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Vladimir Tosic, Ph.D.

Vladimir Tosic

Researcher


Member of the NICTA Business Adaptation and Interoperation (a.k.a. Business Process Technologies, ArMaTure) project; former member of the NICTA LIXI Business Processes and Technologies project

Visiting Fellow at the School of Computer Science and Engineering of the University of New South Wales (Sydney, New South Wales, Australia)

Adjunct Research Professor at the Department of Computer Science of the University of Western Ontario (London, Ontario, Canada)

E-mail: vladat (server: computer.org); Work telephone: +61(2)9376-2206; WWW page: http://www.nicta.com.au/people/tosicv; Postal address: Managing Complexity Research Group, NICTA, Locked Bag 9013, Alexandria, NSW 1435, Australia

INVITATION TO PROSPECTIVE STUDENTS

Our NICTA group conducts exciting and world-leading research at the intersection of business-driven IT (information technology) [system] management (BDIM), autonomic computing, value-based software engineering (VBSE), IT governance, business process management (BPM), and service-oriented computing (SOC). The Business-IT Adaptation technology of the Business Adaptation and Interoperation project is an example of the topics we are interested in. We are looking for high-quality graduate and undergraduate students. In most cases, our students study at the School of Computer Science and Engineering (CSE) of the University of New South Wales (UNSW) in Sydney and conduct research at NICTA labs in the Australian Technology Park in Sydney. Almost all among our Ph.D. students win prestigious scholarships that financially support them during their studies. For further information, prospective students should e-mail their academic curriculum vitae (CV), past publications in English (if any), and (official or unofficial) lists of marks from all past university-level courses to Dr. Vladimir Tosic with "Interested in PhD Studies at UNSW/NICTA" in the Subject line.

AREAS OF CURRENT RESEARCH INTEREST

  • Business-driven run-time management (monitoring and control, particularly dynamic adaptation without human intervention) of complex computing/software systems and business processes they implement
  • Software for integration of business process management and distributed system management
  • Software engineering resulting in self-managing/autonomic computing systems
  • Emerging distributed computing technologies, particularly for service-oriented computing, grid/utility/cloud computing, mobile computing, and pervasive/ubiquitous computing
  • Software technologies for electronic (e-) and mobile (m-) business
  • Strategies for commercialization of academic software engineering research
  • Software patents and patent analysis software