About the Award:
The IEEE TCSC Outstanding PhD Dissertation Award is an annual award to recognize candidates that have recently received a PhD degree for no more than 2 years and have written an outstanding PhD dissertation in the field of the scalable computing. This award is established to encourage doctoral research that combines theory and practice or makes in-depth technical contributions, having the potential to contribute to the IEEE TCSC. Each award includes an award plaque that will be presented at the annual IEEE HPCC conference, along with a public citation for the award on the IEEE TCSC website.
Nominations must be submitted via email to the chair of the selection committee chair. Each application must consist of the following materials:
- A doctoral dissertation written by the applicant in any language, no more than 2 years prior to the submission deadline.
- A summary of the dissertation in English of up to 2 pages in length written by the PhD candidate, highlighting the significance of the problem, the technical approach taken, and the application context and potential.
- Sample published paper(s) in English based on the dissertation written primarily by the PhD candidate in scientific journals, especially IEEE Transactions/Journals.
- Listing of all publications by the applicant in the related field.
- A letter of recommendation from the applicant’s dissertation advisor that assesses the significance of the research, attests to the originality of the work, and comments on the engagement of the applicant in the TCSC field.
Important Dates (2017):
- Nomination Deadline: September 2017
- Results Notification: November 2017
Award Selection Committee (2017):
Note that members of the selection committee cannot be nominators or provide support letters.
Award & Presentation Note:
Awardees will be presented a plaque and will be recognized by IEEE TCSC in its website, newsletter and archives. The awards will be presented at annual IEEE HPCC conference.
========== Winners =====================
- Chunsheng Zhu, University of British Columbia, Canada, Improving Sensor-Cloud: Energy Efficiency, Security, Transmission, and Quality of Service
- Lena Mashayekhy, Wayne State University, USA, Resource Management in Cloud and Big Data Systems
- He Li, University of Aizu, Japan, Resource Optimizations in Software Defined Networking
- Qingchen Zhang, Dalian University of Technology, China, Deep Computation Model for Big Data Feature Learning