|
|
Hamed Farhadi is a Post Doctoral Fellow at Chalmers University of Technology, Sweden and a Research Fellow at Harvard University. His research at Chalmers focuses on intelligent transportation systems and they develop coordinated techniques for traffic flow control in urban road networks. He received a PhD degree in Telecommunication from KTH Royal Institute of Technology, Sweden. His PhD research concerned coordinated communication techniques for wireless communication networks. He has used techniques from signal processing theory and information theory to design and analyze these techniques. In particular, he has designed channel training scheme, feedback techniques, and radio resource allocation algorithms for interference alignment technique. His proposed algorithms implemented on a wireless network test-bed at KTH. Their research findings on this topic have been presented / published in major IEEE conferences and journals.
He received his B. Sc. degree (with honors) in Electrical Engineering (major in Electronics) from Iran University of Science and Technology, Tehran. The topic of his final project was 'design, simulation, and synthesis of a neural network controller with FPGA'. He acquired VHDL language skill and digital integrated circuit (IC) design using FPGA within this project. Next, he admitted to a master program in Electrical Engineering (major in Communication Systems) at University of Tehran. His master thesis entitles 'Design of analog LDPC decoders for wireless communications', in which he designed analog circuits for joint channel estimation and decoding of LDPC error correcting codes. In this thesis work, he developed a software package for automated generation of the description of analog decoder circuit suitable for circuit level simulations of LDPC codes with HSPICE simulator.
His research interests includes information theory and signal processing for a broad range of applications including wireless communication networks and wireless healthcare systems.
|