A data integration approach to dynamically fusing geospatial sources 

Scalable reputation systems for peer-to-peer networks 

Heterogeneous federated learning 

Data privacy in deep learning using trusted hardware 

Trusted grid and P2P computing with security binding and reputation aggregation 

Algorithmic aspects of throughput-delay performance for fast data collection in wireless sensor networks 

Learning effective and robust knowledge for semantic query optimization 

The use of functional aggregates to simplify reasoning qualitatively about complex physical systems 

Point-based representations for 3D perception and reconstruction 

Practice-inspired trust models and mechanisms for differential privacy 

An evaluation of Esri’s tapestry segmentation product in three Southern California communities: Manhattan Beach, Santa Monica, and Venice Beach 

Resource scheduling in geo-distributed computing 

Scaling-out traffic management in the cloud 

Provenance management for dynamic, distributed and dataflow environments 

Context-based information and trust analysis 

Addressing physician burnout: is there a relationship with leadership behaviors? 

Does the Bay Area have a social center? Delimiting the postmodern urban center of the San Francisco Bay Area 

Security and privacy in information processing 

Adaptive façade controls: A methodology based on occupant visual comfort preferences and cluster analysis 

Balancing security and performance of network request-response protocols 

Cal ToxTrack: a full stack Web GIS for mapping pollution in California 

Crowd-sourced collaborative sensing in highly mobile environments 

Creating a water quality geodatabase for the West Hawai‘i Island region 

Self -organizing hierarchies and their application to the Internet and emerging pervasive computing applications 

Distributed infrastructures for network data correlation.