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Section: Publications & Resources

Facial expressions are configurations of different muscle movements in the face. The local characters of muscle movements play an important role in distinguishing facial expressions by machines. In this webinar, the presenter will explore the local characters local characters of muscle movements by introducing the attention mechanism into two frameworks.

We invite applications for the post of Lecturer or Associate Professor in the Signal Processing, Audio and Hearing research group at the Institute of Sound and Vibration Research (ISVR), University of Southampton. We are open to applicants from a broad range of disciplines from within the fields of Acoustic, Audio and Speech Signal Processing. https://jobs.soton.ac.uk/Vacancy.aspx?ref=1350921DA-R

The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for a Tenure Track Professorship for Intelligent Speech Interfaces (W1 / Assistant Professor)

PhD Studentship - UCL Institute of Healthcare Engineering EPSRC PhD Studentships on Healthy Ageing Project Title:  Lab-on-an-App: AI Empowered Point-of-Care Diagnostics for Ageing Population Project Supervisor: Professor Miguel Rodrigues | Dept Electronic and Electrical Engineering | University College London Project Co-Supervisors:

Advisor: Brindha Saminathan Email: brindhamit@gmail.com Chair: Nirmal Raja K L Email: nirmalraja.loga2206@gmail.com  

Section: Professional Development

SPS Mentors for SigMA Program

Section: Publications & Resources

I-DeepLearn aims to increase diversity in computer science and related field by inviting students from grades 10-12 to experience machine learning (Artificial Intelligence) and deep learning (AI processing) and their applications, specifically in the healthcare domain. In this one-week online workshop, students will learn about essential concepts in machine learning and deep learning through a dynamic mix of hands-on programming projects and interactive discussions.

Section: Publications & Resources

Publication: IEEE Journal of Selected Topics in Signal Processing

Automotive radar is used in many applications of advanced driver assistance systems and is considered as one of the key technologies for highly automated driving. An overview of state-of-the-art signal processing in automotive radar is presented along with current research directions and practical challenges.

Section: Publications & Resources

Publication: IEEE Journal of Selected Topics in Signal Processing

We propose a high-resolution imaging radar system to enable high-fidelity four-dimensional (4D) sensing for autonomous driving, i.e., range, Doppler, azimuth, and elevation, through a joint sparsity design in frequency spectrum and array configurations. To accommodate a high number of automotive radars operating at the same frequency band while avoiding mutual interference, random sparse step-frequency waveform (RSSFW) is proposed to synthesize a large effective bandwidth to achieve high range resolution profiles.

Section: Publications & Resources

Publication: IEEE Journal of Selected Topics in Signal Processing

Automotive imaging radars require high angular resolution which can be achieved by a large antenna aperture. In order to obey Nyquist spatial sampling rate, a large number of array elements and receive channels is required. In practice, this solution results in a prohibitively high cost and complexity.