Tampere University of Technology


Areas of collaboration

According to the Collaboration Agreement between research teams of the Laboratory of Data Acquisition, Processing and Transmission of the Faculty of Automatic Control and Computers (A&C) and the Department of Signal Processing (DSP) of the Tampere University of Technology (TUT), two mains thematic area were decided for extended researches:

  • Modelling of complex dynamical systems 
  • Applications of stochastic modelling 

The protocol involves two-way secondments, common research activities and results dissemination.

Two-way secondments
First year
  • A&C->TUT: 
2 Short stay secondments: 1 persons x 1 week 
(Participants prof. Dan Popescu and assist. Maximilian Nicolae) 
  • TUT->A&C:
1 Short stay secondment: 1 person  x 1 week (dr. Ciprian Giurcaneanu)
1 Long stay secondment  1 person  x 1 month (prof. Ioan Tabus)
Second year 
  • A&C->TUT: 
2 Short stay secondments: 1 persons x 1 week 
(Participants prof. Dan Popescu and prof. Radu Dobrescu) 


Main scientific objectives

  • Modelling of complex dynamical systems 
Model selection methods based on stochastic complexity or on normalized maximum likelihood models have been developed recentluy at TUT. Their applications to various fields like audio signal analysis and compression, biological sequence compression, assisted diagnosis of diseases have shown the power and the usefulness of the developed methodology. A recent direction where PUB has promising contributions is the elaboration of biological and medical models.
  • Applications of stochastic modelling 
In our meetings we reviewed the existing expertise of TUT in adaptive filtering and sparse modeling, which are essential parts of the algorithms to be run locally at the processors of a distributed sensor networks. The expertise of PUB in sensor networks and transmission protocols was also used for proposing new distributed sensor networks, with more advanced capabilities, due to a better collaboration of the individual algorithms in an overall more intelligent distributed architecture.
Joint research topics
New methods in networks modelling
PhD thesis: Communication infrastructure for a wireless sensor network alert system 
Author: Horia HUMAILA. 
Co-tutel advisors: Radu Dobrescu (UPB) and Ioan Tabus (TUT)
Sustained: October 2011
Main result: 
Evidence of the influence of network topology on traffic behaviour.
Patent proposal: Process of pointing out self similarity of internet traffic, 
Patent Number(s): RO125569-A0 (ISI patent)
New insights in modelling biological processes
Published papers:
V.E.Oltean, R. Dobrescu, L. Ichim “On modelling and control of a class of tumour growth processes”, Revue Roumaine des Sciences Techniques-Serie Electrotechnique et Energetique,  Volume: 56   Issue: 1   Pages: 109-118, 2011
R. Dobrescu, M. Tanase „Using a mix of cellular automata in tumor margin analysis”, Proc. of the 8-th European Conference on Mathematical and Theoretical Biology, Krakow, 2011
R. Dobrescu, I. Tabus “Normalized ML models for nonlinear models”, paper under revision, to appear in EURASIP Journal of Bioinformatics and Systems Biology
Advanced sensor network based cooperative control solutions
Published papers.
R. Dobrescu, D. Popescu, G. Florea “Cellular Automata Models for Cooperation in Multirobot Systems”, Proc. of the 12th International Conference on  Robotics, control and manufacturing technology (ROCOM'12), Rovaniemi, Finland, April 2012
D. Popescu,R. Dobrescu, M.I. Strutu “Collaborative estimation of environment parameters”, Proc. of the 12th International Conference on  Robotics, control and manufacturing technology (ROCOM'12), Rovaniemi, Finland, April 2012
R. Dobrescu, D. Popescu, I, Tabus - Distributed sensor networks for Ambient Assisted Living application, paper under revision, to be published in Control Engineering Practice
Dissemination of research results
  • Invited Session at the 5-th International Symposium of Interdisciplinary Approaches in Fractal Analysis – IAFA 2011 (organizers: Ioan Tabus (TUT) and Radu Dobrescu (PUB))
  • The authors are all members of the cooperative group PUB and TUT
  • The papers were selected for publication in the volume "Advances in Intelligent Control Systems and Computer Science”, Springer Verlag