SPS ASI Webinar: 30 November 2022, Dr. Nikil Dutt
Date: 30 November 2022
Time: 8:00 AM (PST)
Title: Computational Self-awareness and Self-organization: A Paradigm for Building Adaptive, Resilient Computing Platforms
Full webinar details
Date: 30 November 2022
Time: 8:00 AM (PST)
Title: Computational Self-awareness and Self-organization: A Paradigm for Building Adaptive, Resilient Computing Platforms
Full webinar details
Date: November 16, 2022
Time: 8:00 AM ET (New York Time)
Title: EnerGAN++: A Generative Adversarial Gated Recurrent Network for Robust Energy Disaggregation
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Date: 9-12 May 2023
Location: San Antonio, TX, USA
Automotives in next-generation vehicular networks will be equipped with advanced communication and multi-modal sensing capabilities. Existing radar sensing solutions, however, are not designed to leverage this connectivity and sensing infrastructure. The PhD project will address this gap by developing advanced signal processing algorithms that make the best use of the available infrastructure.
We are looking for candidates with a strong background in statistical signal processing, information theory, and good programming skills in Python and/or Matlab. Doctoral and postdoctoral candidates should have a master’s, and respectively Ph.D., degree preferably in signal processing, mathematics, data-science or related fields with a strong quantitative orientation.
We are looking for candidates interested in developing deep learning algorithms for brain-related 2D/3D MRI or microscopy images. Possible topics include image registration, segmentation or the automatic tracking/tracing of neurons in large 3D image data. We also welcome new project proposals related to brain/neuron image data analysis.
Experience in biomedical image analysis is a plus, but not a requirement. This position can be a great opportunity to apply knowledge and expertise from computer vision and/or image processing to new problems in the biomedical field.
Manuscript Due: 15 August 2023
Publication Date: March 2024
Dr. Li is a Singaporean scientist, and a Chinese Teochew native. He is now a Presidential Chair Professor at the School of Data Science, The Chinese University of Hong Kong, Shenzhen, China. He did his Ph.D in digital signal processing of speech in 1990, and spent the past three decades to refine the technology.
Date: 2 November 2022
Time: 3:00 PM (Central European Time (CET))
Title: Artificial Intelligence for Applications in Neurology
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Many tasks in medicine still involve substantial manual work. In many cases there is strong potential for intelligent automation by Artificial Intelligence (AI), leading possibly to a reduction in costs and man-hours, while increasing the quality of clinical service.