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W. Bastiaan Kleijn

Victoria University of Wellington Wellington, New Zealand

K. V. S. Hari

Indian Institute of Science Bangalore, India

Eduardo A.B. Da Silva

Universidade Federal do Rio de Janeiro Rio de Janeiro, Brazil

Paris Smaragdis

University of Illinois Urbana, IL, USA

Athina P. Petropulu

Rutgers, The State University of New Jersey Piscataway, NJ, USA

Shoji Makino

University of Tsukuba Tsukuba, Japan

Ahmed H. Tewfik

University of Texas, Austin Austin, TX, USA

PhD/Postdoc Position in Deep Learning with Brain/Speech Data

The Biomedical Imaging & Graphics (BIG) lab at the University of Saskatchewan, Canada, led by Dr. Ian Stavness, is hiring a fully-funded PhD Student or Post-doc in Computer Science / Electrical Engineering / Biomedical Engineering to work on deep learning in speech and neural signal processing. We plan combine powerful computer simulations of vocal tract biomechanics with neural and acoustic signals of speech production captured with state-of-the-art magnetoencephalography (MEG) measurement.

Radar - Communication

The Lab focuses on sampling, modeling and processing of continuous-time and discrete-time signals and on new design paradigms in which sampling and processing are designed jointly in order to exploit signal properties already in the sampling stage. This approach has the potential to drastically reduce the sampling and processing rates well below the Nyquist rate, typically considered as the ultimate limit for analog to digital conversion.