Ira Assent & Daniel E. Lucani

Insights from the Computer Science Research Field at AU



Aarhus University
Peter Bøgh Andersen Auditorium
Finlandsgade 23, Nygaard-bygningen
8200 Aarhus N


16:30 - 17:00 Doors open
17:00 - 17:45 Presentation by Ira
17:45 - 18:05 Food and networking break
18:05 - 18:50 Presentation by Daniel
18:50 - 19:00 Q&A
19:00 Meetup ends

Insights from the Computer Science Research Field at Aarhus University

Aarhus University is a leading research-intensive university and it has been ranked as the #1 Danish Computer Science Department in 2019. We therefore invite leading researchers to give you insights from the Computer Science research field. This time we focus on IoT and Big Data Analysis.

This event focus on research within Internet of Things and Big Data Analysis, and targets anyone interested in state-of-the-art Computer Science research concerning these two topics.


We have invited Ira Assent, Professor at the AU Computer Science Department, to give insights from about Big Data Analysis. Furthermore, we have invited Associate Professor at AU Department of Engineering, Daniel E. Lucani, to give research insights about IoT. Their talks are described in detail below.

Talk 1: Big Data Analysis – making sense of our digital world

Big Data seems to be everywhere. More and more data is being generated and collected on virtually all aspects of our lives, from social networks to online shopping and home entertainment. With powerful data analysis methods from artificial intelligence, machine learning and data mining, we have the potential to tap into these large data resources to learn about our (digital) environment, and to improve services and products.
This talk gives an introduction to how Big Data Analysis allows us to analyze our digital world to predict events, identify trends, or extract complex relationships. I will present recent examples of our research for applications such as document analysis or error detection. With the increasing application of data analysis in decision-making that has a direct impact on people’s lives, there is also a growing concern regarding the transparency and fairness of algorithms underlying Big Data Analysis. I will discuss some of our recent work on discrimination-aware machine learning that provides transparent balancing of these concerns.

Ira Assent is a professor and head of the Data-Intensive Systems research group in the Department of Computer Science at Aarhus University. She also heads the Big Data Analysis research at the DIGIT Aarhus University Centre for Digitalisation, Big Data and Data Analytics. Prior to joining Aarhus University, she was with Aalborg University, and her alma mater, RWTH Aachen University, Germany (PhD 2008). Iras research interests are methods, algorithms and technology in machine learning, data mining and data management, with a special focus on efficiency and scalability to Big Data. She has (co-)authored approx. 100 papers in journals, books and conference proceedings.


Read about Ira’s research areas, latest publications and projects HERE.

Ira Assent

Ira Assent

Talk 2: Internet of Things – Beyond Connectivity

The increasing adoption and expansion of Internet of Things (IoT) technologies is leading to a dramatic growth in the number of connected devices. This growth goes hand in hand with an explosion of data generated from a large number of devices and applications.  Already today, almost 5 Million TeraBytes of data are generated each day from the IoT and expected to grow exponentially in coming years. In many scenarios, these devices are battery-powered and/or with limited computing capabilities. Although early research in IoT focused on the problem of connectivity, e.g., how to connect a massive number of devices in a relatively small area, the challenges do not stop there.


This talk discusses key challenges of the IoT for communicating and storing the data effectively, bringing in new techniques being developed at our team at Aarhus University and the DIGIT centre to reduce the amount of data sent through the network by each IoT device, reducing the storage footprint of such data in the Edge/Cloud infrastructure, and maintaining high-performance at the time of processing the IoT data. We exploit data similarity not only to improve the performance of individual devices, but also to allow devices to help each other. This cooperation helps to further reduce the costs to each device and results in less infrastructure, thus, helping to reduce the carbon- and electricity-footprint of the IoT.

Daniel E. Lucani is an Associate Professor at the Department of Engineering at Aarhus University since April 2017. He is leads the Network Computing, Communications, and Storage Group and the Internet of Things research directions at the DIGIT Aarhus University Centre for Digitalisation, Big Data and Data Analytics. Dr. Lucani is also the founder and Chief Scientist of the start-up company Chocolate Cloud ApS since June 2014.  Dr. Lucani was an Associate Professor at Aalborg University (2012-2017) and an Assistant Professor at the University of Porto (2010-2012). Dr. Lucani received his Ph.D. degree in electrical engineering (2010) from the Massachusetts Institute of Technology (MIT). Dr. Lucani is an IEEE Senior member, the recipient of the IEEE ComSoc Outstanding Young Researcher Award for the EMEA region in 2015, and the recipient of the Danish Free Research Foundation Sapere Aude Starting Grant.  Dr. Lucani has published more than 170 scientific papers in international journals and top- ranked international conferences as well as 8 patents and patent applications. His research interests include communications and networks, network coding, coding theory, distributed storage and computation, and their applications to cloud computing technologies necessary to enable IoT, BigData and 5G applications and services.


Read about Daniel’s latest publications, projects and prizes HERE.

Daniel Rötter

Daniel E. Lucani


Registration deadline: 14.02.2020


This is a closed meetup for employees from Destination AARhus partner companies and students at Aarhus University.


There are 250 seats, which will be distributed by a first-comes-first principle.



If you have signed up for the workshop but need to cancel your reservation, please notify us as soon as possible by writing an email to: maria_thing@destinationaarhus.com


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