Elsevier Announces New Editor-in-Chief for Digital Signal Processing

New York, 27 October 2011 – Elsevier, a world-leading publisher of scientific, technical and medical information products and services, announced that Ercan Engin Kuruoglu, Senior Research Scientist at Italian National Council of Research (CNR), Institute of Science and Technology of Information (ISTI), “A. Faedo”, Pisa succeeds Muralidhar Rangaswamy and Fred Harris as Editor-in-Chief of Digital Signal Processing ( www.elsevier.com/locate/dsp).

Ercan Engin Kuruoglu received his PhD and MPhil degrees in information engineering from the University of Cambridge. His research activities concentrated on several signal processing areas including impulsive process modelling by alpha-stable distributions, statistical/Bayesian image processing, source separation for cosmology, bioinformatics, collaborative multimedia systems, and information and coding theory. He held research positions in INRIA (as an ERCIM fellow), Xerox Research Europe, Cambridge and Georgia Institute of Technology at Shanghai. He received the Alexander von Humboldt Experienced Researcher Fellowship and will be with the Humboldt University, Berlin in 2012. Currently, he is an Associate Professor and Senior Researcher at ISTI-CNR in Pisa, Italy. His past editorial experience includes several Guest Editorships for special issues and Associate Editorships in various signal and image processing journals.

Kuruoglu aims “to differentiate Digital Signal Processing from other signal processing journals by making it more dynamic, more innovative, more timely, more revolutionary and liberal to new ideas.” He stated, “We will become a journal the publication date of which the signal processing audience will be waiting for with impatience, in which researchers from diverse areas in signal processing will desire to publish and where they will find their new ideas accepted and valued.”

“Elsevier is delighted to have Ercan Kuruoglu as the new Editor-in-Chief of the journal” commented Christopher Greenwell, Publisher for Elsevier’s control and signal processing journals. “Our shared vision of rapid publication of novel research coupled with a return to encouraging high-quality tutorial and review papers has the aim of once again making Digital Signal Processing the first choice for both readers and authors looking to be at the leading edge of the field.”

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About Digital Signal Processing
Digital Signal Processing is one of the oldest and most established journals in the field of signal processing. Yet it aims to be the most innovative one. The journal invites top quality research articles at the frontiers of research in all aspects of signal processing. It provides a platform for the publication of groundbreaking research in signal processing with both academic and industrial appeal.

Digital Signal Processing emphasizes statistical signal processing methodology such as Bayesian signal processing, and encourages articles on emerging areas in signal processing.

Visit  www.elsevier.com/locate/dsp for a full overview of the journal, including a new and updated Aims and Scope.

About Elsevier

Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology professionals, empowering them to make better decisions, deliver better care, and sometimes make groundbreaking discoveries that advance the boundaries of knowledge and human progress. Elsevier provides web-based, digital solutions — among them ScienceDirect, Scopus, Elsevier Research Intelligence, and ClinicalKey — and publishes nearly 2,200 journals, including The Lancet and Cell, and over 25,000 book titles, including a number of iconic reference works.

The company is part of Reed Elsevier Group PLC, a world leading provider of professional information solutions in the Science, Medical, Legal and Risk and Business sectors, which is jointly owned by Reed Elsevier PLC and Reed Elsevier NV. The ticker symbols are REN (Euronext Amsterdam), REL (London Stock Exchange), RUK and ENL (New York Stock Exchange).

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