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Assistant Professor
File systems are responsible for storage and retrieval of digital data residing on storage sub-systems. However, this job of file systems is made difficult by the diverse, dynamic and intense user requirements. The current hardware technology trends and workloads challenge the performance, scalability and extensibility of file systems. As such, file systems need to evolve to cope up with this requirement. My research interests revolve around the same idea.
In my Ph.D. thesis, I argue that even though file systems have been evolving since their inception, the way they have been progressing has unknowingly led to other problems. These include objective specific disk file systems, incompatible variants of same basic design, reluctance on part of a file system to adapt to new features, and so on. The goal of this work was to enhance file systems to overcome and mitigate the challenges put forth by current hardware technology trends and user requirements in such a way that the effort could be applied to all file systems (or atleast a class of file systems) so as to avoid the problems inherent in existing evolution. It investigated various existing approaches and new concepts to achieve this goal. These included exploiting virtual unification to virtualise large file sizes, employed SSDs in tandem with HDDs for performance, and analysed block level behaviour for reliable and efficient transparent-per-file secure-data deletion.
My current research has further extended the idea by taking into consideration the problems posed by Big Data and Digital Forensics to storage sub-systems in general, and file systems in specific. I have published my work in many internationally reputed journals which include journals published by IEEE, Elsevier, Wiley, Emerald, Taylor & Francis, Springer and MDPI. My work has also been published in internationally reputed conferences held in Berlin, California, Slovakia and India. The proceedings of these conferences were published by ACM, IEEE and Springer.
Currently, I am focused in achieving the following goals in my research:
- Research Collaborations: continue building research collaborations with pioneer researchers working in premier institutions in the area of digital forensics and big data storage.
- Research Funding: continue securing research funding from national and international agencies for individual study, and study undertaken by masters and doctoral students working in digital forensics and big data storage.
- Industry Oriented Research: continue preparing research students for R&D in software industry.
- Centre of Excellence: work towards state of art infrastructure, competent man power and academic excellence to build centre of excellence in digital forensics.
North Campus