Advisor: Srinivasarao Gollapudi
Email: gsr.gsrao@gmail.com
Chair: Harika Jyothi Mettu
Email: harika.mettu14@gmail.com
Chair: Christos Masouros
University College London
United Kingdom
Term Ends: 31 December 2025
Meeting notes of the Integrated Sensing and Communication Technical Working Group (ISAC TWG):
TWG Approved: 8 May 2021
The Signal Acquisition, Modeling, Processing and Learning (SAMPL) lab headed by Prof. Yonina Eldar at the Weizmann Institute of Science is recruiting post-doctoral students for cutting-edge research
at the intersection of signal processing, information theory and learning. The work will be performed in collaboration with Prof. Muriel Medard at MIT, working with collaborative and supportive teams.
Background in one or more of the above areas required with the desire to expand into the other areas.
The Signal Acquisition, Modeling, Processing and Learning (SAMPL) lab headed by Prof. Yonina Eldar at the Weizmann Institute of Science is recruiting post-doctoral students for cutting-edge research
at the intersection of signal processing, information theory and learning. The work will be performed in collaboration with Prof. Muriel Medard at MIT, working with collaborative and supportive teams.
Background in one or more of the above areas required with the desire to expand into the other areas.
A postdoctoral research position is available at Johns Hopkins University in the laboratory of Dr. Mounya Elhilali to investigate representation of complex sounds in both biological and artificial networks. The position is available immediately for two years, with possibility of renewal.
The ideal applicant will have a doctoral degree in computer science, electrical engineering, applied mathematics, neuroscience, psychology, hearing or brain sciences, with strong quantitative skills.
Submission Deadline: September 30, 2021
Call for Proposals Document
Associated SPS Event: IEEE ICASSP 2021 Grand Challenge
The ICASSP 2021 Deep Noise Suppression (DNS) challenge is designed to foster innovation in the field of noise suppression to achieve superior perceptual speech quality. We recently organized a DNS challenge special session at INTERSPEECH 2020. We open sourced training and test datasets for researchers to train their noise suppression models. We also open sourced a subjective evaluation framework and used the tool to evaluate and pick the final winners. Many researchers from academia and industry made significant contributions to push the field forward.
Associated SPS Event: IEEE ICASSP 2021 Grand Challenge
Novel Coronavirus (COVID-19) has drastically overwhelmed more than 200 countries around the world affecting millions and claiming more than 1.5 million human lives, since its first emergence in late 2019. This highly contagious disease can easily spread, and if not controlled in a timely fashion, can rapidly incapacitate healthcare systems.
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