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Digital Futures Fellows

Digital Futures fellowship programs aim to support leading researchers. 

The regular fellowship program is targeted to regular faculty members at KTH or at Stockholm University to equip the most promising researchers of central importance for the strategic research area with a highly competitive startup or consolidation package.

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Jonas Beskow

Jonas Beskow

Learning style variation in nonverbal behaviour for social robots and agents

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Emil Björnson

Emil Björnson

Recycling Wireless Signal Energy in the Digitalized Society

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Henrik Boström

Henrik Boström

Reliable Machine Learning

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Saikat Chatterjee

Saikat Chatterjee

Explainable Machine Learning

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Carlo Fischione

Carlo Fischione

Machine Learning over Wireless Internet of Things

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Sarunas Girdzijauskas

Sarunas Girdzijauskas

Decentralized Machine Learning

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James Gross

James Gross

Towards Predictable End-to-End Wireless-Edge Network Architectures

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Roberto Guanciale

Roberto Guanciale

Toward secure critical systems via verification

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Kristina Höök

Kristina Höök

Soma Design

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Tobias Oechtering

Tobias Oechtering

Fundamental bounds in information processing

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Alexandre Proutiere

Alexandre Proutiere

Data-efficient Reinforcement Learning

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Petter Ögren

Petter Ögren

Using Behavior Trees to combine the efficiency of reinforcement learning with performance guarantees regarding safety and goal convergence

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