Scopul nostru este sprijinirea şi promovarea cercetării ştiinţifice şi facilitarea comunicării între cercetătorii români din întreaga lume.
Universitatea Politehnica Bucuresti, Bucuresti, .
E-mail: trimite un mesaj.
Pagina web a instituţiei: http://acse.pub.ro/person/ion-necoara/
Pagina web personala: http://acse.pub.ro/person/ion-necoara/
Nascut(a) in: 1977
Interese: optimizare, teoria controlului, algorimi numerici
Details:
Ion Necoara received the B.Sc. degree in mathematics and the M.Sc. degree in optimization and statistics from the Faculty of Mathematics, University of Bucharest, in 2000 and 2002. After graduating he worked as a Ph.D. student at the Delft Center for Systems and Control , Delft University of Technology, The Netherlands. From August to November 2005 he was an invited researcher at University of Cambridge, UK. For the period 2006–2009, he completed a Postdoctoral Fellowship at the Katholieke Universiteit Leuven , Belgium. Since 2009 he is a staff member of the Faculty of Automatic Control and Computers, Politehnica University of Bucharest , where he is now an Associate Professor of Numerical Methods and Optimization.
He has been visiting lecturer or invited professor to a number of universities including Universite Catholique de Louvain (Belgium), Delft University of Technology (The Netherlands), ETH Zurich (Switzerland), Lund University (Sweden), SUPELEC (France), KU Leuven (Belgium), University of Cambridge (UK), IMT Lucca (Italy).
Dr. Necoara is the author of about 25 papers in peer reviewed journals, of 5 book chapters, and of over 45 papers in refereed international conference proceedings. He is author of the book Model predictive control for hybrid systems: piecewise affine and max-plus-linear systems , VDM. He is a member of the IFAC Committee on Optimal Control. He has also served in the IPC of various international conferences.
His main research interests cover various topics in developing new optimization algorithms with a focus on structure exploiting and applying optimization techniques for developing new advanced controller design algorithms for complex systems. Practical applications include: embedded control, control of robots, power systems, smart electricity grids, weather forecasts, signal processing.