1. 1 Commercializing Research@The University of Melbourne Thas A Nirmalathas

2. Outline Changing landscape Role of MERIT Internal structure for multi-disciplinary research Overview of Research Performance How well are our staff performing University Research Agenda how well aligned is the School with the University and broader research agendas New Initiatives 2 Doreen Thomas/Thas Nirmalathas/Marija Maher

4. Funding

6. Publications

7. Knowledge transDepartments with strong discipline base

8. Major Research Focus

9. Commercilization support is normally through Melbourne Ventures Doreen Thomas/Thas Nirmalathas/Marija Maher 5

10. Melbourne Ventures is one of the University’s commercialisation support activities which are coordinated via VP (Commercialisation) Research Management Commercialisation Research……………………………………………………Teaching Technology & IP Rights Courseware & Curriculum Materials Research Services Consulting & Advisory Services Customised Award & Non-Award Courses Customised award and non award postgraduate courses Curriculum licensing Multimedia & specialised software licensing Copyright management Research contract management IP policy and procedures Connecting organisations to University of Melbourne experts Client responsive contractual and project services Patent & trademark management Technology licensing Start-up creation & investment Programs division Melbourne Ventures Melbourne Curriculum Licensing Services Melbourne Research Office Consultancy division (Melbourne Consulting and Custom Programs) VP (Commercialisation)

11. The quick summary of Melbourne Ventures Mission To build commercial value on the foundations of Intellectual Property developed at The University of Melbourne Core functions ● Technology assessment ● Technology licensing ●Patent & Trademark management ● Creation of start-up companies ●Industrial partnerships ● Attraction of investment capital Outcomes Licence deals Start-up companies Commercially driven research partnerships(typically revolving around licences & start-ups) Established 2004

12. Recent spinout – Manjrasoft Cloud computing technology, called Aneka, is used to setup enterprise Clouds and run applications both in academia and industry. In addition, our software runs on public Clouds such as Amazon EC2. Manjrasoft'score technology enables enterprises to improve performance and scalability within existing, Windows-based software application and development frameworks by distributing application processing within .NET enterprise environment Doreen Thomas/Thas Nirmalathas/Marija Maher 8

13. Research Engagement in Centres Participates in >140 Research Centres Core Participant in 12 National Cooperative Research Centres 14 Affiliated Medical Research Institutes 18 Federation Fellows Research Income (2007): A$309m Indicative research income by Faculty

14. School has a number of research centres with their individual commercialization models One such example is NICTA Doreen Thomas/Thas Nirmalathas/Marija Maher 10

15. NICTA Commercialization Projects are often “use-inspired” Entrepreneur-in-residence program They start by having a couple of projects under focus, take the researchers through Heilmeier’s questions and market opportunity assessment exercises Early discussions with “end-users” Progressively more engagement and redirection of research project towards getting them ready for commercialization Proof-of-concept grants to demonstrate technology Market Validation Grants Spin-out or licensing 11 Doreen Thomas/ThasNirmalathas/Marija Maher

16. NICTA Investment Model Doreen Thomas/Thas Nirmalathas/Marija Maher 12

17. 13 “Optical Network Monitoring” Rollout of reconfigurable optical networks Dynamic, high speed, transparent networks Sensitive to a range of impairments, very limited options for getting information Network operators essentially “flying blind” can’t monitor new generation flexible & dynamic networks Can’t efficiently diagnose faults Can’t predict problems when provisioning Operators want diagnosis and prediction systems Low cost monitors distributed around the network (OSNR and MIM) Link and lightpath configuring tools Automation of network management Network Management and Control Router Fibers Optical Signal Monitors Multi channel WDM Optical Cross-Connect Routing information and control Signal Diagnostics

18. 14 Asynchronous clock Dt Dt Dt from monitor port ADC 1 Asynchronous Delay-Tap Sampling y3 y2 x1 x3 y y1 x2 ADC 2 t x Replace clock recovery with physical delay (t) Sample pairs using external clock & plot “Phase portrait”, (Asynchronous Eye) 101 & 010 transitions Time

19. 15 Asynchronous Delay-Tap Sampling Dt Dt y2 y2 y x2 x2 x 3-bit sequences geometrically separated 110 transitions 010 & 101 transitions Time

20. 16 Impairment Signatures (simulation) Clean ASE Noise Dispersion PMD Crosstalk All Eye Clean signal OSNR 35 dB ASE Noise OSNR 25 dB 1st order PMD 40 ps, =45° In-Band Xtalk -25 dB Dispersion 800 ps/nm Delay= T T/2 T/4

22. intuition can be wrong, signatures do exist

23. Use pattern recognition techniques

25. letters overlap

26. want to know the size