Uni­versity of Hel­sinki elec­ted Nokia Bell Labs part­ner

 
The collaboration between Nokia and the university is tightening in the field of data science; the research into data networks, artificial intelligence, and enhanced reality is receiving more attention.

The University of Helsinki is strongly investing in data science. For both the university and Nokia, data science is a field of research in which they want to build more collaboration in the future.

− The University of Helsinki being elected Distinguished Academic Partner with Nokia Bell Labs will bring the university and Nokia into a tighter collaboration in a field that is central to both organisations, says Professor Sasu Tarkoma, head of the Department of Computer Science at the University of Helsinki.

The university is establishing eight professorships in the field of data science, four of which have already been declared vacant.

− In addition, Professor Pan Hui from the Hong Kong University of Science and Technology (HKUST) has been elected to the endowed professorship Nokia Chair in Data Science. He started in the post at the beginning of September and brought with him a small team that is being grown into a research group, says Tarkoma.

Stu­dents tak­ing part in the Dis­tin­guished Aca­demic Part­ner col­lab­or­a­tion

− Along with its new collaboration programme, Nokia Bell Labs wants to develop close strategic relations with the world’s top universities. Together, we can offer the most gifted scientists the best platform for innovative work, says Julie Byrne, who is in charge of the Distinguished Academic Partner programme at Nokia.

− It includes universities, with which we have had good results already, and with which we want to work even closer both on a strategic and project level. In addition, we are in constant dialogue with universities and comparing visions of the future, says research director Lauri Oksanen from Nokia Bell Labs.

Besides interesting results, the collaboration between Nokia and the university is expected to heighten the visibility of both Bell Labs and Nokia itself to university students.

− Collaboration with students, MSc thesis writers, summer workers, and trainees is an important form of collaboration. Annually, Bell Labs employs 250 trainees globally, and this year it employed 12 in Espoo. We want to continue investing in this, as well, and thus ensure we get the best students, he continues.

Col­lab­or­a­tion from net­works

The programmatic cooperation in the field of computer science started last year, when Nokia, the University of Helsinki, and Aalto University started a research collaboration unit. This Nokia Center for Advanced Research (NCAR) has been working closely with Nokia Bell Labs.

The goal in NCAR is to identify research problems that are significant for the industry and carry out both basic and applied research to solve these problems. Its initial projects are related to network technologies supporting the Internet of Things, future 5G network architectures, efficient communications protocols, and enhancing the intelligence of networks.

A big en­vir­on­mental meas­ure­ment sys­tem for the 5G net­work is next

In spring 2017, a collaboration on 5G networks between the University of Helsinki and Nokia Bell Labs Peking was initialised. The goal is to create an extensive measurement system for the environment, based on the 5G network, to monitor air quality and environmental conditions.

 

For more details, please see:

Nokia Bell Labs

Nokia Bell Labs is a world-famous research organisation. During its over 90 years in operation, Bell Labs has invented many technologies that have set the foundation for information and communications networks and all digital equipment and systems. Its research has led to eight Nobel prizes and several other international prizes for innovations in technology. Nokia Bell Labs continues its ground-breaking research to solve the challenges of a new digital era, where everything is networked, as described in the book The Future X Network: A Bell Labs Perspective. www.bell-labs.com

 

Nokia

We create technology to connect the whole world. Boosted by the research and innovative work of Nokia Bell Labs, we offer the most extensive selection of products, services, and licensing opportunities in our field to communication-service providers, governments, big businesses, and private consumers.

We create momentous future technology for the changing needs of the consumers by building the infrastructure for 5G technology and the Internet of Things, as well as developing new kinds of applications for virtual reality and digital health. www.nokia.com

Nokia Center for Advanced Research

The university extends its collaboration with Chinese universities

Contact details:

Sasu Tarkoma, 040 506 2163, sasu.tarkoma@helsinki. fi

Nokia press services, 010 448 4900, press.services@nokia. com

Minna Meriläinen-Tenhu, @MinnaMeriTenhu, 050 415 0316, minna. merilainen@helsinki.fi; #HelsinkiData

Created date

18.10.2017 - 12:50

Inter-university research and training centre on information security

The University of Helsinki and Aalto University have set up a joint research centre focusing on information security. The new centre, HAIC (Helsinki-Aalto Centre for Information Security), will coordinate the Master’s-level security education between the university and Aalto, with links to research and doctoral education.

The idea is to build bridges to the industries and gain their support for the education, and e.g. grants for MSc students coming from outside the EU, the head of the Department of Computer Science, Sasu Tarkoma, says.

Computer science undergraduate Petteri Timonen awarded in US science competition

Petteri Timonen, 19, came second in his category of the Intel International Science and Engineering Fair (ISEF) in Phoenix, Arizona.

 

On Friday, 15 May, Timonen, who is studying computer science at the University of Helsinki, was awarded a grant worth 1500 USD, some 1330 euros, in the Systems Software category of the Intel ISEF science competition.
 
As his entry, Timonen submitted a software tool he developed for Finland’s Red Cross to make mobile blood runs around the country as cost-effective as possible. Timonen implemented his tool in cooperation with the Blood Service.

The tool has gained international attention, as no tool like it seems to have been developed anywhere else. Timonen has also negotiated with the American Red Cross by email.

Renewed Carat App Gives a Smart Boost to Battery

 
The Carat Project Team at the University of Helsinki, Department of Computer Science, has published a new version of the popular mobile energy-awareness application.

After launch in June 2012, Carat has helped over 850,000 users, of which 41 per cent have been Android and 59 per cent iOS users, respectively. The new user interface follows modern application design guidelines and presents battery information in a more intuitive and easy to use manner.

- In addition to the new user interface, we have increased the accuracy of the energy saving recommendations of Carat, says Professor Sasu Tarkoma, the leader of this research done at the university.

The user interface features the number of energy intensive applications (Hogs), energy anomalies (Bugs) and user recommendations (Actions) at a glance on the main screen as well as global energy statistics for the device community.

Cover Song Identification Using Compression-based Distance Measures

M.Sc. Teppo E. Ahonen will defend his doctoral thesis Cover Song Identification Using Compression-based Distance Measures on Friday the 1st of April 2016 at 12 o'clock in the University of Helsinki Exactum Building, Auditorium CK112 (Gustaf Hällströminkatu 2b).  His opponent is Academy Professor Petri Toiviainen (University of Jyväskylä) and custos Professor Esko Ukkonen (University of Helsinki). The defence will be held in Finnish.

Measuring similarity in music data is a problem with various potential applications. In recent years, the task known as cover song identification has gained widespread attention. In cover song identification, the purpose is to determine whether a piece of music is a different rendition of a previous version of the composition. The task is quite trivial for a human listener, but highly challenging for a computer.