The Alan Turing Institute, UK’s national institute for data science and artificial intelligence has named two Indian origin researchers in its latest cohort of Turing Fellows.
As Turing fellows, Jatinder Singh and Subramanian Ramamoorthy will contribute to new ideas and grow the UK's data science and AI ecosystem. The fellowship is established researchers on the cusp of becoming global leaders.
Singh is a research fellow at the Department of Computer Science and Technology at the University of Cambridge. He leads the newly formed compliant and accountable system research group and is also a co-investigator of the Microsoft cloud computing research center, a tech-legal collaboration with QMUL.
Singh also co-chairs the Cambridge Trust and Technology initiative, which drives research exploring the dynamics of trust and distrust concerning internet technologies, society, and power. He is active in the tech-policy space, serving on advisory councils for the UK Government and financial conduct authority.
He completed his PhD in computer science at the university and has several years of commercial experience in the areas of health and legal systems.
Ramamoorthy is a professor and chair of robot learning and autonomy within the School of Informatics at the University of Edinburgh, where he has been on the faculty since 2007. He also serves as an executive committee member for the Edinburgh Centre for Robotics and at the Bayes Centre.
He received his PhD in electrical and computer engineering from the University of Texas at Austin in 2007 and is an elected member of the Young Academy of Scotland at the Royal Society of Edinburgh. In addition, Ramamoorthy has been a visiting professor at Stanford University and the University of Rome ‘La Sapienza’.
Currently, Ramamoorthy serves as vice president of prediction and planning at FiveAI, a UK-based startup company focused on developing a technology stack for autonomous vehicles. His research is based on robot learning and decision-making under uncertainty, with a particular focus on achieving safety and robustness in artificially intelligent systems.
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