Quantum computation in wireless networks 

Spatiotemporal prediction with deep learning on graphs 

Spatiotemporal traffic forecasting in road networks 

Efficient transforms for graph signals with applications to video coding 

Brain connectivity in epilepsy 

Signaling networks in complex brain disorders 

Heterogeneous graphs versus multimodal content: modeling, mining, and analysis of social network data 

Power-efficient biomimetic neural circuits 

Designing data-effective machine learning pipeline in application to physics and material science 

Deep learning models for temporal data in health care 

Sampling theory for graph signals with applications to semi-supervised learning 

Efficient pipelines for vision-based context sensing 

Graph-based models and transforms for signal/data processing with applications to video coding 

The application of machine learning in stock market 

Identifying Social Roles in Online Contentious Discussions 

Hashcode representations of natural language for relation extraction 

Machine learning for efficient network management 

Penetrating parylene neural probe array for dense, in vivo, chronic recordings 

Modeling, searching, and explaining abnormal instances in multi-relational networks 

Novel multi-stage and CTLS-based model updating methods and real-time neural network-based semiactive model predictive control algorithms 

Bidirectional neural interfaces for neuroprosthetics 

Learning, adaptation and control to enhance wireless network performance 

Architecture design and algorithmic optimizations for accelerating graph analytics on FPGA 

Scalable sampling and reconstruction for graph signals 

Analysis, design, and optimization of large-scale networks of dynamical systems