Dra. Nina Skorin-Kapov

Associate Professor / Profesor Contratado Doctor (Acredit. ANECA de TU 2012)

DATOS DE CONTACTO
Teléfono: +34-968-188-723
E-Mail: nina.skorinkapov@cud.upct.es
Dirección:
Despacho: 24
Grupo de investigación: GICOT
BREVE BIOGRAFÍA

Nina Skorin-Kapov was born in Zagreb, Croatia, in 1981 and grew up in Vancouver, Canada, and Long Island, New York, USA. In 1996 she returned to Croatia and received her Dipl-Ing (Telecommunications and Informatics) and PhD degrees from the Faculty of Electrical Engineering and Computing at the University of Zagreb, Croatia, in 2003 and 2006, respectively.  In 2006-7, she completed a Post-Doctoral Fellowship at Télécom ParisTech (formerly Ecole Nationale Superieure des Telecommunications, ENST), Paris, France. In 2008, she joined the Department of Telecommunications at the Faculty of Electrical Engineering and Computing at the University of Zagreb as an Assistant Professor, and was promoted to Associate Professor in 2012. In 2013, she joined the Centro Universitario de la Defensa de San Javier (CUD, University Center of Defense at the Spanish Air Force Academy), Santiago de la Ribera, Murcia, Spain, associated to the Technical University of Cartagena (Universidad Politécnica de Cartagena, UPCT), where she is currently an Associate Professor (PCD) and Head of the Computational and Telecommunications Engineering Group (GICOT) research group.  Her main research interests include optimization and planning of communication networks, wide-area optical networks, operations research,  (meta)-heuristic algorithms. She currently serves on the Editorial Board of IEEE/OSA Journal of Optical Communications and Networking and has served on Technical Program Comittees of numerous international conferences, such as ONDM, Networks, IEEE Globecom, IEEE ICC, ACP and IEEE HPSR.

 


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DOCENCIA
Currently teaching: Undergraduate course: Electomagnetic Exploration Systems Masters course: Metaheuristics Graph Theory

Currently teaching:

Undergraduate course:

Electomagnetic Exploration Systems

Masters course:

Metaheuristics

Graph Theory



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