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Name: Ajitha Rajan
Bio: I am a Lecturer (or Asst. Professor in American terms) and Chancellor’s Fellow at the School of Informatics in the University of Edinburgh (since December 2012). Previously, I was a post-doc at Oxford University, Computer Science Department and at Laboratoire d’Informatique de Grenoble (LIG) at Grenoble, France. I graduated with a PhD in Computer Science from the University of Minnesota in Aug 2009. My PhD advisor is Prof. Mats Heimdahl.
My research is in the field of software engineering and strives to address challenges in software validation and verification. I am especially interested in: Machine learning applied to the test oracle problem - Automatically classifying test executions as pass/fail. Defining quality metrics for GPU programs. I am interested in coverage metrics for code, design, and requirements (functional, non-functional, security); Automated test case generation and execution for blockchain applications and GPU programs; Optimising energy consumed by software. We investigated the energy consumed by software design patterns and proposed compiler optimisations for a couple fo the patterns in recent work; Economic models for incremental software and software on the cloud.
Country: United Kingdom
Affiliation: University of Edinburgh
Personal website: http://homepages.inf.ed.ac.uk/arajan/
|ISSTA 2020||Committee Member in Program Committee within the Technical Papers-track|
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