search

UMD     This Site





Professor John Baras (ECE/ISR) recently gave an invited lecture at the National Science Foundation on important research problems and challenges in complex networks. Baras spoke on May 11 to the Large Scale Networking (LSN) coordinating group (CG) of the Networking and Information Technology Research and Development (NITRD) program.

The LSN CG of the NITRD federal community consists of senior research managers and researchers in networking research and has a strong interest in assessing the capabilities and status of research on network complexity. Dr. Baras?s lecture, ?Complex Dynamic Networks: Architectures, Games, Components, Probability? is available at the NITRD website.

Dr. Baras described his recent research results on the foundations of network science, including models of multiple interacting dynamic hypergraphs, collaboration in networks and constrained coalitional games, dynamic trust in networks, component-based network synthesis, effects of topology on performance, the need for new probability models, dynamics of biological networks and cancer research. He described the most promising and challenging problems for future research, emphasizing the interactions between multiple graphs used in network modeling, the need for developing a taxonomy of network architectures, the need to develop formal methods for compositional synthesis and verification of network protocols and the need for non-Kolmogorov probability models for representing the multitude of data in complex networks.

NITRD is the nation?s primary source of federally funded revolutionary breakthroughs in advanced information technologies such as computing, networking, and software. NITRD represents a unique collaboration of more than a dozen federal research and development agencies. The LSN CG coordinates the activities of the Large Scale Networking Program Component Area. LSN members coordinate federal agency networking R&D in leading-edge networking technologies, services, and enhanced performance. This includes programs in network security, new network architectures, heterogeneous networking (optical, mobile wireless, sensornet, IP?), high data transport, federation across networking domains, testbeds, end-to-end performance measurement, and advanced network components. LSN also is active in grid and collaboration networking tools and services; and engineering, management, and use of large-scale networks for scientific and applications R&D. The results of this coordinated R&D, once deployed, can help assure that the next generation of the Internet will be scalable, trustworthy, and flexible.



Related Articles:
Baras gives semi-plenary lecture at NTNS2010
Baras gives plenary lecture at DYCOPS 2010
Baras delivers distinguished lecture at UAEU
Baras addresses National Science Foundation's annual ERC meeting

June 11, 2010


«Previous Story  

 

 

Current Headlines

Khaligh Honored With Linda Clement Outstanding Advisor Award

UMD Launches Institute Focused on Ethical AI Development

Remembering Rance Cleaveland (1961-2024)

Dinesh Manocha Inducted into IEEE VGTC Virtual Reality Academy

ECE Ph.D. Student Ayooluwa (“Ayo”) Ajiboye Recognized at APEC 2024

Balachandran, Cameron, Yu Receive 2024 MURI Award

UMD, Booz Allen Hamilton Announce Collaboration with MMEC

New Research Suggests Gossip “Not Always a Bad Thing”

Ingestible Capsule Technology Research on Front Cover of Journal

Governor’s Cabinet Meeting Features Peek into Southern Maryland Research and Collaboration

 
 
Back to top  
Home Clark School Home UMD Home