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Alexandros Manolakos
PhD Candidate
Department of Electrical Engineering
Stanford University

Primary Advisor: Prof. Andrea Goldsmith

Contact

Office: Packard 340, Stanford
Email: amanolak at stanford dot edu

In Short

I am currently a Ph.D. student in the Wireless System Laboratory (WSL) in the Electrical Engineering department at Stanford University working under the supervision of Prof. Andrea Goldsmith. I received my M.Sc. from the same department in June 2012 and my Diploma degree (5 years degree) in the National Technical University of Athens (NTUA) in June 2010.

My research is/was funded by

Research Interests

  • Wireless Communications: Cooperative Multipoint Cellular Networks, Massive MIMO Wireless Systems, Interference mitigation, Ad Hoc Networks

  • Statistical Learning: Unsupervised learning, data fusion, machine learning

Research Projects

  • Practical Design of Massive MIMO Systems. We are working on designing a multiple access system with a receiver with a huge number of antennas in which no channel knowledge either at the receiver or the transmitter is needed. Joint work with Mainak Chowdhury.

  • Cancer module discovery using gene expression data. We aim at identifying disease driver genes associated with molecular processes and linking them with their targets. We have developed CaMoDi, a novel computational method that allows to link potential drug targets with molecular pathways in a fast, accurate and robust manner. Joint work with Prof. Olivier Gevaert.

  • Null Space Learning in MIMO Communications. The knowledge of the null space enables a MIMO communication system to transmit in the same band simultaneously with another by utilizing separate spatial dimensions; i.e., by restricting its signal to the null space, it can zero out the interference to the other system. In this project we propose fast and accurate schemes for null space learning inside the framework on Cognitive Radios, Spatial MAC and Cellulal Wireless networks. In 2012 together with Prof. Noam and Prof. Goldsmith we participated in the Interdigital Innovation Challenge (I2C) competition with the project Null Space Learning Algorithms and we won the 3rd place. More on this project can be found in: Short Description, Interview.