Bilkent University
Department of Computer Engineering
S E M I N A R
The phenomenal growth of the Internet implies that
network users operate in a setting in which connectivity,
topology and bandwidth are basically unknown to them. We will describe an
experimental system which allows users to take advantage of on-line
measurements and self-adaptation to seek network performance which approximates
their QoS requirements in quasi-real
time. Brief Bio:
Erol Gelenbe is known for his work in computer and network
performance analysis, as well as for novel research in spiked random
neural networks. A Fellow of ACM and IEEE, he served as the
University Chair Profesor of EECS at University of Central Florida and
for five years as founding director of the School of EECS,
which includes degree programs in Computer Science, Electrical
Engineering, Computer Engineering and Information Technology. During
the period 1998-2003 the SEECS recruited over 25 faculty of all ranks,
and tripled the size of its graduate programs. During the same period
Dr Gelenbe graduated six PhD students and has been awarded over $4
million in grants as a principal or co-principal investigator. He
is currently funded by NSF, ARO, NAWC, Lucent, and Adaptec. The author
of four books which have appeared in English, French, Japanese and
Korean, Erol has published over 105 journal articles and has received
several professional awards. Dr Gelenbe has been awarded the Dennis
Gabor Chair at Imperial College, where he has just received grants
from EPSRC to work on Self-Aware Networks, and from the Ministry of
Defence to work on Data Fusion.
DATE:
June 30, 2003, Monday @ 11:00
PLACE:
EA-409