See all upcoming seminars in LäsIT and seminar web pages at the homepage for the PhD studentseminars, TDB, Vi2, Theory and Applications Seminars (TAS) @ UpMARC., Department of Mathematics and The Stockholm Logic Seminar.

SysCon Seminar
Prof. Bo Bernhardsson, Department of Automatic Control Lund University: Iterative Learning Control in Practice and Theory
Location: ITC 2344, Time: 13:15

Abstract: I will talk about ILC design for a marine vibrator, a big loud speaker used to look for oil. Possible future requirements on marine surveying motivates the design of new seismic sources that have reduced impact on marine life. I will describe how ILC was successfully used to improve the spectral accuracy of the vibrator. In the 2nd part of the talk I will describe some theoretical work on a new criterion for ILC convergence. This is joint work with Olof Sörnmo, Mahdi Ardakani and Sei Zhen Khong.

Equal Opportunities Group - Monthly Meeting
Thursday 24 May
Equal Opportunities GroupLocation: ITC 4307, Time: 13:30-15:30

ON THE AGENDA: Applications

Disputation / Dissertation
Friday 25 May
Simon Sticko: High Order Cut Finite Element Methods for Wave Equations
Location: ITC 2446, Time: 10:15

Simon Sticko will present and defend his PhD thesis. The opponent will be Professor Mats G. Larson, Department of Mathematics and Mathematical Statistics, Umeå University. Professors Gunilla Kreiss has been Simon's supervisor.

DiVA includes abstract and full text.

Disputation / Dissertation
Friday 25 May
Rubén Cubo: Model-based Optimization for Individualized Deep Brain Stimulation
Location: ITC 2446, Time: 13:15

Rubén Cubo will present and defend his PhD thesis. The opponent will be Professor Madeleine Lowery, University College Dublin, Centre for Biomedical Engineering. Professors Alexander Medvedev has been Rubén's supervisor.

DiVA includes abstract and full text.

Guest Lecture
Friday 25 May
Andrea Tagarelli, University of Calabria, Italy: Community Detection in Multilayer Networks: the Ensemble Consensus Approach
Location: ITC 6140, Time: 13:15-14:00

ABSTRACT: Multilayer networks are increasingly used as a powerful model to represent the organization and relationships of complex data in a wide range of scenarios. In particular, a great deal of attention has been recently devoted to the problem of community detection. This talk will focus on one approach, namely ensemble-based community detection (EMCD). The EMCD problem concerns the aggregation of the community structures separately generated for each network layer, in order to infer a consensus solution for the input network. To address this problem, we present a modularity-driven ensemble-based approach to multilayer community detection (M-EMCD). A key aspect is that it finds consensus community structures that not only capture prototypical community memberships of nodes, but also preserve the multilayer topology information and optimize the edge connectivity in the consensus via modularity analysis. In this regard, a related study is about a novel definition of multilayer modularity, whose layer resolution parameters and inter-layer coupling factor are revisited to incorporate more topological structure information at graph and community level, also in presence of a partial order relation over the layers. The last part of the talk is devoted to a parameter-free approach, based on generative models for graph pruning, to identify the initial consensus clusters without the requirement of specifying a co-association threshold. Finally, we present an enhanced version of M-EMCD which allows for dynamic relocation of nodes during the modularity-optimization stage.

SHORT BIO: Andrea Tagarelli is an associate professor of computer engineering at the University of Calabria, Italy. From the same university, he received his PhD degree in computer and systems engineering in 2006. In April 2017, he obtained the Italian national scientific qualification to full professor, for the computer science and engineering research area (9/H1, SSD: ING-INF/05). His research interests include topics in data mining, machine learning, web and network science, information retrieval. On these topics, he has coauthored more than 100 peer-reviewed paper, and edited one book on XML data mining. He co-organized workshops on data mining topics in premier conferences in the field (ACM SIGKDD, SIAM DM, PAKDD, ECML-PKDD, ECIR). Since 2015, he is member of the editorial board of Computational Intelligence Journal and associate editor for Social Network Analysis and Mining Journal. He is co-program-chair of the 2018 IEEE/ACM ASONAM Conference.

Licentiatseminarium / Licentiate seminar
29 May
Fredrik Olsson: Modeling and Assessment of Human Balance and Movement Disorders using Inertial Sensors
Location: ITC 2347, Time: 10:15

External Examiner is Dr. Thomas Seel, Technische Universität, Berlin

Abstract: Inertial sensors and magnetometers are abundant in today's society, where they can be found in many of our everyday electronic devices, such as smart phones or smart watches. Their primary function is to measure the movement and orientation of the device and provide this information for the apps that request it.

This licentiate thesis explores the use of these types of sensors in biomedical applications. Specifically, how these sensors can be used to analyze human movement and work as a tool for assessment of human balance and movement disorders. The methods presented in this thesis deal with mathematical modeling of the sensors, their relationship to the biomechanical models that are used to describe the dynamics of human movement and how we can combine these models to describe the mechanisms behind human balance and quantify symptoms of movement disorders.

The main contributions come in the form of four papers. A practical calibration method for accelerometers is presented in Paper I, that deals with compensation of intrinsic sensor errors that are common for relatively cheap sensors that are used in e.g. smart phones. In Paper II we present an experimental evaluation and minor extension of methods that are used to determine the position of the joints in a biomechanical model, using inertial sensor data alone. Paper III deals with system identification of nonlinear controllers operating in closed loop, which is a method that can be used to model the neuromuscular control mechanisms behind human balance. In Paper IV we propose a novel method for quantification of hand tremor, a primary symptom of neurological disorders such as Parkinson's disease (PD) or Essential tremor (ET), where we make use of data collected from sensors in a smart phone. The thesis also contains and introduction to the sensors, biomechanical modeling, neuromuscular control and the various estimation and modeling techniques that are used throughout the thesis.

SysCon Seminar
29 May
Dr. Thomas Seel, Department of Electrical Engineering and Computer Science, Technische Universität, Berlin: Controlling the Most Complex "Robotic" System When its Embedded Controller Fails
Location: ITC 1211, Time: 15:15

Abstract: The central nervous system controls the human musculoskeletal system, whose complexity exceeds those of the most advanced robotic systems. Neurological disorders and injuries lead to a loss of sensorimotor function. By means of wearable sensor networks, robotics, neuromuscular stimulation and control engineering methods, these functions can be restored to an unprecedented degree.

Disputation / Dissertation
30 May
Yunyun Zhu: Caches, Transactions and Memories: Models, Coherence and Consistency
Location: ITC 2446, Time: 9:00

Yunyun Zhu will present and defend the PhD thesis "Caches, Transactions and Memories: Models, Coherence and Consistency." The opponent will be Professor Riadh Robbana, National Institute of Applied Sciences and Technology (INSAT), University of Carthage, Tunisia. Parosh Abdulla, Mohamed Faouzi Atig, Ahmed Rezine and Bengt Jonsson have been supervisors.

DiVA includes abstract and full text.

Disputation / Dissertation
7 June
Andreas Löscher: Targeted Property-Based Testing with Applications in Sensor Networks
Location: Auditorium Minus, Gustavianum, Akademigatan 3, Uppsala, Time: 9:15

Andreas Löscher will present and defend his PhD thesis. The opponent will be Associate Professor John Hughes, Chalmers University of Technology. Professor Thiemo Voigt and Dr. Konstantinos Sagonas have been the supervisor.

DiVA includes abstract and full text.

Licentiatseminarium / Licentiate seminar
14 June
Charalampos Orfanidis: Robustness in Low Power Wide Area Networks
Location: ITC 2246, Time: 13:30

External Examiner: Dr. Matti Hämäläinen, University of Oulu, Finland

Abstract: During the past few years we have witnessed an emergence of Wide Area Networks in the Internet of Things area. There are several new technologies like LoRa, Wi-SUN, Sigfox, that offer long range communication and low power for low-bitrate applications. These new technologies enable new application scenarios, such as smart cities, smart agriculture, and many more. However, when these networks co-exist in the same frequency band, they may cause problems to each other since they are heterogeneous and independent. Therefore it is very likely to have frame collisions between the different networks.

In this thesis we first explore how tolerant these networks are to Cross Technology Interference (CTI). CTI can be described as the interference from heterogeneous wireless technologies that share the same frequency band and is able to affect the robustness and reliability of the network. In particular, we select two of them, LoRa and Wi-SUN and carry out a series of experiments with real hardware using several configurations. In this way, we quantify the tolerance of cross technology interference of each network against the other as well as which configuration settings are important.

The next thing we explored is how well channel sensing mechanisms can detect the other network technologies and how they can be improved. For exploring these aspects, we used the default Clear Channel Assessment (CCA) mechanism of Wi-SUN against LoRa interference and we evaluated how accurate it is. We also improved this mechanism in order to have higher accuracy detection against LoRa interference.

Finally, we propose an architecture for WSNs which will enable flexible re-configuration of the nodes. The idea is based on Software Defined Network (SDN) principles and could help on our case by re-configuring a node in order to mitigate the cross-technology interference from other networks.

Equal Opportunities Group - Monthly Meeting
23 August
Equal Opportunities Group: A Better PhD Student Education for All
Location: ITC 4307, Time: 13:30-15:30

ON THE AGENDA: Applications + A Better PhD Student Education for all (section 3.3 in the action plan)

Equal Opportunities Group - Monthly Meeting
Equal Opportunities Group: Supporting Women in Post Doc-, Associate Senior Lecturers- or Senior Lecturers Positions
Location: ITC 4307, Time: 13:30-15:30

ON THE AGENDA: Applications + Supporting Women in Post Doc-, Associate Senior Lecturers- or Senior Lecturers Positions (section 3.4 in the action plan)

Equal Opportunities Group - Monthly Meeting
Equal Opportunities Group: TBA
Location: ITC 4307, Time: 13:30-14:30


See also the list of all upcoming seminars.

Internal seminars. Lecturers may be either internal or external.