#iot

First-author paper on adaptive batching of IoT workloads at the edge, trading latency against throughput and resource cost.

Technical report on the privacy-cognizant IoT environment built for the DARPA Brandeis program.

Experience report on moving the DARPA-funded TIPPERS privacy-preserving IoT platform from a university testbed to testing in the U.S. Navy's Trident Warrior exercises.

Journal version of IoT Notary: tamper-evident, cryptographically verifiable records of what a smart environment's sensors captured and under which policy, so compliance can be checked independently after the fact.

Sole-author overview of my doctoral research on privacy-preserving data collection and sharing in smart spaces.

A privacy-enabled sensing platform supporting COVID-19 applications such as occupancy monitoring and exposure awareness.

Design of middleware that enforces privacy policies when IoT sensor data is shared with applications.

Best Paper Award. Introduces sensor data attestation for smart spaces: users and auditors can verify that data was captured according to declared policies.

Demonstration of a system that maps high-level application requests onto heterogeneous sensors in smart buildings.

DARPA-funded platform that lets smart buildings use sensor data while enforcing privacy rules for the people inside. Deployed on the UC Irvine campus and tested in the U.S. Navy's Trident Warrior 2019 and 2020 exercises.

Middleware that keeps IoT data flowing during network failures by combining software-defined networking with edge cloud resources.

Resilient IoT data exchange using SDN and edge resources; 1st place at the Linux Foundation Akraino 5G MEC Hackathon and committer on an LF Edge blueprint.

A multi-network architecture for community-scale IoT safety and alerting that stays available when individual networks fail.

Low-cost IoT sensing and alerting for community safety, originating from the SmartAmerica Challenge.