Webinar Details: 21 March 2018 from 11:00am - 12:00pm (EDT) 
Attendee Registration Link: Register for Webinar, by Dr. Xiao-Ping (Steven) Zhang
Topic: Fundamentals on Signal Processing for Finance and Economics

The IEEE Signal Processing Society is very excited to offer the next webinar in our new series featuring “technical and technological innovations and their applications in signal processing” from top researchers and thought leaders in academia and industry. 

The Signal Processing Society (SPS) has 12 Technical Committees and 3 Special Interest Groups (SIGs) that support a broad selection of signal processing-related activities defined by the scope of the Society.

The 2018 IEEE Data Science Workshop is a new workshop that aims to bring together researchers in academia and industry to share the most recent and exciting advances in data science theory and applications.

Author: Song-Wen Huang  (University at Buffalo, the State University of New York) Advisor: Dimitris A. Pados
Radio frequency and underwater acoustic communications have grown rapidly in environmental monitoring, telecommunications, offshore oil exploration, and surveillance applications. Nonetheless, signals may still suffer from harsh challenges in wireless fading channels for high attenuation, multipath effect, and Doppler spread. 

Speech and Language processing (SLP) is essentially a series of sequence-to-sequence learning problems. Conventional SLP systems map input to output sequences through module-based architectures where each module is independently trained. 

The 8^th Annual Vancouver Short Film Festival took place in Vancouver, BC, Canada this past January, and SPS earned it spots on the silver screen! Erin Cumming, director of Under the Radar, took home the Audience Choice Award during the festival.

IEEE Signal Processing Society is accepting proposals in all regions for the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The 2018 IEEE Data Science Workshop is a new workshop that aims to bring together researchers in academia and industry to share the most recent and exciting advances in data science theory and applications.