RMSW 2016 updated Program

Dear Participants of RMSW 2016,

We would like to inform you that updated Program of RMSW 2016 is available here

RMSW 2016 Registration starts on Tuesday, 27 September, 2016 at 8.00. The place of registration is the foyer of the main building of the National Aviation University (Prospect Komarova, 1).

We are looking forward to seeing you in Kiev soon.
Felix Yanovsky, RMSW 2016 Chairman
Yuliya Averyanova, RMSW 2016 TPC Chair and Coordinator

Lectures of Dr. Eli Brookner

Dear Colleagues,

We would like to invite you to attend lectures by Dr. Eli Brookner, the IEEE AESS Distinguished Lecturer that will be held on 27.09.2016 and 28.09.2016 at National Aviation University, Kiev, Ukraine.

Lectures’ Schedule:
“Outstanding Advances in Phased-Arrays and Radar”
27.09.2016 (09.10 – 10.50), Academic Council Hall
“MIMO Radar – Demystified and Where it Makes Sense“
28.09.2016 (09.00-10.40) Academic Council Hall
We are looking forward to seeing you!

Congratulations to Prof. Igor Prokopenko

IEEE Central Ukraine Joint Chapter of the SP and AES Societies congratulates member of the chapter, Prof. Igor Prokopenko with distinction as Chair Professor of Harbin Institute of Technology.

Diploma of “Chair Professor of Harbin Institute of Technology”


Presentation of Diploma of Merit “Chair Professor of Harbin Institute of Technology” to the Prof. Igor Prokopenko


Participants of the 2nd Ukraine and China Scientific and Technical Forum, 3.07-11.07.2016, Harbin Institute of Technology, Harbin, People’s Republic of China

Meeting of the IEEE Ukraine Section

EEE Central Ukraine Joint Chapter of the SP and AES Societies Representatives took part in annual Meeting of the IEEE Ukraine Section that was held on August 27, 2016 in Kiev.

Representatives from 6 IEEE Ukraine  chapters  and 2 Affinity Groups meet to consider agenda questions, share their experience and discuss future developments.

MMET 2016 photo report

Bright and remarkable scientific event in Lviv, Ukraine – 16th IEEE International Conference on Mathematical Methods in Electromagnetic Theory (MMET 2016) that joined researches from 16 countries was held from 05.07.2016 to 07.07.2016. (http://www.mmet.org/2016/index.php,
Welcome words of IEEE Ukraine Section Chair , Prof. Felix Yanovsky

Team from National Aviation University

Kseniia Semenova, PhD Student of National Aviation University has been awarded with the Second Prize sponsored by IEEE GRS-Society

More pictures from MMET 2016 you can find at http://ieee.nau.edu.ua/photogallery/

MMET*2016

Dear Colleagues,

We would like to announce the 16th International Conference on Mathematical Methods in Electromagnetic Theory (MMET*2016), July 5 – 7, 2016, Lviv, Ukraine.

MMET is a traditional forum held in Ukraine famous as efficient interface between the Ukrainian and Western scientists and engineers in the broad area of modeling and simulation of electromagnetic fields.

MMET*2016 Second Call for Papers is now available on the Conference web-site: http://www.mmet.org.

For more details please contact MMET*2016 Secretary at mmet2016@gmail.com.

Summer School on Signal Processing and Machine Learning for Big Data in Pittsburgh, USA

Dear All,
We are organizing the 2016 IEEE Signal Processing Society Summer School on Signal Processing and Machine Learning for Big Data (http://www.engineering.pitt.edu/ieeesps/). The workshop will be held in Pittsburgh, PA, USA, May 17 – 19, 2016. We would appreciate very much if you can forward this information along with a brief description of the workshop to your local members. Thank you very much for your time and effort.
Sincerely,
Ervin Sejdic and Murat Akcakaya

A brief description of the workshop:

Humans, machines and sensors collectively generate an enormous amount of data on a daily basis. The fact that much of this data is now accessible provides an opportunity to explore, analyze and extract previously unavailable and potentially highly useful information. In many cases, the volume and speed of data generation makes traditional centralized data analysis infeasible. The lack of structure, and the amount of noise and outliers emphasize the need for robust processing across heterogeneous data domains. High dimensionality makes it challenging to visualize and interpret the data. Overall, Big Data analysis presents many challenges and opportunities for current and future signal processing professionals. This Summer School is intended to provide an introduction to the current efforts to explore Big Data from a signal processing perspective. Topics will range from foundations for Big Data analysis and processing (robust statistical methods, sparse representations, numerical linear algebra, machine learning, convergence and complexity analysis) to Big Data applications (social networks, behavior and language analysis, bioinformatics, smart grid, environmental monitoring, and others). For more information please visit http://www.engineering.pitt.edu/ieeesps/and to register please visit https://www.regonline.com/ieeesummerschoolonbigdata before April 30th, 2016.