Professor Ashiq Anjum

BE( Electrical Eng), MS (CS), PhD (CS), MBA, FHEA &

Phone: +44-772- 4017071 & +44-1332 -591881

Professor of Distributed Systems, College of Engineering and Technology, University of Derby, UK

Room# MSL-102 (Markeaton Lodge), Markeaton Street Campus, Derby UK, DE22 1GB




News:  I am the general chair for the 10th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2017) being held in Austin,Texas USA from December 5-8, 2017.

News:   I am the general chair for the IEEE International Conference on Fog and Edge Computing (ICFEC 2017) being held in Madrid, Spain from May 14-17, 2017. This is co-located with the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing. 

I am a Professor of distributed systems in the college of engineering and technology at the University of Derby, UK.  My areas of research include autonomous and data intensive distributed systems and high performance analytics platforms for continuous processing of streaming data.  

I have been part of the EC funded projects in distributed systems and large scale analytics such as Health-e-Child (IP, FP6), neuGrid (STREP, FP7) and TRANSFORM (IP, FP7) where I investigated resource management and optimization issues of large scale distributed systems and provided platforms for high performance data analytics.

I have been investigating large scale distributed systems and analytics platforms for the LHC data in collaboration with CERN Geneva Switzerland for the last fifteen years. Before starting an academic career, I worked for various software multinational companies for around ten years.   

I have secured grants from industrial partners, Innovate UK, RCUK and other funding agencies for investigating high performance video analytics systems for producing intelligence and evidence for medical, security, object tracking and forensic science applications.

I am closely working with healthcare providers, hospitals and pharma companies in investigating high performance analytics systems for distributed clinical intelligence and integration, iterative genome analytics and precision medicine.

I am also working in collaboration with rail companies to investigate how rail infrastructures and services can benefit from Internet of Things (IoT) and real time analytics by intelligently analyzing streams of data arriving from rail networks to increase accuracy, reliability and capacity of rail infrastructures and services. In addition, I am also investigating ways to model the rail networks as a distributed Graph System and provide adaptive scheduling and resource management systems.

Thanks to a grant from Innovate UK, I am working with a leading VR provider to enable real time visualization of 3D engineering models and distributed algorithms in a Virtual Reality environment. This work allows distributed parties involved in large scale collaborative engineering  projects to identify potential conflicts or required changes at the design stage, rather than during manufacturing, when they’re extremely costly to put right.

I am closely working with logistics companies (Thanks to a grant from  Innovate UK) to investigate smart logistical models using innovative IoT technologies and Machine Learning approaches for intelligent stock tracking, warehousing and distributed supply chain management optimization.

Please get in touch with me if you're interested in a research and development project in Distributed Systems, High Performance Data Analytics or in another area of my research interests. Broadly Speaking, I have the research and development interests in the following areas: 

 I am keen to build partnerships with colleagues from industry and academia. I am always looking for bright PhD students who are keen to make a difference. Please get in touch with me if you're interested in a research or development project in an area of my research interests. 

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