Theoretical foundations for dealing with data scarcity and distributed computing in modern machine learning 

Constraint-based program analysis for concurrent software 

Resource scheduling in geo-distributed computing 

Towards efficient edge intelligence with in-sensor and neuromorphic computing: algorithm-hardware co-design 

Self-assembly for discreet, fault-tolerant, and scalable computation on internet-sized distributed networks 

Identifying and leveraging structure in complex cooperative tasks for multi-agent reinforcement learning 

Feasibility theory 

Semantic-based visual information retrieval using natural language queries 

Automated synthesis of domain-specific model interpreters 

Enabling symbolic execution string comparison during code-analysis of malicious binaries 

Artistic control combined with contact and elasticity modeling in computer animation pipelines 

Reducing user-perceived latency in mobile applications via prefetching and caching 

Resource underutilization exploitation for power efficient and reliable throughput processor 

Performance optimization of scientific applications on emerging architectures 

Leveraging structure for learning robot control and reactive planning 

Cooperative localization of a compact spacecraft group using computer vision 

Interaction between Artificial Intelligence Systems and Primate Brains 

Simulation and machine learning at exascale 

String matching architectures for network security on reconfigurable computers 

Large-scale fault isolation in the Internet 

Learning to optimize the geometry and appearance from images 

Assessing software maintainability in systems by leveraging fuzzy methods and linguistic analysis 

Computational modeling of mental health therapy sessions 

Efficient reachability query evaluation in large spatiotemporal contact networks 

Efficient pipelines for vision-based context sensing