Research

The result of research is the generation of new knowledge. The "ownership" of that new knowledge, especially when it is knowledge with commercial implications and/or results in scholarly publications, is a sensitive issue. The question of ownership in the context of the student-supervisor relationship is often complicated by the close collaboration between supervisor(s) and student during the course of the research. It is further complicated by the fact that the University and possibly an outside agency provide resources (e.g. space, library, equipment, supplies) in support of the research.

At Simon Fraser University, unlike many other universities, the person (student, staff or faculty member) who generates patentable new knowledge is the owner of that knowledge; the University makes no claim on it, unless the University is asked to help with the patenting of the idea [see Policy R30.02]. The main federal and provincial agencies which support university research through research grants (NSERC, SSHRC, CIHR and SCBC) also make no claims on the results. On the other hand, copyrightable new knowledge (e.g. books and software) is usually owned jointly by the author and the University; consult Policy R30.01.

Research contracts with government agencies or private companies often stipulate that the rights to commercial exploitation of a discovery belong in full or in part to the sponsoring agency. Because it is University policy that the rights to a patentable discovery belong to the discoverer(s), the University will approve contracts containing such stipulations, as long as they do not restrict the ultimate publication of the results (see Graduate General Regulation 1.11.3).

Please see R30.03: Intellectual Property Policy for full details.

Graduate Students and Intellectual Property

The question which is most likely to cause difficulty is the calculation of the degrees of "ownership" held by the student and by the supervisor(s) who are involved in the research. There are no University regulations governing this area and research contracts normally do not differentiate among the University researchers as to which of them retain the rights not claimed by the sponsoring agency.

It is therefore very important that students and their supervisors reach agreement, in advance, on the principles under which the "ownership" of patent and license rights and the authorship of resultant publications will be decided. Because of the uncertainties intrinsic to research, it is often not possible to agree in advance on the rights to specific discoveries.

There is very wide variation among the disciplines in the style and nature of supervision and in the degree of involvement of the supervisor(s) in the research. Therefore, it is not possible to provide further guidance that would be generally useful; some departments have their own policies in this area and students should consult the graduate program chair.

After consulting R30.03: Intellectual Property Policy, you should also download Appendix C: Intellectual Property Disclosure Form (Word). This may help you untangle intellectual property ownership.

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Defences and Events

  • Adhi Susilo PhD Education Thesis Examination
    10:00 AM - 1:00 PM
    May 30, 2013
    No Description
  • Haiyang Wang, Phd defence, Comp Sci
    11:30 AM - 1:30 PM
    May 30, 2013
    Ph.D. Thesis DEFENSE HAIYANG WANG Master from Tongji University, CHINA 2005 Thursday May 30th, 2013 11:30 a.m. TASC1 9204 West FROM PEERS TO CLOUDS: DISTRIBUTED RESOURCES FOR CONTENT DELIVERY AND USER COLLABORATION In this thesis, we tackle the problem of content delivery and user collaboration with emerging Internet technologies. Our investigation starts from peer-to-peer (P2P) sharing with social relations to contemporary cloud computing with flexible resource provisioning. We seek to leverage distributed resources for efficient sharing and collaboration, which leads to a hybrid system design that seamlessly bridges users' local resources to public datacenters. We first explore social-network-based optimizations in peer-to-peer content delivery. We give solid evidences that long-term social relations can be found and applied to enhance the sharing efficiency in peer-to-peer networks, and present practical implementation strategies for the popular BitTorrent system. We then investigate the performance of cloud-based file synchronization applications and identify the bottlenecks in their system design, in particular, the task interferences. We propose an interference-aware provisioning algorithm, which effectively mitigates the problem. We further examine the users' interactions in state-of-the-art cloud-based distributed interactive applications. We find that, despite the benefit in terms of cost savings and better scalability, the cloud-based deployment greatly increases the users' interaction latency. We demonstrate that a smart assignment algorithms for virtual machines can remarkably reduce such latency. Finally, we present a real-world system design that effectively bridges users' local resources to enterprise cloud platforms. Our measurements as well as system analysis indicate that it serves as a complement of great potentials to enterprise cloud services. Ph.D. Examining Committee: Dr. Jiangchuan Liu, Senior Supervisor Dr. Mohamed Hefeeda, Supervisor Dr. Qianping Gu, Internal Examiner Dr. Kui Ren, External Examiner Dr. Steven Pearce, Chair
  • PhD Defence, Haiyang Wang, Comp Sci
    11:30 AM - 1:30 PM
    May 30, 2013
    Ph.D. Thesis DEFENSE HAIYANG WANG Master from Tongji University, CHINA 2005 Thursday May 30th, 2013 11:30 a.m. TASC1 9204 West FROM PEERS TO CLOUDS: DISTRIBUTED RESOURCES FOR CONTENT DELIVERY AND USER COLLABORATION In this thesis, we tackle the problem of content delivery and user collaboration with emerging Internet technologies. Our investigation starts from peer-to-peer (P2P) sharing with social relations to contemporary cloud computing with flexible resource provisioning. We seek to leverage distributed resources for efficient sharing and collaboration, which leads to a hybrid system design that seamlessly bridges users' local resources to public datacenters. We first explore social-network-based optimizations in peer-to-peer content delivery. We give solid evidences that long-term social relations can be found and applied to enhance the sharing efficiency in peer-to-peer networks, and present practical implementation strategies for the popular BitTorrent system. We then investigate the performance of cloud-based file synchronization applications and identify the bottlenecks in their system design, in particular, the task interferences. We propose an interference-aware provisioning algorithm, which effectively mitigates the problem. We further examine the users' interactions in state-of-the-art cloud-based distributed interactive applications. We find that, despite the benefit in terms of cost savings and better scalability, the cloud-based deployment greatly increases the users' interaction latency. We demonstrate that a smart assignment algorithms for virtual machines can remarkably reduce such latency. Finally, we present a real-world system design that effectively bridges users' local resources to enterprise cloud platforms. Our measurements as well as system analysis indicate that it serves as a complement of great potentials to enterprise cloud services. Ph.D. Examining Committee: Dr. Jiangchuan Liu, Senior Supervisor Dr. Mohamed Hefeeda, Supervisor Dr. Qianping Gu, Internal Examiner Dr. Kui Ren, External Examiner Dr. Steven Pearce, Chair
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