Ashiq Anjum

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Dr Ashiq Anjum

Professional title: 
Professor
Primary Domain/Field of Expertise (Other): 
Data Intensive Distributed Systems
Organization name: 
University of Derby, UK
Organization type: 
Academia/Research
City: 
Derby, UK
Country: 
United Kingdom

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I am the Programme Chair for the 3rd International Symposium on Big Data Science, Engineering and Applications (BDSEA 2016) being held in Shanghai China from December 6-9, 2016. I am the general chair for the 8th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2015) being held in Cyprus from December 7-10, 2015. I am the organizing chair for the 7th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2014) being held in London from December 8-11, 2014. I am a Professor in Distributed Systems in the School of Computing and Mathematics at the University of Derby. Before this I worked at the Department of Computing, Imperial College London as a Research Associate. I have been working on various collaborative projects with CERN Geneva Switzerland for the last twelve years. My areas of research include Distributed and Parallel Systems (including High Performance Computing, Grid and Cloud Computing), Distributed Operating Systems and scalable methods to mine large and complex datasets. I have worked on a number of research projects that have been funded by various European, American and Asian funding agencies. I am an active researcher and have participated in numerous computing schools, meetings and conferences to present my research work. I have more than 90 peer reviewed publications to my credit. Before starting an academic career, I worked for various software multinational companies for around 7 years. I have been part of the EC funded projects in Grids/Clouds and distributed systems, Machine learning and data mining such as Health-e-Child (IP, FP6), neuGrid (STREP, FP7) and TRANSFORM (IP, FP7) where I have been dealing with resource management of large scale systems, performance monitoring and optimization, data mining and service orchestration. In addition to this, I have been granted a three year project (two plus one year) from from Technology Strategy Board, UK which will capture video streams from live cameras and then using machine learning algorithms will process these images in a cloud environment for security and surveillance domains. I recently got funding from RCUK to provide a large scale cloud computing based Video Analytics (VaaS) platform for surveillance and object tracking. In addition to this, I am working with a leading Pharma company to develop a large scale clinical trial management system across distributed data centres for optimizing the drug discovery processes and reducing the operational costs.





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