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Aarhus Summer School on Learning Theory

Summer School

Aarhus Summer School on Learning Theory

The Aarhus Summer School on Learning Theory brings together top international PhD students to educate them on fundamental topics in theory of machine learning. The summer school takes place in beautiful Aarhus, Denmark.

Aarhus is often mentioned as one of the happiest cities in the world and a hidden gem for travelers. This makes for a relaxing and inspiring environment for excursions, discussions, and collaborations.

Speakers:

Shai Ben-David
Shai Ben-David grew up in Jerusalem, Israel. He attended the Hebrew University studying physics, mathematics and psychology. He received his PhD under the supervision of Saharon Shelah and Menachem Magidor for a thesis in set theory. Professor Ben-David was a postdoctoral fellow at the University of Toronto in the Mathematics and the Computer Science departments, and in 1987 joined the faculty of the CS Department at the Technion (Israel Institute of Technology). He held visiting faculty positions at the Australian National University in Canberra (1997-1998) and at Cornell University (2001-2004). In August 2004 he joined the School of Computer Science at the University of Waterloo.

Amin Karbasi
Amin Karbasi is currently an associate professor of Electrical Engineering, Computer Science, and Statistics & Data Science at Yale University. He is also a research staff scientist at Google NY. He has been the recipient of the National Science Foundation (NSF) Career Award, Office of Naval Research (ONR) Young Investigator Award, Air Force Office of Scientific Research (AFOSR) Young Investigator Award, DARPA Young Faculty Award, National Academy of Engineering Grainger Award, Bell Lab Prize, Amazon Research Award, Google Faculty Research Award, Microsoft Azure Research Award, Simons Research Fellowship, and ETH Research Fellowship. 

His work has also been recognized with a number of paper awards, including Medical Image Computing and Computer Assisted Interventions Conference (MICCAI) 2017, Facebook MAIN Award from Montreal Artificial Intelligence and Neuroscience Conference 2018, International Conference on Artificial Intelligence and Statistics (AISTAT) 2015, IEEE ComSoc Data Storage 2013, International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2011, ACM SIGMETRICS 2010, and IEEE International Symposium on Information Theory (ISIT) 2010 (runner-up). His Ph.D. thesis received the Patrick Denantes Memorial Prize 2013 from the School of Computer and Communication Sciences at EPFL, Switzerland.

Amir Yehudayoff
Amir received his Ph.D. from the Weizmann Institute of Science and was a two-year member at the Institute for Advanced Study in Princeton. He is currently a professor in the Department of Computer Science in the University of Copenhagen, and in the Department of Mathematics at the Technion. His main research area is theoretical computer science, with a recent focus on the theory of machine learning.

Nikita Zhivotovskiy
Nikita Zhivotovskiy is an Assistant Professor in the Department of Statistics at the University of California Berkeley. He previously held postdoctoral positions at ETH Zürich in the department of mathematics hosted by Afonso Bandeira, and at Google Research, Zürich hosted by Olivier Bousquet. He also spent time at the Technion I.I.T. mathematics department hosted by Shahar Mendelson. Nikita completed his thesis at Moscow Institute of Physics and Technology under the guidance of Vladimir Spokoiny and Konstantin Vorontsov.

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Business innovation Digital entrepreneurship News

A PhD project was the launch pad – now the research team is heading toward an international breakthrough

9 August 2023

A PhD project was the launch pad – now the research team is heading toward an international breakthrough  

“This can go far” a team of researchers from Aarhus University realized when a PhD project turned out to have great application potential. The project became the launch pad for the company Coana, which is now heading toward an international breakthrough in JavaScript and open source technology.

It all began as a research project when Martin Torp and Benjamin Barslev, both PhD graduates from the Department of Computer Science at Aarhus University, laid the foundation for the software company Coana.

Soon, the team realized they were onto something significant, says Anders Møller, professor at Aarhus University and co-founder of the Aarhus-based startup.

Anders Møller is one of the world’s leading experts in program analysis for JavaScript/TypeScript and has worked closely with the two PhD students for several years.

Research team had the ‘key’

Coana’s program analysis reveals how companies are affected by changes and security vulnerabilities in open-source technologies, identifies vulnerabilities in JavaScript code, and filters out false warnings. This means that IT departments can focus on critical security issues, saving time and resources by sorting out unnecessary noise and false warnings, he explains.

As Benjamin and Martin approached the end of the PhD project, we realized that it had the potential for something even bigger, and that we actually had the key to solving some of the most challenging issues in open source and dependency management that companies worldwide struggle with.
– Anders Møller, Professor, Aarhus University

Recently, the trio expanded their team by hiring a strong strategic profile, Anders Søndergaard as CEO.

Søndergaard is responsible for an ambitious sales strategy and ensuring close contact with customers, while the developers continue working on a prototype and maintain close contact with software developers from companies worldwide.

– We already have an early prototype ready and are aiming for a launch in the fall. Our ambition is for the technology we are building to become the standard in dependency management.

The company is still in the early stages of market analysis and further product development, but Coana has a unique prototype, and no one in the world does the same as Coana’s program analysis for open-source troubleshooting, he elaborates.

It’s one thing to have a promising product and a solid research background – another to create a business. What did you know in advance about running a business?

– Very little. This is the first time for me, and it’s a new world for several of us. There is a lot of business knowledge that you don’t have when coming from the university and research world – what to pay attention to when establishing a company, how to develop a market strategy, etc. It’s time-consuming and simultaneously super exciting. My own primary focus remains on the research part, while the rest of the team is fully engaged in Coana.

How can it be an advantage that you have roots in the research world, and that you are both involved in research and now also in a business?

– There is a lot of synergy between the research at the university and what is happening here. What we arrived at with this research project turned out to have far more practical potential than the research I have otherwise worked on.

– There is a lot of research from universities that gets published, and people read it, and then it stays in the academic world but doesn’t go further. Now we have this special combination of a solid foundation in the form of many years of research – and real-world problems that need to be solved in companies.

Do you have any good advice to pass on to other university researchers considering starting a business?

– Aarhus University has a strong entrepreneurial environment, including around The Kitchen and the university’s Technology Transfer Office, which can help with networking and advice on funding and business development. They have been a fantastic help to us in the initial phase, so I can only recommend others to take advantage of the opportunities they provide.

– It can require a massive effort to achieve “product-market fit.” It is necessary that your initial conception of what can have commercial value is tested and adjusted through in-depth market analysis. You can advantageously – in good academic style – formulate hypotheses and conduct experiments to investigate how best to address customers’ most significant “pain points.”

– Make sure to establish the right team from the beginning, especially to cover the skills you lack if you do not have previous experience in building a business, says Anders Møller.

FACTS

The software company Coana was founded in 2022 by Professor Anders Møller from the Department of Computer Science at Aarhus University along with Martin Torp and Benjamin Barslev, both PhD graduates from the Department of Computer Science, Aarhus University, and Anders Søndergaard. Martin and Benjamin’s PhD work has formed the foundation for Coana. With the appointment of Anders Søndergaard as CEO, the startup has been strengthened in strategy and market analysis, and Anders Søndergaard has a strong international network. The company currently has six employees.

With grants from the Innovation Fund Denmark, Aarhus University’s entrepreneurial environment ‘The Kitchen,’ and the European ERC scheme, which grants EU funds for proof-of-concept projects, Coana has proven its growth potential.

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An interdisciplinary workshop on AI attracts international top researchers to Denmark – do you want to join?

9 August 2023

An interdisciplinary workshop on AI attracts international top researchers to Denmark - do you want to join?

DIREC invites to a high calibre research meeting with the workshop ‘Verifiable and Robust AI’ in November.

At the workshop, which takes place at Sandbjerg Gods in Sønderborg on 6-10 November, Danish and international top researchers in the fields of AI, machine learning and formal methods will gather – and we can guarantee plenty of interesting discussions and exchange of experience across disciplines.

So says Associate Professor Manfred Jaeger from the Department of Computer Science at Aalborg University, who is one of the organizers behind the workshop.

– With the workshop ‘Verifiable and robust AI’ we would like to bring two groups of researchers closer together – on the one hand some of Denmark’s strongest experts in machine learning and AI – and on the other hand experts in the formal analysis processes, correctness and security in programming.

– These are two relatively different types of researchers who do not usually meet at shared events – one group is particularly interested in formal methods and with a highly theoretical and mathematical focus, while the AI/machine learning experts also have a mathematical focus, but they use other techniques, Manfred Jaeger explains. The aim is to create new professional networks and hopefully to initiate more collaborations across the universities.

– There are possibly people in Copenhagen who can benefit from a collaboration with researchers from Aalborg or Aarhus University and vice versa. We want to help establish new relations, says Manfred Jaeger, who is looking forward to welcoming a series of interesting keynotes from foreign top universities – Moshe Vardi from Rice University, Jan Krêtínský from the Technical University of Munich and Bernhard Steffen from TU Dortmund University to name just three of the main names.

– The workshop addresses researchers from all universities in Denmark – we hope for a strong participation from the Danish research communities, so that people who do normally not participate in the same workshops and conferences will have the opportunity to meet each other.

Boris Düdder from the University of Copenhagen (KU), Thomas Hildebrandt, KU, Jaco van de Pol, Aarhus University (AU), Kim Guldstrand Larsen, Aalborg University (AAU), Manfred Jaeger (AAU) are the organizers of the workshop, which is sponsored by DIREC.

Read more and sign up here

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Summer course: CyberSafe – Mastering the Art of Cybersecurity

Summer course:

CYbersafe: Mastering the art of cybersecurity

Participate in a course with students from other Danish universities and international students as an elective on your study programme. The course will be an immersive course designed to cater to students interested in cybersecurity.

The course will cover the basics of cyber-security including the cyber threat landscape, network security, information security, cyber-security applications in IoT and robotics, cryptography, security awareness and best practices, incident response and digital forensics, and legal and ethical aspects of cybersecurity.  The course will include practical labs and hands-on exercises to allow participants to apply their knowledge and skills in a safe and controlled environment.

The practical experiences will help attendees to deepen their understanding of cybersecurity concepts. The course will be taught by cybersecurity experts from both academia and industry, to provide the participants with basic knowledge and advanced concepts coupled with practical insights from real-world experiences.

The course is aimed at university students studying computer science, information technology, cybersecurity, or related fields, Early Career Professionals, IT and Security Professionals. Those looking to specialize in cybersecurity and gain hands-on experience in the field.

Housing costs

To cover housing costs, 16 grants are offered to students from Danish universities supported by DIREC.

Apply here before May 1 to be considered for one of the grants