IEEE Central Ukraine Joint Chapter

Welcome to the homepage of the IEEE Central Ukraine Joint Chapter of the SP and AES Societies that was created in 2007 by the initiative of 16 founder IEEE members.

The Chapter Committee and most of the members are located in Kiev, the capital city of Ukraine.

The Chapter is open for IEEE members who live also in other yanovsky2cities, towns and villages of Ukraine and belong to Signal Processing (SP), Aerospace and Electronic Systems (AES), Geoscience and Remote Sensing (GRS), Computer, and other societies.

Felix Yanovsky,

Founder of the Chapter 

IEEE Fellow

Recent Posts

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.
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.

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