Dr. Valeri Ougrinovski

Professor

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Biography

Professor Valeri Ougrinovski is a leading figure in the field of mathematical control systems theory, particularly within the branch of Applied Mathematics, which focuses on the methodologies for analysis and design of engineering control systems. His primary research interests center on robust control systems, which are essential in maintaining optimal performance despite the presence of modelling errors and disturbances. Over the years, he has made significant contributions through developing methodologies such as the stochastic version of H-infinity control theory. In collaboration with colleagues from the Australian National University, he contributed to the Minimax Linear-Quadratic-Gaussian control design methodology, bridging the gap between robust control techniques and optimal control design. His current research is focused on addressing the challenges posed by distributed control and estimation in large-scale complex systems, aiming to develop reliable systems characterized by successful cooperation among their constituent elements, especially under information constraints.

Research Interests

Experience

Professor

2005-01-01 — Present

University of New South Wales • Canberra, Australia

Leading research in control systems and applied mathematics.

Requirements for University of New South Wales

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:23
Reading
Required:23
Writing
Required:23
Speaking
Required:23
Total
Required:90
PTE
Listening
Required:54
Reading
Required:54
Writing
Required:54
Speaking
Required:54
Overall
Required:64
Prerequisites
Recognised Bachelor degree Minimum 1 year relevant work experience for certain streams
Application Checklist
  • Academic Transcripts
  • Proof of English Language Proficiency
  • Curriculum Vitae (CV)
  • Personal Statement
  • Copy of Passport
Specialization Notes

Includes Business Intelligence, Enterprise Systems, and Cybersecurity Management streams.