Nicholas Kalouptsidis

Nicholas Kalouptsidis is a Professor in the Department of Communications and Signal Processing. His research focuses on interdisciplinary areas including nonlinear communications, cryptography, adaptive filtering, and neural networks. He is affiliated with the DSP Lab, contributing to advancements in signal processing methodologies.

His teaching portfolio includes undergraduate courses in Image Processing and Signals & Systems, as well as postgraduate modules on Error Control Coding & Information Theory, Introduction to Telecommunications, and System's Security.

Dr. Kalouptsidis has expertise in discrete choice models, nonlinear systems control, and communication policies. While specific publications are not detailed here, his work spans coding theory, nonlinear identification, and pattern recognition applications. His collaborations (Co-Workers) and research outputs are available via the provided Download section.