个人简历

I am currently an Assistant Professor in the High Performance Computing Research Institute of Shenzhen University. Before that, I was a postdoc fellow of the Ascola team at INRIA Rennes, closely working with Dr. Shadi Ibrahim on big data management and cloud computing. I obtained my PhD degree in 2016 from Nanyang Technological University (NTU), Singapore, under the supervision of Dr. Bingsheng He. I received my Bachelor's degree in 2009 and Master's degree in 2011 both from Beihang University, China.
Research Experience
May 2016 ~ Aug 2017 Postdoctoral researcher at INRIA-Rennes, France
Aug 2015 ~ Apr 2016 Research Associate at Nanyang Technological University, Singapore
Education
Nanyang Technological University, Singapore
Ph.D., Computer Science, Apr 2016
Thesis: Simplified and Effective Resource Provisioning for Scientific Workflows in IaaS Clouds
Beihang University, Beijing, China
M.S., Electronic Engineering, Dec 2011
Thesis: Research on the Model and Algorithms for Air Route Network Optimizations
Beihang University, Beijing, China
B.E. with Honors, Electronic Engineering, Aug 2009
Awards
INRIA Postdoctoral Fellowship
Spotlight Article Recipient, IEEE Transactions on Cloud Computing
Best PhD Consortium Award, CloudCom'14
Student Travel Grant, IPDPS'14
Research Scholarship, NTU
Graduated with Highest Honors, Beihang University
First Prize Academic Award (top 1%), Beihang University
First Prize in Beijing Undergraduate Electronic Design Contest

研究领域

research interests include cloud computing, big data processing, distributed systems and resource management. Specifically, I'm interested in designing and building cost-efficient resource management systems for the cloud, with an emphasis on big data processing applications

近期论文

[ICPP] Amelie Chi Zhou, Tien-Dat Phan, Shadi Ibrahim, Bingsheng He, Energy-Efficient Speculative Execution using Advanced Reservation for Heterogeneous Clusters, accepted by ICPP 2018, Eugene, OR, USA, Aug 2018.
[FGCS] Orcun Yildiz, Amelie Chi Zhou, Shadi Ibrahim, Improving the Effectiveness of Burst Buffers for Big Data Processing in HPC Systems with Eley, in Future Generation Computer Systems, Mar 2018.
[CCGrid] Jad Darrous, Shadi Ibrahim, Amelie Chi Zhou, Christian Pérez, Nitro: Network-Aware Virtual Machine Image Management in Geo-Distributed Clouds, in CCGrid 2018, Washington D.C., USA, May 2018.
[ICPADS] Zhaojie Niu, Bingsheng He, Amelie Chi Zhou, Lau Chiew Tong, Multi-Objective Optimizations in Geo-Distributed Data Analytics Systems, in ICPADS 2017, Shenzhen, China, Dec 2017.
[SC] Amelie Chi Zhou, Yifan Gong, Bingsheng He and Jidong Zhai, Efficient Process Mapping in Geo-Distributed Cloud Data Centers, in SC 2017, Denver, CO, USA, Nov 2017.
[CLUSTER] Orcun Yildiz, Amelie Chi Zhou, Shadi Ibrahim, Eley: On the Effectiveness of Burst Buffers for Big Data Processing in HPC Systems, in CLUSTER 2017 (short paper), Honolulu, HI, USA, Sep 2017.
[Euro-Par] Tien-Dat Phan, Shadi Ibrahim, Amelie Chi Zhou, Guillaume Aupy and Gabriel Antoniu, Energy-Driven Straggler Mitigation in MapReduce, in Euro-Par 2017, Spain, Aug 2017.
[ICDCS] Amelie Chi Zhou, Shadi Ibrahim, Bingsheng He, On Achieving Efficient Data Transfer for Graph Processing in Geo-Distributed Datacenters, In ICDCS 2017 (Applications and Experiences Track), Atlanta, GA, USA, Jun 2017.
[ICDE] Shuhao Zhang, Bingsheng He, Daniel Dahlmeier, Amelie Chi Zhou, Thomas Heinze, Revisiting the Design of Data Stream Processing Systems on Multi-Core Processors, In ICDE 2017, San Diego, CA, USA, Apr 2017.
[TPDS] Amelie Chi Zhou, Bingsheng He, Xuntao Cheng, Chiew Tong Lau, A Declarative Optimization Engine for Resource Provisioning of Scientific Workflows in Geo-Distributed Clouds, in IEEE TPDS vol. 28, no. 3, pp. 647-661, Mar 2017.
[Book Chapter] Amelie Chi Zhou, Bingsheng He, Shadi Ibrahim, A Taxonomy and Survey of Scientific Computing in the Cloud, in Rajkumar Buyya, Rodriog N. Calheiros, and Amir Vahid Dastjerdi: Big Data: Principle and Paradigms, Chapter 17, Publisher: Morgan Kaufmann, 2016.
[SC] Yifan Gong, Bingsheng He, Amelie Chi Zhou, Monetary Cost Optimizations for HPC Applications on Amazon Clouds: Checkpoints and Replicated Execution, in SC 2015, Austin, TX, USA, Nov 2015.
[HPDC] Amelie Chi Zhou, Bingsheng He, Xuntao Cheng, Chiew Tong Lau, A Declarative Optimization Engine for Resource Provisioning of Scientific Workflows in IaaS Clouds, in HPDC 2015, Portland, OR, USA, Jun 2015..
[TCC] Amelie Chi Zhou, Bingsheng He, Cheng Liu, Monetary Cost Optimizations for Hosting Workflow-as-a-Service in IaaS Clouds, in IEEE TCC 4(1): 34-48 (2015).
[TPDS] Bingsheng He, Jeffrey Xu Yu, Amelie Chi Zhou, Improving Update-Intensive Workloads on Flash Disks Through Exploiting Multi-Chip Parallelism, in IEEE TPDS 26: 152-162 (2015).
[CloudCom] Amelie Chi Zhou, Bingsheng He, Simplified Resource Provisioning for Workflows in IaaS Clouds, in CloudCom 2014, Best PhD Consortium Award, Singapore, Dec 2014.
[TCC] Amelie Chi Zhou, Bingsheng He, Transformation-based Monetary Cost Optimizations for Workflows in the Cloud, in IEEE TCC 2(1): 85-98 (2014), Spotlight article of the issue, invited presentation in IEEE CloudCom 2014.