Julio H. Braslavsky
Short Biography
Julio H. Braslavsky was born in Resistencia,
Argentina, in 1962. He received the Ingeniero Electrónico
degree from the Universidad Nacional de Rosario, Argentina in 1989,
and the Ph.D. degree from The University of Newcastle,
Australia in 1996.
From 1989 to 1992 he served as an Instructor in Physical System
Modelling at the Department
of Electronics, Universidad Nacional de Rosario, Argentina. From
1995 to 1999 he held the following post-doctoral positions:
- Research Associate (10 months, 1995-1996) at the Centre for Industrial Control
Science, The University of Newcastle, during which he wrote the
book Fundamental Limitations in Filtering and Control
(Springer, 1997), in collaboration with Prof. Graham Goodwin and
Maria Marta Seron;
- Postdoctoral Fellow (3 months, 1996) at the Centre for Systems
Engineering, Automatics and Applied Mechanics (CESAME),
Université Catholique de Louvain, Louvain-la-Neuve,
Belgium;
- Visiting Researcher (1 year, 1997) at the Center for Control Engineering
& Computation (CCEC), Department of Electrical & Computer
Engineering, University of California, Santa Barbara, USA, where he
worked with Prof. Petar Kokotovic and Prof. David Mayne on
robust and optimal control of nonlinear systems and optimal linear
filtering;
- Research Academic (16 months, 1998-1999) at the Centre for Integrated
Dynamics and Control, The University of Newcastle, Australia,
where he worked with Prof. Graham Goodwin on quantification of
uncertainty in system identification, and on performance limitations
for nonlinear systems with Prof. Rick Middleton.
From 1999 to 2002 he was an Associate Professor with the Department
of Science and Technology, Universidad
Nacional de Quilmes, Argentina, where he collaborated in the
development of the new undergraduate course Automation and Industrial
Control Engineering.
Currently, he works as a Research Academic with the Centre for Complex Dynamic
Systems and Control at the University of Newcastle.
His current research interests include control over communication
channels, nonlinear control, feedback design limitations, optimal
control, and sampled-data control.