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Archive for the ‘Students’ Category

IEEE Extreme Programming Competition 12.0: An Overview

Wednesday, October 24th, 2018

The IEEE Xtreme Programming Competition 12.0 has concluded! IEEE Xtreme is an annual hackathon and competitive programming challenge where student teams from all over the world compete to solve a set of programming tasks. This year, 4046 teams participated in the event from 73+ countries among them 8 teams from Estonia divided between TalTech and Tartu universities. The teams had to solve 24+2 tasks in 24 hours. Less than half of the teams were able to achieve a score.

We would like to congratulate the team from Tartu University for reaching the 6th place in the competition! We would also like to thank all the proctors who devoted their time to supervise the teams in both TalTech University (6 teams) and Tartu University (2 teams).

A bit of statistics from neighboring countries: Latvia (1 team, score 342.13), Lithuania (one team, no score), Poland (one team, no score), Finland (1 team, score 129.83), Russia (1 team, score 411.36), Belgium (10 teams, best score 1320.87), Austria (21 teams, best score 1273.31), Switzerland (5 teams, best score 2107.1 = third place).

Further information about the teams and results will be published soon at https://ieeextreme.org/

Prof. Olev Märtens Receives IEEE IMS 2018 Faculty Course Development Award

Wednesday, May 23rd, 2018

It is our pleasure to announce that Prof. Olev Märtens was awarded the IEEE Instrumentation and Measurement Society 2018 Faculty Course Development Award for the project entitled “Impedance Spectroscopy”! Congratulations!

IEEE Estonia Young Professionals: Kick-off Seminar “From Academia to Industry”

Wednesday, May 23rd, 2018

Join us for the kick-off seminar hosted by the newly formed IEEE Estonia Section Young Professionals Affinity Group! In this two-hour event, we will tell you about IEEE, the Estonia Section, and Young Professionals, and invited company representatives will also speak about their companies, internship and work opportunities! Confirmed companies include Telia, Swedbank, ABB, LDI Innovation, and Valmet.

To register, either do it through Eventbrite by getting a free ticket, or do it via Facebook by marking yourself as “Going” to the event.

Facebook page: https://goo.gl/GGGHuz
Eventbrite page: https://www.eventbrite.com/e/ieee-estonia-young-professionals-from-academia-to-industry-seminar-tickets-46226084463

New joint chapter is born

Friday, December 16th, 2016

On 14th of December the IEEE Member and Geographic Activities Department approved the petition to form a new joint chapter “Estonia Section Industry Applications, Power & Energy, and Robotics and Automation Joint Societies Chapter“. Shortly: IA/PE/RA joint chapter.

The prelim chair of the chapter is initiator of the petition Marko Koort (Industrial Ambassador of the section) and one of his the first activities will be organization of elections to elect full chair and vice-chair of the chapter.

Congratulations and lot of energy for all members of the IA/PE/RA chapter!

K.T.

IEEEXtreme 10.0 success

Monday, October 24th, 2016

13 teams took part of this year anniversary IEEEXteme programming competition, 8 from Tallinn University of Technology and 5 from University of Tartu (one team was formed in Narva College of UT). The result was impressive because a team – VertexCover from UT reached to the 1st place in leaderboard, sharing the same score with teams from Switzerland, Iran and Australia! Three teams from UT were in the fist hundred, three teams from TUT in the second hundred, meaning that about half of teams were good enough to belong to the top 10% of participants around the globe.

Great job, Estonian teams (ordered according to place in leaderboard): VertexCover, eSchmetterlinge, Enceladus, singleSpace, 50MoreLinesOfCode, SuperFly, TheEbony, TheTeamTeam, CodeZal, suvakas, ChildrenCoding and NarvaCollegeCode!

ieeextreme10_time0335

Dark night, the competition has just begun. Tallinn teams at 3:35

ieee10_finalleaderboard

The leaderboard. The very top.


K. Tammemäe 24.10.2016

IEEE Day 2016

Tuesday, October 4th, 2016

Happy IEEE Day 2016!

On 4th of October the members of IEEE around the globe are celebrating the IEEE Day with number of inspiring events, competitions and gatherings.
In Tallinn, many of the IEEE members are busy with Baltic Electronic Conference which is in all terms proper event to celebrate the IEEE Day too.
In addition, Student branches and WIE of TUT SB might have something special in their agenda!
Also, one more of IEEE events is approaching – IEEEXtreme 24h programming contest on 22th of October. Several student teams have already registered as the deadline is closing (14th of October). The aim – to repeat success of previous competitions and get into the list the first hundred of the best programmers teams in the world.

Let the IEEE Day be something contextually important for everyone on our path for Advancing technology for humanity!

K.T.

Estonia Section Summer Seminar on 19-20 August

Friday, July 1st, 2016

Registration to IEEE Estonia Section traditional Summer Seminar on 19-20 August, 2016 is open.
It is our anniversary seminar – IEEE Estonia Section will become 10 years old!
The first part of seminar will take place at TUT Virumaa College, located in Kohtla-Järve, on 19th of August. Evening and the next day will be in Saka Manor near to Kohtla-Järve.
Accommodation (limited places!) will be in Saka Manor (http://www.saka.ee/).

Event description (program, presentations, etc.) is h e r e.
Deadline for registration is 31th of July 2016.
Participation is free for IEEE members, for others the cost will be calculated during registration.

For additional details of the event please contact section officers.

Lecture-seminar by Prof. Igor Meglinski

Thursday, June 16th, 2016

Bio-Photonics: Development of revolutionary tools for cancer diagnostics based on advanced analysis of coherent light scattering and polarization-based imaging

Thursday, June 16th 2016 at 14:00, TUT auditorium U02-307

Also other activities carried on in OPEM Laboratory of Univ. of Oulu will be discussed, e.g.:

  • Organic solar cells and organic LEDs by additive deposition and printing technologies, memristors and microlens arrays, novel characterization tools for thin film structures, synchronized thermography method and Printed Intelligence Research group (within
    Printocent industrial cluster)
  • Reliable cost-effective food quality screening, personalized e-health system, novel miniaturized biosensors and health monitoring via wireless communication, functional non-invasive brain imaging with optics-based tools, multi-modal data acquisition approach for medical diagnosis, nano anti-Stokes luminophores (NAL) technology for cancer detection etc.
  • Active role of OPEM laboratory in different R&D networks like, e.g. Biophotonics4Life Worldwide consortium and Baltic Sea Research Network NanoPhoto

Prof. Igor Meglinski is Senior member of IEEE, Fellow of SPIE, Fellow of the Institute of Physics (UK), Node Leader of Biophotonics4Life Consortium (Head of Lab. of Optoelectronics and Measurement Techniques OPEM, Univ. of Oulu, FI. He is author or co-author of more than 220 research publications, he has been invited or plenary session speaker in more than 200 international scientific meetings. His previous appointments before 2014 have been Saratov State University (RU), Univ. of Pennsylvania (USA), Univ. of Exeter (UK), Cranfield Univ. (UK), and Univ. of Otago (NZ).

IEEE Computer Society Distinguished Lecturer Bernadetta Kwintiana Ane in TUT

Thursday, June 2nd, 2016

IEEE Computer Society Distinguished Lecturer Bernadetta Kwintiana Ane will give a lecture on Moday 6th of June 2016 at 11:00 in IT Maja Akadeemia tee 15A, room # ICT-507 A/B

Embedded Systems as Foundations of Cyber-Physical Systems

Abstract: Robots, intelligent buildings, implantable medical devices, cars that drive themselves or planes that automatically fly in a controlled airspace are examples of Cyber-Physical Systems (CPS). Today, CPS can be found in such diverse industries as aerospace, automotive, energy, healthcare, manufacturing, infrastructure, consumer electronics, and communications. Everyday life is becoming increasingly dependent on these systems, in some cases with dramatic improvements. CPS can be described as smart systems that encompass computational (i.e., hardware and software) and physical components, seamlessly integrated and closely interacting to sense the changing state of the real world. These systems involve a high degree of complexity at numerous spatial and temporal scales and highly networked communications integrating computational and physical components. In fact, CPS is about the intersection, not the union, of the physical and the cyber. In CPS, embedded computers and networks monitor and control the physical processes, usually with feedback loops where physical processes affect computations and vice versa. The design of such systems requires understanding the joint dynamics of computers, software, networks, and physical processes. Therefore, it is not sufficient to separately understand the physical components and the computational components. We must instead understand their interaction.

Bernadetta Kwintiana Ane is a Senior Researcher at the Institute of Computer-aided Product Development Systems, University of Stuttgart in Germany. She has 12 years teaching experiences mainly in Engineering Graphics and Design, particularly for application in the fields of Mechanical Engineering and Computer Science. Her research interest includes computer bernadettakwintianaaided geometric design (CAGD), reverse engineering, computer-aided design/manufacturing/ engineering (CAD/CAM/CAE), product design, design visualization, design automation, computer supported collaborative design, virtual reality based product design, cyber-physical design systems, and not limited to scientific data rendering and visualization for application in bioinformatics and in-silico modelling.

She has won various international research grants and has published more than 65 scientific writings in the form of books, chapters in books, journal papers, and conference papers. She is a fellow of Monbukagakusho, Japan as well as the Alexander von Humboldt Foundation and German Academic Exchange Service (DAAD), Germany. Since 2007, she played active roles as lead researcher in the international research projects in Germany as well as member in other European countries’ projects. Currently, as a Humboldtian and IEEE professional member she serves internationally as research fellow for several European research centers. She also serves as an associate editor for the Journal of Intelligent Automation and Soft-Computing (Taylor & Francis) and Journal of Applied Soft Computing (Elsevier Science), as well as grant assessor for The Czech Academy of Science, The Czech Science Foundation, and an independent expert to assist the European Commission with tasks in connection with the Framework Programme (Horizon2020) for Research and Innovation.

 

Additional information:
Urmet Jänes <urmet AT uninet.ee>

IEEE Distinguished Lecturer Prof. Hamid Krim in Tallinn and Tartu

Wednesday, May 25th, 2016

The IEEE Distinguished Lecturer of Signal Processing Society Prof. Hamid Krim is going to deliver a speech on Friday, June 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