EMINA SOLJANIN

RU picture I am a Professor of Electrical & Computer Engineering at Rutgers. Before moving to Rutgers in January 2016, I was a (Distinguished) Member of Technical Staff for 21 years in various re-incarnations of the Mathematicas Sciences Research Center of Bell Labs.






Office
CoRE 511, 94 Brett Rd, Piscataway, NJ 08854
emina DOT soljanin AT rutgers DOT edu
(848) 445-5256


I am a new professor and these pages are under construction.

Big storage I use mathematics to understand and design distributed systems. I do research in coding, information, and (more recently) queueing theory, and rely on tools from many areas of pure mathematics such as probability, algebra, graph and number theory, and combinatorics. At the moment, I am concerned with mechanisms for efficient, reliable, and secure data storage that provide fast access, dowload, and streaming of big data files.

My research interests and expertise are wide, and I am always open to starting new projects and collaborations. Over the past quarter of the century, I participated in numerous research and business projects, as diverse as power system optimization, magnetic recording, color space quantization, hybrid ARQ, network coding, optical space division multiplexing, data and network security, and quantum computation.

Teaching Spring 2016: ERROR CONTROL CODING
Coding plays an important role in many scientic disciplines and virtually all telecommunication systems. In practice, codes are used to efficiently insure reliable, secure, and private transmission and storage of data. In theory, codes are used to e.g., study computational complexity, design screening experiments, provide a bridge between statistical mechanics and information theory, and even help explain the spacetime fabric of reality. One can also use codes for entertainment, e.g., to solve balance puzzles such as the penny weighing problem, or to design social (hat color) guessing-game strategies that signi cantly increase the odds of wining. This course covers the fundamentals of coding theory and practice, as well as some additional topics that are selected based on backgrounds and interest of the students enrolled in the class. Prerequisites are algebra and probability at undergraduate level.

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