| The 7th IEEE Global Conference on Signal and Information Processing (GlobalSIP) will be held at the Shaw Centre in Ottawa, Ontario, Canada on November 11-14, 2019. GlobalSIP focuses on signal and information processing with an emphasis on up-and-coming signal processing themes. The conference features world-class plenary speeches, distinguished symposium talks, tutorials, exhibits, oral and poster sessions, and panels. GlobalSIP is comprised of co-located General Symposium and symposia selected based on responses to the call-for-symposia proposals.
We are now accepting paper submissions for both the General Symposium and Topical Symposia for 2019 IEEE GlobalSIP. The paper submission deadline is June 17, 2019.
Topics for the General Symposium
Signal & information processing for:
- communications and networks, including green communications
- optical communications
- forensics and security
- finance
- energy, power systems, smart grid
- neural networks, deep learning
- genomics and bioengineering (physiological, pharmacological and behavioral)
- Image and video processing
- Selected topics in speech processing and human language technologies
- Human machine interfaces
- Multimedia transmission, indexing, retrieval, and quality of experience
- Selected topics in statistical signal processing
- Cognitive communications and radar
- Graph-theoretic signal processing
- Machine learning
- Compressed sensing, sparsity aware processing
- Seismic signal processing
- Big data and social media challenges
- Hardware and real-time implementations
- Other (industrial) emerging applications of signal and information processing
- 5G wireless communication
- Massive MIMO
- Mm-Wave communication
- Bio-image analysis
Topical Symposia open for Submissions
- Machine learning in multimedia communication
- Artificial intelligence for future wireless communication
- Signal processing challenges in modern radio astronomy
- Deep learning for healthcare engineering
- Signal processing advances for non-orthogonal multiple access in future wireless networks
- Graph signal processing
- Advanced bio-signal processing and machine learning for assistive and neuro-rehabilitation systems
- Tensor methods for signal processing and machine learning
- Machine learning, optimization and security for future energy delivery systems
- Signal/information processing and AI for finance and business
- Signal processing for human machine learning systems
- Signal and information processing for person-centered and citizen-centered smart living
- Intelligent wireless security provisioning for 5G and beyond
- Machine learning for wireless communications, networking, and security
- Signal processing and machine learning for social good
- Machine learning for rare event detection in healthcare
- Non-Orthogonal Multiple Access
Sponsors:
IEEE | IEEE Signal Processing Society |
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