Dr. Taufik Abrão

Universidade Estadual de Londrina, Brazil

Taufik Abrao received his B. S., M. Sc. and Ph.D., all in Electrical Engineering, from the Polytechnic School of the University of Sao Paulo (EPUSP), Brazil, in 1992, 1996, and 2001, respectively. Since March 1997 he has been with the Department of Electrical Engineering, Londrina State University (UEL) Brazil, where he is currently an Associate Professor in communications engineering. In 2012 he was an Academic Visitor at CSPC University of Southampton, UK.  Dr. Abrao is involved in editorial board activities of several journals and has served as TCP member in several symposium and conferences. His research interests lie in communications, including multi-user detection and estimation, MC-CDMA and MIMO systems, cooperative communication and relaying, resource allocation, heuristic and convex optimization aspects. He is co-authored of more than 180 research papers published in specialized international journals and conferences.

Experience

Education

  • 1988 - 1991

    Escola Politécnica - EPUSP, Universidade de São Paulo, Sao Paulo

    Electrical Engineering

  • 1996 – 2001

    Escola Politécnica (EPUSP), Universidade de São Paulo, São Paulo

    Electrical Engineering

Edited Books

  • Search Algorithms for Engineering Optimization

    Heuristic Search is an important sub-discipline of optimization theory and finds applications in a vast variety of fields, including life science and engineering. Search methods have been useful in solving tough engineering-oriented problems that either could not be solved any other way or solutions take a very long time to be computed. This book explores a variety of applications for search methods and techniques in different fields of electrical engineering. By organizing relevant results and applications, this book will serve as a useful resource for students, researchers and practitioners to further exploit the potential of search methods in solving hard optimization problems that arise in advanced engineering technologies, such as image and video processing issues, detection and resource allocation in telecommunication systems, security and harmonic reduction in power generation systems, as well as redundancy optimization problem and search-fuzzy learning mechanisms in industrial applications.

Publications