Nokia Foundation Grant for Ella Peltonen, Kumaripaba Athukorala & Matti Nelimarkka

 

Nokia foundations has been granting scholarships to support scientific development of information and telecommunications technologies for the last twenty years. 

This year three researchers of the Computer Science department of University of Helsinki  have been awarded the Nokia scholarship: Ella Peltonen, Matti Nelimarkka, and Kumaripaba Athukorala.

Award ceremony was held at Nokia Solution Experience Center on 24th November. 

We congratulate Ella, Matti, and Kumaripaba. 

The titles of their projects and abstracts are given below. 

 

 

Ella Peltonen

Title: Iterative Data Analysis for Sensing Applications

Smartphones and other sensor devices can generate large amounts of data in a short time. Even if their computing capacity and battery lifetime can be limited, they usually have good communication capabilities, so that they can take advantage of remote services. Large-scale data analysis offers methodology, which can be used to improve functionality of the applications and extend the user activity. This creates a need for an iterative data analysis system, which offers streaming processing, data flow management, and machine learning algorithms suitable for complex sensing data.

PhD research of Ella Peltonen aims to develop principles and practices for an iterative data analysis algorithms and workflow. As a case study, we have presented a mobile application that measures context factors’ combined impact to energy consumption. This approach will be useful for different types of cases, where it is important to understand complex data sources in real time. In the future work, Ella will apply similar methodology to sensing human behavior patterns in collaboration with University College London, where she will spend five months in 2016.

 

Kumaripaba Athukorala

Title: Enhancing Exploratory Search with User Modeling

Search can be broadly divided into two types: lookup search, where the user has a specific search result in mind such as finding the exchange rate of a currency, and exploratory search, where the goal is to learn or investigate a less familiar topic or area. 

Lookup searches are well supported by all the existing IR systems. However, exploratory search is found to be very challenging to the user, because users lack knowledge to formulate search queries and recognize relevant results, at the same time the user is uncertain about her own search goals. Due to this uncertainty in search goals, during the course of an exploratory search activity, users constantly change their information needs and thus expect more diverse results and better support from the search system. In spite of the importance and prevalence of exploratory search, the study of user behavior in such tasks and challenges they face have received much less attention.

Modeling user behavior in exploratory search is a hard problem to solve. 

PhD research of Kumaripaba Athukorala  aims to investigate user behavior in exploratory search to build predictive models that allow information retrieval systems to provide tailored and adaptive support for users. 
 
Matti Nelimarkka
 
Title: TET at HIIT
 
Finnish students are required to gain real work experience during their middle school for a week or two. With the support of Nokia foundation, we’re able to provide the opportunity to work in a real research institute. This way, they will see ICT research first hand, in a research group that lays in the interaction of society and technology. We hope that the participants will gain new understanding of this complex domain, and learn to consider technology as something constructed. They will be given real research tasks, suitable for their skills, and thus promote the opportunities in ICT RD jobs in the future.
 
When not working with the middle schoolers, Matti Nelimarkka works on his PhD, with the working title of "Designing live participation systems: computational and social transformation of co-located computer-mediated communication.” In this work, he explores how computer-mediated communication affects co-located group discussions, and studies a tool Presemo, currently used e.g. In University of Helsinki and Aalto University. He also works on computational social science, most recently studying elections, and on education, with the notation of MOOCs not only platforms for learning but also for social interaction.

 

 
29.11.2015 - 00:32 Ella Peltonen
28.11.2015 - 21:45 Pauliina M J Pajunen