Simulation and machine learning at exascale 

Scaling up deep graph learning: efficient algorithms, expressive models and fast acceleration 

Reducing inter-component communication vulnerabilities in event-based systems 

Dynamic graph analytics for cyber systems security applications 

Object classification based on neural-network-inspired image transforms 

An investigation into magnetically induced extractor-less electrospray propulsion devices 

Clustering 16S rRNA sequences: an accurate and efficient approach 

GeoCrowd: a spatial crowdsourcing system implementation 

Mixed-signal integrated circuits for interference tolerance in wireless receivers and fast frequency hopping 

An investigation of fully interactive multi-role dialogue agents 

Advanced machine learning techniques for video, social and biomedical data analytics 

Beyond parallel data: decipherment for better quality machine translation 

Machine learning for efficient network management 

Multi-level and energy-aware resource consolidation in a virtualized cloud computing system 

Adaptive and resilient stream processing on cloud infrastructure 

Functional connectivity analysis and network identification in the human brain 

Printed and flexible carbon nanotube macroelectronics 

Performance improvement and power reduction techniques of on-chip networks 

Printed electronics based on carbon nanotubes and two-dimensional transition metal dichalcogenides 

Developing and benchmarking computational tools to facilitate T cell receptor repertoire analysis 

Development and study of access control models for semantic networks 

Relative positioning, network formation, and routing in robotic wireless networks 

Efficient pipelines for vision-based context sensing 

Hardware and software techniques for irregular parallelism 

Expanding the synthesis space of 3D nano- and micro-architected lattice materials