Mohammad Hossein Taghavi

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Office: Room 2321, EBU1.   Phone: 858-822-0436   Email: mtaghavi@ucsd.edu Welcome to my homepage! I am a Ph.D. student at the Electrical and Computer Engineering department, University of California San Diego. I joined the Signal Transmission and Recording (STAR) Lab in spring 2004, and I'm working in the area of coding/information theory, under the supervision of Prof. Paul H. Siegel. I have also been collaborating with Prof. George Papen. Mini-Biography I grew up in Tehran, Iran, and I received my BS in Electrical Engineering from Sharif University of Technology before joining UCSD as a graduate student in 2003. My BS project advisor was Prof. Babak Khalaj. I got my MS degree in EE/Communication Theory and Systems in spring 2005, and now I'm continuing my research towards PhD. Research Coding theory: The area of coding theory has observed tremendous progress in the last decade. Coding schemes that combine random properties with algebraic structure, such as Low-Density Parity-Check (LDPC) and serial/parallel concatenated codes, have enabled us to asymptotically achieve the Shannon limit with low-complexity iterative decoders. However, there are still major open problems on the behavior of these codes when the block length is not very large. My current research involves performance study and decoder design for these capacity-approaching codes, as well as their application to communications and data storage. Information theory of nonlinear channels: My recent project was on the capacity analysis of nonlinear fiber optics. As the transmission powers in an optical fiber channel increases, nonlinearities cause the signals traveling in different wavelengths to mix, destroying the orthogonality of the sub-channels in a fairly complicated way. We studied this channel from a multiuser point of view using a perturbation approach. It turned out that these nonlinearities do not have a first order effect on the capacity region of the channel, if the optimal detection scheme is employed, but they severely degrade the performance of conventional Single-Wavelength Detection schemes. Multiple antenna CDMA systems: As my BS project, I worked on multiple antenna schemes and their application to CDMA systems. We studied equalization techniques for ISI and MUI suppression in frequency-selective fading channels in the presence of transmit diversity. Other interests: Multiuser/network information theory, Optimization, Machine Learning, Probability theory.