functional networks from neuronal data at unprecedented resolutions. April 10, 2018

Alumnus Raef Bassily joins Ohio State as tenure-track faculty
At Maryland, Bassily was advised by Professor Sennur Ulukus. April 10, 2018

Maryland researchers awarded $1M DARPA Lagrange program cooperative agreement
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