Announcing 47 new Azure Research Awards

On April 15 we closed submission for the Microsoft Azure for Research Award program. After a careful review we are very pleased to announce 47 new awardees. These project cover a huge range of topics in wide variety of research domains. We continue to be amazed by the creativity of the research community in finding new ways to use the power of the cloud to explore new ways to advance scientific exploration and collaboration. The awarded researchers, their institutions and the proposal titles are listed below ordered by region and country. To read the abstracts for these and all 180 of the current projects go to our website.

If you have not applied yet we have another deadline for proposals on June 15, 2014. We are already seeing submissions come in for that deadline! Check it out here.

The Climate Data Initiative

Also remember we have a special call requests proposals from scientists and decision-makers for solutions that support the White House Climate Data Initiative’s goals of preparedness for and resilience to climate change impacts. Twelve months of free Microsoft Azure cloud-computing resources—including up to 180,000 hours of cloud-computing time and 20 terabytes of cloud storage—will go to 40 awardees selected from proposals submitted by the due date of June 15, 2014.

The April 15, 2015 Azure for Research Awardees.

Asia Pacific

Rajkumar Buyya, The University of Melbourne, Australia
Programming Model and Framework for Internet of Things Applications on Clouds

Samuel Marks, Macquarie University, Australia

Wei Song, Queensland University of Technology, Australia
E-Health Initiative for Women’s Wellness after Cancer

Zhiyong Wang, University of Sydney, Australia
Scalable content based video retrieval in the cloud

Wu Jun, Tongji University, China
Research and application of cloud media based on hybrid cloud

Eric Lo, Hong Kong Polytechnic University, Hong Kong
Parallel Analytics as a Service: The Shared-Process Approach

Lei Chen, Hong Kong University of Science of Technology, Hong Kong
Efficient Functionality Structure Discovering Over Distributed Graphs

Ting Fung Ma, The Chinese University of Hong Kong, Hong Kong
Likelihood-Based Methods For Change-Point Estimation In Spatial-Temporal Models On The Cloud

Sudharsan Dhanachandran, University of Tokyo, Japan
Service Innovation for Sustainable Smart Agriculture (SISSA)

Mahesh, BrainWorks, Nepal
Development of Bio gas and natural energy

Asankhaya Sharma, National University of Singapore, Singapore
Appliance for Software Verification Research

Europe, Russia and Africa

Horacio Gonzalez-Velez, National College of Ireland, Ireland
ParaPhrase: Parallel Patterns for Adaptive Heterogeneous Multicore Systems

Romana Žihlavníková, Palacky University in Olomouc, Czech Republic
Do they see me? – moral acting induced by self-awareness on the internet.

Radu Gatej, University of Copenhagen, Denmark
The Copenhagen Networks Study/SensibleDTU/Social Fabric

Hocine Cherifi, Universite De Bourgogne, France
Community Structure Analysis In Complex Networks

Masoud Saeida Ardekani, Inria & Université Pierre et Marie Curie, France
Consistency Trade-Offs In Geo-Replicated Transactional Systems

Dirk Hähnel, Universität Göttingen, Germany
Big Data for Imaging and Spectroscopy - Lifetime Imaging Computation

Hans-Arno Jacobsen, TU-München, Germany
DOaaS – Distributed Optimization as a Service

Samuel Silva, University of Aveiro, Portugal
Cloud Based Framework to Support Speech Production Studies

Sergey Gerasimov, Moscow State University, Russia
Science VM - R&D of Machine Learning Algorithms for Big Data

Daniel Lorenčík, Technical University of Košice, Slovakia
Cloud robotics – Object recognition and multi-agent robot system

JP Barnard, Stellenbosch University, South Africa
Building an Azure MATLAB Cluster for Process Monitoring and Fault Diagnostic Research

Henrik Nordborg, University of Applied Sciences (HSR) Rapperswil, Switzerland
Numerical simulation of industrial plasmas

Nabil Abdennadher, University of applied sciences, western Switzerland, Switzerland

Alexander Brownlee, University of Stirling, UK
Integrated Airport Operations Optimisation

Federica Sarro, University College London, UK
Software Fault Prediction as Microsoft Azure Service

Juan Antonio Añel Cabanelas, University of Oxford, UK
Climate Prediction Azure Cloud: extremely demanding climate modeling using cloud computing and virtual machines

Susheel Varma, University of Sheffield, UK
VPH-Share Science VMs: Patient-Centred Multi-scale Cloud-Enabled Computational Workflows

Syed Islam, University College London, UK
Azure ORBS: Language-Independent Program Slicing in Microsoft Azure

Yue Jia University College London, UK
Higher Order Mutation Testing in Microsoft Azure

North America

Abhishek Gupta, University of Illinois at Urbana Champaign, US
Adaptive Runtime for HPC in Cloud

Andrew Sallans, Center for Open Science, US
Windows Azure Add-On for the Open Science Framework

Eamon Duede, University of Chicago, US
How do scientific conventions influence creativity and innovation?

Gregory Laughlin, University of California at Santa Cruz, US
Characterizing the Gliese 876 Planetary System

Ioan Raicu, Illinois Institute of Technology, US
Implicitly-Parallel Functional Dataflow for Productive Cloud Programming on Windows Azure

Jeffrey Richey, University of Washington, US
CDI: A Cloud-based Dynamic Information Framework for Water Resources and Landscape Management in Espírito Santo, Brazil

Joshua Peschel, University of Illinois at Urbana-Champaign, US
4D Modeling and Visualization of Agricultural Crop Sub-Canopy Environments

Murat Demirbas, University at Buffalo, SUNY, US
Panopticon: An Omniscient Lock Broker for Efficient Distributed Transactions in the Datacenter

Paul Fodor, Stony Brook University, US
WATCHMEN, a Firewall for App Store through distributed Data mining and Analysis

Raghavendra Polakonda, Wright State University, US
Information Presentation on Mobile Devices for Plant Operations

Ragib Hasan, University of Alabama at Birmingham, US
ASUZ: An Azure-based Spam URL Analyzer Platform for Rapid Detection of Phishing Websites

Seon Kim, University of Southern California, US
Cloud-based MediaQ for Big Data in Social Media

Shubhabrata Mukherjee, University of Washington, US
A systems-biology approach to identify and prioritize sub-networks of functionally-related genes for Alzheimer’s Disease

Sohail Murad, University of Illinois at Chicago, US
US-Lebanon Collaboration: Proof of Concept Studies for Using Molecular Simulations to Improve Membrane Based Separations.

Vijay Ivaturi, University of Maryland, Baltimore, US
Improving HealthCare Performance via Therapeutic Management Dashboards

Yi Chao, University of California, Los Angeles, US
On-Demand Ocean Forecast for Maritime Search and Rescue Operations Enabled by Microsoft Azure Cloud

Youngmoo Kim, Drexel University, US
Large-Scale Music Information Retrieval using Microsoft Azure for Research

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