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Sapere Aude Research Leaders 2022

Congratulations to assistant professors Sophia Yakoubov and Magnus Madsen who have been selected as two of 41 new Sapere Aude Research Leaders by Independent Research Fund Denmark (Danmarks Frie Forskningsfond). The Sapere Aude grant is awarded to young, excellent researchers with ambitious goals across all research fields. Both Yakoubov and Madsen are tenue track assistant professors hired by Department of Computer Science under the Aarhus University’s digitalisation initiative, which aims to ensure that Denmark remains at the forefront of IT by making substantial investments in IT research and education.

Sophia Yakoubov

YOSO: Efficient "You Only Speak Once" Secure Computation

Receiving the Sapere Aude grant will allow me to establish my own research team, and to grow as a supervisor and a leader. It will also allow me to strengthen my international collaborations and relationships through travel and research visits.

Project description: As data breaches become more common, companies have transferred many digital tasks to decentralised platforms - such as data clouds and blockchains - to eliminate single points of failure. However, distributed systems are still susceptible to attacks by sophisticated adversaries who can target multiple machines in a system at once. The You Only Speak Once (YOSO) framework is a novel paradigm for large-scale secure distributed processing of private data. In a YOSO protocol, each machine sends at most one message; by hiding who will send future messages, YOSO protocols can achieve unprecedented asymptotic communication efficiency while protecting the data from the most powerful kind of adversary. Existing YOSO protocols only provide security under unrealistic conditions, or do not scale well. The goal of this project is to eliminate these drawbacks, bringing YOSO closer to practice.

Estimate of impact: I hope that this project will help make secure and efficient computation in large-scale distributed environments such as clouds and blockchains more feasible. This, in turn, might have applications in many scenarios where mutually distrusting parties wish to outsource a computation on their sensitive data. An example might be hospitals in different countries wishing to pool their medical records for use in medical research, without compromising their patients' privacy by revealing those records to any external parties.

Read more about Sophia and her project.

Magnus Madsen

Type and Effect Inference with Boolean Algebras

The Sapere Aude grant will enable me to build a strong and internationally recognized research group within programming languages. The grant will also support our research and development of the Flix programming language (www.flix.dev) which we expect will play an important role in the spread of type and effect systems. Denmark (and Scandinavia) is internationally recognized for significant contributions to programming languages and the Sapere Aude grant will help us continue this proud tradition.

Project description: Software consists of source code written in a programming language. Since software developers are human, they make mistakes in their programs. The goal of this project is to develop better programming languages that can help developers catch their bugs before their programs reach end users. The key insight is to use so-called Boolean algebras to describe the computational effects that arise during the execution of a program. For example, to answer questions such as does the program read a file from the file system? Does the program send data over the network?

Estimate of impact: I hope that this project will help make secure and efficient computation in large-scale distributed environments such as clouds and blockchains more feasible. This, in turn, might have applications in many scenarios where mutually distrusting parties wish to outsource a computation on their sensitive data. An example might be hospitals in different countries wishing to pool their medical records for use in medical research, without compromising their patients' privacy by revealing those records to any external parties.

Read more about Magnus and his project.

Info about the Sapere Aude grant

The Sapere Aude grant is aimed at young excellent researchers with ambitious goals, which require a longer period dedicated to research. The instrument makes it possible to pursue their inventive and ambitious goals by carrying out and leading a research project over a period of up to 5 years. In 2022, with a success rate of 12%, 41 talented researchers are appointed Sapere Aude Research Leaders by Independent Research Fund Denmark. Their projects will in total be supported with DKK 247 million, and it is a great opportunity for the young researchers. Read the full press release from Independent Research Fund Denmark [in Danish].

Sapere Aude grant recipients at Department of Computer Science:

2022

2021

2020

2019

2016

2015

  • Kasper Svendsen, Research talent grant
  • Thomas William Dinsdale-Young, Research talent grant

2013

2012

2010