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November, 2013

Microsoft Research Connections Blog

The Microsoft Research Connections blog shares stories of collaborations with computer scientists at academic and scientific institutions to advance technical innovations in computing, as well as related events, scholarships, and fellowships.

November, 2013

  • Microsoft Research Connections Blog

    Windows Azure for Research Award winners

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    Microsoft Research is pleased to announce the successful applicants in our first round of Windows Azure for Research awards. You didn’t make it easy for us—we received many good quality proposals. Our selection committee evaluated each submission in terms of its potential to accelerate research and its suitability for deployment on the Windows Azure cloud platform. There were far more outstanding proposals than we could accommodate during this first round of awards.

    Windows Azure for Research awardees came from all over the world.

    Difficult though it was, we selected 35 proposals for the initial set of awards. The award recipients come from 15 countries/regions and represent a variety of research domains, including scholarly communication and collaboration, big data and machine learning, urban informatics, genomics and related health science, geo and environmental science, and computer science. Each selected project will receive a substantial allocation of Windows Azure compute and storage resources to support the research over the next 12 months. 

    The deadline for the next round of proposals is December 15, 2013. Applicants are also encouraged to attend one of our cloud computing for research training events, which are being held at locations around the world.

    The first-round selected projects are:

    • Adam Farquhar, The British Library, United Kingdom, British Library Labs in the Cloud
    • Animashree Anandkumar, University of California, Irvine, United States, Large-scale Unsupervised Learning via Tensor Methods: Applications in Social Networks and Text & Image Analysis
    • Anna Izabel J. Tostes, Federal University of Minas Gerais, Brazil, A Collaborative Cloud—based Business Intelligence Platform for Transportation Networks
    • Aoying Zhou, East China Normal University, China, COBA: Sensing Urban Lifestyle based on Collective Online Behavior Analysis with Windows Azure
    • Chu Hong Steven Hoi, Nanyang Technological University, Singapore, Cloud-Based Mobile Recommender Systems by Online Collaborative Filtering Techniques
    • Elisabetta Di Nitto, Politecnico di Milano, Italy, sAfe CitiEs through clouD and Internet-of-Things (ACED-IoT)
    • Evgeny Rogaev, Vavilov Institute of General Genetics, Russian Academy of Science, Russia, Alzheimer Bio Project
    • Frank Hutter, Freiburg University, Germany, CloudEval: Towards Community-Based Performance Testing and Optimization
    • Gabriel Antoniu, INRIA, France, Z-CloudFlow: Advanced Data Storage and Processing for Multi-site Cloud Workflows
    • Guangzhong Sun, University of Science and Technology, China, Smart Campus Construction Based On Rich Campus Datasets
    • Hansol Lee, Korea Military Academy, Korea, Employing a Customized Web-Based Corpus Program For Language Learning
    • Hojung Cha, Yonsei University, Korea, Development of a Crowd Sensing Framework for Inducing User Participation in Urban Environments
    • Hugo Andres Neyem, Pontificia Universidad Católica de Chile, Chile, Improving the Preservation of Latin America’s Wildlife through a Cloud Shared Workspace
    • Ian Gent, University of St Andrews, United Kingdom, Recomputation of Scientific Experiments
    • Jaime Ruiz, Colorado State University, United States, EQStratus: On-Demand Genome Assembly using Cloud Infrastructure
    • James M Hogan, Queensland University of Technology, Australia, Bing for Genomes – Information Retrieval Approaches to Genomic Search and Comparison
    • Jim Nelson, Brigham Young University, United States, Flood Early Warning System in the Cloud
    • Ka Yee Yeung-Rhee, University of Washington, United States, Inference of Gene Networks Studying Human Cancers On The Cloud
    • Kenneth H. Buetow, Arizona State University, United States, Using Data Science Approaches To Map Biologic Processes To Clinical Phenotype And Outcome
    • Matthew Bawn, University of San Martin de Porres, Peru, The Use of the Cloud as a Computational Platform for Genomic Analysis
    • Paolo Missier, Newcastle University, United Kingdom, Analysis and Interpretation of Human Exome Sequencing for Clinical Diagnosis and EHR Integration in the Cloud
    • Patrick Hénaff, Université Paris 1, France, Euclide Quant Network
    • Peng Gong, Tsinghua University, China, Satellite Remote Sensing for Urban Computing—40 Year Dynamic Information on Land Use for Beijing City from Time Series Landsat Data and Computer Simulation
    • Peter Coveney, University College London, United Kingdom, Collaborative Computational Project in Systems Medicine
    • Philip Kershaw, STFC Rutherford Appleton Laboratory, United Kingdom, JASMIN
    • Philippe Desjardins-Proulx, Université du Quebec, Canada, Growing Intelligence with Cloud Markov Logic Networks
    • Richard P. Hooper, Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI), United States, Transforming Water Science with Featured-Based Data Access
    • Romain Rouvoy, University Lille 1, France, ApiSwarm
    • Soeren Balko, Queensland University of Technology, Australia, relocate.js
    • Tomasz Bednarz, CSIRO, Australia, Image Analysis in Azure Clouds
    • Victor O.K. Li, The University of Hong Kong, China, A Big Data Stream Processing Solution for Hidden Causality Detection of Urban Dynamics
    • Wenjun Wu, Beihang University, China, Cloud based MOOC Platform for Self-organized Learning  
    • Yanmin Zhu, Shanghai Jiao Tong University, China, NoiseSense: Crowdsourcing-based Urban Noise Mapping with Smartphones
    • Yuguo Li, University of Hong Kong, Hong Kong, SmartComfort - Use of Smartphone and Cloud Technologies for Building Thermal Comfort, and Ventilation and Health Studies in Megacities
    • Yung-Hsiang Lu, Purdue University, United States, Cloud-Based System for Continuous Analysis of Many Cameras

    We are thrilled to be off and running with the Windows Azure for Research awards, and we look forward to being amazed by the next batch of proposals.    

    Dennis Gannon, Director of Cloud Research Strategy, Microsoft Research

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  • Microsoft Research Connections Blog

    Fellowships awarded to top Asian PhD students

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    On November 2, 2013, the spotlight shone brightly on 10 PhD candidates from nine top Asian universities as they were introduced to an appreciative crowd of 1,500 in the Grand Theatre in Hefei, China. On stage, these scholars received medals that signified their selection as the 2013 Microsoft Research Asia Fellows. Each of the new fellows beamed while shaking hands with presenters Peter Lee, corporate vice president and head of Microsoft Research, and Hsiao-Wuen Hon, a Microsoft distinguished scientist and managing director of Microsoft Research Asia.

    Microsoft Research Asia 2013 fellows and advisors with Peter Lee, corporate vice president, head of Microsoft Research; Hsiao-Wuen Hon, managing director of Microsoft Research Asia; and Feng Zhao, assistant managing director of Microsoft Research Asia, chairman of the fellowship program
    Microsoft Research Asia 2013 fellows and advisors with Peter Lee, corporate vice president, head of Microsoft Research (back row, forth from the right); Hsiao-Wuen Hon, managing director of Microsoft Research Asia (back row, third from the right); and Feng Zhao, assistant managing director of Microsoft Research Asia, chairman of the fellowship program (back row, far left)

    The award ceremony was part of the Computing in the 21st Century Conference, co-hosted by Microsoft Research Asia and the University of Science and Technology of China (USTC). The fellowship program recognizes outstanding doctoral students who are studying computer science, electrical engineering, information science, or applied mathematics at Asia universities. Each winner has the opportunity to complete an internship, during which they participate in hands-on, advanced research at Microsoft Research Asia in Beijing.

    Since its inception in 1999, the program has awarded 351 fellowships to applicants who have demonstrated their strong research potential through concrete achievements at an early stage of their career. In so doing, it has successfully fostered advances and collaboration in computer science research. More than 80 of the past recipients continue to perform research, including 40 who have joined Microsoft Research Asia or other groups within Microsoft. Many have become rising stars in their investigative areas.

    This year’s fellowship candidates—90 in all—were recommended by department heads at 45 leading research universities and institutions in Asia. Each candidate’s credentials were thoroughly evaluated by a review committee of researchers. Then, 27 finalists visited Microsoft Research Asia, where they presented their work to a committee of senior researchers. The students gained valuable feedback from leading researchers during these onsite interviews.

    The 10 winners, each of whom successfully completed three rounds of intensive reviews, are:

    • Chen Cao (Zhejiang University, supervised by Kun Zhou), for his work on high-quality, real-time facial animation
    • Dong Chen (University of Science and Technology of China, supervised by Bin Li and Jian Sun), for his work that advanced facial recognition both theoretically and practically
    • Luwei Cheng (University of Hong Kong, supervised by Cho-Li Wang and Francis Chi Moon Lau), for his work on performance issues related to hardware virtualization
    • Quan Fang (Chinese Academy of Sciences, supervised by Changsheng Xu), for his work on geo-referenced social media mining and applications
    • Ping Luo (Chinese University of Hong Kong, supervised by Xiaoou Tang), for his work on deep learning and its application in computer vision
    • Masayasu Ogata (Keio University, supervised by Michita Imai), for his work on scenarios and technical implementations of human-computer interactions
    • Jianping Shi (Chinese University of Hong Kong, supervised by Jiaya Jia), for her work on parsing visual data for image understanding
    • Shusen Wang (Zhejiang University, supervised by Zhihua Zhang), for his work on matrix analysis and convex optimization in machine learning
    • Huanjing Yue (Tianjin University, supervised by Jingyu Yang and Feng Wu), for her work on cloud-based image coding and processing
    • Jun Zhang (Nanyang Technological University, supervised by Xiaokui Xiao), for his work on database systems with privacy guarantees

    After their warm reception in the conference hall, the fellowship winners were treated to lunch with Joseph Sifakis, director of the Rigorous System Design Laboratory at EPFL and recipient of the A.M. Turing Award in 2007. Then, they shared research experiences with more than 80 USTC graduate students, inspiring them to be creative and focused during research.

    —Lily Sun, University Relations Manager, and Xin Ma, Senior Research Program Manager, both of Microsoft Research Connections Asia

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    Jim Gray would be proud

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    The timing couldn’t have been better. I had come to Bethesda, Maryland, to present Dr. David Lipman, M.D., director of the National Center for Biotechnology Information (NCBI), with the seventh annual Jim Gray eScience Award. David was selected for his contribution to the development of NCBI, one of the world’s premier repositories of biomedical and molecular biology data. Every day, more than 3 million users access NCBI’s more than 40 databases. NCBI is part of the National Library of Medicine at the National Institutes of Health.

    David Lipman wins 2013 Jim Gray eScience Award

    My visit opportunely coincided with the twenty-fifth anniversary of the NCBI, an occasion I got to celebrate with David, who has served as NCBI’s director since its inception, and with his colleagues and fellow scientists. Imagine, 25 years of making biomedical information readily available to the public and the research community.

    The gathering was brief, just 90 minutes, yet we had time to remember Jim Gray’s legacy. Several years before his disappearance at sea in 2007, Jim had visited NCBI and became excited by its mission, its people, and the activities in which it was engaged. He collaborated with the NCBI team in creating a “portable” version of PubMed Central, the archive for full-text versions of NIH-funded research papers. The success of this initiative is now embodied in Europe PubMed Central archive, for example. That Jim believed that NCBI represented the next generational approach to making scientific publications and scientific data accessible to future researchers is demonstrated by his specific mention of it in his oft-quoted last public talk. Together, David and I looked back at what NCBI had accomplished and remembered Jim Gray’s influence. I was honored to share comments about Jim’s Fourth Paradigm of data-intensive scientific discovery and to recognize David’s contributions publicly by presenting him with the year’s Jim Gray eScience Award.

    Tony Hey presents David Lipman with 2013 Jim Gray eScience Award

    David Lipman’s career exemplifies the kind of research leadership that Jim Gray believed in. The Jim Gray eScience Award is, more than anything, recognition of such leadership. In Jim's memory, we select recipients whom he would have identified as those whose work and support of others have made a difference. As one scientist put it, “Jim Gray preferred doers.” David was selected for his contribution to the development of what must be the most comprehensive set of open access resources in the biosciences. Jim Gray would be proud!

    Tony Hey, Vice President, Microsoft Research

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