Clark School Home UMD
ECE

News Story

Baras Presents Distinguished Lecture at UC Irvine

Baras Presents Distinguished Lecture at UC Irvine

Prof. John Baras
Prof. John Baras

Professor John Baras (ECE/ISR) recently gave a distinguished lecture, “Trust and Reputation in Networked Systems: Social, Information, Communication, Control,” at the University of California, Irvine. The lecture was part of the distinguished lecture series of the Networked Systems Program, a joint program between the Henry Samueli School of Engineering and the Donald Bren School of Information and Computer Sciences. The program is also part of the California Institute for Telecommunications and Information Technology (Calit2), a two-campus multidisciplinary research institute that integrates UCI and UCSD faculty expertise with industry insight. Calit2 seeks innovative information technology approaches that will benefit society and ignite economic development in a wide range of areas, including the environment, transportation, emergency management, healthcare, global economics, education and entertainment.

Abstract from November 20, 2009 Lecture
:

Trust and reputation are critical concepts in networks—communication, control, computer, social, web-based social, economic, biological. Trust evaluation leads to the development of relations and collaborations. These evaluations are based either on direct ‘communal’ monitoring and inference by the nodes, or on indirect references and credentials. We describe new fundamental ways for analyzing and evaluating trust in autonomic networked systems. The indirect evaluation process is modeled as a path problem on a directed graph, where nodes represent entities, and edges represent trust relations. We develop a novel formulation of trust computation as ‘linear’ iterations on partially ordered semirings. The direct trust evaluation process is modeled as iterated games on dynamic graphs. We present several explicit examples. We present the methodology of constrained coalitional dynamic games that we have developed for studying the effects of trust on collaboration. We provide several examples with quantitative evaluation of trust on distributed inference and control systems using a combination of these new algebraic and analytical methods.

December 18, 2009


Prev   Next

Current Headlines

New Equipment and Science Capabilities at Army Research Lab

Khaligh receives grant for electric vehicle charger/converter

UMD Researchers Use Artificially Engineered Materials to Create Breakthrough for Sound Sensors

UMD Partners with MITRE on Cybersecurity Research and Development Center

Liu Delivers Keynote at INTERSPEECH 2014

Barg Awarded $300K NSF Grant to Research Data Storage and Recovery Methodologies

Itzhak Tamo Accepts Assistant Professorship

Khaligh receives U.S. Patent 8,853,888 for multiple-input DC-DC converter

News Resources

Return to Newsroom
Search News
Archived News

Events Resources

Events Calendar

Additional Resources

UM Newsdesk
Faculty Experts