IEEE Estonia

IEEE
May 25th, 2016

The IEEE Distinguished Lecturer of Signal Processing Society Prof. Hamid Krim is going to deliver a speech on Friday, Jun. 10 in two places:

  • 10:00 in Tallinn University of Technology, auditorium NRG-131 (Faculty of Power Engineering building at Ehitajate tee 5), and
  • 15:30 – 17:30 in University of Tartu, auditorium (room 111) of the Computer Science Department, located at Juhan Liivi 2, 50409 Tartu.
    The event in Tartu is organized by the University of Tartu IEEE Student Branch, and sponsored by the iCV Research Group. The speech will be followed by free discussion and refreshments. Two attendants will win prizes each being worth a one-year IEEE student membership. For more information, you may contact us at ieee AT ut.ee, or visit our website http://ieee.ut.ee/ or our Facebook page https://www.facebook.com/IEEETartu/.”

Title: Convexity, Sparsity, Nullity and all that….

Abstract: High dimensional data exhibit distinct properties compared to its low dimensional counterpart; this causes a common performance decrease and a formidable computational cost increase of traditional approaches. Novel methodologies are therefore needed to characterize data in high dimensional spaces. Considering the parsimonious degrees of freedom of high dimensional data compared to its dimensionality, we study the union-of-subspaces (UoS) model, as a generalization of the linear subspace model. The UoS model preserves the simplicity of the linear subspace model, and enjoys the additional ability to address nonlinear data. We show a sufficient condition to use l1 minimization to reveal the underlying UoS structure, and further propose a bi-sparsity model (RoSure) as an effective algorithm, to recover the given data characterized by the UoS model from errors/corruptions. As an interesting twist on the related problem of Dictionary Learning Problem, we discuss the sparse null space problem (SNS). Based on linear equality constraint, it first appeared in 1986 and has since inspired results, such as sparse basis pursuit, we investigate its relation to the analysis dictionary learning problem, and show that the SNS problem plays a central role, and may naturally be exploited to solve dictionary learning problems. Substantiating examples are provided, and the application and performance of these approaches are demonstrated on a wide range of problems, such as face clustering and video segmentation.

HamidKrimBiography: Hamid Krim received his BSc. MSc. and Ph.D. in Electrical Engineering. He was a Member of Technical Staff at AT&T Bell Labs, where he has conducted R&D in the areas of telephony and digital communication systems/subsystems. Following an NSF postdoctoral fellowship at Foreign Centers of Excellence, LSS/University of Orsay, Paris, France, he joined the Laboratory for Information and Decision Systems, MIT, Cambridge, MA as a Research Scientist and where he was performing and supervising research. He is presently Professor of Electrical Engineering in the ECE Department, North Carolina State University, Raleigh, leading the Vision, Information and Statistical Signal Theories and Applications group. His research interests are in statistical signal and image analysis and mathematical modeling with a keen emphasis on applied problems in classification and recognition using geometric and topological tools. He has served and is currently serving on the IEEE editorial board of SP, and the TCs of SPTM and Big Data Initiative, as well as an AE of the new IEEE Transactions on SP on Information Processing on Networks, and of the IEEE SP Magazine. He is also one of the 2015-2016 Distinguished Lecturers of the IEEE SP Society.

 

Additional information:
Morteza Daneshmand, e-mail: mortezad AT ut.ee


March 30th, 2016

The University of Tartu IEEE Student Branch is going to hold a career workshop on Thursday, Apr. 07, 16:00 – 17:30. During the workshop, as the main theme, the following successful entrepreneurs will deliver keynote speeches:

First is Jürgen Jõgeva, the Business Developer of Axinom. It is one of the leading software solution providers in Europe and North America with more than 15 years of experience and a strong technical expertise in digital rights management, content management, synchronization services and delivery solutions for embedded, crew and consumer devices;

The second one is Priit Salumaa, the Sales and Project Manager of Mooncascade. They are a team of over 60 skilled professionals brought together by four software engineers, who are passionate about mobile and web development. They design and develop mobile applications, responsive web and backend solutions.

The agenda will be roughly as follows:

  1. 16:00 – 16:15 –> Introduction to IEEE, by the Branch Counselor (Assoc. Prof. Gholamreza Anbarjafari);
  2. 16:15 – 16:45 –> Talk by Jürgen Jõgeva;
  3. 16:45 – 16:55 –> Questions and answers;
  4. 16:55 – 17:25 –> Talk by Priit Salumaa;
  5. 17:25 – 17:35 –> Questions and answers;
  6. 17:35 – 18:00 –> Refreshments and free discussion.

Two attendants will win prizes each being worth a one-year IEEE student membership.

The venue is the Auditorium (room 111) of the Computer Science Department, located at Juhan Liivi 2, 50409 Tartu.

For more information, you may contact us at ieee@ut.ee, or visit our website http://ieee.ut.ee/ or our Facebook page https://www.facebook.com/IEEETartu/.”


December 21st, 2015

The elections of Estonia Section and chapters’ officers took place electronically on 8-20 December 2015. The voting participation rate was up to 53%.

The detailed voting results:

IEEE Estonia Section vice-chair (26% – participation rate)
Position: Vice-Chair         Peeter Ellervee (100%)

C/COM joint chapter chair and vice-chair (37%)
Position: Chair                Urmet Jänes  (100.0%)
Position: Vice-Chair         Alar Kuusik  (100.0%)

Education chapter chair and vice-chair (53%)
Position: Chair                Tiia Rüütmann  (12.5%); Toomas Rang  (87.5%)
Position: Vice-Chair         Tiia Rüütmann (write-in)  (50.0%); Olev Märtens (write-in)  (50.0%)

IM/ED/EMB joint chapter chair and vice-chair (43%)
Position: Chair                Toomas Parve  (100.0%)
Position: Vice-Chair         Yar Muhammad  (100.0%)

SP/CAS/SSC joint chapter chair and vice-chair (52%)
Position: Chair                Gholamreza Anbarjafari  (36.3%); Tõnu Trump  (63.6%)
Position: Vice-Chair         Gholamreza Anbarjafari (write-in)  (100.0%)

 
Nominating Committee: prof. Vello Kukk, Maie Bachmann and Marko Koort.


December 18th, 2015

One more thing … IEEE Estonia Section has another new “family member”:

Petition to form the Tallinn University of Technology Women In Engineering Student Branch Affinity Group was officially approved on 17th of December 2015 by IEEE Member and Geographic Activities Department.
The Chairperson of new affinity group is Apneet Kaur, and Adviser is Maie Bachmann.

Ready for very fruitful year 2016!


December 15th, 2015

IEEE Electron Devices Society: Distinguished Lecturer event :

More Moore and More than Moore meeting for 3DSimon d pic

by Prof. Simon Deleonibus
Chief Scientist/Directeur Scientifique, CEA, LETI, MINATEC Campus, Grenoble, France
Visiting Professor at Tokyo Institute of Technology, Tokyo, Japan
Visiting Professor at National Chiao Tung University, Hsinchu, Taiwan

December the 18-th, 2015, 12:00-13:50,
room U03-302 in Tallinn University of Technology (TUT), Ehitajate str 5

in co-operation with IEEE Estonian Section and TUT (Thomas Johann Seebeck Department of Electronics, ICT doctoral school)
Information about event and optional registration (latest 18.12, 9:30) is here.


December 1st, 2015

Really exiting news – there are two IEEE Student Branches in Estonia now!
The University of Tartu (UT) Student Branch got approved on 30th of November 2015.

The Counselor of freshly formed student branch is Gholamreza Anbarjafari and
the Student Branch Chair is Morteza Daneshmand.

Congratulations and let the actions begin!

 


October 26th, 2015

IEEEXtreme 24-Hour Programming Competition took place on 24th of October. There were 7 teams (in each 3 IEEE Student or Graduate Student members) from Estonia participating – 4 teams from Tallinn University of Technology, 2 from University of Tartu and 1 from Estonian IT College.

In tough global competition where more than 2000 teams participated, three of Estonian teams were ranked among the first 100. Table of results:

Team University Global rank
X3M University of Tartu 51
50LinesOfCode Tallinn University of Technology 63
Uniteam Tallinn University of Technology 95
NoCodeInSight Tallinn University of Technology 159
JaakTree University of Tartu 219
KKSPlusPlus Tallinn University of Technology 240
VariableMoods Estonian IT College 647

Great!


October 6th, 2015

Everything about IEEE day around the globe: IEEE day in web


September 3rd, 2015

On Wednesday, 16th September 2015 at 14:00, Tallinn University of Technology, room NRG-226
IEEE distinguished lecturer Prof. Maria Sabrina Greco from University of Pisa

Marina_Sabrina

Abstract

After a brief introduction dedicated to modern statistical and spectral modeling and analysis of high-resolution sea and ground clutter, the lecture will focus on coherent radar detection in non-Gaussian background. Optimum and sub-optimum detectors are derived and their performance analysed against a non-Gaussian background. Different interpretations of the various detectors are provided that highlight the relationships and the differences among them. Moreover, some discussion is dedicated to how to make adaptive the detectors, by incorporating a proper estimate of the disturbance covariance matrix, in order to guarantee the CFAR behaviour of the detector. Results with simulated and real recorded data will be shown.


May 12th, 2015

 

2015_Recognition_Award_Banners_Silver_Recruitment_Estonia

IEEE Estonia Section was recognized on base of three last years of membership development performance. As a matter of fact, the ratio of IEEE members in Section to population of Estonia has reached to level of older European countries.

Still there is lot of space to increase it further 🙂