Saeid Haghighatshoar
ContactEinsteinufer 25, 10587 Berlin, HFT 604. Tel: +49(0)30 31428461 Mobile:+49(0)17643483788 Fax: +49(0)30 31428320 Email: saeid.haghighatshoar@tuberlin.de, haghighatshoar@gmail.com TU Berlin Website: https://www.commit.tuberlin.de/menue/mitarbeiter/dr_saeid_haghighatshoar About meI received my B.Sc. in Electrical Engineering in Electronics (20042007) and my M.Sc. in Communication Systems (20072009) both from Sharif University of Technology TehranIran. I received my Ph.D. in Computer and Communication Science from École Polytechnique Fédérale de Lausanne (EPFL) in September 2014. My Advisor was Prof. Bixio Rimoldi. The title of my dissertation is ‘‘Compressed sensing of memoryless sources: a deterministic Hadamard construction’’. Since January 2015, I am a postdoctoral researcher in the Communications and Information Theory Group (CommIT) in Technische Universität Berlin (TU Berlin) working with Prof. Giuseppe Caire. ResearchI am mainly working at the intersection of information and communication theory, wireless communication and wireless signal processing, compressed sensing, optimization theory and convex analysis. I am interested in developing efficient and lowcomplexity algorithms to deal with highdimensional data that arises signal processing application in wireless communication. A summary of my research interest is as follows:
Past ResearchDuring my Ph.D. I mainly worked on designing deterministic and structured matrices that yield highspeed acquisition and recovery algorithms for compressed sensing. The title of my thesis was ‘‘Compressed sensing of memoryless sources: a deterministic Hadamard construction’’. An unofficial PDF version of my thesis is available here. A list of topics that I studied includes:
Current ResearchMy current research focuses on designing efficient and lowcomplexity algorithms for signal processing (e.g., signal acquisition, subspace estimation, and user clustering, etc.) in massive MIMO systems. Massive MIMO is a special case of MIMO where a basestation is equipped with very large number of antennas. There are many interesting mathematical problems that arise because of the stochastic nature of the channel and highdimensional structure of the signal because of using many number of antennas. This relates my research to other research areas such as:
