Professor, Electrical and Computer Engineering
Faculty, Computer Science and Engineering
Communications and information theory, with particular interests in signal processing, data compression, speech recognition and learning theory. While Professor Orlitsky is a theorist, his research deals with concrete communication scenarios. Orlitsky is actively studying interactive communication: if sender and receiver interact, they can reduce the number of bits that must be transmitted. That's essentially what happens when you view a Web page for which you have downloaded a previous version; the server doesn't have to send all the bits each time. Orlitsky also studies "communication complexity." How many bits must two communicators exchange to determine if their versions of a file are identical? Or two seismic stations to determine the location of an earthquake? His work in speech processing and recognition is of both practical and theoretical interest. Orlitsky is looking at information-theoretic approaches to speech processing, touching on issues including recognition, compression, and synthesis. His work in learning theory is primarily about online learning, and he maintains an interest in investment theory based on the work he did as a quantitative analyst for a Wall Street investment firm (see bio).Orlitsky teaches information theory and algebraic coding in ECE, and discrete mathematics in the Computer Science and Engineering department.
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